CN109919551A - Logistics service providing method and device, electronic equipment and readable storage medium - Google Patents

Abstract

Embodiments of the present disclosure disclose a logistics service providing method, device, electronic device, and readable storage medium. The method includes: acquiring characteristics and real-time capacity information related to the behavior of canceling a logistics order; The behavior-related characteristics and the real-time capacity information determine the resource provision method, which can determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker to shorten the order receiving time of the logistics order and Increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

Description

Logistics service providing method, device, electronic device and readable storage medium

technical field

The present disclosure relates to the field of Internet technologies, and in particular, to a logistics service providing method, apparatus, electronic device, and readable storage medium.

Background technique

Platforms that provide courier services can provide sellers such as O2O merchants with the service of calling logistics delivery. For example, in the case of O2O local delivery, after the O2O merchant calls for delivery, it enters the stage of crowdsourcing riders to grab delivery orders or logistics orders. Riders can choose a logistics order that suits them according to the distance, price, difficulty of delivery and other factors of the delivery order, and start delivery. Due to the uneven distribution of the seller's orders, the seller's location, delivery item category, logistics order distance, etc. are all different. In this case, the order acceptance rate (the rate at which the logistics order is accepted) of the logistics order issued by each seller is not the same. The time is also long and short. Moreover, in some cases where there are many distribution service providers for sales, the delivery service provider takes too long to receive orders, which may cause the seller to cancel the logistics order. For platforms that provide express services, they may face the loss of merchants and logistics orders. Therefore, it is difficult for the related technology to shorten the order receiving time of the logistics order and increase the order receiving probability to ensure the progress of the logistics service.

SUMMARY OF THE INVENTION

In order to solve the problems in the related art, embodiments of the present disclosure provide a logistics service providing method, apparatus, electronic device, and readable storage medium.

In a first aspect, an embodiment of the present disclosure provides a method for providing logistics services, including:

Obtain characteristics and real-time capacity information related to the behavior of canceling logistics orders;

The resource provision mode is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

In conjunction with the first aspect, in a first implementation manner of the first aspect, the present disclosure further includes:

Provide resources to the logistics order taker who takes the current logistics order according to the determined resource providing method.

With reference to the first aspect, in a second implementation manner of the first aspect of the present disclosure, the determining of the resource provision method according to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information includes:

Based on the information of the current logistics order, the characteristics related to the behavior of canceling the logistics order, and the real-time capacity information, estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the current logistics order to be the cancellation probability of the said logistics order issuer;

The resource provision method is determined according to the maximum waiting time for the logistics order issuer to wait for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time transport capacity information.

With reference to the first aspect, in a third implementation manner of the first aspect of the present disclosure, the determining of the resource provision method according to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information includes:

Estimating, based on the real-time transport capacity information, the order-receiving time and order-receiving probability of the logistics order taker taking the current logistics order;

The resource provision mode is determined according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and the order receiving probability of the logistics order receiving party receiving the current logistics order.

With reference to the first aspect or any one of the first to third implementation manners of the first aspect, the present disclosure is in a fourth implementation manner of the first aspect. Behavior-related characteristics and the real-time capacity information determine how resources are provided, including:

The maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the acceptance of the logistics order receiver to accept the current logistics order. The order duration and the order acceptance probability are matched to calculate the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker that accepts the current logistics order.

With reference to the fourth implementation manner of the first aspect, in the fifth implementation manner of the first aspect of the present disclosure, the provision of resources to the logistics order recipient who receives the current logistics order according to the determined resource provision manner, includes: :

At the calculated time, resources are provided to the logistics order taker that accepts the current logistics order according to the calculated amount of resources.

In conjunction with the fourth implementation manner of the first aspect, in the sixth implementation manner of the first aspect, the present disclosure further includes:

The potential logistics order taker of the current logistics order is notified of the time and the quantity of the resource to be provided to the logistics order taker of the current logistics order.

In conjunction with the fourth implementation manner of the first aspect, in the seventh implementation manner of the first aspect, the present disclosure further includes:

The logistics order issuer is notified of the time and the amount of resources that will be provided to the logistics order taker that takes the current logistics order.

With reference to the fourth implementation manner of the first aspect, in the eighth implementation manner of the first aspect of the present disclosure, the calculating time for the current logistics order to provide resources to the logistics order receiving party receiving the current logistics order and resources, including:

According to the preset resource management rules, the time and the quantity of resources are calculated for the current logistics order to provide resources to the logistics order recipient who has received the current logistics order.

With reference to the first aspect or any one of the first to third implementations of the first aspect, in the ninth implementation of the first aspect, the acquisition is related to the behavior of canceling the logistics order features and real-time capacity information, including:

According to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information, a cancellation portrait of the logistics order issuer canceling the logistics order is acquired.

With reference to the third implementation manner of the first aspect, in the tenth implementation manner of the first aspect of the present disclosure, the order receiving time and the receiving time for the logistics order receiving party to receive the current logistics order are estimated based on the real-time transport capacity information. Single probability, including:

Based on the real-time transport capacity information of the area where the current logistics order is generated, the order receiving time and the order receiving probability of the logistics order taker for taking the current logistics order are calculated.

With reference to the first aspect or any one of the first implementation manner to the third implementation manner of the first aspect, the present disclosure is in an eleventh implementation manner of the first aspect, the behavior related to canceling a logistics order The features include the data of the logistics order issuer related to the behavior of canceling the historical logistics order and the distribution difficulty data of the logistics order issued by the logistics order issuer.

In a second aspect, an embodiment of the present disclosure provides a logistics service providing device, including:

an acquisition module, configured to acquire characteristics related to the behavior of canceling the logistics order and real-time capacity information;

The determining module is configured to determine the resource provision mode according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

In conjunction with the second aspect, in a first implementation manner of the second aspect, the present disclosure further includes:

The providing module is configured to provide resources to the logistics order taker who takes the current logistics order according to the determined resource providing method.

In conjunction with the second aspect, in a second implementation manner of the second aspect of the present disclosure, the determining module includes:

The first estimating sub-module is configured to estimate, based on the information of the current logistics order, the characteristics related to the behavior of canceling the logistics order, and the real-time capacity information, the maximum waiting time for the logistics order issuer to wait for the current logistics order to be picked up. The waiting time and the cancellation probability of the current logistics order being cancelled by the logistics order issuer;

The first determination sub-module is configured to determine according to the maximum waiting time of the logistics order issuer waiting for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time transport capacity information How resources are provided.

In conjunction with the second aspect, in a third implementation manner of the second aspect, the determining module includes:

The second estimation sub-module is configured to estimate, based on the real-time capacity information, the order receiving time and the order receiving probability of the logistics order taker taking the current logistics order;

The second determination sub-module is configured to determine the resource provision method according to the feature related to the behavior of canceling the logistics order, and the order receiving time and order receiving probability of the logistics order taker taking the current logistics order.

With reference to the second aspect or any one of the first to third implementations of the second aspect, in a fourth implementation of the second aspect, the determining module is further configured to:

The maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the acceptance of the logistics order receiver to accept the current logistics order. The order duration and the order acceptance probability are matched to calculate the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker that accepts the current logistics order.

In conjunction with the fourth implementation manner of the second aspect, in a fifth implementation manner of the second aspect of the present disclosure, the providing module is further configured to:

At the calculated time, resources are provided to the logistics order taker that accepts the current logistics order according to the calculated amount of resources.

In conjunction with the fourth implementation manner of the second aspect, in the sixth implementation manner of the second aspect, the present disclosure further includes:

The first notification module is configured to notify the potential logistics order recipient of the current logistics order of the time and the quantity of resources that will be provided to the logistics order recipient of the current logistics order.

In conjunction with the fourth implementation manner of the second aspect, in the seventh implementation manner of the second aspect, the present disclosure further includes:

The second notification module is configured to notify the logistics order issuer of the time and the quantity of resources that will be provided to the logistics order receiving party receiving the current logistics order.

In conjunction with the fourth implementation manner of the second aspect, in an eighth implementation manner of the second aspect, the determining module is further configured to:

According to the preset resource management rules, the time and the quantity of resources are calculated for the current logistics order to provide resources to the logistics order recipient who has received the current logistics order.

With reference to the second aspect or any one of the first to third implementations of the second aspect, in a ninth implementation of the second aspect, the obtaining module is further configured to:

According to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information, a cancellation portrait of the logistics order issuer canceling the logistics order is acquired.

With reference to the third implementation manner of the second aspect, in a tenth implementation manner of the second aspect of the present disclosure, the second estimation module is further configured to:

Based on the real-time transport capacity information of the area where the current logistics order is generated, the order receiving time and the order receiving probability of the logistics order taker for taking the current logistics order are calculated.

With reference to the second aspect or any one of the first to third implementation manners of the second aspect, the present disclosure is in an eleventh implementation manner of the second aspect, the behavior related to canceling a logistics order The features include the data of the logistics order issuer related to the behavior of canceling the historical logistics order and the distribution difficulty data of the logistics order issued by the logistics order issuer.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including a memory and a processor; wherein,

The memory is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the first aspect, the first implementation manner to the eleventh aspect of the first aspect Implement the method described in any one of the manners.

In a fourth aspect, an embodiment of the present disclosure provides a readable storage medium on which computer instructions are stored, and when the computer instructions are executed by a processor, implement the first aspect, the first implementation manner of the first aspect to the fourth aspect. The method described in any one of eleven implementation manners.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

According to the technical solutions provided by the embodiments of the present disclosure, by acquiring the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information; Determining the appropriate resource provision method to provide resources to the logistics order taker will help to motivate the logistics order taker to shorten the order receiving time of the logistics order and increase the order receiving probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, by providing resources to the logistics order taker receiving the current logistics order according to the determined resource provision method, the logistics order taker can be motivated to shorten the order taking of the logistics order in a targeted manner. Time and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, determining the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information includes: based on the information of the current logistics order, the The behavior-related characteristics of the order and the real-time capacity information, estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer; The maximum waiting time for the logistics order issuer to wait for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information to determine the resource provision method, which can help determine the delivery method. The logistics order taker provides an appropriate resource provision method for resources, thereby helping to motivate the logistics order taker to shorten the order-taking time of the logistics order and increase the order-taking probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, determining the resource provision method according to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information includes: estimating the logistics order recipient based on the real-time transport capacity information The order receiving time and order probability of receiving the current logistics order; the resource is determined according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and the order probability of the logistics order receiving party receiving the current logistics order The provision method can help to determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to encourage the logistics order taker to shorten the order receiving time of the logistics order and improve the order receiving probability to ensure the progress of the logistics service. . Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, determining the resource provision method according to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information includes: waiting for the logistics order issuer to wait for the current logistics order to be received The maximum waiting time and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are matched with the order receiving time and the order receiving probability of the logistics order receiving party taking the current logistics order to calculate the The time and the quantity of resources that the current logistics order provides resources to the logistics order receiver that receives the current logistics order can help determine an appropriate resource providing method for providing resources to the logistics order receiver, thereby helping Incentivize logistics order takers to shorten the order receiving time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solution provided by the embodiment of the present disclosure, providing resources to the logistics order receiver who receives the current logistics order according to the determined resource providing method includes: at the calculated time, according to the calculated amount of resources to The logistics order taker that takes the current logistics order provides resources, thereby helping to motivate the logistics order taker to shorten the order taking time of the logistics order and increase the order taking probability to ensure the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solution provided by the embodiment of the present disclosure, by notifying the potential logistics order recipient of the current logistics order the time and the quantity of resources to be provided to the logistics order recipient of the current logistics order, there is a Helps to motivate logistics order takers to shorten the order-taking time of logistics orders and increase the probability of order-taking to ensure the delivery of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, by notifying the logistics order issuer of the time and the quantity of resources that will be provided to the logistics order taker that receives the current logistics order, it is helpful to encourage the issuance of logistics orders The party maintains or extends the maximum waiting time, increases the probability of receiving orders to ensure the progress of logistics services, and thus increases the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solution provided by the embodiment of the present disclosure, calculating the time and the quantity of resources for the current logistics order to provide resources to the logistics order recipient who receives the current logistics order includes: according to preset resource management rules, Calculating the time and quantity of resources for the current logistics order to provide resources to the logistics order taker who has received the current logistics order can help determine an appropriate resource provision method for providing resources to the logistics order taker, thereby helping Incentivize logistics order takers to shorten the order receiving time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, obtaining the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information includes: obtaining the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information The cancellation portrait of the logistics order sender canceling the logistics order can help to determine the appropriate resource provision method to provide resources to the logistics order receiver, thereby helping to motivate the logistics order receiver to shorten the order receiving time of the logistics order and improve the Probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, estimating the order-taking duration and order-taking probability of the logistics order taker to take the current logistics order based on the real-time transport capacity information includes: based on the area where the current logistics order is generated The real-time capacity information of the logistics order taker can calculate the order taking time and order taking probability of the logistics order taker to take the current logistics order, which can help to determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate The logistics order taker shortens the order receiving time of the logistics order and increases the probability of receiving the order to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

According to the technical solutions provided by the embodiments of the present disclosure, the feature related to the behavior of canceling a logistics order includes the data of the logistics order issuer related to the behavior of canceling a historical logistics order and the logistics order issuer’s logistics order. The distribution difficulty data of the order can help to accurately estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, and determine the appropriate resource provision method to provide resources to the logistics order acceptor who accepts the current logistics order. Therefore, it helps to motivate the logistics order taker to shorten the order receiving time of the logistics order and increase the probability of receiving the order to ensure the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

Other labels, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the attached image:

FIG. 1 shows a flowchart of a logistics service providing method according to an embodiment of the present disclosure;

2 shows a flowchart of a logistics service providing method according to another embodiment of the present disclosure;

FIG. 3 shows a flowchart of an example of step S102 in the logistics service providing method according to an embodiment of the present disclosure;

FIG. 4 shows a flowchart of another example of step S102 in the logistics service providing method according to an embodiment of the present disclosure;

5 shows a flowchart of a logistics service providing method according to yet another embodiment of the present disclosure;

6 shows a schematic flowchart of an application scenario of a logistics service providing method according to an embodiment of the present disclosure;

FIG. 7 shows a structural block diagram of a logistics service providing apparatus according to an embodiment of the present disclosure;

8 shows a structural block diagram of a logistics service providing apparatus according to another embodiment of the present disclosure;

FIG. 9 shows a structural block diagram of an example of a determination module 720 in a logistics service providing apparatus according to an embodiment of the present disclosure;

10 shows a structural block diagram of another example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure;

11 shows a structural block diagram of a logistics service providing apparatus according to yet another embodiment of the present disclosure;

FIG. 12 shows a structural block diagram of an electronic device according to an embodiment of the present disclosure;

FIG. 13 is a schematic structural diagram of a computer system suitable for implementing a logistics service providing method according to an embodiment of the present disclosure.

Detailed ways

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts unrelated to describing the exemplary embodiments are omitted from the drawings.

In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of labels, numbers, steps, acts, components, parts, or combinations thereof disclosed in this specification, and are not intended to exclude a or multiple other labels, numbers, steps, acts, parts, sections, or combinations thereof may exist or be added.

In addition, it should be noted that the embodiments in the present disclosure and the tags in the embodiments may be combined with each other under the condition of no conflict. The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

According to the technical solutions provided by the embodiments of the present disclosure, by acquiring the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information; The receiving party provides an appropriate resource provision method for resources, thereby helping to motivate the logistics order accepting party to shorten the order receiving time of the logistics order and increase the order receiving probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

FIG. 1 shows a flowchart of a logistics service providing method according to an embodiment of the present disclosure. As shown in FIG. 1, the logistics service providing method includes the following steps S110 and S120:

In step S110, the characteristics and real-time capacity information related to the behavior of canceling the logistics order are acquired.

In step S120, the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

In the present disclosure, the scope of logistics services may include intra-city express delivery and transportation, inter-province and city express delivery and transportation, and multinational express delivery and transportation.

In the present disclosure, after the seller of the commodity order selects the logistics service on the platform that provides the logistics service, a logistics order of the logistics service can be generated for the commodity order. It should be noted that, in the embodiments of the present disclosure, an order for goods or commodities sold by a seller to a buyer is referred to as a "commodity order". In the embodiment of the present disclosure, a "logistics order" refers to a logistics service order for a "commodity order".

In the present disclosure, the logistics order issuer (also referred to as the issuer for short) may be waiting for the logistics order taker (also referred to as the order taker) to receive the logistics order when issuing the logistics order (also referred to as the issuer). (It can also be referred to as order taking) The act of canceling the logistics order when the order taking time exceeds the expected order taking time. For example, after an O2O merchant places an order on a platform that provides logistics services, it is expected that the rider (or delivery person) will receive the order within 5 minutes, that is, the estimated maximum waiting time is 5 minutes, but the platform that provides logistics services estimates that the rider's order is received The duration may exceed 5 minutes, for example, up to 10 minutes. At this time, the O2O merchant may cancel the logistics order because the order receiving time exceeds the maximum waiting time. The cancellation of the logistics order by the logistics order issuer will lead to the loss of logistics orders from the platform that provides logistics services, and also affect the efficiency of the order issuer's execution of commodity orders.

In one embodiment of the present disclosure, the characteristics related to the behavior of canceling the logistics order include the data related to the behavior of canceling the historical logistics order of the logistics order issuer and the distribution difficulty data of the logistics order issued by the logistics order issuer. This helps to accurately estimate the maximum waiting time for the logistics order sender to wait for the current logistics order to be taken, and to determine the appropriate resource provision method to provide resources to the logistics order taker who takes the current logistics order, thereby helping to incentivize logistics The order taker shortens the order taking time of logistics orders and increases the probability of order taking to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the data related to the behavior of canceling the historical logistics order of the logistics order issuer may include: the logistics order issuer's willingness to cancel the logistics order, the maximum waiting time, the price sensitivity, the degree of price sensitivity, and the degree of price sensitivity under bad weather. Waiting time and other data. It should be noted that, in the embodiment of the present disclosure, "the data related to the behavior of canceling the historical logistics order of the logistics order issuer" is different from the "feature related to the behavior of the logistics order issuer to cancel the logistics order", and the former is related to the logistics order. The data describing the attributes of the logistics order issuer that is directly related to the order issuer itself and directly related to the cancellation of the logistics order; the latter includes data that is not directly related to the logistics order issuer, but is directly related to the order issuer’s behavior of canceling the logistics order data and information.

In an embodiment of the present disclosure, the distribution difficulty data of the logistics order issued by the logistics order issuer may include data such as the category, delivery distance, and delivery difficulty of the delivery point of the goods in the logistics order of the order issuer. In another embodiment, a comprehensive distribution difficulty data of the logistics order issued by the logistics order issuer can be calculated based on the data of the commodity category, delivery distance, and delivery difficulty of the delivery point in the logistics order of the logistics order issuer. It should be understood that the distribution difficulty data of the logistics order issued by the logistics order issuer may include the distribution difficulty data of the historical logistics orders issued by the logistics order issuer, and may also include the distribution difficulty data of the current logistics order issued by the logistics order issuer. There is no restriction on this. Those skilled in the art can understand that the distribution difficulty data of the logistics order issued by the logistics order issuer can be obtained and calculated by means in the related art, which will not be repeated in this disclosure.

In one embodiment of the present disclosure, the transportation capacity information includes: the area where the logistics order issuer is located or the area where the logistics order is generated (for example, a business district), the transportation capacity of competing products in the area, and whether the logistics order issuer uses competitive Product capacity and other data. In the embodiment of the present disclosure, the area refers to the geographical area where the logistics order issuer is located, and may refer to the service scope, commercial radiation scope, distribution scope, etc. of the logistics order issuer. In the embodiments of the present disclosure, the transport capacity refers to the transport capacity, and may also refer to the object that provides the transport capacity. In an embodiment of the present disclosure, the transportation capacity information may refer to information related to transportation capabilities and objects providing transportation capabilities. In the embodiment of the present disclosure, the competing product transport capacity refers to the transport capacity other than the transport capacity provided by the platform implementing the logistics service providing solution according to the embodiment of the present disclosure. It should be understood that the transport capacity information of the region where the logistics order issuer is located may include historical transport capacity information of the region where the logistics order issuer is located, and may also include real-time transport capacity information of the region where the logistics order issuer is located, which is not limited in this disclosure. Those skilled in the art can understand that the transportation capacity information of the area where the logistics order sender is located can be obtained and calculated by means in the related art, for example, obtained from the user portrait of the logistics order sender. This disclosure will not repeat this.

In one embodiment of the present disclosure, acquiring real-time transportation capacity information may refer to acquiring real-time transportation capacity information in an area where a logistics order is generated. Those skilled in the art can understand that since the capacity information in an area may change at any time, if logistics services are to be provided, it is necessary to obtain real-time capacity information.

In an embodiment of the present disclosure, step S110 includes: obtaining a cancellation portrait of the logistics order issuer canceling the logistics order according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information.

In related fields, user portraits, also known as user roles, are widely used in various fields as an effective tool for delineating target users and connecting user demands and design directions. User portraits have been widely used in the Internet field. In the era of big data, user information is flooded in the network. Each specific information of users is abstracted into tags, and these tags are used to form user portraits, so as to provide users with targeted services. .

In the embodiment of the present disclosure, the cancellation portrait of the logistics order issuer for canceling the logistics order refers to an aspect of the user portrait of the logistics order issuer, that is, using the information contained in the user portrait of the logistics order issuer to cancel the logistics order A portrait of behavior-related tags. In the embodiment of the present disclosure, the subject described in the cancellation portrait of the logistics order issuer canceling the logistics order is "the behavior of the logistics order issuer canceling the logistics order".

According to the technical solutions provided by the embodiments of the present disclosure, it is possible to obtain the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information, including: obtaining the logistics order issuer canceling the logistics according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information The order cancellation portrait can help determine the appropriate resource provision method to provide resources to the logistics order receiver, thereby helping to motivate the logistics order receiver to shorten the order receiving time of the logistics order and increase the order acceptance probability to ensure the logistics service. conduct. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

Those skilled in the art can understand that the user portrait and cancellation portrait of the sender of the logistics order can be obtained by means in the related art, which will not be repeated in this disclosure.

The following describes a logistics service providing method according to another embodiment of the present disclosure with reference to FIG. 2 .

FIG. 2 shows a flowchart of a logistics service providing method according to another embodiment of the present disclosure. The difference between the logistics service providing method in the embodiment shown in FIG. 2 and the logistics service providing method in the embodiment shown in FIG. 1 is that the following step S210 is further included.

In step S210, resources are provided to the logistics order taker that accepts the current logistics order according to the determined resource providing method.

According to the technical solutions provided by the embodiments of the present disclosure, by providing resources to the logistics order taker receiving the current logistics order according to the determined resource provision method, the logistics order taker can be motivated to shorten the order taking of the logistics order in a targeted manner. Time and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the resource providing method refers to a method of providing resources to the logistics order recipient of the current logistics order. For example, in the scenario of O2O local delivery, this resource provision method can refer to the amount and strategy of tipping the delivery staff (logistics order recipient) to encourage delivery staff to take current logistics orders as soon as possible, while avoiding merchants (The sender of the logistics order) Cancels the current order.

An example of step S102 in the logistics service providing method according to an embodiment of the present disclosure is described below with reference to FIG. 3 .

FIG. 3 shows a flowchart of an example of step S102 in the logistics service providing method according to an embodiment of the present disclosure. As shown in FIG. 3, step S120 includes the following steps S310 and S320:

In step S310, the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are estimated based on the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

In step S320, the resource provision method is determined according to the maximum waiting time of the logistics order issuer waiting for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and real-time transport capacity information.

According to the technical solutions provided by the embodiments of the present disclosure, the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information, including: estimating the logistics order based on the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information The maximum waiting time of the sender waiting for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order sender; according to the maximum waiting time of the logistics order sender waiting for the current logistics order to be accepted and the current logistics order being cancelled by the logistics order The cancellation probability of the sender's cancellation and the real-time capacity information to determine the resource provision method can help to determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker to shorten the delivery time of the logistics order. Order time and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the maximum waiting time for the logistics order issuer to wait for the current logistics order to be picked up is an estimated waiting time based on a feature related to the logistics order issuer's behavior of canceling the logistics order, and does not refer to the logistics order The actual maximum waiting time of the order sender for the current logistics order. Estimating the maximum waiting time helps to determine the resource provision method for providing resources to the logistics order taker who takes the current logistics order.

In one embodiment of the present disclosure, after the logistics order issuer places the logistics order, the calculation can be performed according to the specific information of the current logistics order (or the portrait of the logistics order) and the real-time capacity information of the area where the current logistics order is placed. The estimated wait time for the current logistics order. Then, according to the estimated waiting time and the cancellation portrait of the logistics order issuer's cancellation of the logistics order, the maximum waiting time of the logistics order issuer for the current logistics order and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are calculated.

An example of step S102 in the logistics service providing method according to an embodiment of the present disclosure is described below with reference to FIG. 4 .

FIG. 4 shows a flowchart of an example of step S102 in the logistics service providing method according to an embodiment of the present disclosure. As shown in FIG. 4, step S120 includes the following steps S410 and S420:

In step S410, based on the real-time transport capacity information, the order receiving time and the order receiving probability of the logistics order taker to take the current logistics order are estimated.

In step S420, the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and order receiving probability of the logistics order receiving party receiving the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, determining the resource provision method according to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information includes: estimating the logistics order recipient based on the real-time transport capacity information The order receiving time and order probability of receiving the current logistics order; the resource is determined according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and the order probability of the logistics order receiving party receiving the current logistics order The provision method can help to determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to encourage the logistics order taker to shorten the order receiving time of the logistics order and improve the order receiving probability to ensure the progress of the logistics service. . Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the order taking time and order taking probability of the logistics order taker to take the current logistics order can be estimated based on real-time transport capacity information by technical means in the related art.

In an embodiment of the present disclosure, step S410 includes: calculating, based on the real-time capacity information of the region where the current logistics order is generated, the order receiving duration and order taking probability for the logistics order taker to take the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, by estimating the order receiving time and order taking probability of the logistics order taker to take the current logistics order based on the real-time transportation capacity information, the method includes: calculating the logistics based on the real-time transportation capacity information of the area where the current logistics order is generated. The order taking time and order probability of the order taker to take the current logistics order can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker to shorten the logistics order Increase the order acceptance time and increase the order acceptance probability to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

The following describes a flowchart of a logistics service providing method according to still another embodiment of the present disclosure with reference to FIG. 5 .

FIG. 5 shows a flowchart of a logistics service providing method according to yet another embodiment of the present disclosure. The difference between the logistics service providing method in the embodiment shown in FIG. 5 and the logistics service providing method in the embodiment shown in FIG. 1 is that step S120 includes step S510, and the method further includes steps S520 and S530.

In step S510, the maximum waiting time for the logistics order issuer to wait for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the order receiving time for the logistics order recipient to receive the current logistics order sum The order receiving probability is matched to calculate the time and the quantity of resources for the current logistics order to provide resources to the logistics order receiver who has received the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, the resource provision method is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information, including: the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the current The cancellation probability of the logistics order being cancelled by the logistics order issuer is matched with the order receiving time and order acceptance probability of the logistics order receiver to receive the current logistics order, so as to calculate the current logistics order to the logistics order receiving the current logistics order. The time and quantity of resources provided by the party can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker to shorten the order receiving time of the logistics order and increase the probability of order taking. In order to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In the present disclosure, the resource provision manner may be determined in various manners. In one embodiment of the present disclosure, the resource provision manner may be determined only with reference to the embodiment shown in FIG. 3 . In an embodiment of the present disclosure, the resource provision manner may be determined only with reference to the embodiment shown in FIG. 4 . In one embodiment of the present disclosure, the implementation manner shown in FIG. 3 may be combined with the implementation manner shown in FIG. 4 to determine the resource provision manner.

In an embodiment of the present disclosure, the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being canceled by the logistics order issuer, and the logistics order receiver for taking the current logistics order can be compared. Match (calculate or compare) the order receiving time and the order receiving probability to determine whether the order receiving probability and order receiving time of the logistics order taker for the current order can meet the maximum waiting time requirement of the logistics order issuer, and then determine the resources. Provides a way to incentivize the logistics order taker to take the current logistics order before the logistics order sender's maximum waiting time is reached.

In some cases, the change of the probability of receiving orders for the current order and the time of receiving orders are contradictory. When the probability of receiving orders is high, the time of receiving orders will be longer; time will be shorter. According to the relevant technologies in the field, the optimal solution for the probability of receiving orders and the duration of receiving orders can be provided. For example, the duration of receiving orders can be determined when the probability of receiving orders is the largest, or the receiving probability can be determined when the probability of receiving orders is not less than 60%. Single duration, etc.

In some cases, similar to the contradictory changes in the order acceptance probability and order acceptance time provided by the logistics order receiver, the maximum waiting time and cancellation probability of the logistics order issuer for the current logistics order are also contradictory. The phenomenon. It can be understood that the longer the maximum waiting time of the logistics order sender, the more time it is willing to spend on the logistics order, and the lower the probability of canceling the current logistics order.

In an embodiment of the present disclosure, the resource provision method may include the time and the quantity of resources for providing resources to the logistics order recipient who receives the current logistics order for the current logistics order.

For example, after an O2O merchant places an order on a platform that provides logistics services, it is expected that the rider (or delivery person) will receive the order within 5 minutes, that is, the estimated maximum waiting time is 5 minutes, but the platform that provides logistics services estimates the rider's probability of accepting the order In the case of 80%, the order taking time is 10 minutes. At this time, the O2O merchant may cancel the logistics order because the rider's time for receiving the order exceeds the maximum waiting time. In this case, resources (for example, tips, points, praise, etc.) can be provided to the rider through some kind of resource provision, so as to motivate the rider to shorten the time for receiving orders. For example, when the current logistics order has not been received by a rider in the past 1 minute, a tip of RMB 2 can be provided to the rider who accepts the order at this time to motivate the rider to take the current logistics order as soon as possible. For another example, when the current logistics order has not been accepted by a rider in the past 2 minutes, a tip of RMB 4 and 10 points can be provided to the rider who accepts the order to motivate the rider to take the current logistics order as soon as possible. Multiple riders (potential logistics order takers) in the business district where O2O merchants are located receive a notification that a tip of 2 yuan has been added when the current logistics order appears for 1 minute, and may hesitate to accept the order, but the current logistics order When these riders receive a notification that they have added a tip of RMB 4 and 10 points in 2 minutes, they may not hesitate to take the current logistics order immediately to receive a tip of RMB 4 and 10 points. In this example, the resource provision method is to increase the resources provided to the logistics order taker at regular intervals after the current logistics order appears, so as to motivate the logistics order taker to take the current logistics order as soon as possible.

In the first embodiment of the present disclosure, when determining the resource provision method, it is necessary to maximize the incentive effect of as few resources as possible. Therefore, it is necessary to control the time when resources are provided and the upper limit of the provided resources. Moreover, different resource provision methods (resource provision strategies) can be configured according to competing products in different regions (business circles) where the logistics order issuer is located to ensure the effect of applying the logistics service provision scheme according to the embodiment of the present disclosure.

In an embodiment of the present disclosure, the resource provision method may define the relationship between the time point and the quantity of the resource provision to the logistics order taker. In one embodiment, the resource provision method may limit the optimal time point and optimal quantity for providing resources to the logistics order taker. Therefore, it is possible to determine an appropriate resource provision method for providing resources to the logistics order taker who takes the current logistics order, thereby helping to motivate the logistics order taker to shorten the order taking time of the logistics order and increase the order taking probability to ensure the logistics service. conduct. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, step S210 in the embodiment shown in FIG. 2 includes: at the calculated time, providing resources to the logistics order receiver who accepts the current logistics order according to the calculated amount of resources.

According to the technical solutions provided by the embodiments of the present disclosure, providing resources to the logistics order receiver who receives the current logistics order according to the determined resource providing method, includes: at the calculated time, according to the calculated amount of resources to the receiving party The logistics order taker of the current logistics order provides resources, which helps to motivate the logistics order taker to shorten the order taking time of the logistics order and increase the order taking probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

For example, in the scenario of O2O local delivery, the optimal time point and optimal number of tips to provide tips to the delivery staff who receive the current logistics order can be calculated according to the resource provision method, so that at this optimal time point, according to the calculated optimal tip Amounts tip the courier to incentivize the courier to take the order as quickly as possible.

In step S520, the potential logistics order taker of the current logistics order is notified of the time and the quantity of resources that will be provided to the logistics order taker of the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, by notifying the potential logistics order taker of the current logistics order the time and quantity of resources that will be provided to the logistics order taker taking the current logistics order, thereby helping to motivate logistics The order taker shortens the order taking time of logistics orders and increases the probability of order taking to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In step S530, the issuer of the logistics order is notified of the time and the quantity of resources that will be provided to the logistics order receiving party receiving the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, by notifying the logistics order issuer of the time and quantity of resources that will be provided to the logistics order taker who takes the current logistics order, it helps to motivate the logistics order issuer to maintain or extend the The maximum waiting time increases the probability of receiving orders to ensure the progress of logistics services, thereby improving the customer viscosity of the logistics order issuer to the logistics service provider platform.

Those skilled in the art can understand that although step S520 and step S530 are shown in FIG. 5 at the same time, the logistics service providing method according to the embodiment of the present disclosure may only include one of steps S520 and S530.

In an embodiment of the present disclosure, step S510 includes: according to a preset resource management rule, calculating the time and the quantity of resources for the current logistics order to provide resources to the logistics order recipient who receives the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, calculating the time and the quantity of resources for the current logistics order to provide resources to the logistics order recipient receiving the current logistics order includes: calculating the current logistics order according to preset resource management rules. The time and amount of resources that the order provides resources to the logistics order taker who takes the current logistics order, which can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate the logistics order taker Shorten the order time of logistics orders and increase the probability of order acceptance to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, since the resources to be provided may be borne by the platform, it is necessary to maximize the incentive effect of the resources and control the time and quantity of resources to be provided, so it is necessary to configure different resource management rules according to different situations. (or resource provision strategy) to ensure the effect of providing resources.

In an embodiment of the present disclosure, step S410 shown in FIG. 4 includes: calculating, based on the real-time capacity information of the region where the current logistics order is generated, the order receiving duration and the order receiving probability of the logistics order taker taking the current logistics order .

In the embodiments according to the present disclosure, the embodiments described in FIGS. 1 to 5 may be combined to achieve corresponding technical effects.

FIG. 6 shows a schematic flowchart of an application scenario of a logistics service providing method according to an embodiment of the present disclosure. Figure 6 shows a scenario in which a merchant calls a logistics service on a platform that provides logistics services.

As shown in Figure 6, the merchant issues the current logistics service order on the platform that provides the logistics service, and calls the logistics service. At this time, the merchant waits for the rider to take the order for the current logistics service order. In addition, the platform providing logistics services obtains the merchant's probability of canceling the current logistics order and the maximum waiting time for the rider to take the order according to the model of the merchant's cancellation of the order. On the other hand, platforms that provide logistics services estimate the probability and duration of orders for current logistics orders based on real-time capacity information. Next, match the merchant's probability of canceling the current logistics order and the maximum waiting time for waiting for riders to accept the order with the transport capacity to match the probability and duration of the current logistics order to determine the capacity to accept the current logistics order Provides the resource provision method for consumption, that is, the time point and amount of tip provided. Notify potential riders of the determined time point and amount of tips to stimulate potential riders to take orders. After a rider among the potential riders actually takes the order, the delivery begins.

It should be noted that the relevant description in this application scenario is only used as an example to introduce the implementation of the present disclosure, and does not necessarily include all the contents of the solutions to be protected by the present disclosure.

FIG. 7 shows a structural block diagram of a logistics service providing apparatus according to an embodiment of the present disclosure.

As shown in FIG. 7 , the logistics service providing apparatus 700 includes an acquisition module 710 and a determination module 720 .

The acquisition module 710 is configured to acquire characteristics related to the behavior of canceling the logistics order and real-time capacity information.

The determining module 720 is configured to determine the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

According to the technical solutions provided by the embodiments of the present disclosure, the acquisition module is configured to acquire the characteristics related to the behavior of canceling the logistics order and real-time capacity information; the determination module is configured to acquire the characteristics related to the behavior of canceling the logistics order and the real-time information The capacity information determines the resource provision method, which can determine the appropriate resource provision method to provide resources to the logistics order receiver, thereby helping to motivate the logistics order receiver to shorten the order receiving time of the logistics order and increase the order acceptance probability to ensure the logistics service. conduct. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

The following describes a logistics service providing apparatus according to another embodiment of the present disclosure with reference to FIG. 8 .

FIG. 8 shows a structural block diagram of a logistics service providing apparatus according to another embodiment of the present disclosure. The difference between the logistics service providing apparatus 800 in the embodiment shown in FIG. 8 and the logistics service providing apparatus 700 in the embodiment shown in FIG. 7 is that it further includes the following providing module 810 .

The providing module 810 is configured to provide resources to the logistics order taker who takes the current logistics order according to the determined resource providing manner.

According to the technical solutions provided by the embodiments of the present disclosure, the provision module is configured to provide resources to the logistics order taker receiving the current logistics order according to the determined resource provision method, so that the logistics order taker can be motivated in a targeted manner Shorten the order time of logistics orders and increase the probability of order acceptance to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

An example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure is described below with reference to FIG. 9 .

FIG. 9 shows a structural block diagram of an example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure. As shown in FIG. 9 , the determination module 720 includes the following first estimation sub-module 910 and first determination sub-module 920 .

The first estimation sub-module 910 is configured to estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be picked up and the current logistics order based on the information of the current logistics order, the characteristics related to the behavior of canceling the logistics order, and the real-time capacity information The probability of cancellation by the sender of the logistics order.

The first determination sub-module 920 is configured to determine the resource provision method according to the maximum waiting time of the logistics order issuer waiting for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and real-time capacity information.

According to the technical solutions provided by the embodiments of the present disclosure, the determining module includes: a first estimation sub-module, configured to estimate the logistics order sender based on the information of the current logistics order, the characteristics related to the behavior of canceling the logistics order, and the real-time transport capacity information. The maximum waiting time for the current logistics order to be received and the cancellation probability of the current logistics order being cancelled by the logistics order issuer; the first determination sub-module is configured to be based on the maximum waiting time for the logistics order issuer to wait for the current logistics order to be received. and the cancellation probability of the current logistics order being cancelled by the logistics order issuer, as well as the real-time capacity information to determine the resource provision method, which can help determine the appropriate resource provision method to provide resources to the logistics order recipient, thereby helping to motivate the logistics order recipient. The taker shortens the order-taking time of logistics orders and increases the probability of order-taking to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

Another example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure will be described below with reference to FIG. 10 .

FIG. 10 shows a structural block diagram of another example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure. As shown in FIG. 10 , the determination module 720 includes the following second estimation sub-module 1010 and second determination sub-module 1020 .

The second estimation sub-module 1010 is configured to estimate, based on the real-time capacity information, the order receiving time and the order receiving probability for the logistics order taker to take the current logistics order.

The second determining sub-module 1020 is configured to determine the resource providing method according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and order taking probability of the logistics order taker to take the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, the determining module includes: a second estimation sub-module configured to estimate the order receiving time and order taking probability of the logistics order taker to take the current logistics order based on the real-time transport capacity information; the second The determining sub-module is configured to determine the resource provision method according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and the probability of receiving the current logistics order by the logistics order receiver, which can help to determine the logistics order. The receiving party provides an appropriate resource provision method for resources, thereby helping to motivate the logistics order accepting party to shorten the order receiving time of the logistics order and increase the order receiving probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the determination module 720 described in the foregoing embodiment is further configured to: determine the maximum waiting time for the logistics order issuer to wait for the current logistics order to be received and the current logistics order canceled by the logistics order issuer. The cancellation probability is matched with the order acceptance duration and order acceptance probability of the logistics order taker to take the current logistics order, so as to calculate the time and resource quantity for the current logistics order to provide resources to the logistics order taker that takes the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, the determination module is further configured to: determine the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the logistics Matching the order taking time and order probability of the order taker to take the current logistics order to calculate the time and resource quantity for the current logistics order to provide resources to the logistics order taker that takes the current logistics order, which can help Determining the appropriate resource provision method to provide resources to the logistics order taker will help to motivate the logistics order taker to shorten the order receiving time of the logistics order and increase the order receiving probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the providing module 810 in the embodiment shown in FIG. 2 is further configured to: at the calculated time, according to the calculated quantity of resources, to the logistics order receiving party receiving the current logistics order Provide resources.

According to the technical solutions provided by the embodiments of the present disclosure, the providing module is further configured to: at the calculated time, according to the calculated quantity of resources, provide resources to the logistics order taker who takes the current logistics order, thereby helping the logistics order taker. Incentivize logistics order takers to shorten the order receiving time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

Referring to FIG. 11 , a structural block diagram of a logistics service providing apparatus according to still another embodiment of the present disclosure will be described below.

FIG. 11 shows a structural block diagram of a logistics service providing apparatus according to still another embodiment of the present disclosure. The difference between the logistics service providing apparatus 1100 in the embodiment shown in FIG. 11 and the logistics service providing apparatus 700 in the embodiment shown in FIG. 7 is that it further includes a first notification module 1110 and a second notification module 1120 .

The first notification module 1110 is configured to notify the potential logistics order taker of the current logistics order the time and the quantity of the resource to be provided to the logistics order taker of the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, through the first notification module, the first notification module is configured to notify the potential logistics order recipient of the current logistics order of the time and resources when resources will be provided to the logistics order recipient of the current logistics order Quantity, thereby helping to motivate logistics order takers to shorten the order-taking time of logistics orders and increase the probability of order-taking to ensure the delivery of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

The second notification module 1120 is configured to notify the logistics order issuer of the time and the quantity of resources to be provided to the logistics order taker who takes the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, the second notification module is configured to notify the logistics order issuer of the time and the amount of resources that will be provided to the logistics order receiver who receives the current logistics order, thereby helping the logistics order receiver. Incentivize the issuer of logistics orders to maintain or extend the maximum waiting time, increase the probability of receiving orders to ensure the progress of logistics services, and thus increase the customer viscosity of the issuer of logistics orders to the logistics service provider platform.

Those skilled in the art can understand that although the first notification module 1110 and the second notification module 1120 are shown in FIG. 11 at the same time, the logistics service providing apparatus according to the embodiment of the present disclosure may only include the first notification module and the second notification module One of the notification modules.

In one embodiment of the present disclosure, the determination module 720 described in the foregoing embodiments is further configured to: according to preset resource management rules, calculate the resources to be provided to the logistics order recipient who receives the current logistics order for the current logistics order time and resources.

According to the technical solutions provided by the embodiments of the present disclosure, the determination module is further configured to: according to preset resource management rules, calculate the time and resources for providing resources for the current logistics order to the logistics order recipient who receives the current logistics order The quantity can help determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to encourage the logistics order taker to shorten the order receiving time of the logistics order and increase the probability of order taking to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the obtaining module 710 described in the foregoing embodiments is further configured to obtain a cancellation portrait of the logistics order issuer canceling the logistics order according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

According to the technical solutions provided by the embodiments of the present disclosure, the obtaining module is further configured to: obtain the cancellation portrait of the sender of the logistics order canceling the logistics order according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information, which can help to determine An appropriate resource provision method that provides resources to the logistics order taker will help to motivate the logistics order taker to shorten the order taking time of the logistics order and increase the probability of order taking to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the second estimating module 1010 described in the foregoing embodiment is further configured to: calculate the order taking of the current logistics order by the logistics order taker based on the real-time transport capacity information of the area where the current logistics order is generated Duration and order probability.

According to the technical solutions provided by the embodiments of the present disclosure, the second estimation module is further configured to: calculate the order receiving time and order receiving time of the logistics order taker to take the current logistics order based on the real-time transport capacity information of the area where the current logistics order is generated The probability can help to determine the appropriate resource provision method to provide resources to the logistics order receiver, thereby helping to encourage the logistics order receiver to shorten the order receiving time of the logistics order and increase the order probability to ensure the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the characteristics related to the behavior of canceling the logistics order include the data related to the behavior of canceling the historical logistics order of the logistics order issuer and the distribution difficulty data of the logistics order issued by the logistics order issuer.

According to the technical solutions provided by the embodiments of the present disclosure, the characteristics related to the behavior of canceling the logistics order include the data related to the behavior of canceling the historical logistics order of the logistics order issuer and the distribution difficulty data of the logistics order issued by the logistics order issuer, It can help to accurately estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, and determine the appropriate resource provision method to provide resources to the logistics order acceptor who accepts the current logistics order, thereby helping to motivate logistics. The order taker shortens the order taking time of logistics orders and increases the probability of order taking to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In embodiments according to the present disclosure, the embodiments shown in FIGS. 7 to 11 may be combined with the embodiments described in FIGS. 1 to 6 to realize the corresponding implementations of the embodiments described with reference to FIGS. 1 to 6 . technical effect.

The internal function and structure of the logistics service providing device are described above. In a possible design, the structure of the logistics service providing device can be implemented as a logistics service providing device. As shown in FIG. 12 , the electronic device 1200 may include a processor 1201 and memory 1202.

The memory 1202 is used to store a program that supports the logistics service providing apparatus to execute the logistics service providing method in any of the above embodiments, and the processor 1201 is configured to execute the program stored in the memory 1202 .

The memory 1202 is used to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor 1201 to implement the following steps:

Obtain characteristics and real-time capacity information related to the behavior of canceling logistics orders;

The resource provision mode is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

According to the technical solutions provided by the embodiments of the present disclosure, by acquiring the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information; Determining the appropriate resource provision method to provide resources to the logistics order taker will help to motivate the logistics order taker to shorten the order receiving time of the logistics order and increase the order receiving probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the one or more computer instructions are further executed by the processor 1201 to implement the following steps:

Provide resources to the logistics order taker who takes the current logistics order according to the determined resource providing method.

According to the technical solutions provided by the embodiments of the present disclosure, by providing resources to the logistics order taker receiving the current logistics order according to the determined resource provision method, the logistics order taker can be motivated to shorten the order taking of the logistics order in a targeted manner. Time and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the determining of the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes:

Based on the information of the current logistics order, the characteristics related to the behavior of canceling the logistics order, and the real-time capacity information, estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the current logistics order to be the cancellation probability of the said logistics order issuer;

The resource provision method is determined according to the maximum waiting time for the logistics order issuer to wait for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time transport capacity information.

According to the technical solutions provided by the embodiments of the present disclosure, determining the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information includes: based on the information of the current logistics order, the The behavior-related characteristics of the order and the real-time capacity information, estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted and the cancellation probability of the current logistics order being cancelled by the logistics order issuer; The maximum waiting time for the logistics order issuer to wait for the current logistics order to be received, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the real-time capacity information to determine the resource provision method, which can help determine the delivery method. The logistics order taker provides an appropriate resource provision method for resources, thereby helping to motivate the logistics order taker to shorten the order-taking time of the logistics order and increase the order-taking probability to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the determining of the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes:

Estimating, based on the real-time transport capacity information, the order-receiving time and order-receiving probability of the logistics order taker taking the current logistics order;

The resource provision mode is determined according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and the order receiving probability of the logistics order receiving party receiving the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, determining the resource provision method according to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information includes: estimating the logistics order recipient based on the real-time transport capacity information The order receiving time and order probability of receiving the current logistics order; the resource is determined according to the characteristics related to the behavior of canceling the logistics order, and the order receiving time and the order probability of the logistics order receiving party receiving the current logistics order The provision method can help to determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to encourage the logistics order taker to shorten the order receiving time of the logistics order and improve the order receiving probability to ensure the progress of the logistics service. . Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the determining of the resource provision method according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes:

The maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, the cancellation probability of the current logistics order being cancelled by the logistics order issuer, and the acceptance of the logistics order receiver to accept the current logistics order. The order duration and the order acceptance probability are matched to calculate the time and the quantity of resources for the current logistics order to provide resources to the logistics order taker that accepts the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, determining the resource provision method according to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information includes: waiting for the logistics order issuer to wait for the current logistics order to be received The maximum waiting time and the cancellation probability of the current logistics order being cancelled by the logistics order issuer are matched with the order receiving time and the order receiving probability of the logistics order receiving party taking the current logistics order to calculate the The time and the quantity of resources that the current logistics order provides resources to the logistics order receiver that receives the current logistics order can help determine an appropriate resource providing method for providing resources to the logistics order receiver, thereby helping Incentivize logistics order takers to shorten the order receiving time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the provision of resources to the logistics order taker receiving the current logistics order according to the determined resource provision method includes:

At the calculated time, resources are provided to the logistics order taker that accepts the current logistics order according to the calculated amount of resources.

According to the technical solution provided by the embodiment of the present disclosure, providing resources to the logistics order receiver who receives the current logistics order according to the determined resource providing method includes: at the calculated time, according to the calculated amount of resources to The logistics order taker that takes the current logistics order provides resources, thereby helping to motivate the logistics order taker to shorten the order taking time of the logistics order and increase the order taking probability to ensure the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the one or more computer instructions are further executed by the processor 1201 to implement the following steps:

The potential logistics order taker of the current logistics order is notified of the time and the quantity of the resource to be provided to the logistics order taker of the current logistics order.

According to the technical solution provided by the embodiment of the present disclosure, by notifying the potential logistics order recipient of the current logistics order the time and the quantity of resources to be provided to the logistics order recipient of the current logistics order, there is a Helps to motivate logistics order takers to shorten the order-taking time of logistics orders and increase the probability of order-taking to ensure the delivery of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the one or more computer instructions are further executed by the processor 1201 to implement the following steps:

The logistics order issuer is notified of the time and the amount of resources that will be provided to the logistics order taker that takes the current logistics order.

According to the technical solutions provided by the embodiments of the present disclosure, by notifying the logistics order issuer of the time and the quantity of resources that will be provided to the logistics order taker that receives the current logistics order, it is helpful to encourage the issuance of logistics orders The party maintains or extends the maximum waiting time, increases the probability of receiving orders to ensure the progress of logistics services, and thus increases the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the calculating the time and the quantity of resources for the current logistics order to provide resources to the logistics order recipient who has received the current logistics order includes:

According to the preset resource management rules, the time and the quantity of resources are calculated for the current logistics order to provide resources to the logistics order recipient who has received the current logistics order.

According to the technical solution provided by the embodiment of the present disclosure, calculating the time and the quantity of resources for the current logistics order to provide resources to the logistics order recipient who receives the current logistics order includes: according to preset resource management rules, Calculating the time and quantity of resources for the current logistics order to provide resources to the logistics order taker who has received the current logistics order can help determine an appropriate resource provision method for providing resources to the logistics order taker, thereby helping Incentivize logistics order takers to shorten the order receiving time of logistics orders and increase the probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the acquiring the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes:

According to the feature related to the behavior of canceling the logistics order and the real-time transport capacity information, a cancellation portrait of the logistics order issuer canceling the logistics order is acquired.

According to the technical solutions provided by the embodiments of the present disclosure, obtaining the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information includes: obtaining the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information The cancellation portrait of the logistics order sender canceling the logistics order can help to determine the appropriate resource provision method to provide resources to the logistics order receiver, thereby helping to motivate the logistics order receiver to shorten the order receiving time of the logistics order and improve the Probability of receiving orders to ensure the progress of logistics services. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In an embodiment of the present disclosure, the estimating the order receiving time and order taking probability of the logistics order taker to take the current logistics order based on the real-time transport capacity information includes:

Based on the real-time transport capacity information of the area where the current logistics order is generated, the order receiving time and the order receiving probability of the logistics order taker for taking the current logistics order are calculated.

According to the technical solutions provided by the embodiments of the present disclosure, estimating the order-taking duration and order-taking probability of the logistics order taker to take the current logistics order based on the real-time transport capacity information includes: based on the area where the current logistics order is generated The real-time capacity information of the logistics order taker can calculate the order taking time and order taking probability of the logistics order taker to take the current logistics order, which can help to determine the appropriate resource provision method to provide resources to the logistics order taker, thereby helping to motivate The logistics order taker shortens the order receiving time of the logistics order and increases the probability of receiving the order to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

In one embodiment of the present disclosure, the feature related to the behavior of canceling the logistics order includes the data of the logistics order issuer related to the behavior of canceling the historical logistics order and the data of the logistics order issued by the logistics order issuer. Delivery difficulty data.

According to the technical solutions provided by the embodiments of the present disclosure, the feature related to the behavior of canceling a logistics order includes the data of the logistics order issuer related to the behavior of canceling a historical logistics order and the logistics order issuer’s logistics order. The distribution difficulty data of the order can help to accurately estimate the maximum waiting time for the logistics order issuer to wait for the current logistics order to be accepted, and determine the appropriate resource provision method to provide resources to the logistics order acceptor who accepts the current logistics order. Therefore, it helps to motivate the logistics order taker to shorten the order receiving time of the logistics order and increase the probability of receiving the order to ensure the progress of the logistics service. Shortening the order receiving time can also improve the service efficiency of the order issuer, improve the efficiency of logistics services, and increase the customer viscosity of the logistics order issuer to the logistics service provider platform.

The processor 1201 is configured to execute all or part of the foregoing method steps.

Wherein, the structure of the logistics service providing device may further include a communication interface, which is used for the logistics service providing device to communicate with other devices or a communication network.

Exemplary embodiments of the present disclosure further provide a computer storage medium for storing computer software instructions used by the logistics service providing apparatus, which includes a program for executing the logistics service providing method in any of the above embodiments, So as to have the technical effect brought by the method.

FIG. 13 is a schematic structural diagram of a computer system suitable for implementing a logistics service providing method according to an embodiment of the present disclosure.

As shown in FIG. 13, a computer system 1300 includes a central processing unit (CPU) 1301, which can be loaded into a random access memory (RAM) 1303 according to a program stored in a read only memory (ROM) 1302 or a program from a storage section 1308 Instead, various processes in the above-described embodiment shown in FIG. 1 are executed. In the RAM 1303, various programs and data necessary for the operation of the system 1300 are also stored. The CPU 1301 , the ROM 1302 , and the RAM 1303 are connected to each other through a bus 1304 . An input/output (I/O) interface 1305 is also connected to bus 1304 .

The following components are connected to the I/O interface 1305: an input section 1306 including a keyboard, a mouse, etc.; an output section 1307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1308 including a hard disk, etc. ; and a communication section 1309 including a network interface card such as a LAN card, a modem, and the like. The communication section 1309 performs communication processing via a network such as the Internet. Drivers 1310 are also connected to I/O interface 1305 as needed. A removable medium 1311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 1310 as needed so that a computer program read therefrom is installed into the storage section 1308 as needed.

In particular, according to an embodiment of the present disclosure, the method described above with reference to FIG. 1 may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a readable medium thereof, the computer program containing program code for executing the data processing method of FIG. 1 . In such an embodiment, the computer program may be downloaded and installed from the network via the communication portion 1309, and/or installed from the removable medium 1311.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the diagram or block diagram may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function. executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The units or modules involved in the embodiments of the present disclosure can be implemented in software or hardware. The described units or modules may also be provided in the processor, and the names of these units or modules do not constitute a limitation on the units or modules themselves in certain circumstances.

As another aspect, the present disclosure also provides a computer-readable storage medium, and the computer-readable storage medium may be a computer-readable storage medium included in the apparatus described in the foregoing embodiments; A computer-readable storage medium that fits into a device. The computer-readable storage medium stores one or more programs, and the programs are used by one or more processors to execute the method described in the present disclosure, so as to have the technical effect brought by the method.

The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, and should also cover the above-mentioned technical features without departing from the inventive concept. Other technical solutions formed by any combination of its equivalent features. For example, a technical solution is formed by replacing the above features with the technical features disclosed in the present disclosure (but not limited to) with similar functions.

Claims (10)

1. A logistics service providing method, comprising:

acquiring characteristics related to the behavior of canceling the logistics order and real-time transport capacity information;

and determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information.

2. The method of claim 1, further comprising:

and providing resources for the logistics order taker taking the current logistics order according to the determined resource providing mode.

3. The method of claim 1, wherein determining resource provisioning based on the characteristics related to the act of canceling the logistics order and the real-time capacity information comprises:

estimating the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be accessed and the cancellation probability of the current logistics order to be cancelled by the logistics order issuing party based on the information of the current logistics order, the characteristics related to the behavior of cancelling the logistics order and the real-time transportation capacity information;

and determining a resource providing mode according to the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be taken, the cancellation probability of the current logistics order cancelled by the logistics order issuing party and the real-time transport capacity information.

4. The method of claim 1, wherein determining resource provisioning based on the characteristics related to the act of canceling the logistics order and the real-time capacity information comprises:

estimating order receiving duration and order receiving probability of a logistics order receiving party for receiving a current logistics order based on the real-time transport capacity information;

and determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order, and the order receiving duration and the order receiving probability of the logistics order receiver for receiving the current logistics order.

5. The method according to any one of claims 1 to 4, wherein the determining a resource providing manner according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information comprises:

matching the maximum waiting time for the logistics order sending party to wait for the current logistics order to be taken and the cancellation probability of the current logistics order cancelled by the logistics order sending party with the order taking time and the order taking probability of the logistics order taking party to take the current logistics order so as to calculate the time and the quantity of resources for the logistics order taking party to take the current logistics order.

6. The method according to claim 5, wherein the providing the resources to the logistics order taker taking the current logistics order according to the determined resource providing manner comprises:

and at the calculated time, providing resources for a logistics order taker for taking the current logistics order according to the calculated quantity of the resources.

7. The method of claim 5, further comprising:

and informing the potential logistics order taker of the current logistics order of the time and the quantity of the resources to be provided for the logistics order taker who takes the current logistics order.

8. A logistics service providing apparatus, comprising:

an acquisition module configured to acquire characteristics related to an action of canceling a logistics order and real-time transportation capacity information;

a determining module configured to determine a resource providing manner according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

9. An electronic device comprising a memory and a processor; wherein,

the memory is to store one or more computer instructions, wherein the one or more computer instructions are to be executed by the processor to implement the method of any one of claims 1 to 7.

10. A readable storage medium having stored thereon computer instructions, characterized in that the computer instructions, when executed by a processor, implement the method according to any one of claims 1 to 7.