CN116703271A - A aging determination method, device, computer equipment and storage medium - Google Patents

Abstract

The application relates to an aging determination method, an aging determination device, computer equipment and a storage medium. The method comprises the following steps: acquiring order information, and acquiring corresponding performance mode and performance aging calculation rules according to the order information; detecting whether first abnormal information exists in the performance mode; when the first abnormal information is responded, adjusting the performance aging calculation rule according to the first abnormal information, and acquiring a first predicted performance aging according to the adjusted performance aging calculation rule; and displaying the first predicted performance aging and the first abnormal information on the client. By adopting the method, the predicted performance aging can be timely adjusted according to abnormal conditions and displayed to the user, so that the accuracy of the predicted performance aging and the user experience are improved.

Description

A aging determination method, device, computer equipment and storage medium

technical field

The present application relates to the technical field of warehousing and logistics, in particular to a method, device, computer equipment and storage medium for determining the time limit.

Background technique

With the popularity and development of e-commerce, more and more users use e-commerce for shopping. In order to improve the user experience, usually the e-commerce platform will provide the order fulfillment timeliness to the client so that users can track and understand it.

However, due to some accidents (such as car accidents, floods) or adjustments in logistics policies and other abnormal situations that may occur during the transportation of the order, the expected performance time of the e-commerce platform does not match the actual delivery time of the order, which leads to users' dissatisfaction. Accurate order delivery time can be obtained, which in turn affects the user's shopping experience.

Contents of the invention

Based on this, it is necessary to address the above-mentioned technical problems and provide a method, device, and computer device for determining the time limit that can timely adjust and display the estimated performance time limit according to the abnormal situation to the user, so as to improve the accuracy of the expected performance time limit and the user experience. and storage media.

In order to solve the above technical problems, in the first aspect, the present application provides a method for determining the time limit, including:

Obtain order information, and obtain the corresponding performance mode and performance time limitation calculation rules according to the order information;

Detecting whether there is first abnormal information in the performance mode;

In response to the presence of the first abnormal information, adjust the performance limitation calculation rule according to the first abnormal information, and obtain the first expected performance limitation according to the adjusted performance limitation calculation rule;

Displaying the first expected performance time limit and the first abnormality information on the client terminal.

In one of the embodiments, the method of obtaining the corresponding performance mode and performance time limitation calculation rule according to the order information includes:

Disassemble the order information and obtain the order attributes;

Setting delivery warehouses corresponding to different fulfillment modes, and confirming the fulfillment mode and delivery warehouse according to the order attributes;

The calculation rule for the performance time limitation of the order is confirmed according to the performance mode and the delivery warehouse.

In one of the embodiments, in response to having the first abnormal information, the method for adjusting the performance limitation calculation rule according to the first abnormal information includes:

Setting the time limitation adjustment rules for different performance modes;

Locating the aging adjustment rule to which the first exception information belongs;

The calculation rule of the performance limitation period is adjusted according to the abnormal reason and the limitation adjustment rule.

In one of the embodiments, the method for setting different aging adjustment rules of the performance mode includes:

Split each of the stated performance models into multiple performance segments;

Set the operation subject of each contract performance link as the timeliness adjustment configuration dimension;

The time limit adjustment requirement of the time limit adjustment configuration dimension is set according to the time limit standard of each time limit adjustment configuration dimension, and the time limit adjustment requirement includes node overtime and power down time limit.

In one of the embodiments, the method for locating the aging adjustment rule to which the first exception information belongs includes:

Acquiring the first exception information;

Disassembling the first abnormal information into an abnormal subject and an abnormal reason;

Match the performance link according to the abnormal subject, and obtain the corresponding time adjustment configuration dimension;

The time limit adjustment requirement is confirmed according to the abnormality reason and the time adjustment configuration dimension.

In one of the embodiments, the method for confirming the time limit adjustment requirement according to the abnormal cause and the time adjustment configuration dimension includes:

Classifying said timing adjustment requirements into levels;

The processing capability of the abnormal cause according to the aging adjustment configuration dimension matches the time limit adjustment requirement of the corresponding level of the aging adjustment configuration dimension.

In one of the embodiments, the aging determination method also includes:

Monitor the order shipping process;

judging whether there is second abnormal information in the transportation process;

In response to having the second abnormality information, changing the first expected performance time limit according to the second abnormality information and obtaining a second expected performance time limit, and displaying the second expected performance time limit and the second abnormality information on the client side.

In order to solve the above technical problems, in the second aspect, the present application provides an aging determination device, which includes:

An order analysis module, configured to obtain order information, and obtain the corresponding performance mode and performance time limitation calculation rules according to the order information;

An abnormality detection module, configured to detect whether there is first abnormality information in the performance mode;

A contract performance time limit calculation module, configured to receive the detection information of the abnormality detection module;

In response to having the first abnormality information, adjust the performance limitation calculation rule according to the first abnormality information, and obtain a first expected performance limitation according to the adjusted performance limitation calculation rule, and convert the The first estimated performance time limit and the first abnormal information are displayed on the client terminal.

In order to solve the above technical problems, in a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, when the processor executes the computer program The steps of the method described in the first aspect above are realized.

In order to solve the above-mentioned technical problems, in a fourth aspect, the present application provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in the above-mentioned first aspect are implemented.

The above-mentioned method, device, computer equipment, and storage medium for determining the time limit obtain the order information, and obtain the corresponding performance mode and performance time limit calculation rules according to the order information, so as to obtain the performance time limit calculation rules under normal circumstances. At the same time, it is detected whether there is the first abnormal information in the performance mode corresponding to the order. If there is the first abnormal information, the calculation rule of the performance time limit is adjusted according to the first abnormal information, and the first estimated performance time limit is calculated according to the adjusted rule and Display the timeliness and exception information on the client, so as to fully consider the impact of abnormal conditions in the calculation process of the first estimated performance timeliness, so as to improve the accuracy of timeliness calculations, and provide accurate timeliness and exception information to users, thereby improving the user's shopping experience.

Description of drawings

Fig. 1 is an application environment diagram of the aging determination method in an embodiment;

Fig. 2 is a schematic flow chart of the aging determination method in the first embodiment;

Fig. 3 is a schematic flow chart of the aging determination method in the second embodiment;

Fig. 4 is a schematic flow chart of the aging determination method in the third embodiment;

Fig. 5 is a schematic flow chart of the aging determination method in the fourth embodiment

Fig. 6 is a structural block diagram of an aging determination device in a fifth embodiment;

Fig. 7 is a block diagram showing the internal structure of a computer device in the sixth embodiment.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

With the gradual development of e-commerce platforms, online shopping has become an indispensable link in people's lives. After users use the e-commerce platform to shop and place an order, in order to facilitate users to understand the transportation status of their goods, the e-commerce platform often needs to give an estimated delivery time, that is, the estimated performance time limit, and update the transportation status of the goods in real time. For the calculation of the estimated delivery time, the e-commerce platform will make an estimate based on various factors such as weather, distance, and carrier. However, although various calculation factors have been taken into account and corresponding calculation rules have been obtained, there is no guarantee that the transportation of every commodity can be carried out according to the expected situation.

For example, after comprehensive consideration of the circumstances of all parties and the formation of corresponding calculation rules for the expected performance time limit for different performance modes, some corresponding commodities can calculate the expected performance time limit according to the calculation rules under normal circumstances. However, after running for a period of time, if there are some abnormal situations, such as natural disasters such as floods, typhoons, and storms in some areas on the transportation route, or traffic accidents such as sudden car accidents and road damage during transportation, and due to transportation policies The change of the original calculation rules will lead to deviations, which will lead to inaccurate estimated performance time provided by the platform to users, and affect the user's shopping experience.

In view of the above problems, a time limitation determination method provided by the present application can be applied to the application environment shown in FIG. 1 . Wherein, the terminal 102 communicates with the server 104 through the network, and the above-mentioned method for determining the time limit can be applied to clients such as various e-commerce platforms and logistics transportation platforms on the key point 102 . Specifically, the server 104 can obtain order information, obtain the corresponding performance mode and performance time limit calculation rule according to the order information, and detect whether there is the first abnormal information in the performance mode, and if there is the first abnormal information, the server can according to the first An abnormality information adjusts the calculation rule of the performance limitation, obtains the first estimated performance limitation according to the adjusted performance limitation calculation rule, and displays the first estimated performance limitation and the first abnormal information on the client terminal 102 . The above method for determining the time limit can fully consider the impact on the calculation of the first estimated performance time limit in case of emergencies (such as natural disasters, traffic accidents, changes in transportation policies, etc.) in the calculation process of the first estimated performance time limit, so that Obtain more accurate estimated timeliness, so that users can get accurate waybill information, which in turn can provide users with a better shopping or transportation experience.

Wherein, the terminal 102 may be, but not limited to, various electronic devices such as personal computers, notebook computers, smart phones, and tablet computers, and the server 104 may be implemented by an independent server or a server cluster composed of multiple servers.

Embodiment one

In one embodiment, as shown in FIG. 2 (FIG. 2 is a schematic flowchart of the aging determination method in the first embodiment), a aging determination method is provided, and the method is applied to the terminal in FIG. 1 as an example for illustration. , including the following steps:

S201: Obtain order information, and obtain the corresponding performance mode and performance time limit calculation rules according to the order information;

In this embodiment, after the user places an order, the system can automatically generate relevant order information (such as commodity information, delivery place information, etc.) according to the order, and obtain the corresponding performance mode and performance time limit calculation rule according to the order information. Among them, the contract fulfillment mode refers to the specific realization process that the ordered goods are delivered from the e-commerce platform to the user, and the contract fulfillment mode can include direct delivery from the warehouse of the e-commerce platform, direct delivery from the warehouse of the commodity supplier on the e-commerce platform, and delivery from the warehouse of the e-commerce platform. The commodity supplier platform will deliver the goods to the warehouse of the e-commerce platform, and then the warehouse of the e-commerce platform will send out the goods, and the store of the e-commerce platform will deliver the goods by itself; the performance time limit is the estimated delivery time provided by the e-commerce platform for users. After the order information determines the corresponding performance mode, different performance modes will have different transportation routes, and then a common performance time limit calculation rule will be obtained based on weather, shipping, delivery, etc., so as to calculate the performance time limit of the product.

S202: Detect whether there is first abnormal information in the performance mode;

In this embodiment, after determining the performance model and its corresponding performance limitation calculation rules, firstly, whether there are any abnormalities in the respective performance entities and performance processes corresponding to the performance model. For example, whether the areas where the performance entities are located and whether the areas passed through during the performance process have caused traffic problems due to weather, or whether traffic accidents such as car accidents have caused traffic accidents such as roads to be unsmooth and other accidents. By timely detecting the above-mentioned first abnormal information, it is possible to know the specific performance process under the performance mode in a timely manner, so as to facilitate the subsequent calculation of the first expected performance time limit.

It is worth noting that the time delay caused by weather is usually taken into account in the performance time calculation rules generated for each performance mode, but the weather impact in the normal performance time calculation rules is based on weather forecasts and other circumstances. The abnormal situation referred to in this plan refers to the situation that the performance mode cannot be carried out normally due to floods, landslides, road damage, etc. caused by bad weather. The above-mentioned accidents caused by bad weather cannot be predicted only by the weather forecast. Therefore, the acquisition of abnormal information in this scheme and the early warning based on the weather forecast are two different means.

S203: In response to having the first abnormality information, adjust the performance limitation calculation rule according to the first abnormal information, and obtain the first expected performance limitation according to the adjusted performance limitation calculation rule;

In this embodiment, when the first abnormal information is detected in step S202, the calculation rules for the performance limitation period are adjusted according to the first abnormal information, that is, in which process the first abnormal information appears, and combined with the first abnormal information According to the abnormal reasons, the calculation rules of the performance time limit are adjusted comprehensively, and the first estimated performance time limit is obtained according to the adjusted performance time limit calculation rules, so that a more accurate first estimated performance time limit can be obtained.

If the first abnormality information is not detected in step S202, it means that there is no abnormality in the performance mode temporarily, and the performance time limit can be calculated according to the original performance time limit calculation rule, so as to obtain the first expected performance time limit.

S204: displaying the first expected performance time limit and the first abnormality information on the client terminal;

In this embodiment, in order to let the user know the expected delivery time of the purchased product in time, after obtaining the first estimated performance time limit, it will be displayed on the client in time, so that the user can easily understand. In addition, if there is the first abnormal information in the performance mode, it can also be displayed on the client, so that the user can know whether the expected delivery time due to the abnormal situation can be accepted under the above-mentioned unexpected circumstances. If the extension is not accepted by the user, other options can be replaced in time, so as to further improve the user's purchasing experience.

In this embodiment, the basic calculation rules for the expected performance time limit of the order are determined by matching the acquired order information with the corresponding performance mode and performance time limit calculation rule. And through the first abnormal information detection of the performance model, to confirm whether there is any abnormality in the performance process of the performance model after the order is issued, so that the original performance time limit calculation rules can be adjusted according to the first abnormal information , in order to obtain a more accurate first estimated performance time limit, thereby improving the user's shopping experience.

Embodiment two

Please refer to Fig. 3 (Fig. 3 is a schematic flow chart of the aging determination method in the second embodiment), the present application provides another aging determination method, including:

S301: Obtain order information;

In this embodiment, after the user places an order, the order information is acquired to obtain the information required for calculating the estimated performance time limit, so as to facilitate subsequent calculation of the performance time limit.

S302: Disassemble the order information and acquire the order attributes;

In this embodiment, after the order information is obtained, the order information is first disassembled, such as whether the order includes multiple commodities, and whether the multiple commodities need to be shipped together or separately. And obtain order attributes, such as whether the order is self-operated by the platform or self-delivered by the store, the specific specifications of the ordered goods, manufacturing, transportation requirements, etc., so as to facilitate the subsequent confirmation of the order's performance mode.

S303: Set delivery warehouses corresponding to different fulfillment modes, and confirm the fulfillment mode and delivery warehouse according to the order attributes;

In this embodiment, by dividing different orders into different fulfillment modes and corresponding shipping warehouses, order tracking and management can be realized more clearly. At the same time, different orders are delivered from different warehouses, which can effectively reduce the storage management pressure and cargo hoarding pressure of each warehouse, and can also facilitate the search of goods in each warehouse, thereby improving the delivery speed of each warehouse.

In addition, different warehouses will have slightly different shipping methods, which will generate different fulfillment models. For example, if the order is delivered by the platform warehouse, the fulfillment mode can be that the platform obtains the information of the receiving place of the order, and the platform warehouse directly sends the goods to the receiver as the sender; in this case, the platform warehouse In the fulfillment mode of autonomous delivery, it can effectively improve the control of the fulfillment timeliness of the order, that is, because the goods are in the platform warehouse, the platform can directly notify the platform warehouse to deliver the order information after obtaining the order information, and can reduce the number of orders from third parties in the fulfillment process. The influence of this can improve the transportation efficiency of goods. If the order needs to be delivered by the platform supplier's warehouse, the contract fulfillment mode can be divided into two types at this time. One can provide the information of the receiver to the supplier's warehouse, and the supplier's warehouse will directly send the goods to the receiver. ; Or the other way can also be that the supplier warehouse first sends the goods to the platform warehouse, and then the platform warehouse sends the goods to the receiver according to the receiver information in the order information; In the model, it can effectively reduce the storage management pressure of the platform warehouse and the pressure of commodity hoarding, and can facilitate the realization of platform storage management. If the order needs to be shipped independently by the platform store, the store can confirm the specific warehouse of the product through the SPU of the product in the order attribute and the three-level classification of the product, and obtain the consignee information of the product through the order information to confirm the specific The delivery method is convenient for the platform and stores to manage and track the goods.

Through the acquisition of order information, after confirming the order attributes, it can automatically match the delivery warehouse and performance mode corresponding to the goods in the order, so that in the subsequent calculation of the performance time limit, whether there is any abnormality in the performance process and the performance subject Information, etc., in order to realize the calculation of the time limit for performance.

S304: Confirm the calculation rules for the performance time limitation of the order according to the performance mode and delivery warehouse;

In this embodiment, after confirming the performance mode and the delivery warehouse, the corresponding calculation rules for the performance time limit are obtained, that is, different performance modes target different performance subjects, so that various factors may cause various factors in the performance process (such as the location of the delivery warehouse, management conditions, etc.), the performance time limit of each performance mode is different. Therefore, in order to obtain a more accurate estimated time, through the precise division of the above situations, the responsible subjects in each process can be effectively confirmed, so as to realize the detailed division of the entire performance process, and then to obtain a more accurate calculation of the performance time limit rule.

S305: Detect whether there is first abnormal information in the contract performance mode;

In this embodiment, by detecting each performance subject and specific performance process of the confirmed performance model, it is convenient to identify whether an abnormal situation occurs in a certain process in a timely manner, so as to facilitate the timely adjustment of the calculation rules of the performance time limit. In order to improve the accuracy of performance calculation.

S306: Setting the timeliness adjustment rules for different performance modes;

In this embodiment, due to the different performance entities involved in different performance modes, different performance entities have different handling capabilities according to abnormal circumstances. Therefore, the performance time limit can be set for the performance entities in different performance modes. Adjust the rules. Exemplarily, it is possible to collect and analyze the abnormal conditions of historical waybills based on transportation experience, and to confirm various possible situations when encountering relevant problems. Adjustment rules for various situations can be set, so that the When it occurs again, an adjustment plan can be given in a timely and accurate manner.

S307: Obtain first abnormal information, and disassemble the first abnormal information into an abnormal subject and an abnormal cause;

In this embodiment, after the first abnormal information is detected, the first abnormal information needs to be analyzed to determine the aging adjustment rule to which the first abnormal information belongs. When analyzing the first abnormal information, it can be disassembled into the abnormal subject and the abnormal reason. The abnormal subject is the place where the abnormal information occurs, and the abnormal cause is the specific cause of the abnormal information, such as traffic accidents and natural disasters.

S308: Match the contract performance link according to the abnormal subject, and obtain the corresponding timeliness adjustment configuration dimension;

In this embodiment, since the abnormal subject can display the specific location where the abnormal information occurs, and the contract fulfillment processes of different contract fulfillment links in the contract fulfillment mode are also in different locations, so the matching of the abnormal subject and the contract fulfillment link can be realized through position matching. And the corresponding time adjustment configuration dimension can be obtained.

S309: Adjust the configuration dimension according to the cause of the abnormality and the time limit to confirm the time limit adjustment requirement;

In this embodiment, the difficulty of handling abnormal situations caused by different abnormal reasons is different, and at the same time, each timeliness adjustment configuration dimension (i.e., the performance subject) has different processing capabilities for various abnormalities, so it is necessary to adjust according to the abnormality reason and timeliness The configuration dimensions jointly confirm the specific time limit adjustment requirements.

Through the above steps S307-S309, it is possible to match the abnormal performance link according to the abnormal cause of the first abnormal information, and obtain the corresponding timeliness adjustment configuration dimension, that is, the performance subject, so that the operation subject to which the first abnormal information belongs can be confirmed in time, In order to facilitate the confirmation of the time limit adjustment requirements, and further implement the time adjustment rules for locating the first abnormality information.

In this embodiment, when the first abnormal information is detected in step S305, it is first necessary to analyze the first abnormal information, and locate the performance subject and performance link to which the first abnormal information belongs according to the abnormal subject and the abnormal cause, so as to timely The first exception information is matched with the set aging adjustment rules, so as to facilitate subsequent adjustments to the performance aging calculation rules.

S310: Adjust the performance limitation calculation rule according to the limitation adjustment rule;

In this embodiment, different aging adjustment rules are matched due to different abnormal causes, and different time limits are set for different abnormal reasons in different aging adjustment rules, that is, time limit adjustment requirements. For example, if the subject of the first abnormal information is the platform warehouse, then according to the delivery experience of the platform warehouse, the delivery node at the platform warehouse can be set, and the time limit can be adjusted to a maximum of 168 hours. It can be understood that the specific duration can be set according to the abnormal cause in experience, which is not limited in this embodiment. Therefore, after locating the first abnormality information, according to the experience of the performance subject in dealing with the abnormal situation and the specific circumstances of the abnormality, the corresponding aging adjustment rule can be matched, and the aging adjustment rule can be used to adjust the performance aging calculation rule.

S311: Obtain the first estimated performance time limit according to the adjusted performance time limit calculation rule;

In this embodiment, if there is no first abnormality information after the calculation rule of the performance time limit matched by the performance mode obtained according to the order information, the first expected performance time limit can be directly calculated according to the calculation rule of the performance time limit; if there is the first abnormality information, and after confirming the timeliness adjustment rule to which the first abnormal information belongs, the first expected performance timeliness can be calculated according to the adjusted performance timeliness calculation rules, thereby improving the calculation accuracy of the first expected performance timeliness.

S312: Displaying the first expected performance time limit and the first abnormality information on the client terminal;

After the first estimated performance time limit is calculated by the platform, the first expected performance time limit can be displayed on the client terminal, so that users can understand the status of the order. At the same time, if there is the first abnormal information, it can also be displayed on the client terminal, so that It is convenient for the user to understand the specific reason, so as to improve the user's shopping experience. It can be understood that, when there is no first abnormal information, the first abnormal information may not be displayed, or there may be a note that there is no first abnormal information, etc., which are not specifically limited in this embodiment.

S313: Monitor the order transportation process;

In this embodiment, after obtaining the first estimated performance time limit, real-time monitoring is required during the transportation of the order. On the one hand, the accuracy of the calculated first estimated performance time limit can be judged; Abnormal situations can also be known in time, which facilitates the management of the order transportation process.

S314: Determine whether there is second abnormal information in the transportation process;

In this embodiment, in addition to calculating the first estimated performance time limit before the order starts, the estimated performance time limit will be adjusted in real time during the transportation of the order, so that users can know the specific conditions of their orders in real time. And by judging whether there is second abnormal information in the transportation process, it is judged whether it is necessary to update the first expected performance time limit.

S315: In response to having the second abnormal information, change the first expected performance time limit according to the second abnormal information and obtain the second expected performance time limit, and display the second expected performance time limit and the second abnormal information on the client;

In this embodiment, if there is second abnormal information during transportation, the first expected performance time limit should be changed according to the second abnormal information, so as to obtain the second expected performance time limit, wherein, the first estimated time limit for performance should be changed according to the second abnormal information. For the process of predicting the time limit for performance, reference may be made to the process of obtaining the first estimated time limit for performance when the first abnormality information is available, which will not be repeated here. After obtaining the second estimated performance time limit, the second estimated performance time limit and the second abnormality information can be displayed on the client, so that users can understand the transportation process of the order, so as to realize the real-time update of the expected performance time limit and further improve the expected performance time limit accuracy, thereby improving the user's shopping experience.

It is worth noting that in the current order transportation process, there is often an order monitoring system, and the second abnormality information can be obtained by relying on the order monitoring system, or through the carrier or platform logistics management staff. In addition, in this application, after obtaining the second abnormality information, the platform management personnel will not only handle the abnormal situation, but also update the first expected performance time limit according to the specific processing process. That is to say, this application will not only solve the abnormal situation, but also update the estimated performance time limit according to the abnormal situation in time, so that the user can also know the transportation process of the order in time, and then provide users with better service and improve the user's shopping experience .

Embodiment Three

Please refer to Figure 4 (Figure 4 is a schematic flow chart of the limitation determination method in the third embodiment), in one of the embodiments, the present application also provides a limitation determination method, in which the limitation adjustment rules for different performance modes are set The methods include:

S3061: Split each contract performance mode into multiple contract performance links;

In this embodiment, in order to quickly locate the timeliness adjustment rule to which the first abnormality information belongs, each contract fulfillment mode can be divided into multiple contract fulfillment links in detail, so that fine management of the contract fulfillment process can be realized. When the first abnormal information appears, it can also be judged in a timely manner which link has a problem, so as to facilitate the calculation of the time limit for performance. Exemplarily, taking the fulfillment model as an example where the supplier warehouse delivers goods to the platform warehouse, and then the platform warehouse delivers goods to the consignee, the fulfillment mode can be divided into the first place of origin and the first place of receipt , the second origin link, the delivery address of the carrier and delivery, the delivery address, and the carrier and distributor and other performance links. It can be understood that the division of the contract performance mode and the contract performance link can be selected according to the actual situation, and this embodiment only provides an example and does not make a specific limitation.

S3062: Set the operation subject of each contract performance link as the timeliness adjustment configuration dimension;

In this embodiment, in order to facilitate subsequent search for aging adjustment rules, each performance subject in different contract performance links may be set as the aging adjustment configuration dimension. For example, the timeliness adjustment configuration dimension can be suppliers, platforms, stores, carriers, etc., that is, by matching the operation subject of the performance link as the timeliness adjustment configuration dimension, it is easy to find the responsible subject of the corresponding link, so that it is easy to match each responsible subject for different The processing speed of abnormal situations, in order to obtain more reasonable and accurate time adjustment rules.

S3063: According to the timeliness standard of each timeliness adjustment configuration dimension, set the timeline adjustment requirements of the timeliness adjustment configuration dimension, and the timeline adjustment requirements include node overtime and right downtime;

In this embodiment, since different work subjects set different time limit standards, during the process of time limit adjustment, the time limit adjustment requirements of the work subject can be set according to the work subject's original time limit standards. For example, for the supplier entity, if the platform entity stipulates that the supplier entity needs to guarantee delivery within 3 working days when there is an abnormal situation, while the internal regulation of the supplier entity requires that the abnormal situation be handled within 2 working days and the goods, then at this time, the time limit adjustment requirement for the supplier entity at the delivery node is less than 2 working days, and the time limit adjustment requirement at this time can be no more than 48 hours. Compared with the original regulations of the platform entity, this This calculation method can obtain a more accurate estimated performance time limit.

Further, the time limit adjustment requirements may include node overtime and power down time limit. Among them, the node overtime refers to when abnormal situations occur at each performance node in each performance mode, the calculation rules for the performance time limit can be overtimed at this node, and the overtime period corresponding to different abnormal situations can be set, and The maximum overtime period can be specified, so as to accurately calculate the estimated performance time limit and at the same time urge the waybill management personnel to verify, follow up and deal with the abnormal situation, so as to avoid the abnormal situation lasting too long and affecting the user's shopping experience. For example, during holidays and big promotions, due to the impact of the shipping capacity of the carrier and the delivery capacity of the warehouse, it may be necessary to perform node overtime at the corresponding node. In addition, for pre-sale orders, large-scale furniture, and other customized new products, there may be insufficient inventory or temporary processing. At this time, you can set the corresponding node overtime at the relevant delivery node to obtain a more accurate estimate. Performance statute of limitations.

The time limit for the reduction of rights is for when the abnormal situation under each node of each performance mode is more serious, such as the situation that the goods cannot be transferred out of the node within a short period of time due to force majeure such as epidemic prevention control, traffic control, and weather , in this case, the delivery of the order will be affected by many situations, so the platform cannot accurately predict the performance time limit. At this time, the time limit of the waybill can be set to stagnant, so that users can easily understand the order performance process.

Embodiment Four

Please refer to Fig. 5 (Fig. 5 is a schematic flow chart of the aging determination method in the fourth embodiment), in one embodiment, the present application also provides a aging determination method, wherein according to the abnormal cause and the aging adjustment Methods for configuring dimensions to confirm the stated timing adjustment requirements include:

S3091: Divide the time limit adjustment requirements into multiple levels;

In this embodiment, due to different abnormal causes, the performance process will have different effects. For example, if the cause of the abnormality is a traffic accident on a certain road during the performance of the contract, the impact that the cause of the abnormality may cause is that the estimated time limit for performance of the contract needs to be increased by 2 hours; , the possible impact of this abnormal reason is that the expected performance time needs to be increased by 24 hours. In the same way, it can be seen that the time limit adjustment requirements can be divided into multiple levels according to different abnormal reasons, and each level corresponds to a different time limit, so as to facilitate subsequent adjustments to the estimated time limit calculation rules.

S3092: Match the time limit adjustment requirements of the corresponding level of the timeliness adjustment configuration dimension according to the timeliness adjustment configuration dimension's ability to handle abnormal causes;

In this embodiment, due to different timeliness configuration dimensions, that is, the processing ability and processing time of the job subject for the same abnormal cause will be different, so after getting the abnormal reason, it is also necessary to confirm the processing ability of the job subject’s abnormal situation Only by confirming its accurate time limit adjustment requirements can the accuracy of the first estimated performance time limit be improved.

It is worth noting that, the above-mentioned adjustment of the performance limitation calculation rule based on the second abnormal information can refer to the adjustment method of the first abnormal information, which will not be repeated here.

In some embodiments, the present application also provides a method for determining the time limit, including:

Provide a management interface for the calculation rules of the time limit for performance, and add, disable, query or export the time limit calculation rules on the management interface.

In this embodiment, in order to make it easier for the platform to manage the calculation rules of the performance time limit, the management interface of the performance time limit calculation rules is provided to implement operations such as adding, deactivating, querying or exporting the performance time limit calculation rules on the management interface .

Among them, when the first abnormal information or the second abnormal information appears, it is necessary to adjust the original calculation rules for the expected performance time limit. At this time, you can add a performance time limit calculation rule for abnormal situations in the management interface , and choose this rule to realize the calculation of the expected performance time limit. Deactivation refers to the option to deactivate the performance limitation calculation rule when some links in the performance limitation calculation rule are in conflict with the current performance process. The query is to be able to find out what rules the estimated performance time limit of the current order is calculated based on the order information, and to understand the performance time limit calculation rules that may be needed for related orders. Export means that managers can export multiple performance limitation calculation rules to the system through batch export, so as to use other software to perform batch analysis or statistics on performance limitation rules.

It can be understood that an interactive system can also be added to the management interface, that is, the management interface can directly communicate with the operation subject of the first abnormal information and the second abnormal information, or can send emails to communicate through the system, etc., which are not made in this embodiment. Specific limits.

It should be understood that although the various steps in the flow charts of FIGS. 2-5 are shown sequentially as indicated by the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in Figures 2-5 may include a plurality of sub-steps or stages, these sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, these sub-steps or stages The order of execution is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

Embodiment five

As shown in Figure 6, the present application also provides an aging determination device 400, which includes: an order analysis module 401, an anomaly detection module 402, and a performance aging calculation module 403. The order analysis module 401 is used to obtain order information, according to the order The information acquires the corresponding contract performance mode and contract performance time limitation calculation rule, and the abnormality detection module 402 is used to detect whether there is the first abnormal information in the contract performance mode. The performance time limit calculation module 403 is used to receive the detection information from the abnormality detection module 402, and when there is no first abnormal information, obtain the first estimated performance time limit according to the performance time limit calculation rules, and display the first expected performance time limit on the client; In response to having the first abnormal information, adjust the performance limitation calculation rule according to the first abnormal information, and obtain the first estimated performance limitation according to the adjusted performance limitation calculation rule, and combine the first estimated performance limitation and the first abnormal information Displayed in the client, the aging determination device 400 can be set independently or in the system, which is not limited in this embodiment.

For the specific limitations of the aging determination device 400 , refer to the above-mentioned limitations on the aging determination method, which will not be repeated here. Each module in the above aging determination apparatus 400 may be fully or partially implemented by software, hardware or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

In one of the embodiments, the aging determination device 400 can also implement the following steps:

S301: Obtain order information;

S302: Disassemble the order information and acquire the order attributes;

S303: Set delivery warehouses corresponding to different fulfillment modes, and confirm the fulfillment mode and delivery warehouse according to the order attributes;

S304: Confirm the calculation rules for the performance time limitation of the order according to the performance mode and delivery warehouse;

S305: Detect whether there is first abnormal information in the contract performance mode;

S306: Setting the timeliness adjustment rules for different performance modes;

S307: Obtain first abnormal information, and disassemble the first abnormal information into an abnormal subject and an abnormal cause;

S308: Match the contract performance link according to the abnormal subject, and obtain the corresponding timeliness adjustment configuration dimension;

S309: Adjust the configuration dimension according to the cause of the abnormality and the time limit to confirm the time limit adjustment requirement;

S310: Adjust the performance limitation calculation rule according to the limitation adjustment rule;

S311: Obtain the first estimated performance time limit according to the adjusted performance time limit calculation rule;

S312: Displaying the first expected performance time limit and the first abnormality information on the client terminal;

S313: Monitor the order transportation process;

S314: Determine whether there is second abnormal information in the transportation process;

S315: In response to having the second abnormality information, change the first expected performance time limit according to the second abnormality information and obtain the second expected performance time limit, and display the second expected performance time limit and the second abnormality information on the client.

In one of the embodiments, the method for setting the aging adjustment rules for different performance modes includes:

S3061: Split each contract performance mode into multiple contract performance links;

S3062: Set the operation subject of each contract performance link as the timeliness adjustment configuration dimension;

S3063: Set the time limit adjustment requirements of each time limit adjustment configuration dimension according to the time limit standard of each time limit adjustment configuration dimension, and the time limit adjustment requirements include node overtime and power down time limit.

In one of the embodiments, the method for confirming the time limit adjustment requirements according to the abnormality reason and time adjustment configuration dimension includes:

S3091: Divide the time limit adjustment requirements into multiple levels;

S3092: According to the time limit adjustment requirement of the corresponding level of the time limit adjustment configuration dimension, the processing ability of the time limit adjustment configuration dimension for the abnormal cause is matched.

In some embodiments, the aging determination device 400 can also implement the following steps:

Provide a management interface for the calculation rules of the time limit for performance, and add, disable, query or export the time limit calculation rules on the management interface.

Embodiment six

As shown in Figure 7, the present application also provides a computer device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, the computer device may be a server, and its internal structure diagram may be as follows Figure 7 shows. The computer device includes a processor, memory, network interface and database connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store order data. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements a method for determining the time limit.

Those skilled in the art can understand that the structure shown in Figure 7 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation to the computer equipment on which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

When the processor executes the computer program, the following steps are implemented:

S201: Obtain order information, and obtain the corresponding performance mode and performance time limit calculation rules according to the order information;

S202: Detect whether there is first abnormal information in the performance mode;

S203: In response to having the first abnormality information, adjust the performance limitation calculation rule according to the first abnormal information, and obtain the first expected performance limitation according to the adjusted performance limitation calculation rule;

S204: Display the first expected performance time limit and the first abnormality information on the client terminal.

In one of the embodiments, when the processor executes the computer program, the following steps can also be implemented:

S301: Obtain order information;

S302: Disassemble the order information and acquire the order attributes;

S303: Set delivery warehouses corresponding to different fulfillment modes, and confirm the fulfillment mode and delivery warehouse according to the order attributes;

S304: Confirm the calculation rules for the performance time limitation of the order according to the performance mode and delivery warehouse;

S305: Detect whether there is first abnormal information in the contract performance mode;

S306: Setting the timeliness adjustment rules for different performance modes;

S307: Obtain first abnormal information, and disassemble the first abnormal information into an abnormal subject and an abnormal cause;

S308: Match the contract performance link according to the abnormal subject, and obtain the corresponding timeliness adjustment configuration dimension;

S309: Adjust the configuration dimension according to the cause of the abnormality and the time limit to confirm the time limit adjustment requirement;

S310: Adjust the performance limitation calculation rule according to the limitation adjustment rule;

S311: Obtain the first estimated performance time limit according to the adjusted performance time limit calculation rule;

S312: Displaying the first expected performance time limit and the first abnormality information on the client terminal;

S313: Monitor the order transportation process;

S314: Determine whether there is second abnormal information in the transportation process;

S315: In response to having the second abnormality information, change the first expected performance time limit according to the second abnormality information and obtain the second expected performance time limit, and display the second expected performance time limit and the second abnormality information on the client.

In one of the embodiments, the method for setting the aging adjustment rules for different performance modes includes:

S3061: Split each contract performance mode into multiple contract performance links;

S3062: Set the operation subject of each contract performance link as the timeliness adjustment configuration dimension;

S3063: Set the time limit adjustment requirements of each time limit adjustment configuration dimension according to the time limit standard of each time limit adjustment configuration dimension, and the time limit adjustment requirements include node overtime and power down time limit.

In one of the embodiments, the method for confirming the time limit adjustment requirements according to the abnormal cause and time adjustment configuration dimension includes:

S3091: Divide the time limit adjustment requirements into multiple levels;

S3092: According to the time limit adjustment requirement of the corresponding level of the time limit adjustment configuration dimension, the processing ability of the time limit adjustment configuration dimension for the abnormal cause is matched.

In some embodiments, when the processor executes the computer program, the following steps can also be implemented:

Provide a management interface for the calculation rules of the time limit for performance, and add, disable, query or export the time limit calculation rules on the management interface.

Embodiment seven

The present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

S201: Obtain order information, and obtain the corresponding performance mode and performance time limit calculation rules according to the order information;

S202: Detect whether there is first abnormal information in the performance mode;

S203: In response to having the first abnormality information, adjust the performance limitation calculation rule according to the first abnormal information, and obtain the first expected performance limitation according to the adjusted performance limitation calculation rule;

S204: Display the first expected performance time limit and the first abnormality information on the client terminal.

In one of the embodiments, when the computer program is executed by the processor, the following steps can also be implemented:

S301: Obtain order information;

S302: Disassemble the order information and acquire the order attributes;

S303: Set delivery warehouses corresponding to different fulfillment modes, and confirm the fulfillment mode and delivery warehouse according to the order attributes;

S304: Confirm the calculation rules for the performance time limitation of the order according to the performance mode and delivery warehouse;

S305: Detect whether there is first abnormal information in the contract performance mode;

S306: Setting the timeliness adjustment rules for different performance modes;

S307: Obtain first abnormal information, and disassemble the first abnormal information into an abnormal subject and an abnormal cause;

S308: Match the contract performance link according to the abnormal subject, and obtain the corresponding timeliness adjustment configuration dimension;

S309: Adjust the configuration dimension according to the cause of the abnormality and the time limit to confirm the time limit adjustment requirement;

S310: Adjust the performance limitation calculation rule according to the limitation adjustment rule;

S311: Obtain the first estimated performance time limit according to the adjusted performance time limit calculation rule;

S312: Displaying the first expected performance time limit and the first abnormality information on the client terminal;

S313: Monitor the order transportation process;

S314: Determine whether there is second abnormal information in the transportation process;

S315: In response to having the second abnormality information, change the first expected performance time limit according to the second abnormality information and obtain the second expected performance time limit, and display the second expected performance time limit and the second abnormality information on the client.

In one of the embodiments, the method for setting the aging adjustment rules for different performance modes includes:

S3061: Split each contract performance mode into multiple contract performance links;

S3062: Set the operation subject of each contract performance link as the timeliness adjustment configuration dimension;

S3063: Set the time limit adjustment requirements of each time limit adjustment configuration dimension according to the time limit standard of each time limit adjustment configuration dimension, and the time limit adjustment requirements include node overtime and power down time limit.

In one of the embodiments, the method for confirming the time limit adjustment requirements according to the abnormality reason and time adjustment configuration dimension includes:

S3091: Divide the time limit adjustment requirements into multiple levels;

S3092: According to the time limit adjustment requirement of the corresponding level of the time limit adjustment configuration dimension, the processing ability of the time limit adjustment configuration dimension for the abnormal cause is matched.

In some embodiments, when the computer program is executed by the processor, the following steps can also be implemented:

Provide a management interface for the calculation rules of the time limit for performance, and add, disable, query or export the time limit calculation rules on the management interface.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include non-volatile and/or volatile memory. Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

The above-mentioned embodiments only represent several implementation modes of the present application, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.

Claims (10)

1. A method for determining time limitation, characterized in that, comprising: Obtain order information, and obtain the corresponding performance mode and performance time limitation calculation rules according to the order information; Detecting whether there is first abnormal information in the performance mode; In response to the presence of the first abnormal information, adjust the performance limitation calculation rule according to the first abnormal information, and obtain the first expected performance limitation according to the adjusted performance limitation calculation rule; Displaying the first expected performance time limit and the first abnormality information on the client terminal. 2. The method for determining the time limit according to claim 1, wherein the method for obtaining the corresponding performance mode and performance time limit calculation rules according to the order information comprises: Disassemble the order information and obtain the order attributes; Setting delivery warehouses corresponding to different fulfillment modes, and confirming the fulfillment mode and delivery warehouse according to the order attributes; The calculation rule for the performance time limitation of the order is confirmed according to the performance mode and the delivery warehouse. 3. The method for determining the limitation of time according to claim 2, characterized in that, in response to having the first abnormal information, the method of adjusting the calculation rule of the limitation of performance according to the first abnormal information comprises: Setting the time limitation adjustment rules for different performance modes; Locating the aging adjustment rule to which the first exception information belongs; Adjust the performance limitation calculation rule according to the limitation adjustment rule. 4. The aging determination method according to claim 3, characterized in that, the method of setting different aging adjustment rules of the performance mode comprises: Split each of the stated performance models into multiple performance segments; Set the operation subject of each contract performance link as the timeliness adjustment configuration dimension; The time limit adjustment requirement of the time limit adjustment configuration dimension is set according to the time limit standard of each time limit adjustment configuration dimension, and the time limit adjustment requirement includes node overtime and power down time limit. 5. The aging determination method according to claim 4, wherein the method for locating the aging adjustment rule to which the first abnormal information belongs comprises: Obtaining the first abnormal information, and disassembling the first abnormal information into an abnormal subject and an abnormal reason; Match the performance link according to the abnormal subject, and obtain the corresponding time adjustment configuration dimension; The time limit adjustment requirement is confirmed according to the abnormality reason and the time adjustment configuration dimension. 6. The method for determining the time limit according to claim 5, wherein the method for confirming the time limit adjustment requirement according to the abnormal cause and the time limit adjustment configuration dimension comprises: Classifying said timing adjustment requirements into levels; The processing capability of the abnormal cause according to the aging adjustment configuration dimension matches the time limit adjustment requirement of the corresponding level of the aging adjustment configuration dimension. 7. The aging determination method according to any one of claims 1-6, wherein the aging determination method further comprises: Monitor the order shipping process; judging whether there is second abnormal information in the transportation process; In response to having the second abnormality information, changing the first expected performance time limit according to the second abnormality information and obtaining a second expected performance time limit, and displaying the second expected performance time limit and the second abnormality information on the client side. 8. An aging determination device, characterized in that the device comprises: An order analysis module, configured to obtain order information, and obtain the corresponding performance mode and performance time limitation calculation rules according to the order information; An abnormality detection module, configured to detect whether there is first abnormality information in the performance mode; A contract performance time limit calculation module, configured to receive the detection information of the abnormality detection module; In response to having the first abnormality information, adjust the performance limitation calculation rule according to the first abnormality information, and obtain a first expected performance limitation according to the adjusted performance limitation calculation rule, and convert the The first estimated performance time limit and the first abnormal information are displayed on the client terminal. 9. A computer device, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, characterized in that, when the processor executes the computer program, any one of claims 1 to 7 is realized. A step of said method. 10. A computer-readable storage medium, on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.