WO2016206106A1 - Smart apparatus and associated product recommendation method - Google Patents

Abstract

A smart apparatus and an associated product recommendation method. The smart apparatus comprises an attribute analysis unit (103), used for analysing product attributes and population group consumption attributes in cash register data; a customer profile establishing unit (104), used for tagging people on the basis of the analysed product attributes and population group consumption attributes, in order to classify population groups and establish customer profiles; and an associated recommendation unit (105), used for implementing associated recommendation of products and corresponding coupons on the basis of the customer consumption preferences and past shopping list data in a customer profile. The associated product recommendation method comprises the following steps: collecting cash register data in a cloud server (302); acquiring the cash register data in the cloud server and implementing analysis of product attributes and population group consumption attributes (303); on the basis of the analysed product attributes and population group consumption attributes, establishing customer profiles (304); and on the basis of the customer profile data, implementing associated recommendation of products and corresponding coupons (305). Merchants are thereby assisted in implementing precise marketing and personalised service.

Description

Intelligent device and method for associating recommended products Technical field

The present invention relates to a smart device and a method for associating recommended products, and more particularly to a smart device applied to a cash register system and a method for associating recommended products.

Background technique

At present, the cash register system placed in shopping malls and various small stores is as follows: after the goods purchased by the customer are sent to the checkout counter, the barcode scanner is picked up and the barcode pattern on the outer packaging of the product is scanned, and the product information is scanned and read. The computer display will display all the information about the product, such as barcode, product name, item number, retail price, purchase quantity, etc. If the item participates in a discount or participates in the points activity, the cash register system will automatically calculate the discount of the item. The price, after a product is read, the bar code scanning is performed on the next product in the same way; the cash register system software automatically calculates the total price of all purchased goods; for the customer holding the membership card, the cashier needs to be in the foreground Enter the customer's membership card number, and then you will be able to view the customer's name, membership card balance, and discount rate, and collect customer funds based on the discounted amount. The cashier collects the customer's cash and conducts the change and other activities according to the cashier system prompt. Print the customer's purchase invoice using a small ticket printer. However, the traditional cash register system can not analyze the customer's consumption preferences and behavioral characteristics, and accurately recommend related products and corresponding coupons to promote further consumption.

Disclosure of invention

technical problem

Based on this, it is necessary to provide a smart device capable of accurately marketing customers and a method of associating recommended products.

Problem solution

Technical solution

The smart device is connected to at least one cloud server, and the smart device includes:

An acquisition unit, configured to collect cash register data from a cloud server;

The attribute analysis unit is configured to acquire cash register data in the cloud server and analyze the commodity attributes and the consumption attributes of the crowd;

a customer profile establishing unit for tagging people according to the commodity attributes and crowd consumption attributes analyzed above, thereby classifying the crowd and establishing a customer profile;

The association recommendation unit is configured to perform association recommendation of the product and the corresponding coupon according to the customer consumption preference and the previous shopping detail data in the customer profile.

In one embodiment, the smart device further includes a coupon rollout unit for performing a write-off of the used coupon when the customer pays the credit amount with the coupon.

In one embodiment, the smart device further includes a network receiving and transmitting unit for transmitting and receiving network signals to provide a smart device network environment.

The method of associating recommended products includes the following steps:

Connecting the smart device to a cloud server;

Collecting cash register data in the cloud server;

Obtain cash register data in the cloud server and analyze the commodity attributes and the consumption attributes of the crowd;

According to the above-mentioned analysis of commodity attributes and crowd consumption attributes, the characters are tagged to classify the people and establish customer profiles;

Relevant recommendations for products and corresponding coupons are based on customer spending preferences and past shopping details in the customer profile.

Advantageous effects of the invention

Beneficial effect

The smart device and the method for recommending the recommended products realize accurate analysis of the cash register data in the offline cash register system, and carry out accurate related product recommendation and coupon delivery, thereby helping the merchant to achieve precise marketing and personalized service.

Brief description of the drawing

DRAWINGS

The above and other objects, features and advantages of the present invention will become more <RTIgt;

1 is a schematic structural diagram of an embodiment;

2 is a functional unit diagram of the smart device of FIG. 1;

3 is a flow chart of integrating the cash register data of the smart device described in FIG. 1;

Figure 4 is a product attribute display diagram;

Figure 5 is a diagram showing the consumption characteristics of the crowd; and

Figure 6 is a customer profile display.

Invention embodiment

Embodiments of the invention

The above described objects, features and advantages of the present invention will become more apparent from the aspects of the appended claims. Numerous specific details are set forth in the description below in order to provide a thorough understanding of the invention. However, the present invention can be implemented in many other ways than those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the invention, and thus the invention is not limited by the specific embodiments disclosed below.

Please refer to FIG. 1 , which is a schematic diagram of the architecture of the embodiment. A smart device 1 is connected to at least one cash register 2, at least one printer 3 and at least one cloud server 4 in sequence. The smart device 1 is connected to the cash register 2 and the printer 3 via level shifters, respectively. The smart device 1 can be connected to the cloud server 4 via a WIFI (Wireless Fidelity), wired, mobile (eg 3G or 4G) network. The smart device 1 collects the cash register data transmitted by the cash register 2, and generates a two-dimensional code for the integrated application of the cash register data, and transmits the collected cash register data and the product two-dimensional code to the printer 3, and finally the printer 3 The cash register data and the product QR code are printed together to the small ticket. At the same time, the smart device 1 uploads the cash register data and the product two-dimensional code information to the cloud server 4 for backup through the network. The customer can use WeChat or other means to scan the product QR code on the ticket or the product QR code displayed on the display of the smart device 1 to make a payment. By scanning the product QR code, you can pay attention to the merchant's public number to become a fan of the merchant. You can pay attention to the merchant's promotion activities for a long time, and you can also get the electronic bill, product details, total purchase price, payment method, small ticket order number for each purchase. Consumption information such as trading hours.

In addition, the smart device 1 may also collect cash register data in the cloud server 4 and analyze the product attributes and the crowd consumption attributes; perform tagging and establish customer files according to the analyzed product attributes and crowd consumption attributes; The customer profile associates the recommended products that the customer may like and the corresponding coupons; and sends the associated recommended products and the corresponding coupons to the customer smart terminal. The customer receives the related products and corresponding coupons that are pushed and can be purchased according to their own preferences and needs, and can also share the received coupons with friends. When the customer is shopping, the coupon is used directly with the smart device 1 Write off the coupon.

The smart device 1 realizes accurate analysis of the cash register data in the offline cash register system, and carries out accurate related product recommendation and coupon delivery, thereby helping the merchant to achieve precise marketing and personalized service.

Please refer to FIG. 2 , which is a functional unit diagram of the smart device 1 in FIG. 1 , which includes an input unit 100 , an acquisition unit 101 , a two-dimensional code generation unit 102 , an attribute analysis unit 103 , a customer profile creation unit 104 , and an associated recommendation unit . 105. The coupon verification unit 106, the network receiving and transmitting unit 107, and the display screen 108. The input unit 100 is used for the customer to input information that needs to be queried or needs to be confirmed. For example, the customer can confirm the total transaction price of the message and the verification of the card vouchers through the input unit 100; the collecting unit 101 is configured to collect the cash register. The cash register data transmitted by the machine 2 includes the store number, the cashier, the customer consumption details, the customer basic data, the final consumption total price, the payment method, the small ticket order number, the transaction time and the like, each time the customer purchases. In addition, the collecting unit 101 is further configured to collect cash register data from the cloud server 4 through the network for the smart device 1 to analyze commodity attributes, crowd consumption attributes, and the like.

The two-dimensional code generating unit 102 is configured to parse the collected cash register data, extract corresponding field values and customer consumption details, and generate a product two-dimensional code according to the parsed field values and message details. The product two-dimensional code can be displayed on the display screen of the smart terminal 1 or uploaded to the cloud server 4 for backup by the network, or sent to the printer 3 for the customer consumption ticket.

The attribute analysis unit 103 is configured to acquire the cash register data in the cloud server 4 and analyze the commodity attribute and the crowd consumption attribute, wherein the product attribute is shown in FIG. 4, and the crowd consumption attribute is displayed as shown in FIG. 5 to help the merchant. Achieve precision marketing and personalized service.

The customer profile establishing unit 104 is configured to perform character tagging according to the analyzed product attributes and the crowd consumption attribute, thereby classifying the crowd and establishing a customer profile, and the customer profile is shown in FIG. 6. It includes, but is not limited to, basic information, growth trajectories, consumer preferences, shopping details, labels, behavioral analysis, etc. for each customer.

The association recommendation unit 105 performs association recommendation of the personalized product based on the customer consumption preference and the previous shopping details in the customer profile, and simultaneously performs the association recommendation of the personalized product coupon based on the above information. For example, in the past shopping details of the customer, it is found that the customer has purchased a brand of smart phone, and the related recommendation unit 105 associates the customer with the holster and film for the brand smart phone according to the shopping details. Chargers and other related products. At the same time, the association recommendation unit 105 also Relevant coupons for these products will be pushed to facilitate further consumer spending.

The coupon verification unit 106 is configured to reduce the amount when the customer collects the coupon and use the relevant coupon to pay the payment, and perform the verification of the used coupon.

The network receiving and transmitting unit 107 is configured to transmit or receive a network signal to provide a smart device 1 network environment. The smart device 1 can communicate with the cloud server 4 or other hardware outside through a network signal. In this embodiment, the smart device 1 can send the cash receipt data such as the final product details, the final consumption total price, the payment method, the small ticket order number, the transaction time, and the product two-dimensional code to the cloud server through the network receiving and transmitting unit 107. 4.

The display screen 108 is a touch screen dual display screen, for example, an X86 motherboard touch screen dual display screen, an ARM (Acorn RISC Machine) touch screen display screen, etc., which are used for confirming the total price of the consumer transaction, the advertisement display, and the card coupon verification. , WeChat payment, Alipay payment, display product QR code and other functions. The customer can also perform a WeChat payment or an Alipay payment by scanning the QR code of the product displayed above the screen of the display screen 108.

Please refer to FIG. 3 , which is a flowchart of implementing the method for associating recommended related products and coupons by the smart device 1 in the embodiment to finally achieve accurate marketing.

In step S301, the smart device 1 is connected between the cash register 2 and the printer 3. The smart device 1 can be connected to at least one cash register 2 and at least one printer 3. The smart device 1 passes through a level shifter or a universal serial bus (Universal Serial Bus, abbreviation: USB) is connected to the cash register 2 and the printer 3.

In step S302, the collecting unit 101 receives the network connection provided by the transmitting unit 107 through the network to collect the cash register data backed up in the cloud server 4. The cash register data includes, but is not limited to, the store number, the cashier, and the customer each time the customer makes a purchase. Basic information, customer consumption details, final consumption total price, payment method, small ticket order number, transaction time and other consumer information.

Step S303, the attribute analyzing unit 103 acquires the cash register data in the cloud server 4 and analyzes the product attribute and the crowd consumption attribute, wherein the product attribute is shown in FIG. 4, and the crowd consumption attribute is displayed as shown in FIG. 5 to help the merchant realize Precision marketing, personalized service.

In step S304, the customer profile establishing unit 104 performs tagging according to the analyzed product attributes and the crowd consumption attribute to classify the crowd and establish a customer profile, and the customer profile is shown in FIG. 6. It includes, but is not limited to, basic information, growth trajectories, consumer preferences, shopping details, labels, behavioral analysis, etc. for each customer.

In step S305, the association recommendation unit 105 performs association recommendation of the personalized product based on the customer consumption preference and the previous shopping details in the customer profile, and simultaneously performs the association recommendation of the personalized product coupon based on the above information. For example, in the past shopping details of the customer, it is found that the customer has purchased a brand of smart phone, and the related recommendation unit 105 associates the customer with the holster and film for the brand smart phone according to the shopping details. Chargers and other related products. At the same time, the association recommendation unit 105 also pushes relevant coupons of these products in order to facilitate further consumption by the customer.

In step S306, the association recommendation unit 105 pushes the associated recommended product and the corresponding coupon to the smart terminal of the customer through the network.

In step S307, after receiving the related related recommended products and the corresponding coupons, the customer may share the coupons or purchase according to their own needs and preferences.

Step S308, when the customer collects the coupon and uses the coupon reduction amount during the purchase, the coupon verification unit 106 performs the payment reduction of the amount and performs the verification of the used coupon, so that the used coupon is in the Used state.

In this embodiment, the step S302 further includes a step, the two-dimensional code generating unit 102 performs analysis according to the cash register data collected by the collecting unit 101, and generates a product two-dimensional code, and sends the cash register data and the product two-dimensional code to the printer. 3 print. The customer scans the product QR code to pay attention to the merchant public number to become a fan of the merchant, can pay attention to the merchant promotion activities for a long time, and can also obtain the electronic bill, product details, total purchase price, payment method, small ticket order number of each purchase, Consumption information such as trading hours.

Please refer to FIG. 4 and FIG. 5 , which are diagrams of product attributes and crowd consumption attributes analyzed by the attribute analysis unit 103 . In Fig. 4, product categories such as category A, category B, category C, and category D are shown. In addition, there are information on the transaction amount, hot product rankings, most popular promotions and store consumption statistics. In Figure 5, the basic information, purchasing power, behavioral characteristics, hobbies, consumption trajectories and consumption preferences of each customer are displayed. The above attribute analysis is an important basis for subsequent follow-up recommendation of goods.

Please refer to FIG. 6 , which is a customer file display diagram for character tagging based on the above attribute analysis. The customer profile in the figure includes basic information, growth trajectories and consumption attributes of each customer. The growth trajectory includes information such as first time attention, public account number, coupon usage, and last purchase time. Its consumer attributes include labels, consumer preferences, spending details and behavioral analysis.

The above described embodiments merely express several embodiments of the present invention, the description of which is more specific and detailed, but It is not to be understood as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of the invention should be determined by the appended claims.

Claims (10)

A smart device is connected to at least one cloud server, wherein the smart device comprises: An acquisition unit, configured to collect cash register data from a cloud server; The attribute analysis unit is configured to acquire cash register data in the cloud server and analyze the commodity attributes and the consumption attributes of the crowd; a customer profile establishing unit for tagging people according to the commodity attributes and crowd consumption attributes analyzed above, thereby classifying the crowd and establishing a customer profile; The association recommendation unit is configured to perform association recommendation of the product and the corresponding coupon according to the customer consumption preference and the previous shopping detail data in the customer profile. The smart device according to claim 1, wherein the cash register data includes a store number, a cashier, a customer purchase details, a customer basic data, a final purchase total price, a payment method, and a small ticket order for each purchase of the customer. No., trading information of trading hours. The smart device of claim 1 wherein said smart device is further coupled to a cash register for collecting cash register data. The smart device of claim 1 wherein said smart device is further coupled to a printer for printing a consumer ticket. The smart device according to claim 1, wherein the smart device further comprises a coupon verification unit for performing verification of the used coupon when the customer pays the credit amount with the coupon. The smart device of claim 1, wherein the smart device further comprises a network receiving and transmitting unit for transmitting and receiving network signals to provide a smart device network environment. A method for associating a recommended item using the smart device of claim 1 , comprising the steps of: Connecting the smart device to a cloud server; Collecting cash register data in the cloud server; Obtain cash register data in the cloud server and analyze the commodity attributes and the consumption attributes of the crowd; According to the above-mentioned analysis of commodity attributes and crowd consumption attributes, the characters are tagged to classify the people and establish customer profiles; Relevant recommendations for products and corresponding coupons are based on customer spending preferences and past shopping details in the customer profile. The method for associating recommended products according to claim 7, wherein the smart device is further connected to at least one cash register and at least one printer, and the smart device is connected to the cash register and the printer through a level shifter. The method for associating recommended products according to claim 7, wherein the cash register data includes a store number, a cashier, a customer purchase details, a customer basic data, a final consumption total price, a payment method, and a payment method of each time the customer makes a purchase. Small ticket order number, transaction time consumption information. The method for associating recommended products according to claim 7, further comprising the step of: The write-off of the used coupon is made when the customer pays the relief amount with the coupon.

Images