CN108537604A - Offline commodity positioning method, system and retail store server - Google Patents

Abstract

The present invention provides an offline commodity positioning method, system, retail store server, and computer storage medium. The offline commodity positioning method includes: pre-storing the positioning information of each commodity in the offline retail store; receiving the location information from the client With regard to the search instruction of the desired commodity, the positioning information of the desired commodity is obtained; according to the positioning information, a demanded commodity guide is generated and sent to the client. The offline retail store using the method of the present invention can realize the online positioning of offline commodities, so that customers can easily find the placement position of their own commodities in the offline retail stores, and increase the shopping experience of customers.

Description

Offline commodity positioning method, system and retail store server

technical field

The present invention relates to the field of new retail technology, in particular, to an offline commodity positioning method, system, retail store server and computer storage medium.

Background technique

In daily life, in some traditional retail stores, including supermarkets and shopping malls, such as China Resources Vanguard, Wal-Mart, and CP Lotus, when customers purchase goods, they must arrange the areas according to the categories pre-designed by the merchants, and along the The route of the shopping guide is used to find the products that need to be purchased, so it is inevitable that customers will need to spend a lot of time looking for the products they need, and there may even be cases where they cannot be found.

In order to solve such problems, some traditional retail stores will increase the number of shopping guides in the supermarket and increase the operating cost of the supermarket. And when customers find the products they need, they can't find products suitable for them from many similar products. For example, when a customer needs to buy shampoo, there are 100 kinds of shampoos on the shelves of retail stores. At this time, it is difficult for the customer to choose Make the right purchase decision.

However, in some online supermarkets based on e-commerce, because customers cannot observe the actual products and experience the products offline, it is difficult for customers to distinguish the authenticity of the products, which leads to the prevalence of counterfeit and shoddy products in e-commerce, and the return rate of products is very high. The process of customer returns is also very troublesome. The frequent flow of goods in e-commerce mainly depends on logistics express, but nowadays the cost of logistics express is getting higher and higher, and e-commerce is also restricted.

In general, in traditional offline retail supermarkets, it is difficult for customers to find the location of the products they need, and it is also difficult to find the products that suit them.

Contents of the invention

In view of the above problems, the present invention provides an offline commodity positioning method, system, retail store server and computer storage medium, so as to make traditional offline retail stores online, so that customers can easily find suitable products in offline retail stores. The placement of goods increases the shopping experience of customers.

In order to achieve the above object, the present invention adopts the following technical solutions:

An offline commodity positioning method, applied to offline retail stores, including:

Pre-store the positioning information of each product in the offline retail store including the placement position;

Receiving a search instruction from a client about a desired commodity, and obtaining location information of the desired commodity;

Generate a demand commodity guide according to the positioning information, and send it to the client.

Preferably, the method also includes:

When the commodity is settled, calculate and store the balance information of the commodity;

When receiving a search instruction about a desired commodity from a client, acquire location information and remaining quantity information of the desired commodity, and send them to the client.

Preferably, the method also includes:

A product list of settlement products is obtained, and the product list is sent to the client.

Preferably, the method also includes:

Generate an electronic ticket and send it to the client.

Preferably, the "receiving a search instruction from a client about a desired commodity, and acquiring the location information of the desired commodity" includes:

Receiving a search instruction about the desired commodity from the client, and judging whether there is positioning information of the desired commodity;

When there is positioning information of the desired commodity, acquiring the positioning information of the desired commodity;

When there is no positioning information of the desired product, send a prompt to the client;

Acquiring product information of the same type as the pre-stored desired product in the retail store, generating recommendation information and sending it to the client.

Preferably, the method also includes:

Receive and store product evaluation information;

When receiving a search instruction about a desired commodity from a client, acquire location information and evaluation information of the desired commodity, and send them to the client.

Preferably, the demand commodity guide is a text message guide, a picture route guide or a real-time route guide.

The present invention also provides a retail store server, including a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the retail store server to perform the offline commodity positioning method.

The present invention also provides an offline commodity positioning system, including a retail store server and a client,

The retail store server pre-stores the positioning information of each commodity in the offline retail store including the placement position;

The client sends a search instruction about the desired commodity;

The retail store server receives the search instruction and obtains the positioning information of the desired product;

The retail store server generates a demand commodity guide according to the positioning information, and sends it to the client;

The client receives the demand commodity guide, so as to quickly find the desired commodity according to the demand commodity guide.

The present invention also provides a computer storage medium storing the computer program used by the retail store server.

According to an offline product positioning method provided by the present invention, which is applied to an offline retail store, it includes: pre-storing the positioning information of each product in the offline retail store including the placement position; receiving a search command about the desired product from the client, Obtain the positioning information of the required product; generate a demanded product guide based on the positioning information, and send it to the client. It can be seen that the offline retail store using the method of the present invention can realize the online positioning of offline commodities, so that customers can easily find a suitable location for their own commodities in the offline retail store, and increase the shopping experience of customers.

In order to make the above-mentioned objects, features and advantages of the present invention more comprehensible, preferred embodiments will be described in detail below together with the accompanying drawings.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and thus should be considered as limiting the scope of the invention.

FIG. 1 is a schematic flow chart of an offline product positioning method provided in Embodiment 1 of the present invention;

Fig. 2 is a schematic flow chart of an offline commodity positioning method provided by Embodiment 2 of the present invention;

FIG. 3 is a schematic flow chart of an offline product positioning method provided in Embodiment 3 of the present invention;

Fig. 4 is a schematic flow chart of an offline product positioning method provided in Embodiment 4 of the present invention;

FIG. 5 is a schematic flow chart of an offline product positioning method provided in Embodiment 5 of the present invention;

Fig. 6 is a schematic structural diagram of an offline commodity positioning system provided by the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

Example 1

Fig. 1 is a schematic flow chart of an offline commodity positioning method provided in Embodiment 1 of the present invention, the method comprising:

Step S11: Store in advance the positioning information including the placement position of each product in the offline retail store.

In the embodiment of the present invention, a computer device may be used to pre-store the location of the offline retail store, for example, a customized computer device and a customized server device may be used. At the same time, it can also store the number of products on the shelf and the evaluation of other customers after using the products. The acquisition of the above-mentioned quantity of goods placed can be realized by installing sensors. For example, electronic shelves equipped with sensors can be used to place goods, and software can be used to monitor the quantity of goods on the shelves. For example, when a product is picked up by a customer, the electronic shelf can send information to the retail store server to update the quantity of the product. At the same time, smart warehouses with sensors can also be used, so that the goods and the quantity of goods in the entire offline retail store can be monitored, so that goods can be purchased in time to achieve zero shortage of goods.

Wherein, while generating the positioning information of the commodity, a specific electronic model of the retail store can also be generated in combination with the layout of the retail store, so as to guide the user to find the path of the desired commodity.

Among them, there can also be multiple computer devices to form a storage network to pre-store various information of the retail store. For example, two storage servers can store and manage data: the account server and the commodity server. The account server is used for Manage customers' consumption information, obtain and store the product list of each customer's shopping, so as to provide analysis data for product recommendations, and store customer evaluations of products so that merchants can strategically supplement each product; the product server is the storage The location, quantity and parameter information of each product in the retail store.

Of course, a high-performance data server can also be used to simultaneously store customer account information, evaluation information, and retail store product information, etc., which is not limited here.

Step S12: Receive a search instruction about the desired commodity from the client, and obtain the location information of the desired commodity.

In the embodiment of the present invention, a series of computer equipment can be used, such as customized computer equipment and customized server equipment, etc., to connect with the customer's client, receive the search instruction sent by the customer for the desired product, and search for the product in the offline retail store. Obtain the positioning information of the required product. For example, a customer can use an application program connected to an offline retail store on a mobile phone to send a search command for A-brand shower gel, and the search module in the server of the offline retail store receives the search command, and uses an algorithm or an application program to search for A brand shower gel in the database. Information about brand body wash.

Among them, the customer can use the client to send an instruction to search for the required product before going to the offline retail store. If the customer does not search for the required product, it means that the offline retail store does not have the required product, thereby saving customers' travel Shopping cost, increase shopping experience. Of course, the client can also be interconnected with multiple offline retail stores to search for the required products and find the optimal purchase plan, which is not limited here.

Step S13: Generate a demand commodity guide according to the positioning information, and send it to the client.

In the embodiment of the present invention, a series of computer equipment can also be used, such as customized computer equipment and customized server equipment, etc., using the positioning information of the commodity combined with the electronic model of the retail store to generate a demand commodity guide, send it to the client, and specifically instruct the customer How to find products in demand. For example, a textual guide for the desired product can be generated and sent to the client, specifically instructing the customer to go up to the second floor of the retail store, turn left at the entrance on the second floor, and look for the tenth position on the first floor of the third shelf. The specific instructions can also be combined with the navigation method to display the route map in real time, which is not limited here.

Wherein, the above-mentioned demand commodity guide is a text information indication, a picture route indication or a real-time route indication.

In this embodiment, the commodity guide can be a text information indication generated by the server of the retail store using an algorithm. For example, the text information indication of brand A toothpaste can be: the daily necessities area on the east side of the second floor of the retail store, the fourth floor of the third shelf, and the brand A marking area In the middle, such text information is not limited here. It can also be a picture route indication generated by the retail store server using an algorithm or software in combination with the above-mentioned electronic model of the retail store. In addition, it can also be combined with a client, such as a navigation function on a mobile phone client, to provide real-time route instructions, making it easier for customers to find commodities.

In this embodiment, it is also possible to use the spatial layout of the retail store to model before storing the positioning information of each product in the offline retail store in advance, and the electronic model of the retail store can clearly reflect the retail store. The spatial distribution of various types of shelves and the area of various commodities on the shelves. Among them, the placement area of a product in the shelf can also be divided into small areas of each brand or model for marking, and correspondingly mark the small area in the actual shelf, so as to make the generated product guide more detailed and enable customers to find Commodities are easier. For example, a scaled-down electronic model can be established for a retail store, which can be at a ratio of 100:1, and the coordinates of various shelves and commodities can be marked on the model.

Example 2

Fig. 2 is a schematic flow chart of a method for locating an offline commodity provided in Embodiment 2 of the present invention, the method comprising:

Step S21: Store in advance the positioning information including the placement position of each product in the offline retail store.

This step is the same as step S11 and will not be repeated here.

Step S22: Receive a search instruction about the desired commodity from the client, and acquire location information of the desired commodity.

This step is the same as step S12 and will not be repeated here.

Step S23: Generate a demand commodity guide according to the positioning information, and send it to the client.

This step is the same as step S13 and will not be repeated here.

Step S24: When the commodity is settled, calculate and store the remaining quantity information of the commodity.

Step S25: When receiving a search instruction about the desired commodity from the client, obtain the location information and remaining quantity information of the desired commodity, and send them to the client.

In the embodiment of the present invention, after obtaining the location information of the desired commodity, the remaining quantity of the commodity on the shelf can also be sent to the client to remind the customer of the remaining quantity of the commodity on the shelf. The commodity shelf balance information can be pre-stored in the retail store server, and the algorithm or application program is used to update the commodity shelf surplus information in the retail store server at the time of settlement. In addition, the remaining information can also be obtained in real time using sensors, for example, using electronic shelves with monitoring sensors, using software for monitoring, when the product is picked up by the customer, it can send information to the server of the retail store to update the shelf of the product quantity.

Wherein, the above-mentioned balance information may also be included in the positioning information or the commodity guide and sent from the retail store server to the client together, which is not limited here.

Example 3

Fig. 3 is a schematic flowchart of a method for locating offline commodities provided in Embodiment 3 of the present invention, the method comprising:

Step S31: Store in advance the positioning information including the placement position of each product in the offline retail store.

This step is the same as step S11 and will not be repeated here.

Step S32: Receive a search instruction about the desired commodity from the client, and acquire location information of the desired commodity.

This step is the same as step S12 and will not be repeated here.

Step S33: Generate a demand commodity guide according to the positioning information, and send it to the client.

This step is the same as step S13 and will not be repeated here.

Step S34: Obtain the product list of the settlement product, and send the product list to the client.

In the embodiment of the present invention, after the customer settles the purchase of goods, the retail store server can also send the customer's product list to the customer's client, and can also save the product list in the computer device, for example, it can be stored in the storage The server is specially used to store the customer's consumption information. The product list can be used to recommend products to the customer. It can also be a database server to record the sales of the products. For example, the product list is used to update the database service. Offline retail stores can replenish supplies in a timely manner.

At the same time, in the embodiment of the present invention, the product list is sent to the customer's client terminal, so that the customer can record his own consumption information, analyze his own shopping behavior, and improve the shopping experience. Customers can also use mobile terminals to make post-use evaluations on some of the products in the product list, making a contribution to rational consumption.

Step S35: Generate an electronic bill and send it to the client.

In the embodiment of the present invention, online after-sales service can also be provided to customers in offline retail stores, and electronic bills can be generated according to the customer's consumption amount in the product list. For example, electronic invoices can be generated, which can solve the problem of difficult invoicing. At the same time, other service coupons for retail stores can be developed for customers based on the customer's consumption amount. For example, when the consumption amount on the customer's product list is greater than the preset threshold amount, an electronic ticket for the parking lot of the retail store can be developed for the customer. .

Example 4

Fig. 4 is a schematic flowchart of a method for locating an offline product provided in Embodiment 4 of the present invention, the method comprising:

Step S41: Store in advance the positioning information including the placement position of each product in the offline retail store.

This step is the same as step S11 and will not be repeated here.

Step S42: Receive a search instruction about the desired commodity from the client, and determine whether there is positioning information of the desired commodity.

Step S43: When there is positioning information of the desired commodity, acquire the positioning information of the desired commodity.

Step S44: When there is no positioning information of the desired product, send a prompt to the client.

In the embodiment of the present invention, after the customer uses the client to send a search command, if the retail store server does not find the location information of the product, it means that the retail store does not have the product, or the product is out of stock. The store server can send a prompt to the client of the customer, wherein the failure prompt can be a text prompt such as "No such product", which is not limited here.

Step S45: Obtain product information of the same type as the pre-stored demand product in the retail store, generate recommendation information and send it to the client.

In the embodiment of the present invention, the retail store server can provide customers with some product recommendations, and when the customer fails to locate the desired product, it can perform an algorithm analysis on the desired product, obtain similar products in the retail store, generate recommendation information and send it to the customer's client . At the same time, the retail store server can also use software or algorithms to obtain the customer's product list after the customer settles the product, use the mapping algorithm to obtain similar products on the product list, and then select the product with the highest sales volume, or combine the evaluation of the product, Sent to the customer's client for recommendation.

Example 5

Fig. 5 is a schematic flowchart of a method for locating an offline product provided in Embodiment 5 of the present invention, the method comprising:

Step S51: Store in advance the positioning information including the placement position of each commodity in the offline retail store.

This step is the same as step S11 and will not be repeated here.

Step S52: Receive a search instruction about the desired commodity from the client, and acquire location information of the desired commodity.

This step is the same as step S12 and will not be repeated here.

Step S53: Generate a demand commodity guide according to the positioning information, and send it to the client.

This step is the same as step S13 and will not be repeated here.

Step S54: Receive and store the evaluation information of the commodity.

Step S55: When receiving a search instruction about the desired commodity from the client, obtain the location information and evaluation information of the desired commodity, and send them to the client.

In the embodiment of the present invention, the customer uses the client to send the evaluation information of the product to the retail store server. For example, the customer can use the mobile phone and the client to connect to the retail store server and send the post-use evaluation of the A brand shower gel to the retail store. Save in store.

Among them, when a customer uses the client to send a search command to the retail store server, the retail store server can also send other customers' evaluations of the product to the client to provide reference information for the current customer while returning the positioning information and commodity guidance. .

Wherein, the above-mentioned evaluation information may also be included in the positioning information or the commodity guide and sent from the retail store server to the client together, which is not limited here.

Wherein, the customer's evaluation information on the product can be stored in the account server, and the account server can also be used to manage the customer's consumption information, obtain and store the customer's list of products for each shopping, so that the merchant can use the evaluation information and consumption information to make a positive response to the customer. Commodities are strategically replenished.

This embodiment also provides a retail store server, including a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the retail store server to execute the offline commodity positioning method in Embodiments 1 to 5.

This embodiment also provides an offline commodity positioning system, as shown in FIG. 6 .

The offline commodity positioning system 600 includes a retail store server 610 and a client 620,

The retail store server 610 pre-stores positioning information including the placement position of each commodity in the offline retail store;

The client 620 sends a search instruction about the desired commodity;

The retail store server 610 receives the search instruction and obtains the location information of the desired commodity;

The retail store server 610 generates a demand commodity guide according to the positioning information, and sends it to the client 620;

The client 620 receives the demand commodity guide, so as to quickly find the desired commodity according to the demand commodity guide.

For a more detailed working process of the retail store server and the client, reference may be made to the corresponding content disclosed in the foregoing embodiments, which will not be described in detail here.

This embodiment also provides a computer storage medium for storing the computer program used in the retail store server.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may also be implemented in other ways. The device embodiments described above are only illustrative. For example, the flowcharts and structural diagrams in the accompanying drawings show the possible implementation architecture and functions of devices, methods and computer program products according to multiple embodiments of the present invention. and operation. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or part of code that includes one or more Executable instructions. It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It is also to be noted that each block of the block diagrams and/or flow diagrams, and combinations of blocks in the block diagrams and/or flow diagrams, can be implemented by a dedicated hardware-based system that performs the specified function or action may be implemented, or may be implemented by a combination of special purpose hardware and computer instructions.

In addition, each functional module or unit in each embodiment of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (10)

1. An offline commodity positioning method, applied to offline retail stores, is characterized in that, comprising: Pre-store the positioning information of each product in the offline retail store including the placement position; Receiving a search instruction from a client about a desired commodity, and obtaining location information of the desired commodity; Generate a demand commodity guide according to the positioning information, and send it to the client. 2. The method according to claim 1, further comprising: When the commodity is settled, calculate and store the balance information of the commodity; When receiving a search instruction about a desired commodity from a client, acquire location information and remaining quantity information of the desired commodity, and send them to the client. 3. The method according to claim 1, further comprising: A product list of settlement products is obtained, and the product list is sent to the client. 4. The method according to claim 1, further comprising: Generate an electronic ticket and send it to the client. 5. The method according to claim 1, wherein said "receiving a search instruction from a client about a desired commodity, and obtaining the positioning information of said desired commodity" comprises: Receiving a search instruction about the desired commodity from the client, and judging whether there is positioning information of the desired commodity; When there is positioning information of the desired commodity, acquiring the positioning information of the desired commodity; When there is no positioning information of the desired product, send a prompt to the client; Acquiring product information of the same type as the pre-stored desired product in the retail store, generating recommendation information and sending it to the client. 6. The method according to claim 1, further comprising: Receive and store product evaluation information; When receiving a search instruction about a desired commodity from a client, acquire location information and evaluation information of the desired commodity, and send them to the client. 7. The method according to claim 1, wherein the demand commodity guide is a text information guide, a picture route guide or a real-time route guide. 8. A retail store server, characterized in that it includes a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to enable the retail store server to perform the process described in claims 1 to 7. The offline commodity positioning method described in any one. 9. An offline commodity positioning system, characterized in that it includes a retail store server and a client, The retail store server pre-stores the positioning information of each commodity in the offline retail store including the placement position; The client sends a search instruction about the desired commodity; The retail store server receives the search instruction and obtains the positioning information of the desired commodity; The retail store server generates a demand commodity guide according to the positioning information, and sends it to the client; The client receives the demand commodity guide, so as to quickly find the desired commodity according to the demand commodity guide. 10. A computer storage medium, characterized in that it stores the computer program used by the retail store server according to claim 8.