Client purchase demand-based chain operation store classification terminal system

Abstract

The invention relates to the technical field of chain store operation, in particular to a chain operation store classification terminal system based on customer purchase demands, the chain operation store classification terminal system comprises module division, data arrangement and information security, and the module division comprises customer analysis, commodity classification, store layout and inventory management. According to data arrangement, a database is established, an analysis tool is adopted to analyze various kinds of data, and information security comprises identity verification, authority management, data encryption and security audit. According to different types of demands of customers, the sales volume of commodities is counted, and the order volume increase and decrease or the on-shelf and off-shelf adjustment of a single commodity is realized, so that the sales volume of the commodities can be improved to the greatest extent, the sales volume of the regional stores is improved, and the sales volume of the regional stores is improved through the purchase volume of the commodities, the suggestions of the customers for increasing and decreasing the commodities and the demand conditions. Therefore, real-time adjustment of commodities can be carried out, so that the market occupancy ratio of the store in the area is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of chain store operation, and specifically relates to a classification terminal system for chain operation stores based on customer purchase needs. Background Art

[0002] A chain operation store refers to a retail or service store that operates in accordance with a unified brand image, business model, and service standard through franchising or direct operation. Chain operation stores usually use a unified brand logo, store design, and advertising to enhance brand awareness and reputation. Chain operation stores are managed according to the standardized operation process formulated by the headquarters to ensure the consistency of product quality and service level.

[0003] After retrieval, based on the authorized announcement number CN111881787A, it discloses a method and system for identifying illegal business operations of stores based on a camera, including obtaining at least one frame of monitoring picture captured by the camera, where the monitoring picture contains images of at least one monitored store, and then obtaining the store template data corresponding to the pre-set monitored store. The store template data includes at least the template image of the monitored store and its global monitoring area. According to the template image and the global monitoring area, the global monitoring area of the monitored store in the monitoring picture is obtained, and it is judged whether the monitored store has illegal business operations according to the image of the global monitoring area in the monitoring picture, and the first judgment result of the monitored store is output. Since the monitoring pictures of the stores in the camera are obtained through the monitoring cameras deployed in the sub-districts and towns, real-time monitoring and warning of the illegal business operations of each store are realized, and the supervision efficiency is improved.

[0004] Currently, the opening locations of chain stores are distributed in various locations in the urban area. However, due to the different living populations in each location, the purchase and sale of goods by chain stores also need to be appropriately differentiated. For example, the population active near old residential areas is mainly middle-aged and elderly people, the population active near school districts is mainly students or young children, and the population active in entertainment areas is mainly young people or office workers. Therefore, if the goods of chain operation stores are not reasonably classified and purchased differently, it is very easy to occur the situation that the goods do not match the population, especially some daily necessities and foods, which will result in long-term slow sales. Summary of the Invention

[0005] Aiming at the deficiencies in the prior art, the present invention provides a classification terminal system for chain operation stores based on customer purchase needs.

[0006] To achieve the above object, the present invention provides the following technical solution: A chain store classification terminal system based on customer purchase needs, the chain store classification terminal system includes module division, data collation, and information security. Module division further includes customer analysis, product classification, store layout, and inventory management. Data collation is achieved by establishing a database and using analysis tools to analyze various types of data. Information security includes identity verification, permission management, data encryption, and security auditing.

[0007] Further in detail, the classification of the said customer analysis is as follows:

[0008] S1. Functional requirements, which include quality requirements, performance requirements, reliability requirements, and security requirements;

[0009] S2. Emotional requirements, which include brand identity requirements, self-expression requirements, and social recognition requirements;

[0010] S3. Economic requirements, which include price requirements, cost-performance requirements, and cost-benefit requirements;

[0011] S4. Convenience requirements, which include purchase convenience requirements, usage convenience requirements, and after-sales service requirements;

[0012] S5. Innovation requirements, which include technology requirements, design requirements, and environmental protection requirements.

[0013] Further in detail, according to the requirement categories recorded in S1 and S3, as the main customer requirement items, among which:

[0014] Functional requirements also include satisfaction score, net promoter score, function importance score, function satisfaction gap analysis, and function implementation rate;

[0015] Economic requirements also include price sensitivity index, cost-performance score, willingness to pay, price satisfaction score, price elasticity, and cost-benefit analysis.

[0016] Further in detail, the requirement statistics in S1 and S3 can be collected through paper questionnaires or APP mini-program questionnaires.

[0017] Further in detail, the statistical steps of customer analysis are as follows:

[0018] The first step: Based on the system design, a reasonable cashier interface is designed, and the interface includes member purchase login, non-member purchase login, and administrator login;

[0019] The second step: Through the purchase situation, the customer requirements can be classified, and a product requirement supplement interface is designed. According to the customer requirements, the name information of the required products can be input, and based on the number of times the information appears, it can be determined whether the next purchase needs to include such products;

[0020] Step 3: Based on the number of times a customer has purchased existing products and the sales volume of the currently sold products, increase or decrease the purchase quantity of the existing products for the next time or take them off the shelves.

[0021] Step 4: Design a mobile APP connected to the terminal. After registering as a member on the terminal, the member can log in to the APP mini-program synchronously to enjoy member privileges. The terminal system classifies customers based on the real information registered by the members, including two major categories: age group and gender.

[0022] More specifically, the age group segments in the fourth step include:

[0023] A1. Under 18 years old, mainly students and young children in this age group;

[0024] A2. 18 - 35 years old, mainly college students or young office workers in this age group;

[0025] A3. 35 - 50 years old, mainly married people or middle-aged people in this age group;

[0026] A4. Over 50 years old, mainly middle-aged and elderly people or retirees in this age group.

[0027] More specifically, through the division of A1 - A4, conduct demand analysis based on the main age group of nearby members, and focus on the intervals with a larger number of people in the age group for the types of products to be purchased.

[0028] More specifically, the product classification includes:

[0029] B1. Product category, usually divided according to the function and use of the product;

[0030] B2. Brand: Classified according to the brand of the product;

[0031] B3. Price range: Classified according to the price of the product;

[0032] B4. Target customer group: Classified according to the target customer group of the product;

[0033] B5. Usage scenario: Classified according to the usage scenario of the product.

[0034] More specifically, the store layout includes:

[0035] C1. Geographical location: Classified according to the geographical location where the store is located;

[0036] C2. Store scale: Classified according to the area of the store, the number of employees, and the sales volume indicators;

[0037] C3. Business type: Classified according to the main business type of the store.

[0038] 10. A classification terminal system for chain operation stores based on customer purchase needs according to claim 9, characterized in that: the inventory management places orders based on the quantity of goods demanded by customers, and it includes:

[0039] D1. Time interval statistics, according to the weekly, monthly, and quarterly sales situations of goods, increase or decrease the order quantity by a certain quantity or proportion;

[0040] D2. Total sales volume statistics, set a target sales standard volume. For goods with a volume lower than the standard, reduce the order quantity by a certain quantity or proportion. Conversely, for goods that meet or exceed the sales volume, increase the order quantity

[0041] The beneficial effects of the present invention are reflected in: 1. Through the classification of the terminal system, it has three major parts: module division, data sorting, and information security. Among them, the module division is used to analyze and process the purchase needs records of customers. In the customer analysis of the module division, the sales volume of goods can be statistically analyzed according to the different types of customer needs, and the increase or decrease of the order quantity or the adjustment of the shelf placement of a single good can be realized, which can maximize the sales volume of goods, thereby increasing the sales volume of stores in this area. Through the purchase quantity of goods and the suggestions of customers to increase or decrease goods, real-time adjustment of goods can be carried out according to the demand situation, thereby increasing the market share of stores in this area;

[0042] 2. As described in 1, when statistically analyzing the sales of goods, customers are divided into two types: members and non-members. After members register, they can synchronize with the mobile APP. They can not only enjoy member privileges but also connect with the terminal system to conduct questionnaires or provide improvement opinions. The terminal system can further classify the real information of registered members, enabling the stores to better meet the needs of active members in this area. The classification also includes two types: age group and gender. Through the most basic division, the adjustment of the types of goods sold in the store can be obtained faster and more efficiently, avoiding the situation of decreased sales volume or slow-moving of goods, ensuring that the stores can be updated synchronously according to customer needs, and increasing the survival time of stores in this area. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to actual scale.

[0044] Figure 1 It is a schematic diagram of the classification and module division of a classification terminal system for chain operation stores based on customer purchase needs of the present invention;

[0045] Figure 2 This is a schematic diagram of customer analysis and classification for a chain store classification terminal system based on customer purchase needs of the present invention. Specific implementation manners

[0046] Next, embodiments of the technical solution of the present invention will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, so they are only examples and cannot be used to limit the protection scope of the present invention.

[0047] It should be noted that unless otherwise specified, the technical terms or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art to which the present invention belongs.

[0048] As Figure 1 - Figure 2 shown, a chain store classification terminal system based on customer purchase needs, the chain store classification terminal system includes module division, data arrangement, and information security. Module division further includes customer analysis, product classification, store layout, and inventory management. Data arrangement is achieved by establishing a database and using analysis tools to analyze various types of data. Information security includes identity authentication, permission management, data encryption, and security auditing;

[0049] Identity authentication: Implement user identity authentication, such as username and password, OAuth, SSO, etc.;

[0050] Permission management: Implement fine-grained permission management to ensure that different users can only access the functions and data they are authorized to;

[0051] Data encryption: Encrypt sensitive data for storage and transmission to ensure data security;

[0052] Security auditing: Record the operation logs of users for easy tracking and auditing.

[0053] The classification of customer analysis is as follows:

[0054] S1. Functional requirements, which include quality requirements, performance requirements, reliability requirements, and security requirements;

[0055] S2. Emotional requirements, which include brand identity requirements, self-expression requirements, and social recognition requirements;

[0056] S3. Economic requirements, which include price requirements, cost performance requirements, and cost-benefit requirements;

[0057] S4. Convenience requirements, which include purchase convenience requirements, usage convenience requirements, and after-sales service requirements;

[0058] S5. Innovation requirements, which include technology requirements, design requirements, and environmental protection requirements.

[0059] According to the demand categories recorded in S1 and S3, as the main customer demand items, where:

[0060] Functional requirements also include satisfaction score, Net Promoter Score, functional importance score, functional satisfaction gap analysis, and functional achievement rate;

[0061] Satisfaction score: Collect the satisfaction score of customers for the functional requirements of products or services;

[0062] Net Promoter Score: The Net Promoter Score is an indicator to measure customer satisfaction and loyalty, calculated by asking customers whether they would recommend the product or service to others;

[0063] Functional importance score: Customers rate the importance of different functional requirements;

[0064] Functional satisfaction gap analysis: Calculate the satisfaction gap by comparing the expected value and the actual experience value of customers for a certain function;

[0065] Functional achievement rate: Evaluate the extent to which products or services meet the functional requirements of customers.

[0066] Economic requirements also include price sensitivity index, cost performance score, willingness to pay, price satisfaction score, price elasticity, and cost-benefit analysis;

[0067] Price sensitivity index: Understand the sensitivity of customers to price changes;

[0068] Cost performance score: Customers rate the cost performance of products or services;

[0069] Willingness to pay: Understand the highest price that customers are willing to pay for a certain product or service;

[0070] Price satisfaction score: Customers rate the price satisfaction of products or services;

[0071] Price elasticity: Calculate the impact of price changes on sales volume through market data analysis;

[0072] Cost-benefit analysis: Evaluate the relationship between the economic benefits obtained by customers after purchasing products or services and the costs they pay;

[0073] The demand statistics in S1 and S3 can collect demand information through paper questionnaires or APP mini-program questionnaires;

[0074] The price sensitivity index in S3 is a relatively important link in the customer purchase demand process, which is mainly based on the change of price elasticity. The price elasticity calculation formula is as follows:

[0075]

[0076] Among them: Q is the demand quantity, and P is the price.

[0077] The statistical steps of customer analysis are as follows:

[0078] The first step: Based on the system design, a reasonable cash register interface is designed, and the interface includes member purchase login, non-member purchase login, and administrator login;

[0079] The second step: The customer needs can be classified according to the purchase situation, and a commodity demand supplement interface is designed. According to the customer needs, the name information of the required commodities can be input, and whether to purchase this type of commodity for the next purchase can be determined according to the number of times the information appears;

[0080] Its formula is:

[0081]

[0082] Among them: n represents the number of trials;

[0083] k represents the number of successes;

[0084] x represents the probability of success in each trial;

[0085] C(n, k) is the combination number, which represents the number of ways to select k successes from n trials, and its calculation is as follows:

[0086]

[0087] The third step: According to the number of times the customer has purchased the existing commodities and the sales volume of the currently sold commodities, increase or decrease the purchase quantity of the existing commodities for the next time or take them off the shelf;

[0088] The fourth step: Design a mobile APP connected to the terminal. After registering as a member on the terminal, the user can synchronously log in to the APP applet to enjoy member privileges. The terminal system classifies customers according to the real information registered by the members, including two major categories: age group and gender.

[0089] The age group segments in the fourth step include:

[0090] A1. Under 18 years old, this age group is mainly composed of students and young children;

[0091] A2. 18 - 35 years old, this age group is mainly composed of college students or young office workers;

[0092] A3. 35 - 50 years old, this age group is mainly composed of married people or middle-aged people;

[0093] A4. Over 50 years old, this age group is mainly composed of middle-aged and elderly people or retirees;

[0094] Through the division of A1 - A4, conduct a demand analysis based on the main age groups of nearby members, and focus on the intervals with a larger number of people in the age group when determining the types of goods to be stocked;

[0095] Record the previous merchandise sales situation as the expected value of the current merchandise sales, and use the result of the current merchandise sales as the observed value. The details are as follows:

[0096]

[0097] Among them: P 2 is the chi - square value;

[0098] t is the observed value;

[0099] s is the expected value;

[0100] Σ represents the sum of all observed values;

[0101] The chi - square test measures the degree of deviation between the actual observed values and the theoretically inferred values of a statistical sample. The degree of deviation between the actual observed values and the theoretically inferred values determines the size of the chi - square value. The larger the chi - square value, the less consistent; the smaller the deviation, the smaller the chi - square value, and the more consistent it is. When the values are exactly equal, the chi - square value is 0, indicating a perfect match between the theoretical and actual values.

[0102] Merchandise classification includes:

[0103] B1. Product category, usually divided according to the functions and uses of the merchandise;

[0104] B2. Brand: Classified according to the brand of the merchandise;

[0105] B3. Price range: Classified according to the price of the merchandise;

[0106] B4. Target customer group: Classified according to the target customer group of the merchandise;

[0107] B5. Usage scenario: Classified according to the usage scenario of the merchandise.

[0108] Store layout includes:

[0109] C1. Geographical location: Classified according to the geographical location where the store is located;

[0110] C2. Store size: Classified according to indicators such as the store area, number of employees, and sales volume;

[0111] C3. Business type: Classified according to the main business type of the store.

[0112] Inventory management is based on the quantity of goods demanded by customers for ordering, and it includes:

[0113] D1. Time interval statistics: Based on the weekly, monthly, and quarterly sales of goods, increase or decrease the order quantity by a certain amount or proportion.

[0114] D2. Total sales statistics: Set a target sales standard quantity. For goods with a quantity lower than the standard, reduce the order quantity by a certain amount or proportion; conversely, for goods that meet or exceed the sales volume, increase the order quantity.

[0115] The main advantages of the above solutions are as follows: By classifying the terminal system, it has three major parts: module division, data sorting, and information security. Among them, through module division, the purchase demand records of customers are analyzed and processed. In the customer analysis of module division, the sales volume of goods can be counted according to the different types of customer needs, and the increase or decrease of the order quantity or the adjustment of putting on or taking off the shelves of a single product can be realized, which can maximize the sales volume of goods, thereby increasing the sales of stores in this area. Through the purchase volume of goods and the suggestions of customers to increase or decrease goods, real-time adjustment of goods can be carried out according to the demand situation, thereby increasing the market share of the store in this area.

[0116] Finally, it should be noted that: The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: They can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered by the scope of the claims and the description of the present invention.

Claims

1. A chain store classification terminal system based on customer purchase needs, characterized in that: The chain operation store classification terminal system includes module division, data collation, and information security. Module division includes customer analysis, product classification, store layout, and inventory management. Data collation is achieved by establishing a database and using analysis tools to analyze various types of data. Information security includes identity authentication, permission management, data encryption, and security auditing.

2. The classification terminal system for chain operation stores based on customer purchase needs according to claim 1, characterized in that: The classification of the said customer analysis is as follows: S1. Functional requirements, which include quality requirements, performance requirements, reliability requirements, and security requirements; S2. Emotional requirements, which include brand identity requirements, self-expression requirements, and social recognition requirements; S3. Economic requirements, which include price requirements, cost-performance requirements, and cost-benefit requirements; S4. Convenience requirements, which include purchase convenience requirements, usage convenience requirements, and after-sales service requirements; S5. Innovation requirements, which include technology requirements, design requirements, and environmental protection requirements.

3. The classification terminal system for chain operation stores based on customer purchase needs according to claim 2, wherein: According to the requirement categories recorded in S1 and S3, as the main customer requirement items, among which: Functional requirements also include satisfaction score, net promoter score, function importance score, function satisfaction gap analysis, and function realization rate; Economic requirements also include price sensitivity index, cost-performance score, willingness to pay, price satisfaction score, price elasticity, and cost-benefit analysis.

4. The chain store classification terminal system based on customer purchase needs according to claim 3, characterized in that: The requirement statistics in S1 and S3 are collected through paper questionnaires or APP mini-program questionnaires.

5. A classification terminal system for chain operation stores based on customer purchase needs according to any one of claims 1-4, characterized in that: The statistical steps of customer analysis are as follows: The first step: Based on the system design, a reasonable cashier interface is designed, and the interface includes member purchase login, non-member purchase login, and administrator login; The second step: Classify customer requirements according to the purchase situation, and design a product requirement supplement interface. According to customer requirements, input the name information of the required products, and determine whether to purchase such products for the next purchase based on the number of times the information appears; The third step: Increase or decrease the purchase quantity or remove from the shelves of existing products for the next purchase according to the number of times customers have purchased existing products and the sales volume of current sold products; The fourth step: Design a mobile APP connected to the terminal. After registering as a member on the terminal, log in to the APP mini-program synchronously to enjoy member privileges. The terminal system classifies customers based on the real information registered by members, including two major categories: age group and gender.

6. The classification terminal system of chain store based on customer purchase demand according to claim 5, characterized in that: The age group segments in the said fourth step include: A1. Under 18 years old; A2. 18 - 35 years old; A3. 35 - 50 years old; A4. Over 50 years old.

7. A classification terminal system for chain operation stores based on customer purchase needs according to claim 6, characterized in that: Through the division of A1 - A4, conduct demand analysis based on the main age group of nearby members, and focus on the intervals with a larger number of people in the age group for the types of products to be purchased.

8. The classification terminal system for chain operation stores based on customer purchase needs according to claim 7, characterized in that: The said product classification includes: B1. Product category; B2. Brand; B3. Price range; B4. Target customer group; B5. Usage scenario: Classify according to the usage scenario of the product.

9. The classification terminal system for chain operation stores based on customer purchase needs according to claim 8, characterized in that: The said store layout includes: C1. Geographical location; C2. Store scale; C3. Business type.

10. The classification terminal system for chain operation stores based on customer purchase needs according to claim 9, characterized in that: The said inventory management is ordered based on the quantity of products required by customers, and it includes: D1. Time interval statistics, increase or decrease the order quantity in terms of quantity or proportion according to the sales situation of products per week, per month, and per quarter; D2. Total sales statistics. Set the target sales standard quantity. For products with a quantity lower than the standard quantity, the order quantity is reduced by quantity or in equal proportion. Conversely, for products that meet or exceed the sales volume, the order quantity is increased.

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