Shoe selling method

Abstract

The invention discloses a shoe selling method and system based on multi-terminal cooperation, and relates to the technical field of electronic commerce, logistics management and intelligent manufacturing. According to the method, off-line accurate code selection and style selection are realized by setting a distribution end try-on site, and an integrated process of try-on, order placing, production and delivery is constructed in combination with operation end order centralized processing and shoemaking end order combining production. The problems of high return rate, multi-node inventory overstock, low logistics efficiency and the like caused by size errors in traditional footwear sales are solved by utilizing hierarchical trunk transportation, a tree-shaped multi-level network architecture and a geocoding area packaging technology. According to the method, offline experience and an online supply chain are deeply fused through technical means, zero-inventory sales is realized, the operation cost is reduced, the delivery time efficiency is improved, and the method is suitable for digital transformation of the footwear retail industry.

Description

Technical Field

[0001] The present invention belongs to the cross - technical field of e - commerce and intelligent logistics, and specifically relates to a shoe sales method integrating offline try - on experience, cloud order management, and distributed production, which is especially applicable to a digital retail system for optimizing the circulation efficiency of shoe products through multi - terminal collaboration. Background Art

[0002] There are two major pain points in traditional shoe sales.

[0003] Offline mode: Physical stores need to stock all sizes, resulting in a high capital occupancy rate and a long cross - regional replenishment cycle.

[0004] Online mode: Consumers cannot try on shoes physically, and the return rate caused by size errors has long exceeded 30%. In addition, Chinese e - commerce platforms generally implement the "seven - day no - reason return" policy, which objectively increases the return rate.

[0005] Existing improvement solutions such as AR virtual shoe try - on and 3D foot scanners can partially alleviate the problem of incorrect size selection, but they have defects such as high equipment costs (over 10,000 yuan per unit) and data processing delays (average response time > 5 seconds). In addition, in the existing supply chain, the data between the production side and the sales side is fragmented, resulting in a slow order response speed (typical delivery cycle of 7 - 15 days), making it difficult to meet the immediate consumption demand.

[0006] Therefore, there is an urgent need for a shoe sales method that can integrate the advantages of offline experience and online supply chain efficiency, while achieving low inventory risk and high delivery accuracy. Summary of the Invention

[0007] The present invention proposes a multi - terminal collaborative shoe sales method, and its technical solutions include: 1. System Architecture

[0008] Distribution end: Set up a physical try - on site and deploy: Full - size single - sample shoe display area; Visual selection terminal (equipped with a touch screen and a product database); Order entry device (supporting QR code / NFC payment).

[0009] Operation end: Cloud server cluster, with: Order analysis module (real - time statistics of demands from each distribution end); Logistics scheduling engine (integrating API interfaces of logistics companies such as SF Express and JD.com).

[0010] Shoe - making end: Flexible production line, configured with: Central scheduling module (receiving production instructions from the operation end) Intelligent sorting module (packing according to regional packing rules) 2. Core Process

[0011] Step S1: After the customer tries on the shoes at the distribution end to confirm the size and completes the style / color selection through the visual interface, the system generates an encrypted order containing user ID, shoe type code, size, and color data.

[0012] Step S2: The distribution end uploads the order to the operation end in real time via the HTTPS protocol, triggering the following parallel operations: Send a production instruction (including the bill of materials requirements list and delivery time limit) to the shoe manufacturing end; Start the logistics route calculation (obtain real-time road conditions based on the Gaode Map API).

[0013] Step S3: The shoe manufacturing end summarizes the orders according to the preset time window (such as 48 hours) for order consolidation, and adopts the regional consolidation strategy: Merge the production batches of orders for the same county-level administrative region (determined according to the first 4 digits of the postal code of the delivery address) Transport the finished shoes to the core distribution end collection point within the region.

[0014] Step S4: The operation end monitors the logistics status. When the goods arrive at the distribution end: Send a text message notification containing the self-pickup code to the customer; If mailing is selected, automatically call the courier company's electronic waybill system to generate a waybill. Beneficial Effects

[0015] Reduce operating costs: The distribution end does not need to stock sales inventory, only needs to display single sample shoes (one for each size) uniformly provided by the operation end, and the ownership of the sample shoes belongs to the operation end and is updated cyclically regularly; through the above model, the commodity inventory cost at the distribution end approaches zero, and compared with the traditional full-size stocking model, the inventory capital occupancy is reduced by more than 95%; order consolidation production reduces the number of small-batch logistics times, and the transportation cost is reduced by 35%-40%.

[0016] Enhance the consumption experience: Precise in-store try-on reduces the return rate from 30% to less than 3%; Regional consolidation distribution shortens the average delivery time to 3.2 days (compared with 7 days in the traditional model).

[0017] System scalability: Support unlimited expansion of the distribution end through standardized APIs. A single operation end can manage more than 500 nodes; Under the tree structure, a single shoe manufacturing end can serve 20 operation ends simultaneously, and the production capacity utilization rate is increased to 92%. Description of the Drawings

[0018] Figure 1 : System architecture topology diagram. The diagram shows the tree-like connection relationship between the shoe manufacturing end - operation end - distribution end.

[0019] Figure 2 : Flowchart of regional set packaging. The figure shows the step - by - step breakdown from order generation to distribution at regional distribution nodes.

[0020] Figure 3 : Schematic diagram of the visualization terminal operation interface. The figure shows interactive elements such as size selection, style browsing, and order submission. Detailed implementation Example 1 (basic scenario)

[0021] A certain brand shoe merchant sets up 1 operation terminal in Hangzhou, connecting 3 distribution terminals (West Lake Intime, Yuhang Wanda, and Xiaoshan Mixc).

[0022] As Figure 3 shown, after a customer tries on and selects a pair of size 36 sports shoes at the West Lake Intime store distribution terminal, the customer selects the black style on the visualization interface terminal and scans the code to pay and generate an order (order number HZ_XH_20250318007).

[0023] After receiving the order, the operation terminal sends a production instruction to the shoe - making terminal in Fujian. The shoe - making terminal combines and produces 12 orders in the Hangzhou area on the same day and sends them to each distribution terminal through Debang Logistics the next day.

[0024] The customer picks up the goods at the West Lake Intime store distribution terminal with the self - pick - up code after receiving the notice. Example 2 (extended scenario)

[0025] As Figure 1-2 shown, 1 shoe - making terminal is set up in Guangdong Province, connecting 2 operation terminals in Shenzhen and Guangzhou, and each operation terminal manages 15 distribution terminals.

[0026] When the Shenzhen operation terminal receives 87 orders from 5 distribution terminals, the shoe - making terminal combines and produces 32 orders in Bao'an District (postcode 5181**) according to the regional set - packaging rules.

[0027] Then, the finished products are transported to each distribution terminal using first - level trunk transportation (SF Heavy Logistics).

[0028] The customer picks up the goods at the distribution terminal with the self - pick - up code after receiving the arrival notice, or the goods are delivered to the customer by second - level last - mile delivery. Technical details supplement

[0029] The visualization terminal is developed using the React framework and supports offline caching of order data (temporarily storing in local IndexedDB when the network is interrupted).

[0030] The geocoding service calls the administrative division code library of the National Bureau of Statistics to achieve accurate mapping between geocoding and GIS coordinates.

[0031] The optimization of the logistics path adopts a genetic algorithm with cost, timeliness, and carbon emissions as multi-objective constraint conditions.

[0032] The above embodiments and data are all exemplary illustrations, and the actual implementation scope of the present invention is defined by the claims.

Claims

1. A shoe sales method based on a collaborative system between an operation end and a distribution end, characterized in that: The following steps are involved: a. Set up a physical fitting area at the distribution end to display samples of shoes covering all sizes for customers to try on; b. After the customer determines the appropriate size by trying on, he / she selects the color and style of the shoes through a visual interface in the trial venue; c. The distribution end displays to the customer the digital purchase portal bound to the operation end and receives the customer order data; d. The distribution end transmits the order data to the operation end through the preset communication protocol; e. The operation side generates a delivery instruction based on the order data and delivers the corresponding shoes to the designated address of the distribution side through the logistics service provider; f. After receiving the shoes, the distributor provides customers with delivery options including on-site pickup or mailing to a designated address.

2. The method according to claim 1, characterized in that: The logistics service provider's transportation path in step e includes primary trunk line transportation (primary) and terminal delivery (secondary), where: The above-mentioned trunk line transportation (level 1) refers to the trunk line transportation from the shoe manufacturing warehouse to the distribution site; The final delivery (secondary) refers to the final delivery from the distribution site to the customer, and its execution method is dynamically switched to on-site pickup or mailing service according to the customer's choice.

3. The method according to claim 1, characterized in that It also includes the production coordination steps on the shoe-making side: The shoe-making end receives the order summary data from the operation end, executes group production for multiple orders from the same distribution end according to a preset time window, and delivers the completed shoes to the corresponding distribution end site in the form of a single batch package.

4. The method according to claim 1, characterized in that: The operation end is provided with a standardized access interface, allowing multiple distribution ends to access through the API protocol, forming a tree-like hierarchical architecture of a single operation end and multiple distribution ends, and the order data between each distribution end is isolated from each other.

5. The method according to claim 3, characterized in that: The shoe-making end is provided with a central dispatching module, allowing multiple operation ends to access through the data middle platform, forming a tree-like hierarchical architecture of a single shoe-making end and multiple operation ends, and the distribution end networks managed by each operation end are independent of each other.

6. The method according to claims 3 and 5, characterized in that: When the shoe-making end produces orders in batches, the orders delivered to the same geographical area are given priority to regional group packaging, including: The geocode is the first 4 digits of the postal code of the delivery address, which is used to identify the target area of ​​the order; Combine production instructions for orders from the same region into a single batch; The finished shoes will be transported to the designated distribution nodes in the area.

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