A method and system for supporting pre-order after-sales operations

Abstract

The present invention provides an advance wave operation method and system supporting after-sales before order cut-off, which belongs to the field of data processing technology, and specifically comprises: a picking processing module is responsible for the outbound task generated by the warehouse in advance wave, and generates a specific warehouse picking task for the operator to implement picking according to the warehouse area rules configured in advance by the warehouse; the warehouse processing module is responsible for relying on the order after-sales details, abnormal notification details, and advance wave task details within the outbound time, cross-comparing the details of the operated part and the initiated after-sales part, generating multiple inbound and outbound tasks for the warehouse to perceive the part that needs to be intercepted and reversely entered into the warehouse, and completing the inventory offset by reverse entry, thereby improving the efficiency of after-sales processing.

Description

Technical Field

[0001] The present invention belongs to the field of data processing technology, and in particular, relates to an advance wave operation method and system that supports after-sales before order cut-off. Background Art

[0002] In the process of shipping goods, there will inevitably be problems such as returns. Therefore, in order to realize the interception processing during the shipment of goods, in the invention patent application CN201610174149.0 "Order Information Processing Method, Device and System", when the interception notification message for the specified transaction order is monitored, the status of the warehousing operation order associated with the specified transaction order is judged, and the interception instruction is sent to the transportation management module of the corresponding distribution service provider in time. However, there are the following technical problems:

[0003] When intercepting, the existing technical solutions ignore the need to intercept in advance at the warehouse end, and use intercepted orders to make targeted adjustments to inventory, thereby failing to improve the flexibility of inventory management on the basis of reducing after-sales costs.

[0004] In view of the above technical problems, the present invention provides a method and system for supporting advance wave operations for after-sales before order cut-off. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] According to one aspect of the present invention, a method and system for early wave operation supporting after-sales before order cut-off is provided.

[0007] An advance wave operation system that supports after-sales before order cut-off, specifically including:

[0008] Order processing module, outbound management module, task generation module, picking processing module, warehouse processing module;

[0009] The order processing module is responsible for receiving and storing orders from different sources and channels, and is used as a source for generating subsequent outbound and inbound documents.

[0010] The outbound management module is responsible for generating corresponding outbound tasks based on outbound task generation strategies, and includes multiple outbound execution functions;

[0011] The task generation module is responsible for converting the received orders into internal warehouse notifications. The task scheduling center periodically schedules the pending fulfillment notifications according to the wave configuration strategy to generate advance wave tasks for warehouse personnel to obtain documents for warehouse operations.

[0012] The picking processing module is responsible for generating specific warehouse picking tasks for operators to implement picking according to the warehouse area rules configured in advance by the warehouse based on the warehouse outbound tasks generated in advance;

[0013] The warehouse processing module is responsible for cross-comparing the details of the operated part and the initiated after-sales part based on the order after-sales details, exception notification details, and advance wave task details within the outbound delivery time, and generating multiple inbound and outbound tasks for the warehouse to perceive the part that needs to be intercepted and reversed into the warehouse, and reversely enter the warehouse to complete the inventory offset.

[0014] A further technical solution is that the outbound delivery execution function includes warehouse inventory locking, picking task generation, outbound delivery confirmation, and outbound delivery completion.

[0015] A further technical solution is to also include an after-sales operation compensation module, which relies on the order center to fulfill the contract and push the after-sales order to the warehousing system to convert the unified order service into a warehouse internal abnormality notification form, and reversely generate multiple in and out of the warehouse tasks. Before the warehouse completes the handover, it pushes multiple in and out of the warehouse instructions, intercepts the physical part of the outbound after-sales operation that has been initiated, and reverses the inventory entry to complete the inventory offset.

[0016] On the other hand, the present application provides an advance wave operation method supporting after-sales before order cut-off, which is applied to the above-mentioned advance wave operation system supporting after-sales before order cut-off, and specifically includes:

[0017] S1 obtains the goods corresponding to the order in real time, and determines the outbound processing time of the goods based on the historical sales volume of the goods and the inventory status of the goods;

[0018] S2: taking the order of the product as a matching product order and a matching user, determining the matching situation between the product and the historical shopping data of the matching user, determining the matching coefficient between the product and the matching user, and proceeding to the next step when determining that the product has a matching deviation user by using the matching coefficient;

[0019] S3, when it is determined that the matching deviation coefficient of the product is abnormal based on the matching coefficients of different matching deviation users, proceed to the next step;

[0020] S4 obtains the warehouse's outbound data within a preset time period, and corrects the outbound processing time in combination with the matching deviation coefficient to obtain a corrected processing time, determines the outbound time of the product based on the corrected processing time, uses the after-sales data within the outbound time to intercept in advance, and updates the inventory of the product.

[0021] The beneficial effects of the present invention are:

[0022] The corrected processing time is obtained by correcting the outbound processing time based on the warehouse's outbound data within the preset time period and the matching deviation coefficient. This not only takes into account the impact of the busyness of the warehouse's outbound data within the preset time period on the outbound processing time of the goods, but also avoids the technical problem of long outbound processing time under batch outbound conditions due to a small outbound volume. At the same time, combined with the matching deviation situation, it realizes the dynamic adjustment of the outbound processing time for goods with a higher probability of after-sales, and also lays the foundation for reducing after-sales costs.

[0023] By utilizing after-sales data within the outbound delivery time to intercept in advance and update the inventory of goods, it is possible to intercept in advance and update the inventory of goods at the after-sales end, reducing the cost of after-sales processing. By further updating the inventory of goods, the flexibility of after-sales and sales processing of goods is improved, and optimized warehouse management is achieved.

[0024] A further technical solution is that the historical sales volume corresponding to the commodity is determined based on the analysis results of the sales data of the commodity on the shopping platform.

[0025] A further technical solution is that the inventory status of the goods is determined according to the inventory quantity of the goods, and specifically determined according to the analysis result of the inventory system of the warehouse.

[0026] A further technical solution is that the method for determining the outbound processing time of the goods is:

[0027] Determine the average daily sales volume of the commodity based on the historical sales volume corresponding to the commodity;

[0028] Determine the inventory quantity of the commodity according to the inventory status of the commodity, and determine the available sales time of the commodity using the average daily sales volume of the commodity;

[0029] The outbound processing time of the commodity is determined based on the available sales time of the commodity.

[0030] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0031] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings;

[0033] Figure 1It is a framework diagram of an advance wave operation device that supports after-sales before order cut-off;

[0034] Figure 2 It is a flow chart of the advance wave operation method that supports after-sales before order cut-off;

[0035] Figure 3 It is a flow chart of a method for determining the outbound processing time of a product;

[0036] Figure 4 It is a flowchart of a method for determining a modification processing time. DETAILED DESCRIPTION

[0037] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a pre-order after-sales advance wave operation system is provided, which specifically includes:

[0038] Order processing module, outbound management module, task generation module, picking processing module, warehouse processing module;

[0039] The order processing module is responsible for receiving and storing orders from different sources and channels, and is used as a source for generating subsequent outbound and inbound documents.

[0040] The outbound management module is responsible for generating corresponding outbound tasks based on outbound task generation strategies, and includes multiple outbound execution functions;

[0041] The task generation module is responsible for converting the received orders into internal warehouse notifications. The task scheduling center periodically schedules the pending fulfillment notifications according to the wave configuration strategy to generate advance wave tasks for warehouse personnel to obtain documents for warehouse operations.

[0042] The picking processing module is responsible for generating specific warehouse picking tasks for operators to implement picking according to the warehouse area rules configured in advance by the warehouse based on the warehouse outbound tasks generated in advance;

[0043] The warehouse processing module is responsible for cross-comparing the details of the operated part and the initiated after-sales part based on the order after-sales details, exception notification details, and advance wave task details within the outbound delivery time, and generating multiple inbound and outbound tasks for the warehouse to perceive the part that needs to be intercepted and reversed into the warehouse, and reversely enter the warehouse to complete the inventory offset.

[0044] Furthermore, the outbound delivery execution function includes warehouse inventory locking, picking task generation, outbound delivery confirmation, and outbound delivery completion.

[0045] Specifically, it also includes an after-sales operation compensation module, which relies on the order center to fulfill the contract and push the after-sales order to the warehousing system to convert the unified order service into a warehouse internal exception notification, and reversely generate multiple inbound and outbound tasks. It pushes multiple inbound and outbound instructions before the warehouse completes the handover, intercepts the physical part of the outbound after-sales service that has been initiated and is already in operation, and reverses the inbound and outbound to complete the inventory offset.

[0046] The warehousing system provided in this embodiment includes an advance wave configuration unit, an order cut-off configuration unit, a unified order service unit, an outbound management unit, an inbound management unit, a unified task center unit, and a commodity information unit;

[0047] The advance wave configuration unit includes different warehouses that can freely configure the warehouse wave outbound task generation nodes according to the self-operated operation conditions, and can trigger the generation of wave outbound tasks based on the configured generation nodes based on the upstream orders to be fulfilled;

[0048] The cut-off configuration unit includes different warehouses that can freely configure warehouse cut-off time nodes according to the timeliness of fulfillment. It can trigger the generation of cut-off outbound tasks based on the configured cut-off task generation nodes based on the upstream orders to be fulfilled;

[0049] The unified order-taking service unit includes unified reception and storage of orders from different sources and channels, which is used for the system to automatically generate strategies or manually intervene to generate corresponding outbound tasks;

[0050] The outbound management unit includes warehouse inventory locking, picking task generation, outbound confirmation, outbound completion and other outbound execution functions;

[0051] The warehousing management unit includes warehouse receipt, shelf task generation, warehousing confirmation, warehousing completion and other warehousing execution functions;

[0052] The unified task center unit includes a unified task model to support the tasks generated by different business areas, involving functions such as task generation, collection, submission, and completion;

[0053] The commodity information unit includes the maintenance function of the commodity basic information;

[0054] Step 1

[0055] The warehouse is divided into multiple storage areas and storage areas according to factors such as the physical location of the warehouse, the height of the storage area, the commodity characteristics of the storage area, the packaging specifications of the commodities, the shipment volume of the commodities, etc. In this embodiment, the warehouse W is divided into multiple storage areas, each storage area is further planned with multiple storage areas, and the picking priorities of different storage areas are set, so that the warehouse PDA can guide the picking task to execute the picking;

[0056] Step 2

[0057] Configure product information: When the product enters the warehouse, submit the basic information of the product according to the packaging specifications of the product. The basic information includes length, width, height, weight, specification coefficient, unit of measurement, and product barcode. In this embodiment, the configuration warehouse W products are stored in S1, S2, and S3;

[0058] Step 3

[0059] Advance wave configuration: freely configure the warehouse advance wave outbound task generation node according to the operation effort of the self-operated warehouse. In this embodiment, the first wave outbound task generation time of warehouse W is configured as T1;

[0060] Step 4

[0061] Cut-off configuration: freely configure warehouse cut-off time nodes according to the timeliness of fulfillment

[0062] In this embodiment, the generation time of the cut-off order outbound task of warehouse W is configured as T2, and the generation time of the cut-off order task is greater than the generation time of the advance wave task, T2>T1;

[0063] Step 5

[0064] Unified order-taking service: unified order-taking and storage for orders from different sources and channels

[0065] In this embodiment, orders O1, O2, and O3 are received before the advance wave task generation node, where order O1 includes physical object S1*quantity Q1 in the warehouse, order O2 includes physical object S2*quantity Q2 in the warehouse, and order O3 includes physical object S3*quantity Q3 in the warehouse. The unified order receiving service generates notifications N1, N2, and N3, where notification N1 includes physical object S1*quantity Q1 in the warehouse, notification N2 includes physical object S2*quantity Q2 in the warehouse, and notification N3 includes physical object S3*quantity Q3 in the warehouse;

[0066] Step 6

[0067] Outbound management: Generate corresponding outbound tasks based on the outbound task generation strategy according to the unified order service storage order, and include warehouse inventory locking, picking task generation, outbound confirmation, outbound completion and other outbound execution functions;

[0068] In this embodiment, notifications N1, N2, and N3 are generated based on the unified order service to generate outbound tasks C1, C2, and C3, wherein outbound task C1 includes physical object S1*quantity Q1 in the warehouse, outbound task C2 includes physical object S2*quantity Q2 in the warehouse, and outbound task C3 includes physical object S3*quantity Q3 in the warehouse;

[0069] Step 7

[0070] Unified Task Center: The unified task model supports the tasks generated by different business areas, involving the functions of task generation, collection, submission, and completion. In this embodiment, a unified picking task J1 is generated according to the outbound tasks C1, C2, and C3, where the picking details include the physical S1*quantity Q1, physical S2*quantity Q2, and physical S3*quantity Q3 in the warehouse;

[0071] Step 8

[0072] The warehouse executes the picking task in the warehouse according to the corresponding instructions of the picking task and submits the task, and transmits the picking results of the specific picking task J1, namely, the physical object S1*quantity Q1, the physical object S2*quantity Q2, and the physical object S3*quantity Q3, back to the outbound tasks C1, C2, and C3;

[0073] Step 9

[0074] Before the order cut-off time node T2, order O1 is returned after sales, involving the order details physical S1*quantity Q1, which is pushed to the warehouse unified order service to generate an exception notification AN1, including the physical S1*quantity Q1 in the warehouse

[0075] Step 10

[0076] Warehouse management: perform corresponding physical warehouse entry actions according to warehouse entry tasks to meet the inventory source of physical sales, including warehouse receipt, shelf task generation, warehouse entry confirmation, warehouse entry completion and other warehouse entry execution functions; in this embodiment, multiple warehouse entry and exit tasks R1 are generated according to the abnormal notification sheet AN1 generated by the after-sales order, including the physical object S1*quantity Q1 in the warehouse

[0077] Step 11

[0078] At this time, the picking task J1, outbound tasks C1, C2, and C3 in the warehouse have all been completed. It is necessary to intercept the multi-inbound and multi-outbound task R1, and reversely warehouse the extra physical objects S1*quantity Q1 picked by the after-sales picking task J1 and the outbound task C1 to balance the physical inventory, so that the after-sales inventory can be sold again and the overall outbound timeliness of the warehouse can be guaranteed.

[0079] On the other hand, Figure 2 As shown, the present application provides an advance wave operation method supporting after-sales before order cut-off, which is applied to the above-mentioned advance wave operation system supporting after-sales before order cut-off, and specifically includes:

[0080] S1 obtains the goods corresponding to the order in real time, and determines the outbound processing time of the goods based on the historical sales volume of the goods and the inventory status of the goods;

[0081] S2: taking the order of the product as a matching product order and a matching user, determining the matching situation between the product and the historical shopping data of the matching user, determining the matching coefficient between the product and the matching user, and proceeding to the next step when determining that the product has a matching deviation user by using the matching coefficient;

[0082] S3, when it is determined that the matching deviation coefficient of the product is abnormal based on the matching coefficients of different matching deviation users, proceed to the next step;

[0083] S4 obtains the warehouse's outbound data within a preset time period, and corrects the outbound processing time in combination with the matching deviation coefficient to obtain a corrected processing time, determines the outbound time of the product based on the corrected processing time, uses the after-sales data within the outbound time to intercept in advance, and updates the inventory of the product.

[0084] Furthermore, the historical sales volume corresponding to the commodity is determined based on the analysis results of the sales data of the commodity on the shopping platform.

[0085] Optionally, the inventory status of the goods is determined according to the inventory quantity of the goods, and specifically determined according to the analysis result of the inventory system of the warehouse.

[0086] It should be noted that if Figure 3 As shown, the method for determining the outbound processing time of the commodity is:

[0087] Determine the average daily sales volume of the commodity based on the historical sales volume corresponding to the commodity;

[0088] Determine the inventory quantity of the commodity according to the inventory status of the commodity, and determine the available sales time of the commodity using the average daily sales volume of the commodity;

[0089] The outbound processing time of the commodity is determined based on the available sales time of the commodity.

[0090] Further, determining the outbound processing time of the commodity based on the available sales time of the commodity specifically includes:

[0091] Based on the available sales time of the commodity, a preset processing time corresponding to the available sales time of the commodity is determined, and the outbound processing time of the commodity is determined using the preset processing time.

[0092] In another embodiment, the method for determining the outbound processing time of the commodity is:

[0093] Determine the inventory quantity of the commodity according to the inventory situation of the commodity, and when the inventory quantity of the commodity is less than the preset inventory quantity, determine the outbound processing time of the commodity using the preset time;

[0094] When the inventory of the product is not less than the preset inventory:

[0095] When the inventory quantity of the commodity is determined to be within a preset inventory quantity range based on the inventory quantity of the commodity:

[0096] Determine the historical sales volume of the commodity on different dates based on the historical sales volume corresponding to the commodity, and when the number of dates on which the historical sales volume is greater than the preset sales volume threshold does not meet the requirement, determine the outbound processing time of the commodity using the preset time;

[0097] When the number of dates with historical sales volume greater than the preset sales volume threshold meets the requirements:

[0098] The historical sales volume on different dates is used to determine the average value of the historical sales volume on different dates. When the average value of the historical sales volume on different dates is greater than the preset sales volume threshold:

[0099] Then determine the outbound processing time of the goods using the preset time;

[0100] When the inventory of the product is not within the preset inventory range or when the average of the historical sales volume on different dates is not greater than the preset sales volume threshold:

[0101] The shortest sales duration of the inventory of the commodity in the latest preset period is determined by using the sales volume of the commodity on different dates in the latest preset period. When the shortest sales duration does not meet the requirement, the preset duration is used to determine the outbound processing duration of the commodity.

[0102] When the minimum sales time meets the requirements:

[0103] The inventory quantity of the commodity is determined according to the inventory status of the commodity, and the available sales coefficient of the commodity is determined in combination with the sales volume on different dates. The outbound processing time of the commodity is determined based on the available sales coefficient of the commodity.

[0104] Furthermore, the matching user is a user corresponding to the matching product order.

[0105] Specifically, the method for determining the matching coefficient between the product and the matching user is:

[0106] Determine the portrait matching coefficient between the matching user and different preset portraits using the historical order data of the matching user, and determine the matching user portrait in the preset portrait using the portrait matching coefficient;

[0107] Determine a product matching coefficient between the product and the matching user portrait;

[0108] The matching coefficient between the product and the matching user is determined according to the product matching coefficient and the portrait matching coefficient.

[0109] Furthermore, the product matching coefficient is determined according to a preset matching situation corresponding to the product and the matching user portrait.

[0110] Optionally, the matching coefficient between the product and the matching user is determined based on the product matching coefficient multiplied by the portrait matching coefficient.

[0111] It should be noted that the value range of the matching coefficient between the product and the matching user is between 0 and 1, wherein when the matching coefficient between the product and the matching user is less than a preset matching coefficient, it is determined that the matching user is a matching deviation user.

[0112] In another embodiment, the method for determining the matching coefficient between the product and the matching user is:

[0113] Determining historically purchased commodities of the matching user based on the historical order data of the matching user, and when the commodity exists in the historically purchased commodities, determining that the matching user does not belong to a matching deviation user;

[0114] When the product does not exist in the historical purchase products:

[0115] Determine the commodity correlation coefficient between the historically purchased commodity and the commodity according to the correlation between the historically purchased commodity and the commodity. When there is a historically purchased commodity whose commodity correlation coefficient is greater than a preset correlation coefficient:

[0116] The historically purchased commodities whose commodity association coefficient is greater than the preset association coefficient are regarded as associated commodities, and when the number of associated commodities is greater than the preset number of associated commodities, it is determined that the matched user does not belong to the matched deviation user;

[0117] When the number of associated products is not greater than the preset number of associated products:

[0118] Determine a comprehensive correlation coefficient based on the number of related commodities and commodity correlation coefficients of different related commodities, and when the comprehensive correlation coefficient meets the requirement, determine that the matched user does not belong to a matched deviation user;

[0119] When there is no historical purchase product with a product correlation coefficient greater than the preset correlation coefficient or the comprehensive correlation coefficient does not meet the requirements:

[0120] Determine the portrait matching coefficient between the matching user and different preset portraits using the historical order data of the matching user, and determine the matching user portrait in the preset portrait using the portrait matching coefficient. When there is a matching user portrait whose product matching coefficient with the product is greater than the preset matching coefficient:

[0121] When the sum of the matching user portrait and the product matching coefficient of the product meets the requirement, it is determined that the matching user does not belong to the matching deviation user;

[0122] When there is no matching user profile whose product matching coefficient with the product is greater than the preset matching coefficient:

[0123] Determine the product matching coefficient between the product and the matching user portrait, and determine the matching coefficient between the product and the matching user according to the product matching coefficients with different preset portraits and the portrait matching coefficients.

[0124] Further, determining that the matching deviation coefficient of the product is abnormal includes:

[0125] Determining weight coefficients of users with different matching deviations based on matching coefficients with users with different matching deviations;

[0126] The matching deviation coefficient of the product is determined according to the weight coefficients of different matching deviation users, and whether the matching deviation coefficient of the product is abnormal is determined in combination with a preset coefficient threshold.

[0127] It should be noted that when the matching deviation coefficient of the product is less than a preset coefficient threshold, it is determined that the matching deviation coefficient of the product is abnormal.

[0128] Specifically, Figure 4 As shown, the method for determining the correction processing time is:

[0129] Determine the warehouse outbound quantity in different unit time periods within the preset period based on the warehouse outbound data within the preset period, and determine the outbound time correction factor based on the warehouse outbound quantity in different unit time periods;

[0130] The outbound processing time is corrected based on the outbound time correction factor and the matching deviation coefficient to obtain a corrected processing time.

[0131] A further technical solution is that the corrected processing time is determined by the product of a warehouse-out time correction factor, a matching deviation coefficient and the warehouse-out processing time.

[0132] Furthermore, the inventory of the product is updated, specifically including:

[0133] The commodity is intercepted before it leaves the warehouse, and the inventory of the commodity is updated using the interception processing result.

[0134] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0135] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0136] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A pre-order wave operation system that supports after-sales before order closing, characterized in that: Specifically include: Order processing module, outbound management module, task generation module, picking processing module, warehouse processing module; The order processing module is responsible for receiving and storing orders from different sources and channels, and is used as a source for generating subsequent outbound and inbound documents. The outbound management module is responsible for generating corresponding outbound tasks based on outbound task generation strategies, and includes multiple outbound execution functions; The task generation module is responsible for converting the received orders into internal warehouse notifications. The task scheduling center periodically schedules the pending fulfillment notifications according to the wave configuration strategy to generate advance wave tasks for warehouse personnel to obtain documents for warehouse operations. The picking processing module is responsible for generating specific warehouse picking tasks for operators to implement picking according to the warehouse area rules configured in advance by the warehouse based on the warehouse outbound tasks generated in advance; The warehouse processing module is responsible for cross-checking the details of the operated part and the initiated after-sales part based on the order after-sales details, abnormal notification details, and advance wave task details within the outbound time, and generating multiple inbound and outbound tasks for the warehouse to perceive the part that needs to be intercepted and reversed into the warehouse, and reversely enter the warehouse to complete the inventory offset; Among them, a method for supporting advance wave operation of after-sales before order cut-off specifically includes: Obtain the goods corresponding to the order in real time, and determine the delivery processing time of the goods based on the historical sales volume of the goods and the inventory status of the goods; The order containing the product is used as a matching product order and a matching user, and the matching situation between the product and the historical shopping data of the matching user is determined, and the matching coefficient between the product and the matching user is determined by the matching coefficient. When it is determined that the product has a matching deviation user, the next step is entered; When it is determined that the matching deviation coefficient of the product is abnormal based on the matching coefficients of users with different matching deviations, proceed to the next step; Obtaining the warehouse's outbound data within a preset period, and correcting the outbound processing time in combination with the matching deviation coefficient to obtain a corrected processing time, determining the outbound time of the product according to the corrected processing time, using the after-sales data within the outbound time to intercept in advance, and updating the inventory of the product; The method for determining the matching coefficient between the product and the matching user is: Determine the portrait matching coefficient between the matching user and different preset portraits using the historical order data of the matching user, and determine the matching user portrait in the preset portrait using the portrait matching coefficient; Determine a product matching coefficient between the product and the matching user portrait; The matching coefficient between the product and the matching user is determined according to the product matching coefficient and the portrait matching coefficient.

2. The advance wave operation system supporting after-sales before order closing as claimed in claim 1, characterized in that: The outbound delivery execution function includes warehouse inventory locking, picking task generation, outbound delivery confirmation, and outbound delivery completion.

3. The advance wave operation system supporting after-sales before order closing as claimed in claim 1 is characterized in that: It also includes an after-sales operation compensation module, which relies on the order center to fulfill the contract and push the after-sales order to the warehousing system to convert the unified order service into an internal warehouse exception notification form, and reversely generate multiple inbound and outbound tasks. It pushes multiple inbound and outbound instructions before the warehouse completes the handover, intercepts the physical part of the outbound after-sales service that has been initiated and is already in operation, and reverses the inbound and outbound to complete the inventory offset.

4. The advance wave operation system supporting after-sales before order closing as claimed in claim 1, characterized in that: The historical sales volume corresponding to the commodity is determined based on the analysis results of the sales data of the commodity on the shopping platform.

5. The advance wave operation system supporting after-sales before order closing as claimed in claim 1, characterized in that: The inventory status of the commodity is determined according to the inventory quantity of the commodity, and is specifically determined according to the analysis result of the inventory system of the warehouse.

6. The advance wave operation system supporting after-sales before order closing as claimed in claim 5, characterized in that: The method for determining the outbound processing time of the goods is: Determine the average daily sales volume of the commodity based on the historical sales volume corresponding to the commodity; Determine the inventory quantity of the commodity according to the inventory status of the commodity, and determine the available sales time of the commodity using the average daily sales volume of the commodity; The outbound processing time of the commodity is determined based on the available sales time of the commodity.

7. The advance wave operation system supporting after-sales before order closing as claimed in claim 1, characterized in that: It is determined that the matching deviation coefficient of the product is abnormal, including: Determining weight coefficients of users with different matching deviations based on matching coefficients with users with different matching deviations; The matching deviation coefficient of the product is determined according to the weight coefficients of different matching deviation users, and whether the matching deviation coefficient of the product is abnormal is determined in combination with a preset coefficient threshold.

8. The advance wave operation system supporting after-sales before order closing as claimed in claim 7, characterized in that: When the matching deviation coefficient of the product is less than a preset coefficient threshold, it is determined that the matching deviation coefficient of the product is abnormal.

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