Logistics management device, control method for logistics management device, and control program for logistics management device

By adopting logistics management devices in the logistics system and classifying and allocating according to the frequency of user items, the problem of inefficient warehouse location and inventory management in the existing logistics system is solved, and more efficient logistics supply and safer warehouse management are achieved.

CN119527765AActive Publication Date: 2025-02-28MISUMI GROUP HONSHA
View PDF 7 Cites 0 Cited by

Patent Information

Application Number
CN202411551273.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2021-09-17
Publication Date
2025-02-28
Estimated Expiration
2041-09-17

AI Technical Summary

Technical Problem

The existing logistics system is unable to effectively manage warehouse location and inventory levels, resulting in inefficient supply chain application and increased production costs and safety risks.

Method used

A logistics management device is adopted to obtain the frequency of user items, and the items are classified into the first, second and third categories, and they are allocated to the corresponding storage office for management and supply.

Benefits of technology

By sorting and distributing items by frequency of use, the problems of low-frequency items and poor supply efficiency are solved, and the overall efficiency of the logistics system and the safety of the warehouse are improved.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119527765A_ABST
    Figure CN119527765A_ABST
Patent Text Reader

Abstract

The invention provides a logistics management device, a control method of the logistics management device, and a control program of the logistics management device. A logistics management device manages a logistics system that uses a first storage room, a second storage room, and a third storage room, the first storage room stores a first type of articles taken by a user who uses the articles, the second storage room stores a second type of articles conveyed to the user, and the third storage room stores a third type of articles conveyed to the user. The logistics management device is provided with: an acquisition means for acquiring the frequency of use of articles by each user; and a classification unit that classifies articles corresponding to the first frequency of use as first-class articles, classifies articles corresponding to the second frequency of use lower than the first frequency of use as second-class articles, and classifies articles corresponding to the second frequency of use lower than the first frequency of use as second-class articles, based on the frequency of use of a plurality of users belonging to a conveying target area set for the third storage. And classifying the articles corresponding to a third use frequency lower than the second use frequency into a third class of articles.
Need to check novelty before this filing date? Find Prior Art

Description

[0001] This application is a divisional application of an application with an application date of September 17, 2021, application number 202180061557.4, and invention name “Logistics management device, control method and control program of logistics management device”. Technical Field

[0002] The present invention relates to the field of logistics, and in particular to a logistics management device, a control method for the logistics management device, and a control program. Background Art

[0003] In recent years, with the rapid development of e-commerce and logistics industries, higher requirements have been placed on logistics efficiency and warehouse management. For enterprises that need to circulate goods, warehouse location and inventory level are extremely important. Unreasonable warehouse location and inventory level may significantly reduce the efficiency of supply chain, affect the company's profits and bring unnecessary losses.

[0004] Currently, some companies set up their own warehouse space to store items, which leads to an increase in production costs. In addition, various items are piled together, which requires complicated operations when handling and replacing, and the operation efficiency is extremely poor. In the field of logistics, regarding the current warehouse location selection and supply method, by dividing the supply area and setting up warehouses in different supply areas, the items stored in the warehouse actually cover the user needs in the area, thereby realizing the use of logistics supply chain.

[0005] On the other hand, within the area covered by one or more warehouses, there are still central areas of the warehouse and areas close to the edge areas. Moreover, the existing supply methods cannot guarantee the supply speed of the edge areas. In addition, the user needs in an area are relatively complex, and the warehouse needs to store many varieties. Moreover, different varieties often have certain conditions in terms of storage space and storage methods. This increases the cost of the warehouse, and the safety risk of the warehouse is also increased due to the stacking of complex categories. Therefore, in the field of logistics, it is imperative to provide a logistics system and method that can reduce the risk of backlog of goods and improve supply efficiency at the same time.

[0006] Patent document 1 below discloses a storage management method for an intelligent warehouse. The storage management method is a method for managing materials required for product production, and includes the following steps: an acquisition step of acquiring production plan data of the product and a safety factor of the material; and a prediction step of predicting the predicted usage of the material based on the production plan data and the safety factor. Moreover, production data based on the production plan data and the predicted usage is sent to an unmanned intelligent warehouse storage device. In addition, the production data is updated in real time according to the usage status of the materials stored in the unmanned intelligent warehouse storage device.

[0007] Prior art literature

[0008] Patent Literature

[0009] Patent Document 1: Japanese Patent Application Publication No. 2019-36308 Summary of the invention

[0010] Problem that the invention aims to solve

[0011] An object of the present invention is to provide a logistics management device, a control method of the logistics management device, and a control program that address the above-mentioned technical problems.

[0012] Solutions for solving problems

[0013] One embodiment of the present invention is a logistics management device that manages a logistics system using a first storage house, a second storage house, and a third storage house, wherein the first storage house is used to store first-category items picked up by users who use the items, the second storage house is used to store second-category items delivered to users who use each of the first storage houses, and the third storage house is used to store third-category items delivered to users who use each of the first storage houses corresponding to the plurality of second storage houses, respectively. The logistics management device comprises: an acquisition component that acquires the frequency of use of the items by each user; and a classification component that classifies the items corresponding to the first frequency of use as the first-category items, the items corresponding to the second frequency of use lower than the first frequency of use as the second-category items, and the items corresponding to the third frequency of use lower than the second frequency of use as the third-category items, based on the frequency of use of multiple users belonging to a delivery target area set for the third storage house.

[0014] Another embodiment of the present invention is a control method for a logistics management device, wherein the logistics management device manages a logistics system using a first storage house, a second storage house, and a third storage house, the first storage house being used to store first category items picked up by users who use the items, the second storage house being used to store second category items delivered to users who use each of the first storage houses, and the third storage house being used to store third category items delivered to users who use each of the first storage houses corresponding to the plurality of second storage houses, respectively. In the control method for the logistics management device, a usage frequency of the items by each user is obtained; and based on the usage frequency of multiple users belonging to a transportation target area set for the third storage house, the items corresponding to the first usage frequency are classified as the first category items, the items corresponding to the second usage frequency lower than the first usage frequency are classified as the second category items, and the items corresponding to the third usage frequency lower than the second usage frequency are classified as the third category items.

[0015] Another embodiment of the present invention is a control program of a logistics management device, which manages a logistics system using a first storage house, a second storage house, and a third storage house, wherein the first storage house is used to store first-category items picked up by users who use the items, the second storage house is used to store second-category items delivered to users who use each of the first storage houses corresponding to the plurality of second storage houses, and the third storage house is used to store third-category items delivered to users who use each of the first storage houses corresponding to the plurality of second storage houses, respectively. The control program of the logistics management device is used to cause a processor of the logistics management device to function as the following components: an acquisition component that acquires the frequency of use of the items by each user; and a classification component that classifies the items corresponding to the first usage frequency as the first-category items, the items corresponding to the second usage frequency lower than the first usage frequency as the second-category items, and the items corresponding to the third usage frequency lower than the second usage frequency as the third-category items based on the usage frequency of multiple users belonging to a transportation target area set for the third storage house.

[0016] Effects of the Invention

[0017] According to the present invention, by allocating items classified in order of usage frequency to multiple storage locations for storage, and supplying them to users across multiple storage locations, it is possible to solve the problems of the prior art such as the backlog of low-frequency items and poor supply efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1This is a distribution diagram of each storage center of the logistics system provided by this embodiment.

[0019] Figure 2 This is a schematic diagram of a transport path and a signal link corresponding to one first storage location in this embodiment.

[0020] Figure 3 This is a system overview diagram of a logistics system for a single storage facility according to this embodiment.

[0021] Figure 4 It is a schematic diagram showing the structure of the automatic locker according to the present embodiment.

[0022] Figure 5 This is a schematic diagram of an automatic machine database according to an embodiment of the present invention.

[0023] Figure 6 This is a schematic diagram of different types of item databases in the self-service machine database provided by an embodiment of the present invention.

[0024] Figure 7 This is a schematic diagram of the user authority database provided by this embodiment.

[0025] Figure 8 This is a schematic diagram showing the flow of the article handling method provided by the embodiment of the present invention.

[0026] Fig. 9 This is a schematic diagram of a supply route provided by one embodiment of the present invention.

[0027] Fig.10 This is a schematic diagram of another supply path provided by this embodiment. DETAILED DESCRIPTION

[0028] Below, the specific embodiments of the present invention are described in detail. In addition, the following embodiments are used for those skilled in the art to further understand the present invention, and are not used to limit the present invention in any form. In addition, those skilled in the art can apply changes or improvements to the embodiments without departing from the concept of the present invention. Moreover, the embodiments after applying changes or improvements all belong to the protection scope of the present invention.

[0029] In the field of logistics, in the current purchase method, purchase areas are divided and warehouses are set up for different purchase areas. The items stored in the warehouse can basically meet the needs of users in the purchase area. This realizes the operation of the logistics supply chain. In the purchase area covered by one or more warehouses, there is an area centered on the warehouse and an edge area close to the edge of the purchase area. Therefore, the previous purchase method cannot guarantee the purchase speed of the edge area.

[0030] In addition, the needs of users in a receiving area are relatively complex, and the warehouse needs to store many items. In addition, the risk of low-frequency items being piled up in the warehouse is relatively high. In addition, since there are many types of items in the warehouse, there are problems such as the number of items that are less than the incoming quantity or the problem of items not being concentrated. In addition, different items often have specified conditions in terms of storage space and storage methods. This increases the cost of the warehouse, and the stacking of complex types of items also increases the safety risk of the warehouse.

[0031] In this embodiment, a logistics system 100 is provided. Figure 1 1 is a distribution diagram of each storage center of the logistics system 100 provided in this embodiment. Figure 1 The logistics system 100 includes a first depository 1, a second depository 2, and a third depository 3. In the following description, the transportation of items to users using the first depository 1 includes various methods. For example, the items may be transported to the location of a user to which multiple users who use the items belong, such as the location of a corporate user. In this case, the corporate user becomes a user using the first depository 1. In addition, the items may be transported to the location of a factory user belonging to the corporate user. In this case, the factory user becomes a user using the first depository 1. Furthermore, the items may be transported to the location where the first depository 1 is set up, and the transported items are replenished to the first depository 1.

[0032] The first depository 1 stores first-category items that are picked up by users who use the items. Moreover, the first depository 1 is set in or near the area where the users are located, covers a small area and has a small storage space. For example, when the user is in a factory, the first depository 1 is set in or near the factory. As an example, the first depository 1 is an automatic vending machine (hereinafter also referred to as a "self-service machine"), or an automatic locker where users take out items in person. In addition, the first depository 1 is a place where items are directly supplied to users, and can also be a box, a storeroom, or a small warehouse where users directly pick up items themselves.

[0033] At least a portion of the space of the first storage 1 is used to accommodate first-category items corresponding to a first frequency of use. The first frequency of use is a relatively high frequency of use. For example, consumables such as gloves or masks are accommodated in the space. When a user urgently needs first-category items, he or she can directly obtain them from the first storage 1 in or near the factory. As a result, the transportation efficiency of the first-category items is greatly improved.

[0034] The second depository 2 is used to store the second category of items to be delivered to the users of each of the multiple first depositories 1. That is, the second depository 2 is used to store the second category of items to be delivered to one or more users who utilize each of the first depositories 1. Specifically, the second depository 2 is a sub-warehouse, such as a warehouse covering a medium-sized area or a warehouse with a medium-sized storage space. Moreover, a plurality of first depositories 1 are arranged in the delivery target area covered by the multiple second depositories 2. In addition, the second depository 2 can be a medium-sized storage device that automatically carries out items, or it can be a factory of a manufacturer or a warehouse of a seller. A plurality of first depositories 1 are arranged in a medium-sized area. As an example, the delivery distance between the second depository 2 and the user is a distance that can be delivered within 4 hours.

[0035] At least a portion of the space of the second storage 2 is used to accommodate second-category items corresponding to a second frequency of use lower than the first frequency of use. The second frequency of use is a medium frequency of use. For example, second-category items are items that are urgently needed when a user has a need, but are used less frequently than first-category items, such as wrenches, screwdrivers, or tape measures. By arranging such second-category items in the sub-warehouse, the circulation speed of the second-category items can be ensured, and the transportation cost of the second-category items can be reduced.

[0036] The third depository 3 is used to store third-category articles to be transported to users of each of the first depository 1 corresponding to each of the plurality of second depository 2. That is, the third depository 3 is used to store third-category articles to be transported to one or more users using each of the first depository 1. Specifically, the third depository 3 is a main warehouse, a warehouse covering a relatively large area or a warehouse with a large storage space. In addition, a plurality of second depository 2 are arranged in the transport target area covered by the third depository 3. In addition, the third depository 3 can be a large-scale storage device that automatically carries out articles, or a factory of a manufacturer or a warehouse of a seller. The coverage area covered by the third depository 3 includes all the coverage areas covered by the plurality of second depository 2 corresponding to the third depository 3. In most cases, the transportation distance between the third depository 3 and the user is longer than the distance between the second depository 2 and the user. This distance is used for relatively long-distance transportation logistics, for example, a distance that can be delivered within 24 hours.

[0037] The third depository 3 is used to store third-category items corresponding to a third frequency of use that is at least lower than the second frequency of use. The third-category items are items that users usually do not need urgently and are used less frequently than the second-category items, such as casters or couplings. However, the third-category items also include items that have a high frequency of use for some types but a low frequency of use for other types, and items that have a low frequency of use depending on the type. For example, bearings have a high frequency of use overall, but there are also many types. Therefore, the actual frequency of use of a specific type of bearing is not high, and users usually do not need to pick up the item quickly. Therefore, such items can be kept in the third depository 3 as third-category items.

[0038] The frequency of use of the item by the user is determined based on the number of items used, consumed, or purchased within a certain period (e.g., 4 weeks). A group of first-category items with a high frequency of use is supplied or sold in the first storage 1. Furthermore, a group of second-category items with a medium frequency of use is delivered from the second storage 2 to the user who uses the first storage 1. Furthermore, a group of third-category items with a low frequency of use is delivered from the third storage 3 to the user who uses the first storage 1.

[0039] The classification of items is appropriately optimized according to the number of items used, consumed, or purchased. As an example, in the area covered by the second storage 2, the number of items obtained in the order of frequency of use from high to low and taking into account the capacity of the first storage 1 is classified as first-category items and stored in the first storage 1. As a result, the items stored in the first storage 1 can be made common in the area covered by the second storage 2. In addition, in the area covered by the third storage 3, other items with a medium frequency of use are classified as second-category items and stored in the second storage 2. As a result, the items stored in the second storage 2 can be made common in the area covered by the third storage 3. Moreover, the remaining items with low frequency of use are classified as third-category items and stored in the third storage 3.

[0040] In addition, the classification criteria of the first category items, the second category items, and the third category items can also be changed by the user. For example, for users in a factory, gloves or protective clothing, which are commonly used in processing, can also be included in the first category of items. However, for users in a design company, gloves or protective clothing are not commonly used, so they are not included in the first category of items. On the other hand, for users in a design company, it is highly likely that some measuring tools or drawing tools are included in the first category of items.

[0041] In this embodiment, the classification criteria of the first category of articles, the second category of articles, and the third category of articles can be determined by agreement between the article supplier and the user. For example, the user and the supplier can sign a contract and store the classification in the form of data in the database of the logistics system 100. In this way, customized services can be further provided to the user. In addition, the first category of articles, the second category of articles, and the third category of articles can also include the same articles.

[0042] Figure 2 1 is a schematic diagram of a transport path and a signal link corresponding to one first storage place 1 according to this embodiment. Figure 2 The logistics system 100 provided in this embodiment further includes a server 4 as an example of a logistics monitoring device, and an ordering device 5. The ordering device 5 can be used to accept user orders, and can be a mobile device with a client application installed, or a terminal device installed in the first storage 1. Alternatively, the ordering device 5 can also be an external device not included in the logistics system 100.

[0043] The method of accepting the user's order may also be a method in which the user directly orders in a client application or terminal device and the processed order information is sent to the server 4. Alternatively, the user may sign a contract with a service provider for ordering items and the service provider may send the order information to the server 4. For example, the service provider inputs the content of the item that the user wants to order into the terminal device to generate an account corresponding to the user. Then, order information is generated under the account corresponding to the user, and the order information obtained by the generation process is sent from the service provider's terminal device to the server 4.

[0044] Figure 3 1 is a system schematic diagram of a logistics system 100 for one first storage facility 1 according to this embodiment. Figure 3 The server 4 of this embodiment has a memory 4a and a processor 4b. Instructions or data for executing various processes of this embodiment are stored in the memory 4a. Then, the instructions or data are read by the processor 4b. The data includes a self-service machine database DB.

[0045] The processor 4b has a transport instruction unit 41 as a logic device. The processor 4b functions as an acquisition unit that acquires the usage frequency of each user using the item and a classification unit that classifies the items into first-category items, second-category items, and third-category items. Moreover, the processor 4b as the classification unit performs a classification process of classifying the items corresponding to the first usage frequency as first-category items based on the usage frequencies of a plurality of users belonging to the transport target area set for the third storage 3. In addition, in the classification process, the processor 4b classifies the items corresponding to the second usage frequency lower than the first usage frequency as second-category items, and classifies the items corresponding to the third usage frequency lower than the second usage frequency as third-category items.

[0046] The processor 4b performs the classification process periodically (for example, quarterly). In addition, the processor 4b may also perform the classification process when a new user is set, when a new item is set, or when the first depository, the second depository, or the third depository is reset. Furthermore, the processor 4b may also perform the classification process in response to an operation performed by the administrator of the server 4 or in response to a request from a user. In addition, the processor 4b may also perform the classification process when the consumption of the first category items, the second category items, or the third category items reaches a specified amount. In addition, the processor 4b may also perform the classification process simultaneously for the first category items, the second category items, and the third category items, and may also perform the classification process for each item.

[0047] Furthermore, the processor 4b as the classification means classifies the articles into first-category articles, second-category articles, and third-category articles according to the users. That is, the articles classified into first-category articles, second-category articles, and third-category articles may be different depending on the users. For example, gloves classified into first-category articles for users in factories may be classified into third-category articles for users in design companies.

[0048] The first storage 1 is used to store first-category articles classified for each user. Furthermore, the second storage 2 stores second-category articles classified for multiple users corresponding to multiple first storages 1 in the transportation target area covered by the second storage 2. In addition, the third storage 3 stores third-category articles classified for multiple users corresponding to multiple first storages 1 in the transportation target area covered by the third storage 3. For example, the third storage 3 is used to store measuring tools classified as third-category articles for users in factories and gloves classified as third-category articles for users in design companies.

[0049] As an example, the transport instruction unit 41 sends a transport instruction for instructing transport to the supplier of the first category items based on the information of the classified first category items. For example, the transport instruction unit 41 issues an initial transport instruction for initially transporting the first category items to the user who uses the first storage 1. Then, the supplier transports the first category items, and the first category items are stored in the first storage 1.

[0050] In addition, the transport instruction unit 41 may also send a transport instruction for the second category items to the supplier of the second category items based on the information of the classified second category items. Then, the supplier transports the second category items, and the second category items are stored in the second storage 2. In addition, the transport instruction unit 41 may also send the information of the classified second category items and the transport instruction to the manager or management system that manages the second storage 2. Then, the manager or management system purchases the second category items based on the information of the second category items, and stores the second category items in the second storage 2. In addition, the transport instruction unit 41 may also send the transport instruction to the manager or management system that manages the second storage 2. Then, the manager or management system obtains the second category items from a database (e.g. Figure 6 ) obtains information about the second category items. Then, the manager or management system purchases the second category items based on the acquired information and stores the second category items in the second storage 2.

[0051] In addition, the transport instruction unit 41 may also send a transport instruction for the third category items to the supplier of the third category items based on the information of the classified third category items. Then, the supplier transports the third category items, and the third category items are kept in the third depository 3. In addition, the transport instruction unit 41 may also send the information of the classified third category items and the transport instruction to the manager or management system that manages the third depository 3. Then, the manager or management system purchases the third category items based on the information of the third category items, and keeps the third category items in the third depository 3. In addition, the transport instruction unit 41 may also send the transport instruction to the manager or management system that manages the third depository 3. Then, the manager or management system obtains the transport instruction from a database (e.g. Figure 6 ) obtains information on the third category items. Further, the manager or management system purchases the third category items based on the acquired information and stores the third category items in the third storage 3.

[0052] The processor 4b as the acquisition means acquires the order information from the ordering device 5 of the logistics system 100. In addition, the processor 4b acquires the article delivery information from the first storage 1.

[0053] In addition, the processor 4b also functions as a transport instruction unit that sends a first transport instruction to the second depository 2 or a second transport instruction to the third depository 3 in response to the acquisition of the order information. Here, the first transport instruction includes information for specifying the second-category article to be transported from the second depository 2 to the user who uses the first depository 1. In addition, the second transport instruction includes information for specifying the third-category article to be transported from the third depository 3 to the user who uses the first depository 1. Furthermore, the processor 4b as the transport instruction unit sends the first transport instruction or the second transport instruction when the subsequent order information associated with the first depository 1 is not acquired within a certain period of time after the order information is acquired.

[0054] Furthermore, the processor 4b as the delivery instruction component sends a first delivery instruction or a second delivery instruction in response to obtaining the delivery request. In addition, the processor 4b adds the items associated with the order information to the purchase list. Furthermore, the processor 4b sends the first delivery instruction or the second delivery instruction when the total amount of the items added to the purchase list is greater than a preset amount threshold. Furthermore, the processor 4b predicts which items belong to the first category of items within a certain period of time based on the current transaction record of the first depository 1 or the current log information of the user corresponding to the first depository 1. Then, the processor 4b classifies the first category of items based on the prediction result.

[0055] The processor 4b also functions as an updating unit that updates the article data when acquiring article delivery information from the first storage 1. The article data indicates the number of articles stored in the first storage 1, and the memory 4a stores the article data.

[0056] In addition, the memory 4a stores a control program of the logistics management device. The processor 4b executes the control program of the logistics management device, so that the processor 4b functions as an acquisition component, a classification component, a conveyance instruction component, and an update component. As an example, the processor 4b has a conveyance instruction unit 41. Moreover, the conveyance instruction unit 41 functions as a conveyance instruction component.

[0057] The transport instruction unit 41 issues an initial transport instruction for initially transporting the first category items to the first depository 1. In addition, the transport instruction unit 41 issues a transport instruction for transporting the first category items to the user who uses the first depository 1. The server 4 is connected to the first depository 1 (for example, an automatic machine) and the ordering device 5 in a communicable manner. The transport instruction unit 41 can receive order information from the ordering device 5. In addition, the ordering device 5 can receive the order information of the user and send the order information to the transport instruction unit 41. Then, the transport instruction unit 41 can perform segmentation, calculation, distribution or other appropriate processing of the order information based on the order information.

[0058] The orders that can be processed by the server 4 provided in this embodiment can be either reservation orders or temporary orders. Users can reserve items that may be used in a certain period of time in the future by generating a reservation form. After the reservation form is generated, the person in charge of transportation transports the specified types and quantities of items recorded on the reservation form to the specified location within the specified time, and repeats the transportation periodically.

[0059] When a user has a temporary demand for an item, a temporary voucher can be generated, and the person in charge of transportation will deliver the specified item to the specified location within the specified time. Compared with a reservation order, the demand for a temporary voucher is temporary. Therefore, the delivery speed based on the temporary voucher becomes an important indicator for the performance evaluation of the logistics system 100.

[0060] The delivery instruction unit 41 provided by the present embodiment can take into account both the processing of the scheduled order and the processing of the temporary order. In particular, the delivery instruction unit 41 can increase the overall delivery speed of the temporary order. Taking the temporary order as an example, the temporary order of the user sometimes includes the first category of items, the second category of items, and the third category of items at the same time. In addition, the temporary order sometimes only includes the first category of items, only includes the second category of items, or other similar situations.

[0061] In the case where the temporary voucher created by the user includes the first category items, the second category items and the third category items at the same time, the delivery instruction unit 41 can determine the delivery destination of the items according to the type of items. Then, the delivery instruction unit 41 sends a delivery instruction to the depository corresponding to the delivery destination. Specifically, the temporary order is divided into a plurality of sub-orders. For example, the plurality of sub-orders at least include a first sub-order, a second sub-order and a third sub-order. The first sub-order is a sub-order for separating the first category items from the original order. Then, based on the first sub-order, the server 4 issues an initial delivery instruction (or a third delivery instruction) for delivering the first category items to the user using the first depository 1 to the supplier of the first category items (for example, a transporter, a manufacturer, a seller or a sales store). In addition, it is also possible that the first category items are also stored in the second depository 2, and the administrator of the second depository 2 plays the role of the supplier of the first category items. Similarly, it is also possible that the first category items are also stored in the third depository 3, and the administrator of the third depository 3 plays the role of the supplier of the first category items.

[0062] The second sub-order is a sub-order for the second category items separated from the original order. The delivery instruction unit 41 sends a first delivery instruction according to the second sub-order, and the first delivery instruction includes a delivery instruction for delivering the second category items from the second depository 2 to the user using the first depository 1. That is, in the case where the original order includes a certain number of second category items, the delivery instruction unit 41 can send the first delivery instruction to the second depository 2, so that the second category items of the number matching the ordered quantity are delivered from the second depository 2 to the user using the first depository 1.

[0063] The third sub-order is a sub-order for the third category of items separated from the original order. Similarly, when the original order of the user includes a certain number of third category items, the delivery instruction unit 41 can send a second delivery instruction to the third depository 3, so that the third category items of a quantity matching the ordered quantity are delivered from the third depository 3 to the user using the first depository 1.

[0064] In the case where only first-category items are included in the temporary order generated by the user, if the first-category items are stored in the second storage 2 or the third storage 3, the first-category items can be delivered from the second storage 2 or the third storage 3 to the user using the first storage 1. Alternatively, an order may be placed directly with the manufacturer or seller of the first-category items, and the manufacturer or seller of the first-category items may be responsible for delivering the items to the user using the first storage 1.

[0065] In addition, when the temporary order from the user only includes the second category items or the third category items, the delivery instruction unit 41 selectively sends the delivery instruction. Specifically, when the temporary order only includes the second category items, the first delivery instruction is generated based on the information such as the type and quantity of the second category items in the temporary order. Then, the first delivery instruction is sent to the second storage 2, and the computer device or the person in charge of the second storage 2 arranges the delivery of the second category items. When the temporary order only includes the third category items, the delivery can be arranged in the same way as the above case.

[0066] In this embodiment, the order receiving unit 21, 31 communicating with the delivery instruction unit 41 arranges delivery after receiving the user's order information. Then, the corresponding items are delivered by the carrier and stored in the first storage 1, or directly handed over to the user. In addition, in this embodiment, the first storage 1 is an automatic vending machine set up near the place where the user is, for example, set up in the factory site or near the factory.

[0067] Alternatively, the first depository 1 is an automatic storage cabinet where the recipient takes out the parts by himself. Moreover, the delivery service provider places the items ordered by the user in one of the multiple storage compartments 10 of the automatic storage cabinet. Then, the delivery service provider locks the storage compartment 10. After that, the user accepts authentication using a dynamic password, identity authentication (such as image recognition or card recognition, etc.) or wireless communication. After accepting the authentication, the user uses the unlocking unit 12 to unlock the corresponding storage compartment 10 and personally takes out the items in the corresponding storage compartment. By setting up an automatic storage cabinet and cooperating with the logistics system 100 introduced in this embodiment, the number of purchasing personnel to be separately configured can be reduced. In addition, the item purchasing needs of different users can be met without purchasing personnel, thereby reducing the workload in the purchase and settlement stages.

[0068] Figure 4 : is a schematic structural diagram of the automatic locker provided in this embodiment. Figure 3 and Figure 4 The automatic locker includes an authentication device 11 and a plurality of storage compartments 10. The authentication device 11 includes an IC card reader and a camera, which can authenticate the identity of the user and determine the authority of the sub-user by card reading and recognition or image recognition. Different types or quantities of first-category items are contained in different storage compartments 10. However, the same types and quantities of first-category items can also be contained in different storage compartments 10. In some embodiments, some storage compartments 10 can also be used to temporarily store second-category items or third-category items.

[0069] In the case where the main user of the first depository 1 is a corporate user, the corporate user can open accounts for at least some of the staff (sub-users) who use the items. Each account has corresponding permissions, and the account and the corresponding permissions are recorded in the user permission database DB4 of the server 4. Of course, the account and the corresponding permissions can also be saved in the automatic locker. Accounts with different permissions have different types or quantities of first-category items. For example, a high-authority account can receive more types or more quantities of first-category items. On the other hand, low-authority accounts can receive relatively fewer types or quantities of items.

[0070] By setting different permissions, the logistics system 100 involved in this embodiment can open the locker door of the corresponding storage compartment 10 according to the permissions of the sub-user identified by the authentication device 11. In particular, the storage compartment 10 whose locker door is opened can also be a storage compartment 10 containing the corresponding type and quantity of first-class items. For example, a department or staff with ordinary permissions can receive 8 boxes of masks per week, and a department or staff with high permissions can receive 10 boxes of masks per week. In this case, masks corresponding to ordinary permissions are placed in a storage compartment 10 in groups of 8 boxes, and masks corresponding to high permissions are placed in a storage compartment 10 in groups of 10 boxes.

[0071] When a department or staff member with ordinary authority needs to collect masks, the storage compartment 10 containing 8 boxes of masks is opened. Moreover, when a department or staff member with higher authority needs to collect masks, the storage compartment 10 containing 10 boxes of masks is opened. Based on the above, each sub-user can obtain a reasonable amount of first-category items according to the pre-set rules, which can improve the safety of obtaining the first-category items and the rationality of distribution.

[0072] Furthermore, in some embodiments, in order to facilitate handling by staff who are not familiar with the use of portable terminals, ordering device 5 may be installed in the portable terminal, and the sub-user may place an order directly on ordering device 5 installed in the portable terminal.

[0073] In the logistics system 100 of the present embodiment, the server 4 stores an automatic vending machine database DB which is a database arranged corresponding to each automatic vending machine. Figure 5 The server 4 includes a self-service machine database DB corresponding to each vending machine, a first category item database DB1, a second category item database DB2, a third category item database DB3, a user authority database DB4 and other databases.

[0074] Reference Figure 6 In the first-category item database DB1, at least a category list of first-category items including the categories of all items classified as first-category items is stored. Similarly, the second-category item database DB2 includes a category list of all items classified as second-category items. In addition, the third-category item database DB3 includes a category list of all items classified as third-category items. The first-category item database DB1, the second-category item database DB2, and the third-category item database DB3 are used to search for which category of items the item belongs to based on the type of the item.

[0075] Reference Figure 7, the user authority database DB4 is set to be used for the self-service withdrawal function of the vending machine. Specifically, the user authority database DB4 contains information on multiple sub-users of the user and the authority settings corresponding to each sub-user. For the setting of each authority, there is a method for setting the type, quantity or total amount of items that can be used. Sub-users with each authority can collect items until the type, withdrawal quantity or total amount of items that can be withdrawn within a specified period such as within 1 month reaches an upper limit. In some embodiments, the total amount of each item consumed by each sub-user can also be recorded in the user authority database DB4, and sent to the user during periodic settlement to share with the user.

[0076] In this embodiment, the vending machine includes an inventory management module 14 ( Figure 3 The inventory management module 14 is used to monitor the inventory of the first category of items in the vending machine and send a delivery request when the inventory is less than a threshold. According to this preferred technology, when the inventory of the first category of items drops below the threshold, the first category of items are automatically delivered to maintain the inventory of the first category of items above a reasonable level and ensure sufficient supply of the first category of items.

[0077] In other embodiments, the inventory management module 14 can also send a delivery request periodically based on the order information. For example, the delivery service provider can sign a contract with the user in advance to determine the delivery time interval, the number of deliveries, the type of items in each delivery, and the delivery volume. Afterwards, the service provider can deliver items periodically based on the pre-determined rules. Moreover, the service provider can more easily arrange and provide regular settlement and delivery services.

[0078] In addition, one embodiment of the present invention provides an article handling method that uses the instruction operation of a computing device to determine the storage and circulation methods of articles. The article handling method is executed by a computing device used by a server 4 configured in the cloud, a user's terminal device, or a vending machine set up for the user. The article handling method provided in this embodiment adjusts the storage location and transportation method of different types of articles by executing instructions that can be read by the computing device. Moreover, by using warehouses with different coverage areas to store articles with different frequencies of use, the transportation efficiency is improved and the safety risks of the warehouse are reduced.

[0079] Specifically, in this embodiment, if Figure 8As shown, the article handling method includes the following steps S1 to S4. In the transport step S1 after the setting step S0, an initial transport instruction is issued. The initial transport instruction includes an instruction for transporting first-category articles corresponding to the first frequency of use and directly supplied to the user to the first storage 1. Specifically, the computing device that executes the article handling method, that is, the server 4 of this embodiment, sends the initial transport instruction to the transport service provider or manufacturer of the first-category articles. Then, the initial number of first-category articles is stored in the first storage 1 so that the user can take them out.

[0080] In the ordering step S2, order information is received. Specifically, in the ordering step S2 of the present embodiment, the server 4 receives order information from the ordering device 5 or the user's terminal device. The order information may include different types of items.

[0081] In the delivery instruction step S3, a delivery instruction is selectively issued according to the ordering information received in the ordering step S2. The delivery instruction includes a first delivery instruction and a second delivery instruction. The first delivery instruction includes a delivery instruction for delivering a second-category item corresponding to a second usage frequency lower than the first usage frequency from a second storage house 2 different from the first storage house 1 to a user using the first storage house 1. The second delivery instruction includes a delivery instruction for delivering a third-category item corresponding to a third usage frequency lower than the second usage frequency from a third storage house 3 different from the first storage house 1 and the second storage house 2 to a user using the first storage house 1.

[0082] Specifically, the order information received from the ordering device 5 in the ordering step S2 includes at least the type and quantity of the items. In addition, the memory 4a of the server 4 records the type databases of different types of items including the first type item database DB1, the second type item database DB2, and the third type item database DB3. The first type item database DB1, the second type item database DB2, and the third type item database DB3 respectively include lists of the first type items, the second type items, and the third type items corresponding to the user.

[0083] The list may be different for each user and can be saved separately. By searching the list based on the type of the item, it is possible to determine which type of item the item belongs to, that is, whether it is a first-category item, a second-category item, or a third-category item. Based on the determination of the type of the item, it is possible to determine which storage facility or seller delivers the item of that type.

[0084] For example, when the type of the determined item belongs to the first category of items, a corresponding transport instruction may be generated, and the generated transport instruction may be sent to the manufacturer or seller of the first category of items, or the transport service provider selected by the manufacturer or seller. When the type of the determined item belongs to the second category of items, the first transport instruction may be generated. The first transport instruction is an instruction for supplying the second category of items in the user order from the second depository 2 to the user using the first depository 1. The generated first transport instruction is sent to the second depository 2 or displayed in the task list of the transport personnel of the second depository 2. When the type of the determined item belongs to the third category of items, the second transport instruction may be generated. The second transport instruction is an instruction for supplying the third category of items in the user order from the third depository 3 to the user using the first depository 1. The generated second transport instruction is sent to the third depository 3 or displayed in the task list of the transport personnel of the third depository 3.

[0085] Through the above method, the items are classified according to the frequency of use of the items, and the items are stored in different storages. Moreover, the classification of the items is recorded in the server 4 or other information terminals (computer terminals, etc.) to generate an initial delivery instruction with the help of pre-set user demand information or temporarily acquired user demand information. Then, based on the initial delivery instruction, the first category of items that can be directly supplied to the user are directly distributed in the first storage 1, so that the user can obtain frequently used items more quickly and conveniently. For example, in the case where the user is a manufacturer with a factory, the first category of items such as gloves or tapes are the most frequently used items. Moreover, after the first storage 1 distributes the items based on the initial delivery instruction, multiple items such as gloves or tapes can be pre-configured, and they can continue to be used during the factory production without re-ordering. Therefore, the convenience of the operation is improved.

[0086] By setting up a second storage place 2 and / or a third storage place 3 to store the second category items and the third category items, it is possible to accurately transport the items to the users who use the first storage place 1 according to the order requirements. As a result, the items with high frequency of use are quickly transported, the transportation speed of the second category items with medium frequency is increased, and the inventory backlog of the third category items with low frequency of use is reduced. For example, in the case where the user is a manufacturer with a factory, the frequency of use of hand tools is lower than that of high-frequency consumables such as gloves, and the consumption time is relatively long. Therefore, if it is possible to order when needed, the storage space will not be unnecessary. In addition, the frequency of use mentioned here includes the meaning of being consumed due to use, and the frequency of use can be equivalent to the frequency of consumption to some extent.

[0087] Below, with Fig. 9 A specific description will be given in conjunction with each other. Fig. 9This is a schematic diagram of the delivery path from multiple storage locations to one user. Fig. 9 As shown, the first depository, the second depository, and the third depository have different coverage areas. Among these depositories, the first depository 1a and 1b are used to store high-frequency items that are directly supplied to user A via the first depository 1a or directly supplied to user B via the first depository 1b based on the initial delivery instruction of the server 4 or the computer device. In addition, the second depository 2 and / or the third depository are used to store items with medium and / or low frequencies of use. Moreover, by utilizing the small-scale warehouse delivery of high-frequency items around the users, items are supplied to multiple users in a wide range. By using this method, the supply range of items from low frequency to medium frequency can be expanded, and the storage cost can be reduced.

[0088] In addition, in this embodiment, if Figure 8 As shown, the overall process of the preferred article handling method also includes a setting step S0, in which a setting instruction of the corresponding first storage 1 is selected and set according to the size of the first category articles. The correspondence is made according to the size of the articles so that the structure and size of the first storage 1 match. As a result, the adaptability of the first storage 1 to different articles is increased, so that the storage requirements for different first category articles can be met under various conditions. In particular, the fact that the overall process of the article handling method includes a setting step means that the provider of the articles can set up a storage, and the enterprise as the user can avoid unnecessary increase in costs caused by setting up a storage.

[0089] Frequently used industrial small tools (first category items) are generally stored in drawer-type, rotary or container-type storages. Among these methods, the container-type storage has a large storage space and is more suitable for storing large items, but the storage quantity is limited. The rotary storage can store a large number of items, but the items are easily damaged during the movement. The drawer-type storage is used to store an appropriate number of items that do not need to be moved.

[0090] In the case where the frequently used items in the order of user A are a plurality of gloves and dust-free cloths with large volume, etc., a storage-type storage is adopted as the first storage house 1 to cover the needs of user A, so that the large volume items can be more conveniently accommodated. In addition, in the case where the frequently used items in the order of user B are small and easily damaged cutting tools or hand tools, etc., a drawer-type storage house is adopted as the corresponding first storage house 1, which can store more items, can use space more effectively, and can protect items from damage.

[0091] After the first storage 1 is set up, the transport step S1 is performed. Then, the first-category items corresponding to the first usage frequency are transported to the user who uses the first storage 1. The transport step S1 can be performed by the manufacturer or seller of the first-category items, or the transport service provider. Alternatively, the transport step S1 can be performed by the operator of the logistics system 100, and the executor is not limited. The first-category items of each order can be transported separately, or can be sent in combination with items of other orders to save transportation costs.

[0092] After that, the ordering step S2 is entered to receive order information. Specifically, the server 4 receives the collected order information from the ordering device 5. The order information is collected and analyzed by the ordering device 5 of the first storage 1 or the ordering device 5 installed near the first storage 1. The order information includes information about the type of items required by the user, that is, information about which frequency of use of the items is required. After the information about the items, the ordering device 5 confirms the user's identity information and authentication information, and obtains the user's first-level order information and second-level review information.

[0093] The first-level ordering information mentioned here is preferably ordering information generated by the person who actually performs the ordering action. In addition, the second-level review information is preferably review information generated by other people with review authority after reviewing the ordering information. The specific method of sending the ordering information to other people with review authority is not particularly limited. For example, in order to have other people conduct the review, a method of email reminder or reminder within the software system can be used. The feedback information reviewed by other people is sent to the ordering device 5 to proceed to the next step. Of course, the second-level review information may also include information of agreement or disagreement. In the case of receiving information of disagreement, the ordering device 5 does not proceed to the next step, but returns to the original interface.

[0094] In the ordering step S2, the source of the ordering information is made clearer, and the communication between people and machines is made more convenient by setting up the ordering device 5. In addition, the type of the requested item is determined, and the result is reflected in the ordering information. Moreover, the delivery operation provided in the subsequent delivery instruction step S3 can be made more convenient and accurate. In addition, the user's ordering information and the review information obtained after checking the user's personal authority information are reflected in the ordering information that links the user to the item. As a result, statistical collection and management, as well as the management of storage information, can be carried out more easily. Since the item information in the ordering information becomes richer, the difficulty of searching for the required item in the delivery instruction step S3 is reduced, and misdelivery can be avoided.

[0095] In addition, the location of the ordering device 5 is not limited here. The ordering device 5 can be built into the first depository 1. By setting the ordering device 5 and the first depository 1 as one, space can be saved. In addition, it can be understood by those skilled in the art that the ordering device 5 can be set as an independent device set in the first depository 1. The setting of an independent device can form a larger space to realize more functions, thereby further optimizing the user experience.

[0096] For example, the ordering device 5 may be an authentication device 11 provided in the first storage 1 or installed near the first storage 1. It is possible to order items using various methods, such as using a camera installed on the upper part of the authentication device 11. The camera scans the items, and automatically reads the required items based on the scanned information and generates image information. When the user places an order, he clicks the parameters of the item information displayed based on the read information and confirms it, thereby greatly improving productivity.

[0097] After the order information is generated, the order information is judged whether it is abnormal according to the first order information and the second review information of the order information generated in the order step S2. In addition, in the case of abnormality, the warning step S2a is entered, the order information is included in the warning information and the order removal information is sent to the user.

[0098] The warning information includes any one of an abnormality in identification information, an abnormality in first-level order information, and an abnormality in second-level review information, or a combination thereof. Specifically, the warning information includes information indicating that the user ID does not match the order information, that the user does not have the authority to use the storage, that the user does not have the authority to order the ordered items, and that the number of ordered items exceeds the maximum storage capacity of the first storage 1, but is not limited to these conditions. In addition, it may be a combination of multiple conditions.

[0099] Those skilled in the art should understand that other abnormalities in identification information, other abnormalities in first-level order information, and other abnormalities in second-level review information can also be applied to the present invention. For example, information indicating other abnormalities may indicate that the user's order quantity exceeds a threshold value set according to the user's authority.

[0100] In this embodiment, by setting the warning step S2a, a circular chain including order acquisition, review, warning and feedback to the user is established, so that the warehouse management forms a complete closed loop. This is conducive to strengthening warehouse management and improving delivery accuracy. In addition, warnings are issued for abnormal items in user identification information, user order information and second-level review information to prevent users outside the target from using items at will or the number of items used by users exceeds the usage rights. In addition, the management of the number of items in the storage and the user's usage status can be strengthened.

[0101] After the order information is generated, if it is determined that the order information is normal information, the delivery instruction step S3 is then executed. Then, a delivery instruction is issued according to the order information received in the ordering step S2. The delivery instruction includes a delivery instruction for a second category of articles and / or a third category of articles that are different from the first category of articles. Then, the articles are delivered from the second depository 2 and / or the third depository 3 to the location of the first depository 1. Of course, the delivery instruction may also include a delivery instruction for the first category of articles.

[0102] After the items are delivered from the second storage 2 and / or the third storage 3, the receiving step S4 is executed to send information about the received items and update the item data. Specifically, the total number of stored items in the first storage 1 is timely counted and updated, and the received information is fed back.

[0103] By providing the receiving step S4, timely feedback of the replenishment status of the first storage 1 and timely updating of the item information become easy. As a result, the reliability of the replenishment process can be improved to avoid mis-transmission, and the item information can be updated in a timely manner, thereby strengthening the control and management of the storage quantity. More specifically, the update of the item information includes comparison with the order information. Moreover, when it is determined that there is a difference between the updated new item information and the order information, the difference is presented to the user or the item supplier.

[0104] Preferably, the time difference between the delivery instruction step S3 and the receiving step S4 is changed according to the delivery instruction. That is, the time for delivering items from different storages (the second storage 2 or the third storage 3) to the user using the first storage 1 is made different. Specifically, the time difference between the delivery instruction step S3 and the receiving step S4 is the time from the issuance of the delivery instruction in the delivery instruction step S3 to the issuance of the delivery information for picking up the items in the receiving step S4. The factors that play a decisive role in the time difference are the distance between the second storage 2 or the third storage 3 and the location of the first storage 1, and the delivery method. In addition, the delivery instruction can also be adjusted by adding other factors such as weather information as parameters to the calculation function.

[0105] Specifically, when the transport instruction issued in the transport instruction step S3 indicates that the item is transported from the second depository 2 to the location of the first depository 1, the time difference between the transport instruction step S3 and the receiving step S4 is within 4 hours. In addition, when the transport instruction issued in the transport instruction step S3 indicates that the item is transported from the third depository 3 to the location of the first depository 1, the time difference between the transport instruction step S3 and the receiving step S4 is within 24 hours. The setting of the time difference is a better technology, and the second depository 2 is used for transportation, and the time to reach the user is within 4 hours from the order. This achieves "4-hour coverage" and greatly improves the user experience.

[0106] The specific method for achieving the time limit of 4 hours is not particularly limited. It can be input into the function based on parameters such as distance, transportation method, and weather information, and the information in the transportation instruction, such as the transportation method and the time when the item is removed from the warehouse, can be adjusted based on the calculation result. In this embodiment, the transportation instructions are made different, thereby limiting the time required to transport items with different usage frequencies from different storages to users using the first storage 1. This also limits the range of user needs covered by the third storage 3 and the second storage 2 to a certain extent, ensuring the transportation time and supply efficiency.

[0107] In addition, in this embodiment, the maximum transportation time from the second storage 2 to the location of the first storage 1 and the maximum transportation time from the third storage 3 to the location of the first storage 1 are limited. However, the absolute distance between the two storages is not limited. Fig.10 In the case of supplying articles to user C, the transportation distance D3 from the third storage 3 to the installation location of the first storage 1 is shorter than the transportation distance D2 from the second storage 2 to the installation location of the first storage 1. Similarly, the transportation time from the third storage 3 to the installation location of the first storage 1 is shorter than the transportation time from the second storage 2 to the installation location of the first storage 1. Alternatively, the transportation distance from the third storage 3 to the installation location of the first storage 1 may be the same as the transportation distance from the second storage 2 to the installation location of the first storage 1.

[0108] Those skilled in the art should understand the following. That is, the transportation time from the third depository 3 to the user using the first depository 1 is longer than the transportation time from the second depository 2 to the user using the first depository 1. For example, if the transportation time from the second depository 2 to the location where the first depository 1 is set is within 4 hours and the transportation time from the third depository 3 to the location where the first depository 1 is set is within 24 hours, then the relationship with other transportation times does not exceed the protection scope of the present invention. Among them, in this embodiment, order information is received and a delivery instruction is sent in the ordering step S2. Thus, if subsequent order information associated with the first depository 1 is not received within a certain period of time after receiving the order information, a delivery instruction is issued.

[0109] In this embodiment, in the delivery instruction step S3, the condition for issuing the delivery instruction after receiving the order information is limited to the case where the subsequent order information is not received within a certain period of time. In this way, it is possible to avoid the situation where the next order for requesting a second delivery is received within a short period of time after receiving the order information, and the delivery is performed according to the subsequent delivery instruction. In addition, the subsequent order information mentioned here includes order information for the same items as the items of the previous order and order information for the same delivery destination (for example, the location of the first storage 1) although the items are different. Therefore, even if the situation is different, it is possible to uniformly deliver.

[0110] As a variation, the required items associated with the order information may also be added to the purchase list. A delivery instruction is issued when the amount of the items corresponding to the purchase list is greater than a preset amount threshold. In this variation, orders reaching a certain amount are uniformly and centrally supplied based on the preset amount. Thus, the supply efficiency can be effectively improved. Preferably, in the delivery instruction step S3, the delivery instruction further includes a third delivery instruction. The third delivery instruction includes a list of first-category items delivered to the first storage 1 or first-category items delivered to the user.

[0111] In this embodiment, when the first category items are insufficient in the first storage 1, the items can be delivered to the user who uses the first storage 1 in a timely manner. In this method, even if a basic contract is signed with the user in advance, the first category items can be stored in other storages as part of the contract. Furthermore, when the first category items are occasionally consumed, the items stored in other storages can be used to deliver them quickly and flexibly.

[0112] More preferably, the delivery instruction step S3 includes the following prediction step. In the prediction step, it is determined which articles belong to the first category of articles within a certain period of time in the future based on at least the current transaction record of the first depository 1 or the current log information of the user corresponding to the first depository 1. As an example, the processor 4b functioning as a classification unit executes the prediction step.

[0113] In this embodiment, the current transaction records of the first depository 1 can effectively reflect the past transaction habits of the user. Moreover, the current log information of the user corresponding to the first depository 1 can effectively reflect the types of items that the user needs in the future. Through this method, the first category of items with high utilization frequency can be predicted more accurately. As a result, the types of items in the first category can be predicted more accurately, and items of a type that further meets the actual needs of the user can be stored in the first depository 1.

[0114] More preferably, the prediction step includes a modeling step and a model application step. The modeling step provides a project model and a prediction model for users with different stages. Each stage of the project model has a unique item type belonging to the first category of items. The model application step applies the prediction model to the current transaction record or the current log information to determine the current project stage and the deadline of the project stage. In the delivery instruction step S3, a third delivery instruction is issued when the current moment exceeds the deadline of the current project stage. Then, the first category of items in the third delivery instruction are determined based on the first category of items belonging to the next project stage.

[0115] In the present embodiment, in the method for handling items, the project that the user is currently working on and the current project stage are predicted. Then, when entering the next project stage, the types of items in the first storage 1 are updated in a timely manner. In this way, the actual needs of users that continuously change with the ongoing projects can be met. In addition, in the present embodiment, it is preferred to specifically clarify the method of using machine learning to predict the design project of mechanical equipment. However, it can be understood by those skilled in the art that the present invention is not limited to this method, and methods of predicting the frequency of use of items by other methods can also be applied to the present invention.

[0116] Furthermore, when machine learning is used to generate a prediction model, data collected in at least one of the first storage 1, the second storage 2, and the third storage 3 may be used. For example, in each first storage 1, the frequency of use of each item is collected by the user as data, and the data is sent to the server 4 for use in generating a prediction model. In addition, in each first storage 1, the number of items that can be accommodated may be classified as first-category items in descending order of frequency of use, and the classified data may be sent to the server 4. These data are different for each first storage 1.

[0117] In addition, the usage frequency of each item is collected as data for a plurality of first storages 1 within the area covered by the second storage 2, and the data is sent to the server 4 for use in generating a prediction model. Alternatively, the usage amounts in the plurality of first storages 1 may be summed up, and items with a medium usage frequency may be classified as second-category items, and the classified data may be sent to the server 4. In this case, items that are frequently used in some first storages 1 but are less frequently used in other first storages 1 may also be classified as second-category items. These data are different for each second storage 2.

[0118] In addition, the usage frequency of each item is collected as data for a plurality of first storages 1 in the area covered by the second storage 2 in the area covered by the third storage 3, and the data is sent to the server 4 for use in generating a prediction model. In addition, the usage amounts in the plurality of first storages 1 may be summed up, and items with low usage frequencies may be classified as third-category items, and the classified data may be sent to the server 4. In this case, items that are frequently transported to the first storage 1 in some second storages 2 but are less frequently transported to the first storage 1 in other second storages 2 may also be classified as third-category items. These data are different for each third storage 3.

[0119] Preferably, the delivery instruction step S3 also includes the following prediction step. In the prediction step, the distribution amount of each first-category item in different depositories is calculated in a certain period of time thereafter based on at least the current transaction record of the first depository 1. In this embodiment, the current transaction record of the first depository 1 can effectively reflect the past transaction habits of the user. In the case where the current transaction record shows that the actual consumption of several first-category items is relatively large and exceeds the expected consumption, the distribution amount to different depositories can be adjusted quickly and timely considering the logistics speed and the space utilization rate of the depository.

[0120] The prediction steps of the present invention are described in detail below in association with specific application scenarios.

[0121] [Application scenario 1]

[0122] In this application scenario, the user's order information is "order 50 pairs of gloves and 60 pieces of tape". However, in the user's current transaction record, although the user ordered 50 pairs of "gloves" and 60 "tapes" in the previous quarter, only 50 "gloves" and 20 "tapes" were used. Based on the above data, in the prediction step, the appropriate storage quantity, i.e., the allocation quantity, of "gloves" and "tapes" in different storage facilities within a certain period of time (for example, one quarter) can be calculated.

[0123] For example, it can be predicted that the usage of items such as "gloves" will be greater in the next stage. Therefore, more "gloves" can be sent to the first storage 1 as the first-class items. In addition, the amount of "tapes" in the first storage 1 can be adjusted so that the amount of "tapes" in the order information can be stored in the second storage 2 or the third storage 3 and delivered as needed.

[0124] [Application scenario 2]

[0125] In this application scenario, the user's order information is "Order 40 gas masks". However, in the user's current transaction record, the user also ordered the item type "filter element" in conjunction with the item type "gas mask". Therefore, when it is determined that the item "gas mask" is the first-class item of the user's next project stage, when entering the next project stage, it is determined that the "filter element" as a related item of the "gas mask" is also a first-class item, and the two related items are transported as a set to the first storage 1.

[0126] [Application scenario 3]

[0127] After clarifying the needs of the mechanical equipment, the design department begins the design work. First, the design department needs to carry out the overall scheme design and main structure design, and continuously modify and optimize until the requirements of structural review, cost review and appearance review are met. After that, the overall structure, detailed structure and auxiliary structure are designed to realize the basic functions of the mechanical equipment, so that the functional evaluation is qualified. Next, the trial production of mechanical equipment is promoted, and the production process and function realization of the prototype are evaluated for productivity and product performance, and the design acceptance is completed and mass production is realized. In this application scenario, a data model corresponding to each design project is constructed, and the user information is compared with the constructed data model to obtain the user's current design stage, thereby predicting the user's frequency of use of the item in the future.

[0128] For example, in this embodiment, the modeling step is first performed to provide project models and prediction models for users at different stages. Each stage of the project model has a unique item type belonging to the first category of items. Specifically, in the modeling step, the model can be an existing production project model and prediction model, or a project model and prediction model constructed based on a machine learning method corresponding to the user's information.

[0129] Among them, the method of modeling based on machine learning can more correctly adapt to the actual production status of users. Specifically, in this application scenario, a modeling step is performed to collect information on mechanical equipment design projects in actual production. Then, the process of the mechanical equipment design project is divided into the pre-design, mid-term, and post-design stages. Specifically, specific item information of different mechanical equipment can be obtained by different users according to the disclosed project information. Of course, those skilled in the art can understand that other methods capable of obtaining the item information of mechanical devices can also be equally applied to the present invention.

[0130] After that, a feature analysis step is performed. Since there is a certain degree of uncertainty during the development of non-standard mechanical equipment, the associated process is divided in units of days. Specifically, the dates of the pre-design period, mid-design period, and post-design period are marked with labels respectively. In addition, before the design starts, the number of days after being divided into three stages in the total number of days of the design cycle is selected as the date without design and labeled. Then, after determining the label corresponding to a certain date, user data, log data, and order data of the current date and the date slightly earlier than the current date are used to perform the feature attachment operation.

[0131] In several embodiments of the present invention, a replenishment method for a storage is provided. This replenishment method is applicable to the replenishment process of the first storage 1, the second storage 2, and the third storage 3. This replenishment method includes the following steps. That is, a prediction model is applied to the storage information, user information, and item information including the consumption process to predict the future item consumption. Then, based on the future consumption of the item and the inventory of the item, the replenishment information is determined.

[0132] Among them, the information of the storage is the number, size, capacity, and utilization information of the storage, etc. In addition, the user information can be set as one or more of the user's information source, business scope, floor, number of people on the floor, number of floors, floor area (Japanese: 階床), and operation cycle. The item information can be either the basic information of the item or, for example, the name, type, model, price, and other information of the item, or it can also be the multi-level classification information of the category to which the item belongs, or it can also be the item main body data to which the item belongs.

[0133] The item information includes the consumption / sales information of the item. Moreover, the consumption / sales information includes the consumption / sales volume corresponding to the item in different periods, for example, the consumption / sales volume of the item recorded daily or weekly, etc., and is data that changes dynamically with time. The replenishment information can include the replenishment frequency, the frequency of temporary orders, the replenishment time, the shelving time, the replenishment quantity, and other information, etc., but is not limited to these information.

[0134] In some embodiments, the prediction model can be established and trained by the following method. That is, a feature matrix is ​​constructed based on one or more of the storage information, user information, item information including consumption history, and item inventory. The feature matrix is ​​a feature matrix that reflects the quantity of each item in a time series. Then, the prediction model is trained based on the feature matrix and the static features of each item that do not change over time to obtain a prediction model.

[0135] The training algorithms of the model include long short-term memory network, LightGBM algorithm and XgBoost algorithm, but are not limited to these algorithms. In several embodiments, the future consumption can be compared with the actual consumption to perform error calculation. The error calculation can use root mean square error or a customized metric based on root mean square error. The customized metric reflects the asymmetric risk in the sales forecast. Asymmetric risk means that the risk of the predicted data being smaller than the actual data is higher than the risk of the predicted data being larger than the actual data.

[0136] By constructing customized indicators as described above, the occurrence of insufficient items in inventory can be further reduced, thereby ensuring the security of inventory to enhance user experience. In several embodiments, in order to provide future consumption of the forecast week, for example, the average value, maximum value, or minimum value of the historical record period before the forecast period can also be calculated, thereby using the consumption / sales information of the item. For example, it can be based on the consumption / sales of the n weeks before the forecast week, the average value of the consumption / sales of the n weeks before the forecast week, whether a consumption record was generated in the n weeks before the forecast week, and the situation in which a consumption record was generated in the n weeks before the forecast week. The weekly average or consumption frequency within the n weeks before the forecast week is used to provide a forecast of future consumption in the forecast week.

[0137] Afterwards, in this application scenario, it is preferred to use the LightGBM (Light Gradient Boosting Machine) algorithm to train the prediction model. Among them, LightGBM is a variance gradient boosting framework based on the decision tree algorithm, which can be used for machine learning tasks such as classification and regression. Moreover, it can speed up the training of the prediction model without compromising accuracy, and is also very beneficial when features are sparse.

[0138] In addition, a method combining simple cross validation and K-fold cross validation is used to train and select the prediction model. Specifically, the data set is divided into training data and test data in a certain ratio, the training data is used to train and verify the model, and the test data is used for the final evaluation of the learning method. In addition, the training data is randomly divided into several sub-datasets of the same size that do not cross each other, and a part of the sub-datasets is used to train the model, and the other sub-datasets are used to verify the model. Then, after multiple repetitions, the model with the highest accuracy is selected or the models are fused to obtain the final prediction model.

[0139] Next, the model application step is executed to apply the prediction model obtained in the above modeling step to the current transaction record or the current log information. Then, the current project stage of the user and the deadline of the current project stage are determined based on the current user information. When the deadline of the current project stage has exceeded, that is, when the current project stage ends and enters the next project stage, a third transport instruction is issued in the transport instruction step S3. Then, the first category of items of the next project stage based on the prediction model are transported to the user using the first storage 1, or a list of the first category of items is provided to the user.

[0140] For example, according to the project model generated by the modeling step, the user's project is divided into three stages: the early stage, the middle stage, and the late stage according to the time of the project. Here, the first-class items corresponding to the three stages are set as "gloves", "masks" and "tapes". In this case, the user's current transaction record and current project information are obtained from the log information, and the current project information is compared with the project model to obtain that the user is currently in the middle stage of the project. In other words, the current first-class item is a "mask". Here, during the middle stage, the "mask" is delivered to the first depository 1. If the result of the comparison shows that the user is not in the middle stage but in the late stage, the first-class item is adjusted to "tapes" and the "tapes" are delivered to the first depository 1 to provide timely delivery corresponding to the actual needs of the user.

[0141] [Trial calculation method of inventory]

[0142] In addition, in order to ensure that the service level for the user is not affected between two deliveries, the storage quantity of the articles stored in the first storage 1 may be calculated according to the actual capacity or storage quantity of the first storage 1. As an example, the theoretical storage quantity is calculated based on the actual usage characteristics of the user, the delivery cycle, and the product variation coefficient (variation coefficient). For example, the following methods are included in the calculation, but are not limited to these methods.

[0143] In the first method, information related to the first storage place 1, such as the storage space of the first storage place 1 and the maximum storage capacity of a single compartment, is obtained. In addition, a user acquisition record for a certain period in the past is obtained. The user acquisition record includes the number of users who have received items, the frequency of receipt, the number of times of receipt, and information for identifying the person in charge of receipt, but is not limited to this information. However, this information is the main information. Once the information is obtained, auxiliary information such as the distance between multiple first storage places 1 and the special conditions of each user is obtained.

[0144] Then, when the acquisition of information is completed, the first-level logical calculation is performed and the calculation results are recorded. Specifically, the average weekly request volume, the weekly maximum request volume, the weekly standard deviation (standard deviation), the coefficient of variation (coefficient of variation) and other related information of the user are calculated according to the user's request data, and then the safety rate of each item is set. In addition, the storage volume of each item at the first level is calculated in combination with the current transportation frequency. Then, the calculation results are recorded.

[0145] Next, the calculation result is compared with the space of the first storage 1. If the space is filled with the calculated amount of items, the trial calculation logic is used to set the storage capacity of the first storage 1 according to the calculation result. On the other hand, if the space is not filled with the calculated amount of items, follow-up support is performed.

[0146] In the second mode, when the space in the first storage 1 is insufficient, multiple amounts are used. That is, in order to match the calculation result, a new minimum amount is added based on the existing minimum amount. In the following description, the added minimum amount is used, but it is not limited to this.

[0147] Using the user's order data (or purchase entrustment data), detailed information such as the order time point and the orderer are assigned to the order quantity of each user of the order, and recorded as the unit order quantity. Within a certain period, the most frequent mode among the unit order quantities becomes the newly added minimum quantity. In addition, if it is consistent with the current minimum quantity, the second mode is selected. Then, the new additional minimum quantity adopted is recorded. The theoretical additional minimum quantity is compared with the actual maximum quantity that can be configured in the storage compartment of the first storage 1. Then, the smaller value is selected as the final additional minimum quantity.

[0148] The two minimum request quantities corresponding to each item are obtained by combining the above situation. Then, the two minimum supplementary compartment numbers are assigned by combining the number of occurrences of the unit request quantity during the current delivery frequency period. Specifically, the number of the final additional minimum quantity contained in the request unit is larger than the newly added minimum request quantity. Then, the number of requests generated during the delivery frequency period is used as the number of compartments corresponding to the newly added minimum request quantity. After that, the storage quantity is predicted according to the above trial calculation logic, and the storage quantity as the calculation result is assigned to the compartment number.

[0149] After the compartment numbers are assigned, they are compared with the space in the first storage 1. Then, if the space is full, the storage quantity, two minimum request quantities, and the corresponding compartment numbers are used as the calculation results. On the other hand, if the space is not full, further adjustments are made.

[0150] In the third aspect, when the minimum amount is not satisfied even by the above-mentioned aspect, the safety factor is readjusted according to the coefficient of variation of the articles, but the present invention is not limited to this.

[0151] Specifically, the safety rate is set based on the fixation of the two minimum requested quantities. If the coefficient of variation is large, the safety rate becomes larger, and if the coefficient of variation is small, the safety rate becomes smaller. With the premise of filling the space of the first storage 1 and the maximum inventory as the goal, the overall safety rate is adjusted up and down until the maximum inventory is reached. The inventory of each item is determined at this point in time. This adjustment is recorded as the adjustment result of the second level.

[0152] In summary, the overall management of inventory calculations includes the above solutions, but is not limited to them. All aspects are linked and can be achieved through one method or a combination of two methods. The goal is always to improve user efficiency and improve the level of customer service. At the same time, the frequency of transportation can be reduced.

[0153] In the above embodiments of this specification, numbers S1 and S4 are added to each step, but the numbers are added for convenience of explanation and are not used to limit the execution order of each step. In addition, in this embodiment, the memory 4a is a non-transitory computer-readable recording medium, which can include a ROM (Read Only Memory), a PROM (Programmable Read Only Memory), an EPROM (Erasable Programmable Read Only Memory), a flash memory, or any other device that can store program instructions or data when power is applied or not. Non-volatile memory.

[0154] In addition, the memory 4a can include volatile memories such as RAM (Random Access Memory), SRAM (Static Random Access Memory), DRAM (Dynamic Random Access Memory), and SDRAM (Synchronous Dynamic Random Access Memory). Furthermore, the memory 4a can also be implemented using other types of RAM.

[0155] The memory 4a can be implemented using a single memory module or multiple memory modules. In addition, although the memory 4a is illustrated as part of the computing device, those skilled in the art will recognize that the memory 4a can be separated from the computing device without departing from the scope of the present invention.

[0156] Processor 4b includes a general-purpose processor, a processor core, a multi-processor, a relocatable processor, a microcontroller, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a GPU (Graphic Processing Unit), an FPGA (Field Programmable Gate Array), a PLD (Programable Logic Device), a controller, a state machine, gate logic, discrete hardware components or other arbitrary processing units, and a combination of one or more of these processors.

[0157] In addition, the computer device is a common computing system, an embedded controller, a portable computing device, a server, a mobile device, a smart phone, an in-vehicle information system, one or more processors associated with a monitor, a custom machine, other hardware platforms, or a combination of these computer devices. Furthermore, the computer device can also be configured as a distributed system formed by multiple computer devices interconnected by a network data or bus system.

[0158] The description of each embodiment in the above-mentioned multiple embodiments will focus on each feature, and the part not described in detail in a certain embodiment can also refer to the related description of other embodiments. In addition, the technical solutions of different embodiments can also be combined with each other. The solution after the combination still belongs to the protection scope of the present invention. In addition, the present invention is not limited to the above-mentioned embodiments. Inventions obtained by making changes within the scope of the present invention and inventions equivalent to the present invention are also included in the present invention.

[0159] A part or all of the above-mentioned embodiments can also be described as follows, but are not limited to the following description.

[0160] The article processing method includes the following steps: a conveying step, issuing an initial conveying instruction, wherein the initial conveying instruction is used to convey a first category of articles corresponding to a first frequency of use to a first storage that can be directly supplied to a user; an ordering step, receiving ordering information; and a conveying instruction step, receiving ordering information via the ordering step and selectively issuing a conveying instruction, wherein the conveying instruction includes a first conveying instruction and a second conveying instruction, the first conveying instruction includes a conveying instruction for conveying a second category of articles corresponding to a second frequency of use lower than the first frequency of use from a second storage different from the first storage to the first storage, and the second conveying instruction includes a conveying instruction for conveying a third category of articles corresponding to a third frequency of use lower than the second frequency of use from a third storage different from the first storage and the second storage to the first storage.

[0161] The logistics system comprises: a first storage place, which stores at least a first category of items corresponding to a first frequency of use and is capable of directly supplying the first category of items to users; a second storage place, which stores at least a second category of items corresponding to a second frequency of use lower than the first frequency of use; a third storage place, which stores at least a third category of items corresponding to a third frequency of use lower than the second frequency of use; an ordering device, which receives ordering information of items; and a transport instruction unit, which selectively issues a transport instruction in response to receiving the ordering information from the ordering device, wherein the transport instruction includes a first transport instruction and a second transport instruction, the first transport instruction including a transport instruction for transporting the second category of items from the second storage place to the first storage place, and the second transport instruction including a transport instruction for transporting the third category of items from the third storage place to the first storage place.

[0162] Thus, it is possible to classify items according to the frequency of use of the items and store the items in various storages. Then, an initial delivery instruction is generated on a server or other information terminal through pre-set user demand information or temporarily acquired user demand information. In addition, based on the initial delivery instruction, first-category items that can be directly supplied to the user are supplied to the first storage. Moreover, a second storage and / or a third storage are provided for storing second-category items and / or third-category items. Thus, users can pick up frequently used first-category items more quickly and conveniently. In addition, frequently used items are quickly delivered to the first storage according to ordering requirements. Moreover, the delivery speed of second-category items with a medium frequency of use can be increased, and the inventory backlog of third-category items with a low frequency of use can be further reduced.

[0163] Preferably, the distance between the third storage place and the first storage place is greater than the distance between the second storage place and the first storage place.

[0164] Preferably, the article handling method further comprises a setting step, in which a setting instruction is issued to select and set a corresponding first storage place according to the size of the first category of articles.

[0165] Thus, a first storage having a corresponding structure or size is selected and set according to the size of the article. Therefore, the adaptability of the first storage to different articles can be improved, and the storage requirements of different first-category articles can be met under various conditions. In particular, the fact that the entire system includes a setting process means that the article provider can set up a storage, and the enterprise as a user can avoid unnecessary increase in costs caused by setting up a storage.

[0166] Preferably, in the ordering step of the article handling method of the present invention, the ordering information specifically refers to ordering information of an ordering device built into or installed near the first storage place, and the ordering information includes article type information.

[0167] Thus, the source of the order information in the article handling method of the present invention can be further clarified, and the interaction between humans and machines can be made easier by adding an ordering device. In addition, the type information of the object article is determined and the result is reflected in the order information, so that the operation method provided by the subsequent delivery instruction step becomes more convenient and correct.

[0168] Preferably, in the article processing method of the present invention, the order information includes the user's first-level order information and second-level review information.

[0169] Thus, the user's order information and review information are reflected in the order information, and the review information is combined with the user and the item, so that the statistics and management of the storage / supplement information can be performed more easily. In addition, even if the user's order information is inappropriate or useless, the review function can be used to restrict it. Moreover, when the review information is included, the next delivery operation can be started, which can avoid the user's inappropriate purchase.

[0170] Preferably, the order information received in the ordering step includes image information of the desired item.

[0171] Thus, the image information can enrich the item information in the order information, thereby reducing the difficulty of searching for items and avoiding misdelivery to some extent. In particular, the items can be scanned by the first depository or the ordering device arranged near the first depository. Thus, the ordering step is completed by directly providing the image information of the product to the server and then further recognizing the image information. Therefore, ordering becomes very convenient and quick, greatly improving the user experience.

[0172] Preferably, the ordering step further includes an alarm step, and when the ordering information includes alarm information, order abnormality information is sent to the user.

[0173] Thus, an alarm step is added after the ordering step to establish a cycle chain of order acquisition, review, alarm, and feedback to the user. Therefore, warehouse management is further strengthened, which is conducive to improving the accuracy of delivery. In particular, when a large number of staff members who are part of the user place wrong orders, by notifying the user with warning information, internal investigations can be easily carried out, thereby improving production efficiency.

[0174] Preferably, the warning information includes any one of an abnormality in the identification information, an abnormality in the first-level order information, and an abnormality in the second-level review information.

[0175] Thus, by issuing an alarm for abnormal items in user identification information, user order information, and secondary review information, it is possible to prevent external users from arbitrarily using internal information or users from using items beyond their usage rights or usage quantities. Therefore, the management of taking out items from the storage facility can be further strengthened.

[0176] Preferably, the article processing method of the present invention further comprises a receiving step, in which article delivery information is received and the article data is updated.

[0177] Thus, by adding a receiving step, the replenishment status of the first storage can be fed back in time and the article information can be updated in time. Therefore, the reliability of the transportation process can be improved, and the control and management of the warehouse quantity can be strengthened by updating the inventory information in time.

[0178] Preferably, the time difference between the conveying instruction step and the receiving step of the article handling method is appropriately changed according to the conveying instruction.

[0179] Thus, according to different transport instructions, the time required to transport items from different storages to users using the first storage is different. For example, the time required to transport items from the second storage to users using the first storage (preferably within 4 hours) varies according to different parameters such as distance. The transport instructions can be adjusted based on parameters such as distance, thereby forming different time differences.

[0180] Preferably, in the delivery instruction step, the delivery instruction is issued after receiving the order information in the ordering step, and the delivery instruction is issued if no subsequent order information associated with the first depository is received within a certain time from the receipt of the order information.

[0181] Thus, in the delivery instruction step, the condition from receiving the order information until issuing the order information is limited to the case where no subsequent order information is received within a certain period. Therefore, it is possible to avoid issuing a delivery instruction shortly after receiving the order information and requiring two deliveries in a short period of time for subsequent orders.

[0182] Furthermore, in the delivery instruction step, the instruction for responding to the order information received from the ordering step includes an instruction for adding the required items associated with the order information to the reserved list. In addition, the instruction includes: if the amount of the items corresponding to the purchase list is above a preset amount threshold, a delivery instruction is issued. Thus, by setting the amount in advance and supplying orders reaching a certain amount in a centralized manner, supply efficiency can be effectively improved.

[0183] Preferably, when the transport instruction issued in the transport instruction step is for transport from the second depository to the location of the first depository, the time difference between the transport instruction step and the transport step is within 4 hours, and when the transport instruction issued in the transport instruction step is for transport from the third depository to the location of the first depository, the time difference is within 24 hours.

[0184] Thus, different transport instructions can be defined, that is, the time for transporting items with different usage frequencies from different storages to the location of the first storage can be defined. Therefore, the user range covered by the third storage and the second storage can be limited to a certain extent, thereby ensuring the transport time while improving the transport efficiency.

[0185] Preferably, in the delivery instruction step, the step of issuing a delivery instruction in response to receiving order information from the ordering step includes the following steps: calculating the item and related item information in the order information according to a specified function, and when specified conditions are met, issuing a delivery instruction for simultaneously delivering the items and related items in the order information.

[0186] Therefore, by predicting the subsequent loss of related items based on data correlation, supply efficiency can be further improved.

[0187] Preferably, in the transport instruction step, the transport instruction also includes a third transport instruction, and the third transport instruction includes instructions for transporting the first category articles or providing a list of the first category articles to a user utilizing the first storage facility.

[0188] Thus, when the first category items in the first storage are insufficient, they can be delivered to the user using the first storage. In addition, even if a contract is signed with the user in advance, the first category items as part of the contract can be placed in other storages and quickly delivered from other storages.

[0189] Preferably, the delivery instruction step includes a prediction step, in which it is determined which items belong to the first category of items within a certain period of time thereafter based at least on the current transaction record of the first depository or the current log information of the user corresponding to the first depository.

[0190] Thus, the current transaction records of the first depository can effectively reflect the past transaction habits of the user. In addition, the current log information of the user corresponding to the first depository can effectively reflect the types of transactions that the user may have in the future. Therefore, the first category of items with the first frequency of use can be correctly predicted. Moreover, the first category of items can be flexibly adjusted, and the actual needs of the user can be further met according to the types of items stored in the first depository.

[0191] Preferably, the prediction step includes a modeling step and a model application step, in which a project model and a prediction model with different stages are provided, each stage of the project model has a unique type of item belonging to the first category of items, and in the model application step, a third transport instruction is issued when the deadline of the current project stage has expired, and the first category of items in the third transport instruction are determined based on the first category of items in the next project stage.

[0192] Thus, the method of handling items predicts the user's project and the project stage the user is currently in. Then, when entering the next project stage, the types of items in the first storage are updated in a timely manner to meet the actual needs that continue to change according to the user's project.

[0193] Preferably, the prediction step includes a modeling step and a model application step, in which a project model and a prediction model with different stages are provided, each stage of the project model has a unique type of item belonging to the first category of items, and in the model application step, the current project stage and the duration of the current project stage are judged based on current transaction records or current log information.

[0194] Preferably, in the delivery step, the updating of the item information includes comparing the updated new item information with the order information.

[0195] Preferably, the delivery instruction step includes a prediction step, in which the distribution amount of the first category of items, the second category of items or the third category of items in different depositories within a certain period is calculated based on at least the current transaction records of the first depository, the second depository or the third depository.

[0196] As a result, the current transaction records of the first depository can effectively reflect the user's past transaction habits. Moreover, in the current transaction records, when the actual consumption of some first-category items is large and deviates from the expected consumption, the allocation of different depositories can be adjusted quickly and timely. Therefore, it is possible to take into account both the logistics speed and the improvement of the space utilization rate of the depository.

[0197] Preferably, the first storage location is an automatic vending machine installed at a location where the user is or near the location.

[0198] Thus, users can take out articles by themselves, so the installation area of ​​the storage can be reduced. In addition, not only can the articles be picked up conveniently and quickly, but also the labor cost generated by the manager of the storage individually configured by the user can be saved.

[0199] Preferably, the first depository includes an authentication device and a plurality of storage compartments, the user includes a plurality of sub-users, the logistics system records the respective permissions of each sub-user, and the first depository opens the door of the corresponding depository based on the permissions of the sub-users identified by the authentication device.

[0200] Thus, sub-users, such as company staff, can at least order the first category of items (such as commonly used consumables) within their authority and settle the bills through the logistics system. Therefore, the ordering and settlement process can be simplified to improve the efficiency of the logistics system.

[0201] Preferably, the authority corresponds to the type and quantity of first category articles that the sub-user can receive, and the first storage opens the door of the storage compartment containing the corresponding type and quantity of first category articles according to the authority of the sub-user identified by the authentication device.

[0202] Thus, each sub-user can obtain a reasonable amount of first-category items according to pre-set rules, which can improve the safety and rationality of distribution of the first-category items.

[0203] Preferably, the first depository further includes an inventory management module, which monitors the inventory level of the first category of items in the first depository and sends a transport request when the inventory level is less than a threshold.

[0204] Thus, when the inventory of the first category items drops below the threshold, the first category items are automatically delivered. Therefore, the inventory of the first category items can always be maintained above a reasonable level, and sufficient supply of the first category items can be guaranteed.

[0205] As a preferred embodiment, the first depository further includes an inventory management module that periodically sends a delivery request based on the order information.

[0206] This enables the items to be transported regularly based on a predetermined rule, making it possible to facilitate the arrangement of settlement and transportation.

[0207] Preferably, the server has a processor and a memory, wherein the memory stores instructions that can be read when the processor executes the above-mentioned article processing method. In addition, the computer-readable medium stores instructions that, when executed by the processor of the computing device, cause the computing device to execute the above-mentioned article processing method.

[0208] Description of Reference Numerals

[0209] 1, 1a, 1b, 1c: first depository; 10: storage compartment; 11: authentication device; 12: unlocking unit; 13: receiving unit; 14: inventory management module; 2: second depository; 3: third depository; 21: order receiving unit; 31: order receiving unit; 4: server; 41: transport instruction unit (transport instruction component); 4: server (logistics management device); 4a: memory; 4b: processor (acquisition component, classification component and update component); 5: ordering device; DB: self-service machine database; DB1: first category item database; DB2: second category item database; DB3: third category item database; DB4: user authority database.

Claims

1. A logistics management device, comprising a processor, for managing a first storage place storing first-category articles, wherein: The processor performs the following processing: receiving ordering information of the first category of items from a user; Sending the order information to a person with review authority; Acquiring review information generated by a person with the review authority after reviewing the order information; determining whether the order information is abnormal based on the order information and the review information; as well as When it is determined that the order information is abnormal, a warning message is included in the order information, and the order abnormality information is sent to the user, wherein the warning message includes any one of the abnormal content of the user identification information, the abnormal content of the order information, and the abnormal content of the review information, or information indicating a combination of the abnormal content of the user identification information, the abnormal content of the order information, and the abnormal content of the review information as the content of the abnormal situation.

2. The logistics management device according to claim 1, wherein: The processor determines that the ordering information is abnormal in at least any one of the following situations: the user does not have the authority to use the first storage facility, the user does not have the authority to order the ordered items, the quantity of the ordered items exceeds the maximum storage capacity of the first storage facility, and the number of orders by the user exceeds a threshold set according to the user's authority.

3. The logistics management device according to claim 1 or 2, wherein: The logistics management device manages a logistics system using the first storage house, the second storage house, and the third storage house, wherein the second storage house is used to store second-category articles delivered to users who use each of the first storage houses, and the third storage house is used to store third-category articles delivered to users who use each of the first storage houses corresponding to the second storage houses. The processor performs the following processing: Obtaining the frequency of use of items by each user; and Based on the usage frequency of multiple users belonging to the transport object area set for the third storage, the items corresponding to the first usage frequency are classified as the first category of items, the items corresponding to the second usage frequency lower than the first usage frequency are classified as the second category of items, and the items corresponding to the third usage frequency lower than the second usage frequency are classified as the third category of items.

4. A control method for a logistics management device, wherein the logistics management device manages a first storage facility storing first-category articles, wherein: receiving ordering information of the first category of items from a user, Send the order information to a person with review authority, obtaining review information generated by a person with the review authority after reviewing the order information, determining whether the order information is abnormal based on the order information and the review information, When it is determined that the order information is abnormal, a warning message is included in the order information, and the order abnormality information is sent to the user, wherein the warning message includes any one of the abnormal content of the user identification information, the abnormal content of the order information, and the abnormal content of the review information, or information indicating a combination of the abnormal content of the user identification information, the abnormal content of the order information, and the abnormal content of the review information as the content of the abnormal situation.

5. A control program of a logistics management device, the logistics management device managing a first storage place storing first category articles, wherein: The control program of the logistics management device causes the processor of the logistics management device to perform the following processing: receiving ordering information of the first category of items from a user; Sending the order information to a person with review authority; Acquiring review information generated by a person with the review authority after reviewing the order information; determining whether the order information is abnormal based on the order information and the review information; as well as When it is determined that the order information is abnormal, a warning message is included in the order information, and the order abnormality information is sent to the user, wherein the warning message includes any one of the abnormal content of the user identification information, the abnormal content of the order information, and the abnormal content of the review information, or information indicating a combination of the abnormal content of the user identification information, the abnormal content of the order information, and the abnormal content of the review information as the content of the abnormal situation.

Citation Information

Patent Citations

  • Intelligent warehousing management method, apparatus, system and unmanned intelligent warehousing device

    JP2019036308A

  • Locker terminal, automatic distribution method and automatic distribution system

    CN105023134A

  • Warehouse management system, warehouse, and warehouse management method

    CN107408285A

  • Rack management system and rack management method

    CN109703969A

  • Article management assistance device, article management assistance system, and article management assistance method

    CN110520372A