WO2020224342A1 - 退货任务的生成方法、装置、设备和存储介质 - Google Patents

退货任务的生成方法、装置、设备和存储介质 Download PDF

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Publication number
WO2020224342A1
WO2020224342A1 PCT/CN2020/080453 CN2020080453W WO2020224342A1 WO 2020224342 A1 WO2020224342 A1 WO 2020224342A1 CN 2020080453 W CN2020080453 W CN 2020080453W WO 2020224342 A1 WO2020224342 A1 WO 2020224342A1
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Prior art keywords
return
item
information
purchase information
return condition
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PCT/CN2020/080453
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English (en)
French (fr)
Inventor
齐云峰
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北京京东振世信息技术有限公司
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Publication date
Priority claimed from CN201910380108.0A external-priority patent/CN112001664B/zh
Application filed by 北京京东振世信息技术有限公司 filed Critical 北京京东振世信息技术有限公司
Priority to JP2021562154A priority Critical patent/JP7270064B2/ja
Priority to US17/604,050 priority patent/US20220222680A1/en
Publication of WO2020224342A1 publication Critical patent/WO2020224342A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0837—Return transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/01—Customer relationship services
    • G06Q30/015—Providing customer assistance, e.g. assisting a customer within a business location or via helpdesk
    • G06Q30/016—After-sales
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/01—Customer relationship services
    • G06Q30/014—Providing recall services for goods or products
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • This application relates to logistics technology, such as a method, device, equipment and storage medium for generating a return task.
  • the method of item return is often through the warehouse staff regularly based on the supplier's return conditions to manually determine the current items that need to be returned to the supplier, and manually create a return task based on the determined items to generate a return order.
  • This application provides a method, device, equipment, and storage medium for generating a return task to improve return efficiency and accuracy.
  • the embodiment of the application provides a method for generating a return task, including:
  • the configuration information includes return condition information corresponding to at least one piece of purchase information
  • An embodiment of the present application also provides a device for generating a return task, including:
  • the purchasing information acquisition module is set to acquire the purchasing information of the item
  • the target return condition determination module is configured to match the purchase information with the configuration information in the return database to determine the target return condition corresponding to the item; wherein the configuration information includes at least one piece of purchase information corresponding to return condition information ;
  • the return task generating module is configured to generate a return task corresponding to the item when it is detected that the item meets the target return condition.
  • An embodiment of the present application also provides a device, which includes:
  • One or more processors are One or more processors;
  • Memory set to store one or more programs
  • the one or more processors When the one or more programs are executed by the one or more processors, the one or more processors implement the method for generating a return task provided in any embodiment of the present application.
  • the embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method for generating a return task as provided in any embodiment of the present application is realized.
  • FIG. 1 is a flowchart of a method for generating a return task provided in Embodiment 1 of the present application;
  • Fig. 2 is a flowchart of a method for generating a return task provided in the second embodiment of the present application
  • FIG. 3 is a schematic structural diagram of a device for generating a return task provided in Embodiment 3 of the present application;
  • FIG. 4 is a schematic structural diagram of a device provided in Embodiment 4 of the present application.
  • Figure 1 is a flow chart of a method for generating a return task provided in the first embodiment of the application.
  • This embodiment can be applied to the return inspection of items in the warehouse, so that the current items that need to be returned are returned to the supplier in time .
  • This method can be executed by a device for generating return tasks, which can be implemented by software and/or hardware, and integrated in equipment with information processing functions, such as desktop computers, notebook computers, and so on. The method includes the following steps:
  • An article can refer to any kind of commodity purchased from a supplier.
  • the purchase information may include, but is not limited to, at least one of supplier information, purchaser information, and purchase batch information.
  • the purchase information of any item stored in the warehouse can be obtained, so as to perform return inspection on the item.
  • the returned goods database can be used to store configuration information corresponding to multiple items.
  • the configuration information may include return condition information corresponding to the purchase information of each item.
  • the return condition information corresponding to each purchase information may include but is not limited to at least one return condition.
  • the return condition information may also include priority information corresponding to each return condition.
  • the return conditions in this embodiment may refer to conditions that should be met when the item is returned, such as returning the item within 25 days of purchase, or returning the excess item when the inventory exceeds 500 pieces, and so on. Return conditions can be formulated by the supplier and/or purchaser based on business scenarios and actual needs.
  • the return conditions in this embodiment may change from time to time. When the return conditions are changed or new return conditions are added, the configuration information in the return database can be updated or added in real time, so as to realize the dynamic and flexible configuration of the return condition information without relying on manual memory and notification.
  • the purchase information of the item is matched with multiple pieces of purchase information stored in the return database, and based on the correspondence between each piece of purchase information stored in the return database and the return condition information, the match in the return database is determined.
  • the return condition information corresponding to the successful purchase information, and the target return condition corresponding to the item is determined according to the return condition information. Since the return condition information stored in the current return database is the latest information, the target return condition determined based on the return database is the latest and most appropriate return condition corresponding to the item, so as to improve the accuracy of the item return.
  • the target return condition is: return the product within 25 days of purchase
  • a return task can be generated based on the inventory of the item and the storage location of the item, so that the item can be returned. If the target return condition is: the excess item will be returned when the inventory exceeds 500 pieces, then it can be determined whether the quantity of the item exceeds 500 pieces according to the inventory quantity of the item.
  • a return task can be generated according to the returned quantity and storage location of the item, so that the item can be returned.
  • This embodiment can automatically detect whether the item needs to be returned based on the latest and most suitable target return condition corresponding to the item, and automatically generate a return task when the item needs to be returned, thereby improving the accuracy and efficiency of the return.
  • the technical solution of this embodiment uses the return database to store and configure the return condition information corresponding to the purchase information of various items, so that when the return condition changes, the dynamic and flexible configuration of the return condition information can be realized without relying on manual memory and notification. And by matching the purchase information of the item with the configuration information in the return database, the target return condition corresponding to the item can be automatically determined, so that the item can be returned detection based on the current latest and most suitable target return condition, and when the target return condition is met When the conditions are met, the return task corresponding to the item can be automatically generated, and the entire return task generation process does not require manual participation, which realizes the automation of the return task generation, thereby improving the efficiency and accuracy of the return.
  • the return database may include a purchasing information configuration master table and a return condition sub-table; among them, the purchasing information configuration master table is used to store at least one piece of purchase information; the return condition sub-table is used to store each piece of purchase information correspondence At least one return condition information.
  • the return database can be designed by adopting the relationship between the main and sub-tables, which makes the configuration more concise, saves data storage space, and improves the data query efficiency of the return database.
  • the main purchasing information configuration table and the return condition sub-table can be associated with the purchasing information identifier.
  • Table 1 shows an example of a main table for purchasing information configuration.
  • Table 2 shows an example of a return condition subtable.
  • each purchase information in the purchase information configuration master table can include the supplier's short code, the supplier's name, the salesperson code, the salesperson's name, and the purchase batch number.
  • each return condition information may include a return condition identifier (ID), return condition code, return condition content, and priority weight. Among them, the higher the priority weight, the higher the priority of the return condition.
  • Table 1 The main table of purchasing information configuration
  • S120 may include: matching the purchase information of the item with multiple pieces of purchase information in the purchase information configuration main table, and determine the purchase information identifier that is successfully matched ; From the return conditions sub-table, query the return conditions to be selected corresponding to the purchase information identifier; if there are at least two return conditions to be selected, determine the target return conditions corresponding to the item according to the priority information corresponding to each return condition to be selected .
  • the purchase information of the item when matching the purchase information of the item with the configuration information in the return database, can be matched with multiple purchase information in the purchase information configuration master table.
  • the purchase information identifier corresponding to the successfully matched purchase information can be determined. Then use the purchase information identifier to query in the return condition sub-table, so that multiple return conditions corresponding to the purchase information identifier in the return condition sub-table can be obtained, and the multiple return conditions obtained in the query are used as the return conditions to be selected. If there is only one return condition to be selected, the return condition to be selected can be directly determined as the target return condition corresponding to the item.
  • the priority information corresponding to each return condition to be selected can be obtained from the return conditions sub-table, such as priority weight, and based on the priority information, multiple return conditions can be selected Sort, at this time, the candidate return condition with the highest priority weight value can be used as the target return condition. If there are at least two candidate return conditions with the same priority weight, the candidate return condition with the highest popularity value can be determined as the target return condition corresponding to the item according to the frequency of use corresponding to each candidate return condition, that is, the heat value. .
  • the return task after generating the return task corresponding to the item, it also includes: based on the return task, control the sorting equipment to pick the goods; when the picking is completed, control the return equipment to return the picked items .
  • the sorting equipment may include, but is not limited to, a sorting robot or a sorting robot arm.
  • Return equipment may include, but is not limited to, packaging robots, transportation robots, loading equipment, and delivery vehicles.
  • the sorting device can be controlled to sort out all the items in the return task, and after the picking is completed, the packing robot can be controlled to pack the sorted items and control
  • the transport robot transports the packaged items to the loading location, and controls the loading equipment to automatically load the items into the configuration vehicle, so that the items can be automatically sorted out of the warehouse, and the return efficiency of the items is improved.
  • Fig. 2 is a flowchart of a method for generating a return task provided in the second embodiment of the application.
  • this embodiment describes the method for detecting the return of various items in the warehouse. The explanation of the terms that are the same as or corresponding to the above-mentioned embodiment will not be repeated here.
  • the method for generating a return task includes the following steps:
  • the multiple items when performing return inspections on multiple items in a warehouse, the multiple items may be grouped based on the purchase information of the items to obtain multiple item groups, where the purchase of multiple items in each item group The information is the same.
  • the current item group can refer to any item group.
  • the purchase information corresponding to the current item group is the purchase information corresponding to multiple items in the current item group.
  • S210 may include: according to the purchase information of the various items, the various items are combined and grouped based on the multiple purchase parameters, and the multiple item groups and the purchase information corresponding to the current item group among the multiple item groups are determined.
  • the procurement parameters can refer to, but are not limited to, suppliers, procurement and sales personnel, and procurement batch numbers.
  • a purchaser purchases multiple items from a supplier, so that the purchase information of these items is the same, so that all items can be combined and grouped based on multiple purchase parameters. To determine multiple items corresponding to the same purchase information. In this embodiment, all items can be combined and grouped one by one based on each purchase parameter.
  • the multiple procurement parameters are the supplier, the purchaser and the purchase batch number
  • all the items can be grouped and merged according to the procurement parameter of the supplier to determine the first item corresponding to each supplier Group, where the suppliers of multiple items in the first item group are the same; then based on the procurement parameter of the purchaser, the multiple items in each first item group are grouped and merged to determine each first item
  • Each purchaser in the group corresponds to the second item group, where the supplier and purchaser of multiple items in the second item group are the same; finally, each second item is determined based on the purchase parameter of the purchase batch number
  • Multiple items in the group are grouped and merged, and the third item group corresponding to each purchase lot number in each second item group is determined.
  • the supplier and purchaser of the multiple items in the third item group It is the same as the purchase batch number.
  • each determined third item group can be regarded as the current item group one by one.
  • S220 Match the purchase information corresponding to the current item group with the configuration information in the return database, and determine the target return condition corresponding to the current item group.
  • the item group can be used as a unit to match the purchase information corresponding to the current item group with multiple items of purchase information in the return database, and determine the current item based on the correspondence between each item of purchase information and the return condition information
  • the target return condition corresponding to the item group may be the return condition on which each item in the current item group is subjected to return inspection.
  • the current item group determined according to the return database corresponds to multiple return conditions to be selected, and the priority weight of each return condition to be selected is the same, then when the number of return conditions to be selected is less than the preset quantity, you can Determine the return conditions to be selected as the target return conditions corresponding to the current item group, and cycle these target return conditions to determine the target return conditions corresponding to each item in the current item group to improve the determination of the target return conditions Flexibility.
  • the target return condition corresponding to the item group can be obtained, and there is no need to match the data of the return database for each item one by one, thereby improving the return efficiency.
  • based on the target return condition corresponding to the current item group it is detected whether each item in the current item group meets the target return condition, and a return task is generated based on all items that meet the target return condition, so that one or Multiple items are returned at the same time, which improves the efficiency of return.
  • S230 may include: according to the inventory information of each item in the current item group, detecting whether each item in the current item group meets the target return condition; according to the inventory information corresponding to each target item that meets the target return condition , Generate at least one return task corresponding to the target item.
  • the inventory information of the item may include, but is not limited to, at least one of the inventory amount, purchase time, storage time, invoice time, and item price of the item.
  • each target item that meets the target return condition is determined, that is, the target that needs to be returned in the current item group article.
  • the information of the target item can be pushed to the module that generates the return task in a message queue, so that the program can pass in the message Sending data for communication instead of directly calling the interface for communication can improve the efficiency of pushing and the efficiency of generating return tasks.
  • the target return condition corresponding to the item group is determined according to the purchase information corresponding to the predetermined item group, so that the target return condition corresponding to each item in the item group can be obtained.
  • Conditions there is no need to match the data in the return database for each item one by one, which can improve the efficiency of return.
  • the following is an example of the device for generating a return task provided by an embodiment of the present application.
  • the device and the method for generating a return task of the foregoing embodiment belong to the same application concept.
  • the content that is not described in the embodiment of the device for generating a return task is You can refer to the foregoing embodiment of the method for generating a return task.
  • Figure 3 is a schematic structural diagram of a device for generating a return task provided in the third embodiment of the application. This embodiment can be applied to the return inspection of items in the warehouse, so as to return the items that currently need to be returned to the supplier in time ,
  • the device includes: a purchasing information acquisition module 310, a target return condition determination module 320, and a return task generation module 330.
  • the purchasing information acquisition module 310 is set to acquire the purchasing information of the item; the target return condition determination module 320 is set to match the purchase information with the configuration information in the return database to determine the target return condition corresponding to the item; wherein, the configuration information The return condition information corresponding to at least one piece of purchase information is included; the return task generating module 330 is configured to generate a return task corresponding to the item when it is detected that the item meets the target return condition.
  • the return database includes a purchasing information configuration master table and a return condition sub-table; wherein the purchasing information configuration master table is used to store at least one piece of purchasing information; the return condition sub-table is used to store at least one return condition corresponding to each piece of purchasing information information.
  • the target return condition determination module 320 is set to match the purchase information of the item with multiple pieces of purchase information in the main purchase information configuration table to determine the purchase information identifier that matches successfully; from the return condition sub-table, Query the return condition to be selected corresponding to the purchase information identifier; if there are at least two return conditions to be selected, the target return condition corresponding to the item is determined according to the priority information corresponding to each return condition to be selected.
  • the purchasing information obtaining module 310 is configured to obtain purchasing information corresponding to a predetermined current item group, wherein the current item group includes at least two items, and the purchase information of the at least two items is the same.
  • the target return condition determination module 320 is configured to match the purchase information corresponding to the current item group with the configuration information in the return database to determine the target return condition corresponding to the current item group;
  • the return task generating module 330 is configured to generate a return task for at least one item when it is detected that at least one item in the current item group meets the target return condition.
  • the purchasing information acquisition module 310 is configured to: according to the purchasing information of the various items, the various items are combined and grouped based on the multiple purchase parameters, and the multiple item groups and the current item group in the multiple item groups are determined Corresponding purchasing information.
  • the return task generation module 330 is configured to: according to the inventory information of each item in the current item group, detect whether each item in the current item group meets the target return condition; according to each item that meets the target return condition The inventory information corresponding to the target item generates at least one return task corresponding to the target item.
  • the device further includes:
  • the sorting equipment control module is set to control the sorting equipment to pick the goods based on the return task after the return task corresponding to the item is generated; the return equipment control module is set to control the return equipment to complete the picking when the picking is completed Items are returned.
  • the device for generating a return task provided by an embodiment of the present application can execute the method for generating a return task provided in any embodiment of the present application, and has functional modules and effects corresponding to the method for performing the return task.
  • FIG. 4 is a schematic structural diagram of a device provided in Embodiment 4 of this application.
  • Figure 4 shows a block diagram of an exemplary device 12 suitable for implementing embodiments of the present application.
  • the device 12 shown in FIG. 4 is only an example, and should not bring any limitation to the function and use scope of the embodiments of the present application.
  • the device 12 takes the form of a general-purpose computing device.
  • the components of the device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).
  • the bus 18 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any bus structure among multiple bus structures.
  • these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, MicroChannel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (Video Electronics Standards Association) , VESA) local bus and Peripheral Component Interconnect (PCI) bus.
  • Device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the device 12, including volatile and non-volatile media, removable and non-removable media.
  • the system memory 28 may include a computer system readable medium in the form of a volatile memory, such as a random access memory (RAM) 30 and/or a cache memory 32.
  • the device 12 may include other removable/non-removable, volatile/nonvolatile computer system storage media.
  • the storage system 34 may be configured to read and write non-removable, non-volatile magnetic media (not shown in FIG. 4, usually referred to as a "hard drive").
  • a disk drive configured to read and write to a removable non-volatile disk (such as a "floppy disk") and a removable non-volatile optical disk (such as a compact disc read-only memory (Compact Disc)) can be provided.
  • a removable non-volatile disk such as a "floppy disk”
  • a removable non-volatile optical disk such as a compact disc read-only memory (Compact Disc)
  • the system memory 28 may include at least one program product.
  • the program product has a set of (for example, at least one) program modules configured to perform the functions of the embodiments of the present application.
  • a program/utility tool 40 having a set of (at least one) program module 42 may be stored in, for example, the system memory 28.
  • Such program module 42 includes but is not limited to an operating system, one or more application programs, other program modules, and programs Data, each of these examples or a combination may include the realization of a network environment.
  • the program module 42 usually executes the functions and/or methods in the embodiments described in this application.
  • the device 12 may also communicate with one or more external devices 14 (such as keyboards, pointing devices, displays 24, etc.), and may also communicate with one or more devices that enable a user to interact with the device 12, and/or communicate with
  • the device 12 can communicate with any device (such as a network card, modem, etc.) that can communicate with one or more other computing devices. Such communication can be performed through an input/output (Input/Output, I/O) interface 22.
  • the device 12 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the device 12 through the bus 18.
  • LAN local area network
  • WAN wide area network
  • public network such as the Internet
  • the processing unit 16 executes a variety of functional applications and data processing by running programs stored in the system memory 28, for example, to implement the steps of a method for generating a return task provided in the embodiment of the present invention, the method includes:
  • the purchase information of the item match the purchase information with the configuration information in the return database to determine the target return condition corresponding to the item; where the configuration information includes at least one piece of purchase information corresponding to the return condition information; when the item is detected to meet the target return When conditions are met, the return task corresponding to the item is generated.
  • the processor may also implement the technical solution of the method for determining the reserved inventory provided by any embodiment of the present application.
  • the fifth embodiment provides a computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the steps of a method for generating a return task as provided in any embodiment of the present application are realized, the method includes:
  • the purchase information of the item match the purchase information with the configuration information in the return database to determine the target return condition corresponding to the item; where the configuration information includes at least one piece of purchase information corresponding to the return condition information; when the item is detected to meet the target return When conditions are met, the return task corresponding to the item is generated.
  • the computer storage media in the embodiments of the present application may adopt any combination of one or more computer-readable media.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium may be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination of the above.
  • Examples of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable Erasable Programmable Read-Only Memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device.
  • the computer-readable signal medium may include a data signal propagated in baseband or as a part of a carrier wave, and computer-readable program code is carried therein. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium.
  • the computer-readable medium may send, propagate, or transmit the program for use by or in combination with the instruction execution system, apparatus, or device .
  • the program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to: wireless, wire, optical cable, radio frequency (RF), etc., or any suitable combination of the foregoing.
  • suitable medium including but not limited to: wireless, wire, optical cable, radio frequency (RF), etc., or any suitable combination of the foregoing.
  • the computer program code used to perform the operations of this application can be written in one or more programming languages or a combination thereof.
  • the programming languages include object-oriented programming languages, such as Java, Smalltalk, C++, and also conventional Procedural programming language-such as "C" language or similar programming language.
  • the program code can be executed entirely on the user's computer, partly on the user's computer, executed as an independent software package, partly on the user's computer and partly executed on a remote computer, or entirely executed on the remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to pass the Internet connection).
  • LAN local area network
  • WAN wide area network
  • the above-mentioned modules or steps of this application can be implemented by a general computing device. They can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Optionally, they can be executed by a computer device.
  • the program codes can be implemented by the program code, so that they can be stored in the storage device and executed by the computing device, or they can be made into multiple integrated circuit modules, or multiple modules or steps of them can be made into a single integrated circuit module. achieve. In this way, this application is not limited to any specific combination of hardware and software.

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Abstract

本文公开了一种退货任务的生成方法、装置、设备和存储介质，该方法包括：获取物品的采购信息；将采购信息与退货数据库中的配置信息进行匹配，确定物品对应的目标退货条件；其中，配置信息包括至少一条采购信息分别对应的退货条件信息；在检测到物品满足目标退货条件的情况下，生成物品对应的退货任务。

Description

退货任务的生成方法、装置、设备和存储介质
本申请要求在2019年05月08日提交中国专利局、申请号为201910380108.0的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及物流技术，例如涉及一种退货任务的生成方法、装置、设备和存储介质。
背景技术
随着电商企业的快速发展，仓库逆向流程不断完善。比如，存在的逆向场景有：仓库中的一些物品符合30天退货条件，则需要在商家下单30天内将仓库中的剩余物品退还给供应方。
相关技术中，物品的退货方式往往是通过库房人员定期基于供应方的退货条件来人工判断当前需要退还给供应方的物品，并根据判断出的物品手动创建退货任务，生成退货单。
相关技术中至少存在如下问题：由于库房人员的作业流程繁多，库房人员可能忘记或者遗漏掉当前需要退还给供应方的物品，导致没有及时进行退货，从而给公司带来严重的经济损失。而且供应方的退货条件也会不定期地发生变化，仅依靠人工宣传的方式会导致信息无法及时同步，使得库存人员无法根据最新的退货条件进行退货检测，从而导致出现退货错误的情况，降低了退货的准确性。并且通过人工手动创建退货任务，也大大降低了退货效率。
发明内容
本申请提供了一种退货任务的生成方法、装置、设备和存储介质，以提高退货效率和退货准确性。
本申请实施例提供了一种退货任务的生成方法，包括：
获取物品的采购信息；
将所述采购信息与退货数据库中的配置信息进行匹配，确定所述物品对应的目标退货条件；其中，所述配置信息包括至少一条采购信息分别对应的退货条件信息；
在检测到所述物品满足所述目标退货条件时，生成所述物品对应的退货任 务。
本申请实施例还提供了一种退货任务的生成装置，包括：
采购信息获取模块，设置为获取物品的采购信息；
目标退货条件确定模块，设置为将所述采购信息与退货数据库中的配置信息进行匹配，确定所述物品对应的目标退货条件；其中，所述配置信息包括至少一条采购信息分别对应的退货条件信息；
退货任务生成模块，设置为在检测到所述物品满足所述目标退货条件时，生成所述物品对应的退货任务。
本申请实施例还提供了一种设备，所述设备包括：
一个或多个处理器；
存储器，设置为存储一个或多个程序；
当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如本申请任意实施例所提供的退货任务的生成方法。
本申请实施例还提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如本申请任意实施例所提供的退货任务的生成方法。
附图说明
图1是本申请实施例一提供的一种退货任务的生成方法的流程图；
图2是本申请实施例二提供的一种退货任务的生成方法的流程图；
图3是本申请实施例三提供的一种退货任务的生成装置的结构示意图；
图4是本申请实施例四提供的一种设备的结构示意图。
具体实施方式
下面结合附图和实施例对本申请进行说明。此处所描述的具体实施例仅仅用于解释本申请，而非对本申请的限定。为了便于描述，附图中仅示出了与本申请相关的部分而非全部结构。
实施例一
图1为本申请实施例一提供的一种退货任务的生成方法的流程图，本实施例可适用于对仓库中的物品进行退货检测，以便将当前需要退货的物品及时退还给供应方的情况。该方法可以由退货任务的生成装置来执行，该装置可以由 软件和/或硬件的方式来实现，集成于具有信息处理功能的设备中，比如台式电脑、笔记本电脑等。该方法包括以下步骤：
S110、获取物品的采购信息。
物品可以是指从供应方处购买的任意一种商品。采购信息可以包括但不限于供应方信息、采销人员信息和采购批次信息中的至少一种。
本实施例可以获取仓库中存储的任意一种物品的采购信息，以便对该物品进行退货检测。
S120、将采购信息与退货数据库中的配置信息进行匹配，确定物品对应的目标退货条件；其中，配置信息包括至少一条采购信息分别对应的退货条件信息。
退货数据库可以用于存储多个物品对应的配置信息。配置信息可以包括每个物品的采购信息分别对应的退货条件信息。每条采购信息对应的退货条件信息可以包括但不限于至少一种退货条件。当一条采购信息对应多种退货条件时，退货条件信息还可以包括每种退货条件对应的优先级信息。本实施例中的退货条件可以是指物品退货时应满足的条件，比如在购买的25天内进行退货，或者库存量超过500件时将超出的物品进行退货等等。退货条件可以是供应方和/或采购方基于业务场景和实际需求制定的。本实施例中的退货条件可以不定期地发生变化。当在退货条件改变或者添加新的退货条件时，可以对退货数据库中的配置信息进行实时更新或添加，从而实现退货条件信息的动态灵活配置，无需依靠人工记忆和通知。
一实施例中，将物品的采购信息与退货数据库中存储的多条采购信息进行信息匹配，并基于退货数据库中存储的每条采购信息与退货条件信息之间的对应关系，确定退货数据库中匹配成功的采购信息所对应的退货条件信息，并根据该退货条件信息确定物品对应的目标退货条件。由于当前退货数据库中存储的退货条件信息均是当前最新的信息，从而基于退货数据库确定出的目标退货条件为该物品对应的最新且最适宜的退货条件，以提高物品退货的准确性。
S130、在检测到物品满足目标退货条件时，生成物品对应的退货任务。
本实施例可以基于物品的库存信息来检测该物品是否满足目标退货条件。示例性地，若目标退货条件为：在购买25天内进行退货，则可以根据该物品的购买时间和当前时间，确定该物品的购买时长是否未超过25天，若该物品的购买时长未超过25天，则表明该物品满足目标退货条件，此时可以根据物品的库存量和物品的仓储位置等信息生成退货任务，以便对该物品进行退货。若目标退货条件为：库存量超过500件时将超出的物品进行退货，则可以根据该物品 的库存量确定该物品的数量是否超过500件，若该物品的数量超过500件，则表明需要对该物品进行退货，此时可以根据该物品的退货数量和仓储位置等信息生成退货任务，以便对该物品进行退货。本实施例可以基于该物品对应的最新且最适宜的目标退货条件来自动检测该物品是否需要进行退货，并在需要进行退货时自动生成退货任务，从而提高了退货的准确度和效率。
本实施例的技术方案，通过利用退货数据库存储和配置多种物品的采购信息分别对应的退货条件信息，从而在退货条件改变时可以实现退货条件信息的动态灵活配置，无需依靠人工记忆和通知。并且通过将物品的采购信息与退货数据库中的配置信息进行匹配，可以自动确定出物品对应的目标退货条件，以便基于当前最新且最适宜的目标退货条件对物品进行退货检测，并在满足目标退货条件时，可以自动生成该物品对应的退货任务，整个退货任务的生成过程无需人工参与，实现了退货任务生成的自动化，从而提高了退货效率和准确性。
在上述技术方案的基础上，退货数据库可以包括采购信息配置主表和退货条件子表；其中，采购信息配置主表用于存储至少一条采购信息；退货条件子表用于存储每条采购信息对应的至少一个退货条件信息。
本实施例可以采用主子表关系设计退货数据库，使得配置更加简洁、节省数据存储空间，提高退货数据库的数据查询效率。采购信息配置主表和退货条件子表可以通过采购信息标识进行关联。表1给出了一种采购信息配置主表的示例。表2给出了一种退货条件子表的示例。如表1所示，采购信息配置主表中的每条采购信息可以包括供应方简码、供应方名称、采销员编码、采销员名称和购买批次号。如表2所示，采购信息标识1001这条采购信息对应三条退货条件信息，每条退货条件信息可以包括退货条件标识(Identifier，ID)、退货条件代码、退货条件内容和优先级权重。其中，优先级权重越高该退货条件的优先级越高。
表1 采购信息配置主表
Figure PCTCN2020080453-appb-000001
表2 退货条件子表
Figure PCTCN2020080453-appb-000002
示例性地，在退货数据库包括采购信息配置主表和退货条件子时，S120可以包括：将物品的采购信息与采购信息配置主表中的多条采购信息进行匹配，确定匹配成功的采购信息标识；从退货条件子表中，查询采购信息标识对应的待选退货条件；若存在至少两个待选退货条件，则根据每个待选退货条件对应的优先级信息，确定物品对应的目标退货条件。
一实施例中，在将物品的采购信息与退货数据库中的配置信息进行匹配时，可以先将物品的采购信息与采购信息配置主表中的多条采购信息进行匹配，在供应方简码、供应方名称、采销员编码、采销员名称和购买批次号等信息均匹配成功时，可以确定出该匹配成功的采购信息所对应的采购信息标识。然后利用该采购信息标识在退货条件子表中进行查询，从而可以获得退货条件子表中该采购信息标识对应的多个退货条件，并将查询获得的多个退货条件作为待选退货条件。若仅存在一个待选退货条件，则可以直接将该待选退货条件确定为物品对应的目标退货条件。若存在至少两个待选退货条件，则可以从退货条件子表中获得每个待选退货条件对应的优先级信息，比如优先级权重，并基于该优先级信息对多个待选退货条件进行排序，此时可以将优先级权重值最高的待选退货条件作为目标退货条件。若存在优先级权重相同的至少两个待选退货条件，则可以根据每个待选退货条件对应的使用频率，即热度值，将热度值最高的待选退货条件确定为物品对应的目标退货条件。
在上述技术方案的基础上，在生成物品对应的退货任务之后，还包括：基于退货任务，控制分拣设备进行拣货；在拣货完成时，控制退货设备对拣货完成的物品进行退货操作。
分拣设备可以包括但不限于分拣机器人或分拣机械臂。退货设备可以包括但不限于打包机器人、运输机器人、装车设备和配送车辆等。
一实施例中，在生成物品的退货任务后，可以控制分拣设备分拣出该退货任务中的所有物品，并在拣货完成后，可以控制打包机器人对分拣出的物品进 行打包，控制运输机器人将打包后的物品运输至装车位置处，并控制装车设备将该物品自动装车到配置车辆中，从而可以实现物品的自动分拣出库操作，提高了物品的退货效率。
实施例二
图2为本申请实施例二提供的一种退货任务的生成方法的流程图，本实施例在上述实施例的基础上，对仓库中的多种物品进行退货检测的方式进行了阐述。其中与上述实施例相同或相应的术语的解释在此不再赘述。
参见图2，本实施例提供的退货任务的生成方法包括以下步骤：
S210、获取预先确定的当前物品组对应的采购信息，其中，当前物品组中包含至少两种物品，所述至少两种物品的采购信息相同。
一实施例中，在对仓库中的多个物品进行退货检测时，可以基于物品的采购信息对多个物品进行分组，获得多个物品组，其中，每个物品组中的多种物品的采购信息相同。当前物品组可以是指任意一个物品组。当前物品组对应的采购信息即为当前物品组中的多种物品对应的采购信息。
示例性地，S210可以包括：根据多种物品的采购信息，基于多个采购参数对多种物品进行合并分组，确定多个物品组以及多个物品组中的当前物品组对应的采购信息。
其中，采购参数可以是指但不限于供应方、采销人员和采购批次号。
一实施例中，当针对一个采购批次号时，一个采销人员向一个供应方采购了多种物品，使得这些物品的采购信息相同，从而可以基于多个采购参数对所有物品进行合并分组，以确定同一种采购信息对应的多种物品。本实施例可以基于每个采购参数逐个对所有物品进行合并分组。示例性地，若多个采购参数为供应方、采销人员和采购批次号，则可以先根据供应方这一采购参数对所有物品进行分组合并，确定出每个供应方对应的第一物品组，其中，第一物品组中的多种物品的供应方相同；然后再基于采购人员这一采购参数对每个第一物品组中的多个物品进行分组合并，确定出每个第一物品组中的每个采购人员对应的第二物品组，其中，第二物品组中的多种物品的供应方和采购人员均相同；最后再基于采购批次号这个采购参数对每个第二物品组中的多个物品进行分组合并，确定出每个第二物品组中的每个采购批次号对应的第三物品组，其中，第三物品组中的多种物品的供应方、采购人员和采购批次号均相同。此时可以将确定出的每个第三物品组逐个作为当前物品组。
S220、将当前物品组对应的采购信息与退货数据库中的配置信息进行匹配， 确定当前物品组对应的目标退货条件。
本实施例可以以物品组为单位，将当前物品组对应的采购信息与退货数据库中的多条采购信息进行信息匹配，并基于每条采购信息与退货条件信息之间的对应关系，确定出当前物品组对应的目标退货条件。本实施例中的当前物品组对应的目标退货条件可以为当前物品组中的每个物品在进行退货检测时所依据的退货条件。示例性地，若根据退货数据库确定出的当前物品组对应多个待选退货条件，并且每个待选退货条件的优先级权重相同，则在待选退货条件的数量小于预设数量时，可以将这些待选退货条件均确定为当前物品组对应的目标退货条件，并可以将这些目标退货条件进行轮循环来确定当前物品组中的每个物品对应的目标退货条件，以提高目标退货条件确定的灵活性。通过确定物品组对应的目标退货条件，便可获得该物品组中的每种物品对应的目标退货条件，无需逐个对每种物品进行退货数据库的数据匹配，从而可以提高退货效率。
S230、在检测到当前物品组中的至少一种物品满足目标退货条件时，针对至少一种物品生成退货任务。
一实施例中，基于当前物品组对应的目标退货条件，检测当前物品组中的每种物品是否满足目标退货条件，并基于满足该目标退货条件的所有物品生成退货任务，以便可以对一种或多种物品进行同时退货，提高了退货效率。
示例性地，S230可以包括：根据当前物品组中的每个物品的库存信息，检测当前物品组中的每个物品是否满足目标退货条件；根据满足目标退货条件的每个目标物品对应的库存信息，生成该目标物品对应的至少一个退货任务。
物品的库存信息可以包括但不限于物品的库存量、购买时间、入库时间、发票时间和物品价格中的至少一种。一实施例中，基于当前物品组对应的目标退货条件和当前物品组中的每个物品对应的库存信息，确定出满足目标退货条件的每个目标物品，即当前物品组中需要进行退货的目标物品。根据每个目标物品的库存信息确定出相应的退货信息，比如需要退货的数量等，并根据每个目标物品对应的退货信息生成一个或多个退货任务。比如，当需要退货的数量超过一个配送车辆的容量时，可以生成多个退货任务，以便利用多个配送车辆进行退货。
示例性地，在确定每个物品组中满足相应目标退货条件的目标物品后，可以将目标物品的信息以消息队列的方式推送给生成退货任务的模块中，以使程序之间通过在消息中发送数据进行通信，而不是直接调用接口来进行通信，从而可以提高推送效率，提高退货任务的生成效率。
本实施例的技术方案，通过以物品组为单位，根据预先确定的物品组对应 的采购信息来确定该物品组对应的目标退货条件，从而可以获得该物品组中的每种物品对应的目标退货条件，无需逐个对每种物品进行退货数据库的数据匹配，从而可以提高退货效率。
以下是本申请实施例提供的退货任务的生成装置的实施例，该装置与上述实施例的退货任务的生成方法属于同一个申请构思，在退货任务的生成装置的实施例中未描述的内容，可以参考上述退货任务的生成方法的实施例。
实施例三
图3为本申请实施例三提供的一种退货任务的生成装置的结构示意图，本实施例可适用于对仓库中的物品进行退货检测，以便将当前需要退货的物品及时退还给供应方的情况，该装置包括：采购信息获取模块310、目标退货条件确定模块320和退货任务生成模块330。
其中，采购信息获取模块310，设置为获取物品的采购信息；目标退货条件确定模块320，设置为将采购信息与退货数据库中的配置信息进行匹配，确定物品对应的目标退货条件；其中，配置信息包括至少一条采购信息分别对应的退货条件信息；退货任务生成模块330，设置为在检测到物品满足目标退货条件时，生成物品对应的退货任务。
可选地，退货数据库包括采购信息配置主表和退货条件子表；其中，采购信息配置主表用于存储至少一条采购信息；退货条件子表用于存储每条采购信息对应的至少一个退货条件信息。
可选地，目标退货条件确定模块320，是设置为：将物品的采购信息与采购信息配置主表中的多条采购信息进行匹配，确定匹配成功的采购信息标识；从退货条件子表中，查询采购信息标识对应的待选退货条件；若存在至少两个待选退货条件，则根据每个待选退货条件对应的优先级信息，确定物品对应的目标退货条件。
可选地，采购信息获取模块310，是设置为：获取预先确定的当前物品组对应的采购信息，其中，当前物品组中包含至少两种物品，所述至少两种物品的采购信息相同。
目标退货条件确定模块320，是设置为：将当前物品组对应的采购信息与退货数据库中的配置信息进行匹配，确定当前物品组对应的目标退货条件；
退货任务生成模块330，是设置为：在检测到当前物品组中的至少一种物品满足目标退货条件时，针对至少一种物品生成退货任务。
可选地，采购信息获取模块310，是设置为：根据多种物品的采购信息，基于多个采购参数对多种物品进行合并分组，确定多个物品组以及多个物品组中的当前物品组对应的采购信息。
可选地，退货任务生成模块330，是设置为：根据当前物品组中的每个物品的库存信息，检测当前物品组中的每个物品是否满足目标退货条件；根据满足目标退货条件的每个目标物品对应的库存信息，生成所述目标物品对应的至少一个退货任务。
可选地，该装置还包括：
分拣设备控制模块，设置为在生成物品对应的退货任务之后，基于退货任务，控制分拣设备进行拣货；退货设备控制模块，设置为在拣货完成时，控制退货设备对拣货完成的物品进行退货操作。
本申请实施例所提供的退货任务的生成装置可执行本申请任意实施例所提供的退货任务的生成方法，具备执行退货任务的生成方法相应的功能模块和效果。
实施例四
图4为本申请实施例四提供的一种设备的结构示意图。图4示出了适于用来实现本申请实施方式的示例性设备12的框图。图4显示的设备12仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图4所示，设备12以通用计算设备的形式表现。设备12的组件可以包括但不限于：一个或者多个处理器或者处理单元16，系统存储器28，连接不同系统组件(包括系统存储器28和处理单元16)的总线18。
总线18表示几类总线结构中的一种或多种，包括存储器总线或者存储器控制器，外围总线，图形加速端口，处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说，这些体系结构包括但不限于工业标准体系结构(Industry Standard Architecture，ISA)总线，微通道体系结构(MicroChannel Architecture，MAC)总线，增强型ISA总线、视频电子标准协会(Video Electronics Standards Association，VESA)局域总线以及外围组件互连(Peripheral Component Interconnect，PCI)总线。
设备12典型地包括多种计算机系统可读介质。这些介质可以是任何能够被设备12访问的可用介质，包括易失性和非易失性介质，可移动的和不可移动的介质。
系统存储器28可以包括易失性存储器形式的计算机系统可读介质，例如随机存取存储器(Random Access Memory，RAM)30和/或高速缓存存储器32。设备12可以包括其它可移动/不可移动的、易失性/非易失性计算机系统存储介质。仅作为举例，存储系统34可以设置为读写不可移动的、非易失性磁介质(图4未显示，通常称为“硬盘驱动器”)。尽管图4中未示出，可以提供设置为对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器，以及对可移动非易失性光盘(例如光盘只读存储器(Compact Disc-Read Only Memory，CD-ROM)，数字多功能光盘只读存储器(Digital Versatile Disc-Read Only Memory，DVD-ROM)或者其它光介质)读写的光盘驱动器。在这些情况下，每个驱动器可以通过一个或者多个数据介质接口与总线18相连。系统存储器28可以包括至少一个程序产品，该程序产品具有一组(例如至少一个)程序模块，这些程序模块被配置以执行本申请实施例的功能。
具有一组(至少一个)程序模块42的程序/实用工具40，可以存储在例如系统存储器28中，这样的程序模块42包括但不限于操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或一种组合中可能包括网络环境的实现。程序模块42通常执行本申请所描述的实施例中的功能和/或方法。
设备12也可以与一个或多个外部设备14(例如键盘、指向设备、显示器24等)通信，还可与一个或者多个使得用户能与该设备12交互的设备通信，和/或与使得该设备12能与一个或多个其它计算设备进行通信的任何设备(例如网卡，调制解调器等等)通信。这种通信可以通过输入/输出(Input/Output，I/O)接口22进行。并且，设备12还可以通过网络适配器20与一个或者多个网络(例如局域网(Local Area Network，LAN)，广域网(Wide Area Network，WAN)和/或公共网络，例如因特网)通信。如图所示，网络适配器20通过总线18与设备12的其它模块通信。应当明白，尽管图中未示出，可以结合设备12使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
处理单元16通过运行存储在系统存储器28中的程序，从而执行多种功能应用以及数据处理，例如实现本发实施例所提供的一种退货任务的生成方法步骤，该方法包括：
获取物品的采购信息；将采购信息与退货数据库中的配置信息进行匹配，确定物品对应的目标退货条件；其中，配置信息包括至少一条采购信息分别对应的退货条件信息；在检测到物品满足目标退货条件时，生成物品对应的退货任务。
处理器还可以实现本申请任意实施例所提供的保留库存量的确定方法的技术方案。
实施例五
本实施例五提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如本申请任意实施例所提供的一种退货任务的生成方法步骤，该方法包括：
获取物品的采购信息；将采购信息与退货数据库中的配置信息进行匹配，确定物品对应的目标退货条件；其中，配置信息包括至少一条采购信息分别对应的退货条件信息；在检测到物品满足目标退货条件时，生成物品对应的退货任务。
本申请实施例的计算机存储介质，可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质。计算机可读存储介质例如可以是但不限于：电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(Erasable Programmable Read-Only Memory，EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本文件中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：无线、电线、光缆、射频(Radio Frequency，RF)等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本申请操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言，诸如Java、 Smalltalk、C++，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络，包括局域网(LAN)或广域网(WAN)，连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
上述的本申请的模块或步骤可以用通用的计算装置来实现，它们可以集中在单个计算装置上，或者分布在多个计算装置所组成的网络上，可选地，他们可以用计算机装置可执行的程序代码来实现，从而可以将它们存储在存储装置中由计算装置来执行，或者将它们分别制作成多个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本申请不限制于任何特定的硬件和软件的结合。

Claims (10)

  1. 一种退货任务的生成方法，包括：
    获取物品的采购信息；
    将所述采购信息与退货数据库中的配置信息进行匹配，确定所述物品对应的目标退货条件；其中，所述配置信息包括至少一条采购信息分别对应的退货条件信息；
    在检测到所述物品满足所述目标退货条件的情况下，生成所述物品对应的退货任务。
  2. 根据权利要求1所述的方法，其中，所述退货数据库包括采购信息配置主表和退货条件子表；其中，
    所述采购信息配置主表用于存储至少一条采购信息；
    所述退货条件子表用于存储每条采购信息对应的至少一个退货条件信息。
  3. 根据权利要求2所述的方法，其中，所述将所述采购信息与退货数据库中的配置信息进行匹配，确定所述物品对应的目标退货条件，包括：
    将所述物品的采购信息与所述采购信息配置主表中的多条采购信息进行匹配，确定匹配成功的采购信息标识；
    从所述退货条件子表中，查询所述采购信息标识对应的待选退货条件；
    在存在至少两个待选退货条件的情况下，根据每个待选退货条件对应的优先级信息，确定所述物品对应的目标退货条件。
  4. 根据权利要求1-3任一所述的方法，其中，所述获取物品的采购信息，包括：
    获取预先确定的物品组对应的采购信息，其中，所述预先确定的物品组中包含至少两种物品，所述至少两种物品的采购信息相同；
    所述将所述采购信息与退货数据库中的配置信息进行匹配，确定所述物品对应的目标退货条件，包括：
    将所述预先确定的物品组对应的采购信息与所述退货数据库中的配置信息进行匹配，确定所述预先确定的物品组对应的目标退货条件；
    所述在检测到所述物品满足所述目标退货条件的情况下，生成所述物品对应的退货任务，包括：
    在检测到所述预先确定的物品组中的至少一种物品满足所述目标退货条件的情况下，针对所述至少一种物品生成退货任务。
  5. 根据权利要求4所述的方法，其中，所述获取预先确定的物品组对应的采购信息，包括：
    根据多种物品的采购信息，基于多个采购参数对所述多种物品进行合并分组，确定多个物品组以及所述多个物品组中的所述预先确定的物品组对应的采购信息。
  6. 根据权利要求4所述的方法，其中，所述在检测到所述预先确定的物品组中的至少一种物品满足所述目标退货条件的情况下，针对所述至少一种物品生成退货任务，包括：
    根据所述预先确定的物品组中的每个物品的库存信息，检测所述预先确定的物品组中的每个物品是否满足所述目标退货条件；
    根据满足所述目标退货条件的每个目标物品对应的库存信息，生成所述目标物品对应的至少一个退货任务。
  7. 根据权利要求1所述的方法，在所述生成所述物品对应的退货任务之后，还包括：
    基于所述退货任务，控制分拣设备进行拣货；
    在拣货完成的情况下，控制退货设备对拣货完成的物品进行退货操作。
  8. 一种退货任务的生成装置，包括：
    采购信息获取模块，设置为获取物品的采购信息；
    目标退货条件确定模块，设置为将所述采购信息与退货数据库中的配置信息进行匹配，确定所述物品对应的目标退货条件；其中，所述配置信息包括至少一条采购信息分别对应的退货条件信息；
    退货任务生成模块，设置为在检测到所述物品满足所述目标退货条件的情况下，生成所述物品对应的退货任务。
  9. 一种设备，包括：
    至少一个处理器；
    存储器，设置为存储至少一个程序；
    当所述至少一个程序被所述至少一个处理器执行，使得所述至少一个处理器实现如权利要求1-7中任一所述的退货任务的生成方法。
  10. 一种计算机可读存储介质，存储有计算机程序，其中，所述程序被处理器执行时实现如权利要求1-7中任一所述的退货任务的生成方法。
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