CN113112048A - Method and device for returning articles to warehouse - Google Patents
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- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
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- 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
Abstract
The invention discloses a method and a device for returning articles to a warehouse, and relates to the technical field of computers. One embodiment of the method comprises: receiving a warehouse returning request of an article, and determining a warehouse returning strategy according to the type of the warehouse returning request; under the condition that the warehouse returning strategy is determined to be an intelligent warehouse returning strategy, selecting an optimal warehouse from all warehouses according to one or more attributes of the warehouses, and returning the articles to the warehouse; and under the condition that the warehouse returning strategy is determined to be the configured warehouse returning, selecting one warehouse which meets the configuration conditions from the warehouses, and returning the warehouse to the article. The method and the system have good flexibility, can accurately return to the warehouse according to the service demand, reduce logistics cost and goods loss, and reduce the retention of the warehouse.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for returning articles to a warehouse.
Background
With the development of the logistics industry, warehouse and distribution integrated logistics services are provided, for example, many logistics companies provide warehouse and distribution integrated logistics services for merchants and C-end customers (ordinary consumers who purchase goods at the merchants) based on e-commerce platforms, wherein some merchants require to transport back to a merchant warehouse, some merchants require to transport back to an original warehouse and some merchants may provide different business requirements in the case of customer cancellation and rejection in the e-commerce. These business demands provide a single service method through the logistics service provided by the offline communication logistics system, and thus the warehouse returning with high flexibility and tolerance cannot be realized, and meanwhile, due to improper warehouse returning method, the logistics cost and the goods loss are increased.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
the warehouse-returning method is not flexible enough to meet the business requirements, and may cause the increase of logistics cost and goods loss.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for returning an article to a warehouse, which have good flexibility, and can accurately return the warehouse according to business requirements, thereby reducing logistics costs and freight loss, and reducing inventory retention.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided an article restocking method.
An item warehousing method comprising: receiving a warehouse returning request of an article, and determining a warehouse returning strategy according to the type of the warehouse returning request; under the condition that the warehouse returning strategy is determined to be an intelligent warehouse returning strategy, selecting an optimal warehouse from all warehouses according to one or more attributes of the warehouses, and returning the articles to the warehouse; and under the condition that the warehouse returning strategy is determined to be the configured warehouse returning, selecting one warehouse which meets the configuration conditions from the warehouses, and returning the warehouse to the article.
Optionally, the selecting an optimal warehouse from the warehouses according to one or more attributes of the warehouses includes: and acquiring the priority of each attribute of the warehouse, and selecting one warehouse from the warehouses as the optimal warehouse according to the warehouse selection condition of at least one attribute from high to low.
Optionally, the attributes include a distance attribute, an inventory turnover rate attribute, and a warehouse category attribute; a step of selecting one warehouse from the warehouses as the optimal warehouse according to the warehouse selection condition of at least one attribute from the high priority to the low priority, which comprises the following steps: selecting a warehouse closest to the article from the warehouses as a first warehouse according to the warehouse selection condition of the distance attribute, and if the first warehouse is unique, taking the first warehouse as the optimal warehouse; if the first warehouse is not unique, selecting a second warehouse of which the inventory turnover rate of the articles meets a first preset condition according to a warehouse selection condition of the inventory turnover rate attribute, and if the second warehouse is unique, taking the second warehouse as the optimal warehouse; and if the second warehouse is not unique, selecting one warehouse of the target warehouse type meeting the preset requirement as the optimal warehouse according to the warehouse selection condition of the warehouse type attribute.
Optionally, the selecting, according to the warehouse selection condition of the warehouse category attribute, a warehouse of a target warehouse category that meets a predetermined requirement as the optimal warehouse includes: and reading the configured warehouse category priority information, and selecting one warehouse with the highest warehouse category priority from the second warehouses as the optimal warehouse.
Optionally, the selecting one warehouse meeting the configuration condition from the warehouses includes: reading a configured warehouse category, and comparing the position of the article with each warehouse position corresponding to the configured warehouse category to determine a first alternative warehouse corresponding to the configured warehouse category closest to the article; if the first alternative warehouse is unique, the first alternative warehouse is used as the warehouse which meets the configuration condition; and if the first alternative warehouse is not unique, selecting one warehouse of the first alternative warehouse, the inventory turnover rate of which meets a second preset condition, as the warehouse meeting the configuration condition.
Optionally, the determining a library returning policy according to the type of the library returning request includes: determining the type of a client side which sends the library returning request according to the library returning request; determining that the ex-warehouse strategy is an intelligent ex-warehouse under the condition that the client type indication is a first client; and under the condition that the client type indication is a second client, determining the library returning strategy according to the library returning strategy indication information in the library returning request.
According to another aspect of the embodiments of the present invention, an article retrieval device is provided.
An article retrieval device, comprising: the warehouse returning strategy determining module is used for receiving a warehouse returning request of the article and determining a warehouse returning strategy according to the type of the warehouse returning request; the article warehousing module is used for selecting an optimal warehouse from the warehouses according to one or more attributes of the warehouses and warehousing the articles under the condition that the warehousing strategy is determined to be an intelligent warehousing strategy; and under the condition that the warehouse returning strategy is determined to be the configured warehouse returning, selecting one warehouse which meets the configuration conditions from the warehouses, and returning the warehouse to the article.
Optionally, the item retrieval module comprises a first warehouse selection sub-module for: and acquiring the priority of each attribute of the warehouse, and selecting one warehouse from the warehouses as the optimal warehouse according to the warehouse selection condition of at least one attribute from high to low.
Optionally, the attributes include a distance attribute, an inventory turnover rate attribute, and a warehouse category attribute; the first warehouse selection sub-module is further configured to: selecting a warehouse closest to the article from the warehouses as a first warehouse according to the warehouse selection condition of the distance attribute, and if the first warehouse is unique, taking the first warehouse as the optimal warehouse; if the first warehouse is not unique, selecting a second warehouse of which the inventory turnover rate of the articles meets a first preset condition according to a warehouse selection condition of the inventory turnover rate attribute, and if the second warehouse is unique, taking the second warehouse as the optimal warehouse; and if the second warehouse is not unique, selecting one warehouse of the target warehouse type meeting the preset requirement as the optimal warehouse according to the warehouse selection condition of the warehouse type attribute.
Optionally, the first warehouse selection sub-module reads the configured warehouse category priority information and selects one warehouse with the highest warehouse category priority from the second warehouses as the optimal warehouse in the case that the second warehouse is not unique.
Optionally, the warehouse module comprises a second warehouse selection sub-module for: reading a configured warehouse category, and comparing the position of the article with each warehouse position corresponding to the configured warehouse category to determine a first alternative warehouse corresponding to the configured warehouse category closest to the article; if the first alternative warehouse is unique, the first alternative warehouse is used as the warehouse which meets the configuration condition; and if the first alternative warehouse is not unique, selecting one warehouse of the first alternative warehouse, the inventory turnover rate of which meets a second preset condition, as the warehouse meeting the configuration condition.
Optionally, the library-returning policy determination module is further configured to: determining the type of a client side which sends the library returning request according to the library returning request; determining that the ex-warehouse strategy is an intelligent ex-warehouse under the condition that the client type indication is a first client; and under the condition that the client type indication is a second client, determining the library returning strategy according to the library returning strategy indication information in the library returning request.
According to yet another aspect of an embodiment of the present invention, an electronic device is provided.
An electronic device, comprising: one or more processors; a memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the item-backtracking method provided by embodiments of the present invention.
According to yet another aspect of an embodiment of the present invention, a computer-readable medium is provided.
A computer-readable medium, on which a computer program is stored, which, when executed by a processor, implements an article-regrouping method provided by an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: and determining a warehouse returning strategy according to the type of the warehouse returning request, selecting an optimal warehouse from all warehouses according to one or more attributes of the warehouses under the condition that the warehouse returning strategy is an intelligent warehouse returning, returning the articles to the warehouse, and selecting a warehouse meeting the configuration conditions from all warehouses under the condition that the warehouse returning strategy is a configuration warehouse returning. The flexibility is good and the tolerance is high, can reduce logistics cost and freight loss according to the accurate storehouse that returns of business demand, reduces the stock and detains.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of the main steps of an item retrieval method according to a first embodiment of the present invention;
FIG. 2 is a schematic flow diagram of selecting a warehouse back in accordance with a second embodiment of the invention;
FIG. 3 is a schematic diagram of the main modules of an article retrieval device according to a third embodiment of the present invention;
FIG. 4 is a schematic diagram of an item restocking process according to a fourth embodiment of the present invention;
FIGS. 5a, 5b, and 5c are page diagrams of messages sent by a customer device, a distribution device, and a merchant device, respectively, according to embodiments of the invention;
fig. 6a and fig. 6b are schematic diagrams of return task pages of the transportation device and the warehousing device, respectively, according to the embodiment of the invention;
FIG. 7 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 8 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of the main steps of an article warehousing method according to a first embodiment of the present invention.
As shown in fig. 1, the method for returning the article to the warehouse according to one embodiment of the present invention mainly includes the following steps.
Step S101: and receiving a warehouse returning request of the item, and determining a warehouse returning strategy according to the type of the warehouse returning request.
If the library returning strategy is determined to be the intelligent library returning, step S102 is executed, and if the library returning strategy is determined to be the configured library returning, step S103 is executed.
Step S102: selecting an optimal warehouse from all warehouses according to one or more attributes of the warehouses, and returning the articles to the warehouse;
step S103: and selecting one warehouse meeting the configuration conditions from all the warehouses, and returning the articles to the warehouse.
Determining a library returning strategy according to the type of the library returning request specifically includes: determining the type of the client sending the library request back according to the library request back; determining that the ex-warehouse strategy is an intelligent ex-warehouse under the condition that the client type is indicated as a first client; and under the condition that the client type indication is the second client, determining a library returning strategy according to the library returning strategy indication information in the library returning request.
Wherein, according to one or more attributes of the warehouse, selecting an optimal warehouse from each warehouse specifically comprises: and acquiring the priority of each attribute of the warehouse, and selecting one warehouse from the warehouses as an optimal warehouse according to the warehouse selection condition of at least one attribute from high to low.
In one embodiment, the warehouse attributes include a distance attribute, an inventory turnover rate attribute, and a warehouse category attribute. The order of priority from high to low may be a distance attribute, an inventory turnover rate attribute, a warehouse category attribute.
The step of selecting one warehouse from the warehouses as an optimal warehouse according to the warehouse selection condition of at least one attribute in the order from high priority to low priority may specifically include: selecting a warehouse closest to the article from all warehouses as a first warehouse according to the warehouse selection condition of the distance attribute, and if the first warehouse is unique, taking the first warehouse as an optimal warehouse; if the first warehouse is not unique, selecting a second warehouse of which the inventory turnover rate of the articles meets a first preset condition according to a warehouse selection condition of the inventory turnover rate attribute, and if the second warehouse is unique, taking the second warehouse as an optimal warehouse; and if the second warehouse is not unique, selecting one warehouse of the target warehouse type meeting the preset requirement as the optimal warehouse according to the warehouse selection condition of the warehouse type attribute.
The selecting a warehouse of a target warehouse category meeting a predetermined requirement as an optimal warehouse according to a warehouse selection condition of a warehouse category attribute may specifically include: and reading the configured warehouse category priority information, and selecting one warehouse with the highest warehouse category priority from the second warehouses as an optimal warehouse.
In one embodiment, selecting a repository from the repositories that meets the configuration condition may include: reading the configured warehouse type, and comparing the position of the article with each warehouse position corresponding to the configured warehouse type to determine a first alternative warehouse corresponding to the configured warehouse type closest to the article; if the first alternative warehouse is unique, the first alternative warehouse is used as a warehouse which meets the configuration conditions; and if the first alternative warehouse is not unique, selecting one warehouse of which the inventory turnover rate of the items meets the second preset condition from the first alternative warehouse as the warehouse meeting the configuration condition.
The goods returning method provided by the embodiment of the invention has good flexibility and high tolerance, can accurately return goods according to business requirements, reduces logistics cost and goods loss, and reduces stock retention.
The embodiment of the invention can be used for returning the order cancelled commodities or the rejected commodities to the customer when the order of the merchant at the B end and the customer at the C end is cancelled and the customer rejects.
Fig. 2 is a schematic flow chart of selecting a warehouse back according to a second embodiment of the present invention. In this embodiment, the warehouse returning process may also be referred to as reverse warehouse entry, where the article returned to the warehouse (reverse warehouse entry) is a commodity that has been delivered from the warehouse and the order is cancelled or rejected by the C-side customer. The C-end customer refers to a common consumer who purchases goods at a merchant.
As shown in fig. 2, after receiving the library returning request, the library returning server (server for short) performs the calculation of the library returning according to the position of the commodity when the order is cancelled. The backyard server judges the type of the current backyard request, and calculates the backyard according to different backyard strategies according to the type of the backyard request, specifically, the backyard server can determine the type of the client side which sends the backyard request according to the backyard request, if the client side is the backyard request sent by the client side of the C-end client, the backyard strategy is determined to be an intelligent backyard, if the client side is the backyard request sent by the client side of the B-end client (namely, the merchant client side), the backyard strategy is determined according to the backyard strategy indicating information in the backyard request. The warehousing policy indication information comprises the warehousing policy of the item specified by the merchant.
And under the condition that the warehouse returning strategy is an intelligent warehouse returning strategy, calculating a warehouse returning warehouse by considering attributes such as the distance between the warehouse returning strategy and the goods to be returned, the inventory turnover rate, the warehouse category and the like.
Taking the commodity to be returned as the commodity in the cancelled order as an example, firstly, the station or the sorting center where the cancelled order is located is judged, the position where the order is located, and the position is converted into a GIS (geographic information system) coordinate. And searching warehouse information in the configuration data of the merchant warehouse and the logistics company warehouse according to the order position, respectively converting each warehouse position into GIS coordinates, comparing the coordinates corresponding to the order position with each warehouse coordinate to calculate the linear distance difference between the order position and the warehouse position, and taking the warehouse with the minimum distance difference as the finally positioned warehouse, namely the warehouse returning warehouse.
If the distances between the plurality of warehouses and the order commodity are located to be the same, the inventory turnover rate of the order commodity is obtained through information data of the warehouse management system, the inventory turnover rates of the order commodity of the located warehouses are compared, and the warehouse with the highest inventory turnover rate (or the inventory turnover rate is larger than N, wherein N is a preset inventory turnover rate threshold) is used as the warehouse returning warehouse.
If there are a plurality of warehouses with the highest inventory turnover rate (or the inventory turnover rate is greater than N), the warehouse returning is determined according to the warehouse category, specifically, a warehouse category priority order set by the merchant may be received in advance, and the warehouse category priority order indicates the priority order of various warehouses, such as merchant warehouse-logistics warehouse-random, logistics warehouse-merchant warehouse-random, or random-merchant warehouse-logistics warehouse, and so on. The merchant warehouse is a merchant warehouse and refers to a merchant warehouse; the logistics warehouse is a logistics warehouse and refers to a warehouse provided by a logistics company; random means that the warehouse category can be any warehouse category. If the priority order of the warehouse types is merchant warehouse-logistics warehouse-random, in the warehouse with the highest inventory turnover rate (or inventory turnover rate more than N) of the commodity, searching whether a warehouse of the merchant warehouse exists, if so, using the warehouse as a warehouse returning warehouse, and if not, using one warehouse of the logistics warehouse as the warehouse returning warehouse. For another example, if the warehouse category priority order is random-merchant warehouse-logistics warehouse, then regardless of the warehouse category, one warehouse is selected from any warehouse as the warehouse-back warehouse.
And under the condition that the warehouse returning strategy is the configuration warehouse returning, selecting a warehouse which meets the configuration conditions as a warehouse returning warehouse. The configuration conditions of returning to the warehouse at a merchant warehouse, returning to the warehouse at a logistics warehouse, returning to the warehouse at a designated warehouse and the like can be configured in advance.
Under the condition that the warehouse is configured to be close to the warehouse of the merchant, the warehouse returning server calls position information of the warehouse of the merchant, converts the position information into GIS coordinates, analyzes and compares the GIS coordinates of the warehouse of the merchant with the GIS coordinates of a sorting center where the commodity is located when the order is cancelled, so as to select the warehouse closest to the commodity, if the number of the warehouses closest to the commodity is multiple, compares the inventory turnover rate of the commodity in the multiple closest warehouses, takes one warehouse with the highest inventory turnover rate (or the inventory turnover rate is more than N) as the warehouse returning warehouse, and if the warehouse with the highest inventory turnover rate (or the inventory turnover rate is more than N) is multiple, randomly selects one warehouse as the warehouse returning warehouse.
Under the condition that the logistics warehouse is close to the warehouse, the warehouse returning server calls the position information of the logistics warehouse and converts the position information into GIS coordinates, the GIS coordinates of the logistics warehouse and the GIS coordinates of a sorting center where the commodity is located when the order is cancelled are analyzed and compared to select the warehouse closest to the commodity, if the number of the warehouses closest to the commodity is multiple, the inventory turnover rate of the commodity in the multiple closest warehouses is compared, one warehouse with the highest inventory turnover rate (or the inventory turnover rate is larger than N) of the commodity is used as the warehouse returning warehouse, and if the number of the warehouses with the highest inventory turnover rate (or the inventory turnover rate is larger than N) is multiple, one warehouse is randomly selected as the warehouse returning warehouse.
Fig. 3 is a schematic diagram of main blocks of an article retrieval device according to a third embodiment of the present invention.
The article warehousing device 300 according to an embodiment of the present invention mainly includes: a warehouse returning strategy determining module 301 and an article warehouse returning module 302.
The warehouse returning strategy determining module 301 is configured to receive a warehouse returning request of an article, and determine a warehouse returning strategy according to the type of the warehouse returning request;
the article warehousing module 302 is configured to select an optimal warehouse from the warehouses according to one or more attributes of the warehouse and warehouse the article in the warehouse if the warehouse returning strategy is determined to be an intelligent warehouse returning; and under the condition that the warehouse returning strategy is determined to be the configured warehouse returning, selecting one warehouse which meets the configuration condition from all warehouses, and returning the articles to the warehouse.
The library-returning policy determination module 301 may be specifically configured to: determining the type of the client sending the library request back according to the library request back; determining that the ex-warehouse strategy is an intelligent ex-warehouse under the condition that the client type is indicated as a first client; and under the condition that the client type indication is the second client, determining a library returning strategy according to the library returning strategy indication information in the library returning request.
The item regrouping module 302 may include a first warehouse selection sub-module for: and acquiring the priority of each attribute of the warehouse, and selecting one warehouse from the warehouses as an optimal warehouse according to the warehouse selection condition of at least one attribute from high to low.
In one embodiment, the attributes of the warehouse include a distance attribute, an inventory turnover rate attribute, and a warehouse category attribute.
The first warehouse selection submodule may be specifically configured to: selecting a warehouse closest to the article from all warehouses as a first warehouse according to the warehouse selection condition of the distance attribute, and if the first warehouse is unique, taking the first warehouse as an optimal warehouse; if the first warehouse is not unique, selecting a second warehouse of which the inventory turnover rate of the articles meets a first preset condition according to a warehouse selection condition of the inventory turnover rate attribute, and if the second warehouse is unique, taking the second warehouse as an optimal warehouse; and if the second warehouse is not unique, selecting one warehouse of the target warehouse type meeting the preset requirement as the optimal warehouse according to the warehouse selection condition of the warehouse type attribute.
The first warehouse selection sub-module may specifically read the configured warehouse category priority information and select one warehouse with the highest warehouse category priority from the second warehouses as the optimal warehouse under the condition that the second warehouse is not unique.
The item regrouping module 302 may further include a second warehouse selection sub-module for: reading the configured warehouse type, and comparing the position of the article with each warehouse position corresponding to the configured warehouse type to determine a first alternative warehouse corresponding to the configured warehouse type closest to the article; if the first alternative warehouse is unique, the first alternative warehouse is used as a warehouse which meets the configuration conditions; and if the first alternative warehouse is not unique, selecting one warehouse of which the inventory turnover rate of the items meets the second preset condition from the first alternative warehouse as the warehouse meeting the configuration condition.
The article returning device 300 may further include a returning order generating module, configured to determine a starting point of returning to the warehouse and a destination point of returning to the warehouse, and generate a returning order according to the starting point and the destination point of returning to the warehouse.
The goods returning module 302 downloads a returning transportation request to the transportation equipment when returning the goods to the warehouse so as to transport the goods through the transportation equipment; and downloading the warehouse returning task to storage equipment of the warehouse, and scanning the warehouse returning task corresponding to the article after the article reaches the warehouse returning warehouse so as to complete the warehouse returning process of the article.
Fig. 4 is a schematic diagram of an item warehousing procedure according to a fourth embodiment of the invention.
As shown in fig. 4, the library retrieval request received by the server may be sent by one of the client device and the merchant device, and the distribution device may send the library retrieval request back to the server through the merchant device.
In one embodiment, the client device may send an order cancellation message to the merchant device, which, upon receiving the order cancellation message, sends the order cancellation message to the server. Alternatively, the client device may send the order cancellation message directly to the server. The page on which the client device sends the order cancellation message is shown in figure 5 a.
In another embodiment, the delivery device sends a message to the merchant device that the customer rejected the good or cancelled the order, and the merchant device sends a message to the server that the customer rejected the good or cancelled the order. The page on which the delivery device sends a message to the customer to reject the goods or cancel the order is shown in fig. 5 b.
In another embodiment, the merchant device receives the order cancellation message sent by the client device through a mobile phone APP (application program) or a PC (personal computer), or the customer cancellation or goods rejection message sent by the delivery device, i.e. the warehouse returning message. And sending the library returning message to the server through the APP or PC terminal on the merchant equipment. The page of the message that the merchant device sends the customer rejected the goods or cancelled the order is shown in fig. 5c, wherein the reverse warehousing entry is the stock return entry.
In the following, the article warehousing procedure according to the embodiment of the present invention is described by taking an example in which the warehousing request is sent by the client device.
The client device sends a library request back to the server, the server calculates a library warehouse back after receiving the library warehouse back request, and the process of calculating the library warehouse back refers to the flow of selecting the library warehouse back in the embodiment shown in fig. 2, which is not described herein again. After determining the warehouse returning information, the server downloads the warehouse returning information to a warehouse returning service platform, the warehouse returning information comprises information of the warehouse returning information, the warehouse returning service platform performs calculation through a unified warehouse returning list generating module, the calculation comprises the steps of obtaining a site, a distribution center or a city where an order is located, determining a starting point of the warehouse returning, determining a target point of the warehouse returning through the warehouse in the warehouse returning information, and generating a warehouse returning list. Then, the warehouse-back transportation request is transmitted to the transportation equipment, and the warehouse-back task is transmitted to the warehousing equipment of the warehouse.
The interface of the transportation device according to the embodiment of the present invention is shown in fig. 6a, and the interface of the warehousing device is shown in fig. 6 b. The interface of the transportation device shown in fig. 6a is a transportation task page, and the interface of the warehousing device shown in fig. 6b is a to-be-returned-to-warehouse task page. The transportation equipment receives the warehouse returning transportation request in real time, namely receives the transportation task, receives goods through the equipment such as the APP on site from the starting point according to the starting point of the transportation task, and transports the goods to the warehouse returning warehouse after the goods are received. And the warehousing equipment receives the corresponding warehouse returning task, and after the goods reach the warehouse where the warehousing equipment is located, the warehousing equipment scans the warehouse returning task corresponding to the goods to return the goods to the warehouse.
The embodiment of the invention systematizes the business scene of reversely warehousing the commodities (namely, warehousing return of the embodiment of the invention) after canceling orders or rejecting the commodities by customers aiming at the scene that the merchant warehouse and the logistics warehouse share the inventory in the e-commerce industry, realizes accurate warehousing, reduces inventory detention, reduces logistics cost and can reduce goods loss.
In addition, the detailed implementation of the article retrieving device in the embodiment of the present invention has been described in detail in the above article retrieving method, so that repeated descriptions herein are not repeated.
Fig. 7 illustrates an exemplary system architecture 700 for an item retrieval method or an item retrieval device to which embodiments of the present invention may be applied.
As shown in fig. 7, the system architecture 700 may include terminal devices 701, 702, 703, a network 704, and a server 705. The network 704 serves to provide a medium for communication links between the terminal devices 701, 702, 703 and the server 705. Network 704 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 701, 702, 703 to interact with a server 705 over a network 704, to receive or send messages or the like. The terminal devices 701, 702, 703 may have installed thereon various communication client applications, such as a shopping-like application, a web browser application, a search-like application, an instant messaging tool, a mailbox client, social platform software, etc. (by way of example only).
The terminal devices 701, 702, 703 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 705 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 701, 702, 703. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the article warehousing method provided by the embodiment of the present invention is generally executed by the server 705, and accordingly, the article warehousing device is generally disposed in the server 705.
It should be understood that the number of terminal devices, networks, and servers in fig. 7 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 8, shown is a block diagram of a computer system 800 suitable for use in implementing a terminal device or server of an embodiment of the present application. The terminal device or the server shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for the operation of the system 800 are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program executes the above-described functions defined in the system of the present application when executed by the Central Processing Unit (CPU) 801.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor comprises a warehouse returning strategy determining module and an article warehouse returning module. The names of these modules do not constitute a limitation on the module itself in some cases, for example, the library return policy determination module may also be described as "a module for receiving a library return request for an item and determining a library return policy according to the type of the library return request".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: receiving a warehouse returning request of an article, and determining a warehouse returning strategy according to the type of the warehouse returning request; under the condition that the warehouse returning strategy is determined to be an intelligent warehouse returning strategy, selecting an optimal warehouse from all warehouses according to one or more attributes of the warehouses, and returning the articles to the warehouse; and under the condition that the warehouse returning strategy is determined to be the configured warehouse returning, selecting one warehouse which meets the configuration conditions from the warehouses, and returning the warehouse to the article.
According to the technical scheme of the embodiment of the invention, the warehouse returning strategy is determined according to the type of the warehouse returning request, an optimal warehouse is selected from all warehouses according to one or more attributes of the warehouse under the condition that the warehouse returning strategy is an intelligent warehouse returning, the warehouse is returned to the article, and a warehouse meeting the configuration conditions is selected from all warehouses under the condition that the warehouse returning strategy is a configuration warehouse returning. The flexibility is good and the tolerance is high, can reduce logistics cost and freight loss according to the accurate storehouse that returns of business demand, reduces the stock and detains.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An article warehousing method, comprising:
receiving a warehouse returning request of an article, and determining a warehouse returning strategy according to the type of the warehouse returning request;
under the condition that the warehouse returning strategy is determined to be an intelligent warehouse returning strategy, selecting an optimal warehouse from all warehouses according to one or more attributes of the warehouses, and returning the articles to the warehouse;
and under the condition that the warehouse returning strategy is determined to be the configured warehouse returning, selecting one warehouse which meets the configuration conditions from the warehouses, and returning the warehouse to the article.
2. The method of claim 1, wherein selecting an optimal warehouse from the warehouses based on one or more attributes of the warehouse comprises:
and acquiring the priority of each attribute of the warehouse, and selecting one warehouse from the warehouses as the optimal warehouse according to the warehouse selection condition of at least one attribute from high to low.
3. The method of claim 2, wherein the attributes include a distance attribute, an inventory turnover attribute, a warehouse category attribute;
a step of selecting one warehouse from the warehouses as the optimal warehouse according to the warehouse selection condition of at least one attribute from the high priority to the low priority, which comprises the following steps:
selecting a warehouse closest to the article from the warehouses as a first warehouse according to the warehouse selection condition of the distance attribute, and if the first warehouse is unique, taking the first warehouse as the optimal warehouse;
if the first warehouse is not unique, selecting a second warehouse of which the inventory turnover rate of the articles meets a first preset condition according to a warehouse selection condition of the inventory turnover rate attribute, and if the second warehouse is unique, taking the second warehouse as the optimal warehouse;
and if the second warehouse is not unique, selecting one warehouse of the target warehouse type meeting the preset requirement as the optimal warehouse according to the warehouse selection condition of the warehouse type attribute.
4. The method according to claim 3, wherein the selecting, as the optimal warehouse, one warehouse of a target warehouse category that meets a predetermined requirement according to the warehouse selection condition of the warehouse category attribute comprises:
and reading the configured warehouse category priority information, and selecting one warehouse with the highest warehouse category priority from the second warehouses as the optimal warehouse.
5. The method of claim 1, wherein said selecting a repository from said plurality of repositories that meets configuration criteria comprises:
reading a configured warehouse category, and comparing the position of the article with each warehouse position corresponding to the configured warehouse category to determine a first alternative warehouse corresponding to the configured warehouse category closest to the article;
if the first alternative warehouse is unique, the first alternative warehouse is used as the warehouse which meets the configuration condition;
and if the first alternative warehouse is not unique, selecting one warehouse of the first alternative warehouse, the inventory turnover rate of which meets a second preset condition, as the warehouse meeting the configuration condition.
6. The method of claim 1, wherein determining the library return policy according to the type of the library return request comprises:
determining the type of a client side which sends the library returning request according to the library returning request;
determining that the ex-warehouse strategy is an intelligent ex-warehouse under the condition that the client type indication is a first client;
and under the condition that the client type indication is a second client, determining the library returning strategy according to the library returning strategy indication information in the library returning request.
7. An article retrieval device, comprising:
the warehouse returning strategy determining module is used for receiving a warehouse returning request of the article and determining a warehouse returning strategy according to the type of the warehouse returning request;
the article warehousing module is used for selecting an optimal warehouse from the warehouses according to one or more attributes of the warehouses and warehousing the articles under the condition that the warehousing strategy is determined to be an intelligent warehousing strategy; and under the condition that the warehouse returning strategy is determined to be the configured warehouse returning, selecting one warehouse which meets the configuration conditions from the warehouses, and returning the warehouse to the article.
8. The apparatus of claim 7, wherein the item regrouping module comprises a first warehouse selection sub-module to:
and acquiring the priority of each attribute of the warehouse, and selecting one warehouse from the warehouses as the optimal warehouse according to the warehouse selection condition of at least one attribute from high to low.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-6.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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| CN202010031957.8A CN113112048A (en) | 2020-01-13 | 2020-01-13 | Method and device for returning articles to warehouse |
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| CN202010031957.8A CN113112048A (en) | 2020-01-13 | 2020-01-13 | Method and device for returning articles to warehouse |
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