CN113177824A - Replenishment task processing method, replenishment task processing device, computer system and readable storage medium - Google Patents

Replenishment task processing method, replenishment task processing device, computer system and readable storage medium Download PDF

Info

Publication number
CN113177824A
CN113177824A CN202110492574.5A CN202110492574A CN113177824A CN 113177824 A CN113177824 A CN 113177824A CN 202110492574 A CN202110492574 A CN 202110492574A CN 113177824 A CN113177824 A CN 113177824A
Authority
CN
China
Prior art keywords
replenishment
target
replenished
information
parameter information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110492574.5A
Other languages
Chinese (zh)
Inventor
丁凯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Century Trading Co Ltd
Beijing Wodong Tianjun Information Technology Co Ltd
Original Assignee
Beijing Jingdong Century Trading Co Ltd
Beijing Wodong Tianjun Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Century Trading Co Ltd, Beijing Wodong Tianjun Information Technology Co Ltd filed Critical Beijing Jingdong Century Trading Co Ltd
Priority to CN202110492574.5A priority Critical patent/CN113177824A/en
Publication of CN113177824A publication Critical patent/CN113177824A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0605—Supply or demand aggregation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present disclosure provides a replenishment task processing method, including: acquiring replenishment parameter information of a plurality of objects to be replenished in a replenishment task; dividing a plurality of objects to be supplemented into different data fragments according to the difference of target supplement parameter values in the supplement parameter information, wherein the target supplement parameter values of the objects to be supplemented in the same data fragment are the same; acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in different data fragments; inputting the target replenishment parameter information into a replenishment model, and outputting a first target replenishment suggestion amount of a first target object to be replenished; and sending the first target replenishment proposal quantity to an ordering platform to realize the processing of the replenishment task.

Description

Replenishment task processing method, replenishment task processing device, computer system and readable storage medium
Technical Field
The present disclosure relates to the field of computers and warehouse logistics, and more particularly, to a replenishment task processing method, device, computer system, and readable storage medium.
Background
With the rapid development of electronic commerce and online shopping, electronic commerce plays an increasingly important role in consumer life, and the number of orders of users increases in geometric multiples every year, so that a warehouse needs to store massive article types and article inventory, namely, the warehouse needs to be capable of completing order picking quickly, and the article storage of the warehouse needs to be improved, thereby improving the storage rate of the whole warehouse. To achieve this, it is inevitable that restocking work is often required.
In implementing the disclosed concept, the inventors found that there are at least the following problems in the related art: the traditional replenishment scheme has high labor cost and low replenishment efficiency.
Disclosure of Invention
In view of the above, the present disclosure provides a replenishment task processing method, device, computer system and readable storage medium.
One aspect of the present disclosure provides a replenishment task processing method, including: acquiring replenishment parameter information of a plurality of objects to be replenished in a replenishment task; dividing a plurality of objects to be supplemented into different data fragments according to the difference of target supplement parameter values in the supplement parameter information, wherein the target supplement parameter values of the objects to be supplemented in the same data fragment are the same; acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in different data fragments; inputting the target replenishment parameter information into a replenishment model, and outputting a first target replenishment suggestion amount of a first target object to be replenished; and sending the first target replenishment proposal quantity to an ordering platform to realize the processing of the replenishment task.
According to an embodiment of the present disclosure, the inputting the target replenishment parameter information into the replenishment model, and the outputting the first target replenishment proposal amount of the first target object to be replenished includes: calculating the safety stock and stock of the first target object to be restocked according to the target restocking parameter information; calculating an initial replenishment suggested amount according to the safety stock and the stock; and under the condition that the target replenishment parameter information comprises at least one of order quantity information and available stock information of a supplier to which the first target object to be replenished belongs, adjusting the initial replenishment recommended amount according to at least one of the order quantity information and the available stock information to obtain the first target replenishment recommended amount.
According to the embodiment of the present disclosure, the target replenishment parameter value includes an inventory information value, and dividing the plurality of objects to be replenished into different data segments according to the difference of the target replenishment parameter value in the replenishment parameter information includes: judging whether the inventory information value is 0 or not; under the condition that the inventory information value is 0, dividing the replenishment parameter information of the object to be replenished with the inventory information value of 0 into one data fragment; and under the condition that the inventory information value is not 0, dividing the replenishment parameter information of the object to be replenished, of which the inventory information value is not 0, into another data fragment.
According to the embodiment of the present disclosure, the target replenishment parameter value includes order information of a supplier to which the object to be replenished belongs, and the dividing the plurality of objects to be replenished into different data segments according to the difference of the target replenishment parameter value in the replenishment parameter information includes: acquiring at least one target supplier having order amount information satisfying a preset condition; and respectively dividing replenishment parameter information of the objects to be replenished belonging to different target suppliers into different data fragments.
According to the embodiment of the present disclosure, the obtaining of the target replenishment parameter information of the first target object to be replenished in the target data slicing includes: acquiring a monitor configured for each target replenishment parameter in the target replenishment parameter information; and monitoring event information related to the target replenishment parameter by using a monitor to obtain target replenishment parameter information.
According to an embodiment of the present disclosure, wherein adjusting the initial replenishment proposal amount according to at least one of the order amount information and the available stock information includes: under the condition that the initial replenishment proposed amount is smaller than the target order amount information of a supplier to which the first target object to be replenished belongs, performing incremental adjustment on the initial replenishment proposed amount according to the target order amount information; and performing decrement adjustment on the initial recommended replenishment quantity according to the target order-initiating quantity information under the condition that the initial recommended replenishment quantity is larger than the target available stock information of a supplier to which the first target object to be replenished belongs.
According to an embodiment of the present disclosure, the method further includes: acquiring a second target object to be replenished preset in the blacklist; under the condition that the first target object to be replenished comprises a second target object to be replenished, acquiring a second target replenishment suggested amount of the first target object to be replenished after the second target object to be replenished is filtered; and sending the second target replenishment proposal amount to an ordering platform.
According to an embodiment of the present disclosure, the method further includes: acquiring index information of target data fragments; and inputting the target replenishment parameter information into the replenishment model in a mode of transmitting the index information.
Another aspect of the present disclosure provides a restocking task processing device including: the first acquisition module is used for acquiring the replenishment parameter information of each of a plurality of objects to be replenished in the replenishment task; the dividing module is used for dividing the multiple objects to be supplemented into different data fragments according to the difference of target supplement parameter values in the supplement parameter information, wherein the target supplement parameter values of the objects to be supplemented in the same data fragment are the same; the second acquisition module is used for acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in different data fragments; the output module is used for inputting the target replenishment parameter information into the replenishment model and outputting a first target replenishment suggestion amount of a first target object to be replenished; and the first sending module is used for sending the first target replenishment suggestion amount to the ordering platform so as to realize the processing of the replenishment task.
According to an embodiment of the present disclosure, wherein the output module includes: the first calculation unit is used for calculating the safety stock and the stock of the first target object to be restocked according to the target restocking parameter information; the second calculation unit is used for calculating the initial replenishment suggestion amount according to the safety stock and the stock; and the adjusting unit is used for adjusting the initial recommended replenishment quantity according to at least one of the order-initiating quantity information and the available inventory information to obtain the first target recommended replenishment quantity under the condition that the target replenishment parameter information comprises at least one of the order-initiating quantity information and the available inventory information of a supplier to which the first target object to be replenished belongs.
According to an embodiment of the present disclosure, wherein the target replenishment parameter value includes an inventory information value, the dividing module includes: a judging unit for judging whether the stock information value is 0; the first dividing unit is used for dividing the replenishment parameter information of the object to be replenished with the inventory information value of 0 into one data fragment under the condition that the inventory information value is 0; and the second dividing unit is used for dividing the replenishment parameter information of the object to be replenished, the inventory information value of which is not 0, into another data fragment under the condition that the inventory information value is not 0.
According to the embodiment of the disclosure, the target replenishment parameter value includes order amount information of a supplier to which the object to be replenished belongs, and the dividing module includes: a first acquisition unit configured to acquire at least one target provider having order amount information satisfying a preset condition; and the third dividing unit is used for dividing the replenishment parameter information of the objects to be replenished belonging to different target suppliers into different data fragments respectively.
According to an embodiment of the present disclosure, wherein the second obtaining module includes: the second acquisition unit is used for acquiring a monitor configured for each target replenishment parameter in the target replenishment parameter information; and the monitoring unit is used for monitoring event information related to the target replenishment parameter by using the monitor to obtain the target replenishment parameter information.
According to an embodiment of the present disclosure, wherein the adjusting unit includes: the first adjusting subunit is used for performing incremental adjustment on the initial replenishment proposal amount according to the target order amount information under the condition that the initial replenishment proposal amount is smaller than the target order amount information of a supplier to which the first target object to be replenished belongs; and a second adjustment subunit, configured to perform decrement adjustment on the initial recommended replenishment amount according to the target order amount information, when the initial recommended replenishment amount is larger than the target available stock information of the supplier to which the first target object to be replenished belongs.
According to an embodiment of the present disclosure, the apparatus further includes: the third acquisition module is used for acquiring a second target object to be replenished preset in the blacklist; the fourth obtaining module is used for obtaining a second target replenishment suggestion amount of the first target object to be replenished after the second target object to be replenished is filtered under the condition that the first target object to be replenished contains the second target object to be replenished; and the second sending module is used for sending the second target replenishment suggestion amount to the ordering platform.
According to an embodiment of the present disclosure, the apparatus further includes: the fifth acquisition module is used for acquiring the index information of the target data fragment; and the input module is used for inputting the target replenishment parameter information into the replenishment model in a mode of transmitting the index information.
Another aspect of the present disclosure provides a computer system comprising: one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as above.
Another aspect of the present disclosure provides a computer-readable storage medium having stored thereon computer-executable instructions for implementing the above method when executed.
Another aspect of the disclosure provides a computer program product comprising computer executable instructions for implementing the method as above when executed.
According to the embodiment of the disclosure, the method comprises the steps of acquiring the replenishment parameter information of each of a plurality of objects to be replenished in a replenishment task; dividing a plurality of objects to be supplemented into different data fragments according to the difference of target supplement parameter values in the supplement parameter information, wherein the target supplement parameter values of the objects to be supplemented in the same data fragment are the same; acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in different data fragments; inputting the target replenishment parameter information into a replenishment model, and outputting a first target replenishment suggestion amount of a first target object to be replenished; the method comprises the steps of dividing a to-be-supplemented object according to the difference of target supplement parameter values, calculating the supplement recommended quantity by combining a supplement model on the basis of the division, and calculating the supplement recommended quantity according to different divisions, so that the technical problems of high labor cost and low supplement accuracy of the traditional supplement scheme are solved at least partially, and the technical effects of reducing labor cost and improving supplement efficiency and accuracy are achieved.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:
FIG. 1 schematically illustrates an exemplary system architecture to which replenishment task processing methods may be applied, according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a flow chart of a replenishment task processing method according to an embodiment of the present disclosure;
FIG. 3 schematically illustrates an architecture diagram of a replenishment task processing system according to an embodiment of the present disclosure;
FIG. 4 schematically illustrates a module functional diagram of a replenishment task processing system according to an embodiment of the present disclosure;
FIG. 5 schematically illustrates an automated restocking data flow diagram, according to an embodiment of the disclosure;
FIG. 6 schematically illustrates a replenishment model calculation flow diagram according to an embodiment of the present disclosure;
FIG. 7 schematically shows a block diagram of a replenishment task processing device according to an embodiment of the present disclosure;
FIG. 8 schematically illustrates a block diagram of a computer system suitable for implementing the above-described method, according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
The method is applied to the daily intelligent replenishment fields of new retail line store-out, supply chain storage and the like. If the multi-state warehouse such as a store warehouse, a logistics warehouse or an e-commerce warehouse has target inventory requirements, an automatic replenishment scheme is urgently needed to save labor cost.
The inventor finds that at present, for commodity replenishment, the conventional manual replenishment is relied on, and the replenishment proposal quantity of replenishable commodities is calculated daily by combining sales forecast, inventory information and replenishment configuration, so as to assist the orderer in making decisions. Many scenes of automatic replenishment only consider that low loss is met and actual requirements cannot be met.
In view of this, in the process of implementing the scheme, in order to improve the automatic single rate, accuracy rate and matching rate of replenishment of the warehouse and ensure the high efficiency of replenishment, for example, multi-level factors are considered, various factors are integrated for calculation, and automatic replenishment is completed through calculation and adjustment.
The embodiment of the disclosure provides a replenishment task processing method. The method comprises the steps of obtaining replenishment parameter information of a plurality of objects to be replenished in a replenishment task; dividing a plurality of objects to be supplemented into different data fragments according to the difference of target supplement parameter values in the supplement parameter information, wherein the target supplement parameter values of the objects to be supplemented in the same data fragment are the same; acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in different data fragments; inputting the target replenishment parameter information into a replenishment model, and outputting a first target replenishment suggestion amount of a first target object to be replenished; and sending the first target replenishment proposal quantity to an ordering platform to realize the processing of the replenishment task.
Fig. 1 schematically illustrates an exemplary system architecture 100 to which replenishment task processing methods may be applied, according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 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, and/or social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 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 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the replenishment task processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the replenishment task processing device provided by the embodiment of the present disclosure may be generally disposed in the server 105. The replenishment task processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the replenishment task processing device provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Alternatively, the replenishment task processing method provided by the embodiment of the present disclosure may also be executed by the terminal device 101, 102, or 103, or may also be executed by another terminal device different from the terminal device 101, 102, or 103. Accordingly, the replenishment task processing device provided by the embodiment of the present disclosure may also be disposed in the terminal device 101, 102, or 103, or in another terminal device different from the terminal device 101, 102, or 103.
For example, the task to be restocked may be originally stored in any one of the terminal apparatuses 101, 102, or 103 (for example, but not limited to, the terminal apparatus 101), or may be stored on an external storage apparatus and may be imported into the terminal apparatus 101. Then, the terminal device 101 may locally execute the replenishment task processing method provided by the embodiment of the present disclosure, or send the task to be replenished to another terminal device, a server, or a server cluster, and execute the replenishment task processing method provided by the embodiment of the present disclosure by another terminal device, a server, or a server cluster that receives the replenishment task.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 2 schematically shows a flowchart of a replenishment task processing method according to an embodiment of the present disclosure.
As shown in fig. 2, the method includes operations S201 to S205.
In operation S201, replenishment parameter information of each of a plurality of objects to be replenished in the replenishment task is acquired.
According to an embodiment of the present disclosure, the restocking parameter information may include: target inventory information, fields required by model parameters, delivery duration (vlt), replenishment frequency (nrt), predicted sales volume per day for a future period of time, sales standard deviation, service factor (K), minimum display volume (minis), display volume (dis), boxed inventory (basketdms), and so forth.
According to an embodiment of the present disclosure, the predicted sales per day for a certain period of time in the future may include predicted sales per day for 60 days in the future, predicted sales per day for 90 days in the future, predicted sales per day for 120 days in the future, and the like, and the certain period of time in the future is not particularly limited by the present disclosure.
In operation S202, according to the difference of the target replenishment parameter values in the replenishment parameter information, the multiple objects to be replenished are divided into different data segments, where the target replenishment parameter values of the objects to be replenished in the same data segment are the same.
According to an embodiment of the present disclosure, the target replenishment parameter value may include: stock information value, supplier's order amount information, etc., wherein the order amount information may include an order amount, an order quantity, etc.
According to the embodiment of the disclosure, the data slicing can be realized by classifying the target replenishment parameter values according to the difference of values and then dividing the objects to be replenished corresponding to the target replenishment parameter values of different classes into the same slicing. For example, objects to be restocked that have the same target restocking parameter value may be sorted into the same data slice.
In operation S203, target replenishment parameter information of a first target object to be replenished in target data segments of different data segments is acquired.
According to the embodiment of the disclosure, the target data fragment is, for example, any one of all the divided data fragments. The first target object to be replenished may be all objects to be replenished which are divided into the target data segment. The acquired target replenishment parameter information may be all available attribute information of the first target object to be replenished, including, for example: forecast data, target inventory, delivery duration vlt, replenishment frequency nrt, additional safety days buffer, stock days, minimum display, frame stock and the like.
In operation S204, the target replenishment parameter information is input into the replenishment model, and a first target replenishment recommended amount of the first target object to be replenished is output.
According to the embodiment of the disclosure, the target replenishment parameter information can be issued to the replenishment calculation node through mq (message middleware), and the replenishment calculation node can select an automatic replenishment model for calculating the target inventory through a strategy mode after receiving the mq message.
In operation S205, the first target replenishment proposal amount is sent to the ordering platform to implement the processing of the replenishment task.
According to the embodiment of the disclosure, the replenishment object is sliced according to the difference of the target replenishment parameter value, the replenishment proposal amount is calculated by combining the replenishment model on the basis of the slicing, and the replenishment proposal amount is calculated according to the pertinence of different slices, so that the technical problems of high labor cost, long replenishment time, low replenishment accuracy, large warehouse inventory loss and large operation workload of the traditional replenishment scheme are solved.
The method shown in fig. 2 will be further explained with reference to fig. 3 to 4.
Fig. 3 schematically shows an architecture diagram of a replenishment task processing system according to an embodiment of the present disclosure.
FIG. 4 schematically illustrates a module functional diagram of a replenishment task processing system according to an embodiment of the present disclosure.
As shown in fig. 3 and 4, in order to implement the replenishment task processing method, a replenishment system for supporting a replenishment model is designed.
Referring to fig. 3, the replenishment system includes, for example, a basic data layer, a calculation execution layer, a data analysis layer, a data receiving layer, and a business execution layer.
According to an embodiment of the present disclosure, the basic data layer may provide core calculation parameter data for replenishment calculation, that is, the replenishment parameter information. This data may be represented, for example, as preamble data in fig. 4.
According to an embodiment of the present disclosure, the computation execution layer serves as a core computation layer, and core computation power can be provided. This layer may be represented, for example, as the multiple compute model module and the core compute hub module in FIG. 4.
According to an embodiment of the present disclosure, the data analysis layer may, for example, persist data, may provide analysis capabilities for replenishment history data. This layer may be represented, for example, as the data yield module in FIG. 4.
According to the embodiment of the disclosure, the data receiving layer can automatically place orders based on the recommended replenishment quantity. For example, the replenishment order may be automatically sent after receiving the recommended amount of replenishment, completing the automatic order placement.
The business execution layer may, for example, implement purchase ordering, i.e., manual ordering. This layer may correspond to, for example, a PC terminal or a PDA (hand-held warehouse management terminal) in fig. 4, and the acquiring and selling person may perform manual purchase ordering through the PC terminal or the PDA.
According to an embodiment of the present disclosure, the target replenishment parameter value may include an inventory information value, and dividing the plurality of objects to be replenished into different data segments according to a difference of the target replenishment parameter value in the replenishment parameter information includes: judging whether the inventory information value is 0 or not; under the condition that the inventory information value is 0, dividing the replenishment parameter information of the object to be replenished with the inventory information value of 0 into one data fragment; and under the condition that the inventory information value is not 0, dividing the replenishment parameter information of the object to be replenished, of which the inventory information value is not 0, into another data fragment.
According to an embodiment of the present disclosure, the conditions for performing data fragmentation may be, for example: and judging whether the object to be replenished has inventory information or not. For example, the object to be replenished without inventory information is taken as one piece, and the object to be replenished with inventory information is taken as another piece.
According to the embodiment of the disclosure, the target replenishment parameter value includes order amount information of a supplier to which the object to be replenished belongs, and the dividing the plurality of objects to be replenished into different data segments according to the difference of the target replenishment parameter value in the replenishment parameter information includes: acquiring at least one target supplier having order amount information satisfying a preset condition; and respectively dividing replenishment parameter information of the objects to be replenished belonging to different target suppliers into different data fragments.
According to the embodiment of the present disclosure, if the order amount request, for example, the order amount, and the like, is made by the product supplier to be restocked, the data fragmentation may be performed by using the order amount information of the supplier as the condition of the data fragmentation. For example, the object to be replenished corresponding to the supplier with the set-up amount of a is taken as one data segment, and the object to be replenished corresponding to the supplier with the set-up amount of B is taken as another data segment. For another example, the object to be replenished corresponding to the supplier whose order quantity is C or the object to be replenished whose order quantity is C is taken as one data segment, and the object to be replenished corresponding to the supplier whose order quantity is D or the object to be replenished whose order quantity is D is taken as another data segment.
It should be noted that the value A, B, C, D may be a specific value or a data range.
According to the embodiments of the present disclosure, in combination with the above embodiments, for example, the inventory information of the object to be replenished and the order amount requirement of the supplier may be simultaneously used as the slicing condition for data slicing. For example, the object to be replenished corresponding to a supplier which meets the non-stock information data and meets a certain order quantity requirement at the same time can be taken as a data fragment; and taking the supplier which simultaneously accords with the inventory information data and meets a certain ordering quantity requirement as another data fragment, and verifying the supply quantity through the data fragment.
According to the embodiment of the disclosure, the order amount information of the supplier is used as a data slice to calculate the target initial replenishment proposal amount. And adjusting according to the target initial replenishment suggested amount to ensure that the order amount information of the data of one data fragment meets the requirements of a supplier, and finally generating the target replenishment suggested amount meeting the requirements.
According to the embodiment of the disclosure, the obtaining of the target replenishment parameter information of the first target object to be replenished in the target data fragmentation comprises: acquiring a monitor configured for each target replenishment parameter in the target replenishment parameter information; and monitoring event information related to the target replenishment parameter by using a monitor to obtain target replenishment parameter information.
According to an embodiment of the present disclosure, the event monitoring mechanism may include an event subscription and a policy mode, which may be applied to data capture of replenishment parameter information of the object to be replenished in each data fragment. When data capture is carried out, event subscription can be completed by sending a capture event in advance, and then related event information can be acquired by monitoring the event through a monitor. For example, each replenishment calculation parameter has a monitor, specifically, if "the minimum order amount of a certain supplier" is defined as an event, a monitor is configured corresponding to the minimum order amount, and as long as the monitor monitors the event related to the target replenishment parameter, the monitors capture corresponding field data and supplement the field data to the product, thereby realizing a more flexible capture mode.
According to an embodiment of the disclosure, the grab data content may include grab forecast data, target inventory, delivery duration vlt, replenishment frequency nrt, additional safety days buffer, stock days, minimum display, frame stock, and the like.
According to the embodiment of the disclosure, data isomerism of the captured data can be realized through an event monitoring mechanism, and the captured data is assembled into a basic data object, so that basic capability is provided for next calculation.
According to the embodiment of the disclosure, inputting the target replenishment parameter information into the replenishment model, and outputting the first target replenishment proposal amount of the first target object to be replenished comprises: calculating the safety stock and stock of the first target object to be restocked according to the target restocking parameter information; calculating an initial replenishment suggested amount according to the safety stock and the stock; and under the condition that the target replenishment parameter information comprises at least one of order quantity information and available stock information of a supplier to which the first target object to be replenished belongs, adjusting the initial replenishment recommended amount according to at least one of the order quantity information and the available stock information to obtain the first target replenishment recommended amount.
According to the embodiment of the disclosure, the replenishment model can be realized by combining the safety stock model, the stock model and the initial replenishment suggestion model.
According to embodiments of the present disclosure, the safety inventory model may be:
Figure BDA0003052394710000131
the stock inventory model may be:
stop up sum (fcst (vlt + nrt),.. fcst (vlt + nrt + stop _ day)) (two).
The initial replenishment recommendation model may be:
req, safe + stockup-available (iii).
Wherein fcst (i) represents the predicted sales for i days in the future; vlt as the length of the arrival time; nrt is expressed as replenishment frequency; buffer is expressed as an added buffer value; busket _ num represents the frame-left inventory; display is expressed as a number of shelf displays; min _ Display represents the minimum number of shelf displays; stock up _ day is expressed as the number of days in stock; available represents the existing inventory.
According to the embodiment of the disclosure, the initial replenishment proposal quantity of the target inventory requirement can be calculated through the model.
According to the embodiment of the disclosure, the calculated initial replenishment proposal amount may have some gaps with the current automatic replenishment content, limited by the available space of the supplier and some additional factors in the actual scene. For example, there may be some inventory currently in stock that is not in stock or available, inventory in transit, inventory to be delivered, and order quantity requirements for suppliers including order amount, order quantity requirements, etc. For example, there is a problem of the available supply amount for some suppliers at the same time.
According to the embodiment of the disclosure, when the target inventory is different from the current automatic replenishment content, the initial replenishment proposal amount of the target inventory needs to be adjusted, so that the replenishment proposal amount meeting the requirement is finally generated, and the automatic replenishment is realized.
According to an embodiment of the present disclosure, adjusting the initial replenishment proposal amount according to at least one of the order amount information and the available stock information includes: under the condition that the initial replenishment proposed amount is smaller than the target order amount information of a supplier to which the first target object to be replenished belongs, performing incremental adjustment on the initial replenishment proposed amount according to the target order amount information; and performing decrement adjustment on the initial recommended replenishment quantity according to the target order-initiating quantity information under the condition that the initial recommended replenishment quantity is larger than the target available stock information of a supplier to which the first target object to be replenished belongs.
According to the embodiment of the disclosure, the adjustment of the initial recommended replenishment quantity can be monitored by the adjusting module, the adjusting module can monitor an MQ (message middleware) message sent by replenishment calculation, the MQ message can have the calculated initial recommended replenishment quantity, and after the adjusting module monitors the message, the adjusting module can adjust according to whether the message meets the replenishment requirement or not.
According to an embodiment of the present disclosure, for example, if the initial replenishment proposal amount does not meet the minimum order making requirement, an order making incremental adjustment is made; if the replenishment quantity exceeds the actual inventory of the warehouse, a supply quantity down-regulation is performed.
According to the embodiment of the disclosure, the replenishment task processing method further comprises the following steps: acquiring a second target object to be replenished preset in the blacklist; under the condition that the first target object to be replenished comprises a second target object to be replenished, acquiring a second target replenishment suggested amount of the first target object to be replenished after the second target object to be replenished is filtered; and sending the second target replenishment proposal amount to an ordering platform.
According to the embodiment of the disclosure, the second target object to be replenished, which does not need to be replenished in the first target object to be replenished, can be automatically filtered by setting the filtering module, and finally, the recommended replenishment quantity of the first object to be replenished, which does not need to be replenished in the second target object to be replenished, is pushed to the working platform or the automatic ordering platform for automatic ordering.
According to the embodiment of the disclosure, the replenishment task processing method further comprises the following steps: acquiring index information of target data fragments; and inputting the target replenishment parameter information into the replenishment model in a mode of transmitting the index information.
According to the embodiment of the disclosure, the transmission of the fragmented data adopts data index transmission, so that the limitation of mq on the length of a message body can be avoided.
The replenishment model flow described above will be further specifically described with reference to fig. 5 to 6.
FIG. 5 schematically illustrates an automated restocking data flow diagram, according to an embodiment of the disclosure.
As shown in fig. 5, the whole replenishment calculation can be sent out by MQ through the change of the basic data for one-step consumption, and meanwhile, a timing compensation task can be set to realize timing compensation of heterogeneous basic data.
According to the embodiment of the present disclosure, referring to fig. 5, the replenishment parameter information of each object to be replenished may be obtained by the other business systems, data marts, and business system layout blocks shown in fig. 5. The data of other business systems can be stored in the data platform, and the data of the data mart and the business systems can be stored in the data storage module. The intelligent replenishment calculation system can collect replenishment parameter information from the data platform and the data storage module in a direct calling or sql query mode, and the replenishment model is preset in the intelligent replenishment calculation system. The obtained replenishment parameter information can be processed by a replenishment model in the intelligent replenishment calculation system, and a target replenishment suggestion amount is finally obtained. The target replenishment recommended amount can be transmitted to the intelligent replenishment central control console through the MQ, so that the intelligent replenishment central control console can send the target replenishment recommended amount to the automatic ordering system based on the target replenishment recommended amount, and manual or automatic ordering is finally realized.
FIG. 6 schematically shows a replenishment model calculation flow diagram according to an embodiment of the disclosure.
According to the embodiment of the present disclosure, as shown in fig. 6, the automatic replenishment model calculation process mainly includes: slicing, data capture, initial computation, adjustment (which may include, for example, order-making adjustment, supply quantity adjustment), automatic filtering, push bench, or automatic ordering. The replenishment model may be set up as a flow of initial calculations and adjustments therein.
According to the embodiment of the disclosure, during fragmentation, the current task is started and the classified data is obtained by using the start parameter configured by operation, for example, by using a certain parameter as a reference, so as to obtain the data fragmentation. For example, the range of the basic data may be obtained by querying the database, and then fragmentation may be performed by using the starting parameter such as whether stock information exists or not as a fragmentation condition; the data slice may then be sent to the next data fetch module over mq.
According to the embodiment of the disclosure, basic data is mainly captured during data capture, and captured data can be assembled into parameters required by calculation. The module can be combined with an event monitoring mechanism and other modes to realize the capture of heterogeneous data, and the data can be assembled into a basic data object after the capture is finished, so that basic data is provided for the calculation of the next initial replenishment proposal amount.
According to an embodiment of the present disclosure, the initial calculation may be used for calculation of the initial replenishment proposal amount, and the slicing calculation is mainly implemented by using message middleware (such as the mq part in fig. 5) and a cache (the data storage part in fig. 5). In the module, distributed computing fragmentation logic can be optimized, data are aggregated in advance in the fragmentation process, data aggregation in computing is avoided, an ideal distributed processing effect of one-time fragmentation and everywhere parallel is achieved, and concurrency performance is improved. The fragmented data can provide the degradation capability when the cache is unavailable by adopting a cache + database double-write strategy, for example, data can be extracted from the database when the cache has a problem, the computing service is nodulated, and the computing capability can be further improved by horizontal expansion. The fragment data can be issued to the replenishment calculation node through mq, and the replenishment calculation node can select a replenishment model through a strategy mode after receiving the mq message, wherein the replenishment model is an automatic replenishment model for realizing target inventory. The calculation of the specific initial replenishment proposal amount is obtained through the safety stock model, the stock model and the initial replenishment proposal amount model.
According to the embodiment of the disclosure, during adjustment, according to whether a difference exists between the initial recommended replenishment quantity of the target inventory and the current automatic replenishment content, the initial recommended replenishment quantity of the target inventory is adjusted and the supply quantity is adjusted, and finally the recommended replenishment quantity meeting the requirement is generated.
According to the embodiment of the disclosure, the replenishment objects which cannot be replenished automatically or exist in the blacklist in the objects to be replenished can be filtered out during automatic filtering.
According to the embodiment of the disclosure, the finally generated replenishment suggestion amount can be sent to the ordering platform during pushing, automatic ordering is carried out, and the processing of the replenishment task is completed.
Fig. 7 schematically shows a block diagram of a replenishment task processing device according to an embodiment of the present disclosure.
As shown in fig. 7, the restocking task processing device 700 includes a first obtaining module 710, a dividing module 720, a second obtaining module 730, an outputting module 740, and a first transmitting module 750.
A first obtaining module 710, configured to obtain replenishment parameter information of each of multiple objects to be replenished in a replenishment task;
the dividing module 720 is configured to divide the multiple objects to be replenished into different data segments according to differences between target replenishment parameter values in the replenishment parameter information, where the target replenishment parameter values of the objects to be replenished in the same data segment are the same;
the second obtaining module 730 is configured to obtain target replenishment parameter information of a first target object to be replenished in target data fragmentation of different data fragmentation;
the output module 740 is configured to input the target replenishment parameter information into the replenishment model, and output a first target replenishment suggestion amount of the first target object to be replenished; and
and the first sending module 750 is configured to send the first target replenishment suggestion amount to the ordering platform to implement processing of the replenishment task.
According to the embodiment of the disclosure, the replenishment parameter information of each of a plurality of objects to be replenished in the replenishment task is acquired; dividing a plurality of objects to be supplemented into different data fragments according to the difference of target supplement parameter values in the supplement parameter information, wherein the target supplement parameter values of the objects to be supplemented in the same data fragment are the same; acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in different data fragments; inputting the target replenishment parameter information into a replenishment model, and outputting a first target replenishment suggestion amount of a first target object to be replenished; and the first target replenishment suggestion amount is sent to the ordering platform, so that the replenishment task is processed, the technical problems of high labor cost, long replenishment timeliness, low replenishment accuracy, large warehouse inventory loss and large operation workload of the conventional replenishment scheme are solved, and the new replenishment model for automatic replenishment is modified and upgraded to adapt to relevant service scenes, so that the automatic single coverage rate is improved, the replenishment failure is improved, and the problem of a supply chain is solved.
According to an embodiment of the present disclosure, the output module 740 includes: the device comprises a first calculating unit, a second calculating unit and an adjusting unit.
The first calculation unit is used for calculating the safety stock and the stock of the first target object to be restocked according to the target restocking parameter information;
the second calculation unit is used for calculating the initial replenishment suggestion amount according to the safety stock and the stock; and
and the adjusting unit is used for adjusting the initial recommended replenishment quantity according to at least one of the order-initiating quantity information and the available inventory information to obtain the first target recommended replenishment quantity under the condition that the target replenishment parameter information comprises at least one of the order-initiating quantity information and the available inventory information of a supplier to which the first target object to be replenished belongs.
According to an embodiment of the present disclosure, the target replenishment parameter value includes an inventory information value, and the dividing module 720 includes: the device comprises a judging unit, a first dividing unit and a second dividing unit.
A judging unit for judging whether the stock information value is 0;
the first dividing unit is used for dividing the replenishment parameter information of the object to be replenished with the inventory information value of 0 into one data fragment under the condition that the inventory information value is 0; and
and the second dividing unit is used for dividing the replenishment parameter information of the object to be replenished, of which the inventory information value is not 0, into another data fragment under the condition that the inventory information value is not 0.
According to an embodiment of the present disclosure, the target replenishment parameter value includes order amount information of a supplier to which the object to be replenished belongs, and the dividing module 720 further includes: the device comprises a first acquisition unit and a third division unit.
A first acquisition unit configured to acquire at least one target provider having order amount information satisfying a preset condition; and
and the third dividing unit is used for dividing the replenishment parameter information of the objects to be replenished belonging to different target suppliers into different data fragments respectively.
According to an embodiment of the present disclosure, the second obtaining module 730 includes: a second acquisition subunit and an acquisition unit.
The second acquisition unit is used for acquiring a monitor configured for each target replenishment parameter in the target replenishment parameter information; and
and the monitoring unit is used for monitoring event information related to the target replenishment parameter by using the monitor to obtain the target replenishment parameter information.
According to an embodiment of the present disclosure, the adjusting unit includes: a first regulating subunit and a second regulating subunit.
The first adjusting subunit is used for performing incremental adjustment on the initial replenishment proposal amount according to the target order amount information under the condition that the initial replenishment proposal amount is smaller than the target order amount information of a supplier to which the first target object to be replenished belongs; and
and the second adjusting subunit is used for performing decrement adjustment on the initial recommended replenishment quantity according to the target order initiating quantity information under the condition that the initial recommended replenishment quantity is larger than the target available stock information of a supplier to which the first target object to be replenished belongs.
According to an embodiment of the present disclosure, the replenishment processing apparatus 700 further includes: the device comprises a third acquisition module, a fourth acquisition module and a second sending module.
The third acquisition module is used for acquiring a second target object to be replenished preset in the blacklist;
the fourth obtaining module is used for obtaining a second target replenishment suggestion amount of the first target object to be replenished after the second target object to be replenished is filtered under the condition that the first target object to be replenished contains the second target object to be replenished; and
and the second sending module is used for sending the second target replenishment suggestion amount to the ordering platform.
According to an embodiment of the present disclosure, the replenishment processing apparatus 700 further includes: a fifth acquisition module and an input module.
The fifth acquisition module is used for acquiring the index information of the target data fragment; and
and the input module is used for inputting the target replenishment parameter information into the replenishment model in a mode of transmitting the index information.
Any of the modules, units, or at least part of the functionality of any of them according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules and units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, units according to the embodiments of the present disclosure may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by any other reasonable means of hardware or firmware by integrating or packaging the circuits, or in any one of three implementations of software, hardware and firmware, or in any suitable combination of any of them. Alternatively, one or more of the modules, units according to embodiments of the present disclosure may be implemented at least partly as computer program modules, which, when executed, may perform the respective functions.
For example, any plurality of the first obtaining module 710, the dividing module 720, the second obtaining module 730, the output module 740, and the first sending module 750 may be combined in one module/unit to be implemented, or any one of the modules/units may be split into a plurality of modules/units. Alternatively, at least part of the functionality of one or more of these modules/units may be combined with at least part of the functionality of other modules/units and implemented in one module/unit. According to an embodiment of the present disclosure, at least one of the first obtaining module 710, the dividing module 720, the second obtaining module 730, the outputting module 740, and the first sending module 750 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or an appropriate combination of any several of them. Alternatively, at least one of the first obtaining module 710, the dividing module 720, the second obtaining module 730, the outputting module 740 and the first sending module 750 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.
It should be noted that the replenishment task processing device part in the embodiment of the present disclosure corresponds to the replenishment task processing method part in the embodiment of the present disclosure, and the description of the replenishment task processing device part specifically refers to the replenishment task processing method part, and is not described herein again.
FIG. 8 schematically illustrates a block diagram of a computer system suitable for implementing the above-described method, according to an embodiment of the present disclosure. The computer system illustrated in FIG. 8 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 8, a computer system 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to 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. The processor 801 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.
In the RAM 803, various programs and data necessary for the operation of the system 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 802 and/or RAM 803. Note that the programs may also be stored in one or more memories other than the ROM 802 and RAM 803. The processor 801 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
System 800 may also include an input/output (I/O) interface 805, also connected to bus 804, according to an embodiment of the disclosure. The system 800 may also include one or more of the following components 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.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure 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 storage medium, the computer program containing program code for performing the method illustrated by 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, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: 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), 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 disclosure, 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.
For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 802 and/or RAM 803 described above and/or one or more memories other than the ROM 802 and RAM 803.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method provided by the embodiments of the present disclosure, when the computer program product is run on an electronic device, the program code being configured to cause the electronic device to implement the replenishment task processing method provided by the embodiments of the present disclosure.
The computer program, when executed by the processor 801, performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of a signal on a network medium, distributed, downloaded and installed via communication section 809, and/or installed from removable media 811. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
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 disclosure. 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. Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims (12)

1. A replenishment task processing method comprises the following steps:
acquiring replenishment parameter information of a plurality of objects to be replenished in a replenishment task;
dividing the multiple objects to be replenished into different data fragments according to the difference of target replenishment parameter values in the replenishment parameter information, wherein the target replenishment parameter values of the objects to be replenished in the same data fragment are the same;
acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in the different data fragments;
inputting the target replenishment parameter information into a replenishment model, and outputting a first target replenishment suggestion amount of the first target object to be replenished; and
and sending the first target replenishment proposal quantity to an ordering platform to realize the processing of the replenishment task.
2. The method of claim 1, wherein the target replenishment parameter information is input into a replenishment model, and outputting a first target replenishment proposal amount for the first target object to be replenished comprises:
calculating the safety stock and stock of the first target object to be restocked according to the target restocking parameter information;
calculating an initial replenishment suggested amount according to the safety stock and the stock; and
and under the condition that the target replenishment parameter information comprises at least one of order-making amount information and available stock information of a supplier to which the first target object to be replenished belongs, adjusting the initial replenishment recommended amount according to at least one of the order-making amount information and the available stock information to obtain the first target replenishment recommended amount.
3. The method of claim 1, wherein the target replenishment parameter value comprises an inventory information value, and the dividing the plurality of objects to be replenished into different data slices according to the difference of the target replenishment parameter value in the replenishment parameter information comprises:
judging whether the inventory information value is 0 or not;
under the condition that the stock information value is 0, dividing the replenishment parameter information of the object to be replenished with the stock information value of 0 into one data fragment; and
and under the condition that the stock information value is not 0, dividing the replenishment parameter information of the object to be replenished, of which the stock information value is not 0, into another data fragment.
4. The method of claim 1, wherein the target replenishment parameter value comprises order information of a supplier to which the object to be replenished belongs, and the dividing the plurality of objects to be replenished into different data segments according to the difference of the target replenishment parameter value in the replenishment parameter information comprises:
acquiring at least one target supplier having order amount information satisfying a preset condition; and
and respectively dividing replenishment parameter information of the objects to be replenished belonging to different target suppliers into different data fragments.
5. The method of claim 1, wherein obtaining target replenishment parameter information for a first target object to be replenished in target data shards comprises:
acquiring a monitor configured for each target replenishment parameter in the target replenishment parameter information; and
and monitoring event information related to the target replenishment parameter by using the monitor to obtain the target replenishment parameter information.
6. The method of claim 2, wherein adjusting the initial replenishment proposal amount based on at least one of the order amount information and the available inventory information comprises:
when the initial recommended replenishment quantity is smaller than target order-initiating quantity information of a supplier to which the first target object to be replenished belongs, performing incremental adjustment on the initial recommended replenishment quantity according to the target order-initiating quantity information; and
and when the initial recommended replenishment quantity is larger than the target available stock information of the supplier to which the first target object to be replenished belongs, performing decrement adjustment on the initial recommended replenishment quantity according to the target order initiating quantity information.
7. The method of claim 1, further comprising:
acquiring a second target object to be replenished preset in the blacklist;
under the condition that the first target object to be replenished comprises the second target object to be replenished, acquiring a second target replenishment suggestion amount of the first target object to be replenished after the second target object to be replenished is filtered; and
and sending the second target replenishment proposal amount to the ordering platform.
8. The method of claim 1, further comprising:
acquiring index information of the target data fragment; and
and inputting the target replenishment parameter information into a replenishment model in a mode of transmitting the index information.
9. A replenishment task processing device comprising:
the first acquisition module is used for acquiring the replenishment parameter information of each of a plurality of objects to be replenished in the replenishment task;
the dividing module is used for dividing the multiple objects to be supplemented into different data fragments according to the difference of target supplement parameter values in the supplement parameter information, wherein the target supplement parameter values of the objects to be supplemented in the same data fragment are the same;
the second acquisition module is used for acquiring target replenishment parameter information of a first target object to be replenished in target data fragments in the different data fragments;
the output module is used for inputting the target replenishment parameter information into a replenishment model and outputting a first target replenishment suggestion amount of the first target object to be replenished; and
and the first sending module is used for sending the first target replenishment suggestion amount to an ordering platform so as to realize the processing of the replenishment task.
10. A computer system, comprising:
one or more processors;
a memory for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-8.
11. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 8.
12. A computer program product comprising computer executable instructions for implementing the method of any one of claims 1 to 8 when executed.
CN202110492574.5A 2021-05-06 2021-05-06 Replenishment task processing method, replenishment task processing device, computer system and readable storage medium Pending CN113177824A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110492574.5A CN113177824A (en) 2021-05-06 2021-05-06 Replenishment task processing method, replenishment task processing device, computer system and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110492574.5A CN113177824A (en) 2021-05-06 2021-05-06 Replenishment task processing method, replenishment task processing device, computer system and readable storage medium

Publications (1)

Publication Number Publication Date
CN113177824A true CN113177824A (en) 2021-07-27

Family

ID=76928302

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110492574.5A Pending CN113177824A (en) 2021-05-06 2021-05-06 Replenishment task processing method, replenishment task processing device, computer system and readable storage medium

Country Status (1)

Country Link
CN (1) CN113177824A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113673872A (en) * 2021-08-23 2021-11-19 北京京东振世信息技术有限公司 Replenishment processing method and device, storage medium and electronic equipment
CN114048931A (en) * 2022-01-13 2022-02-15 北京京东振世信息技术有限公司 Replenishment information generation method and device, electronic equipment and computer readable medium
WO2023165170A1 (en) * 2022-03-01 2023-09-07 北京沃东天骏信息技术有限公司 Restocking system, method, and device

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130325672A1 (en) * 2012-05-31 2013-12-05 Sap Ag Mobile forecasting of sales using customer stock levels in a supplier business system
CN109559195A (en) * 2018-11-07 2019-04-02 腾讯科技（深圳）有限公司 Shopping management method, system and relevant device for unmanned supermarket
CN110363454A (en) * 2018-04-09 2019-10-22 杉数科技(北京)有限公司 For determining the method and device of commodity replenishment quantity
CN110673945A (en) * 2018-07-03 2020-01-10 北京京东尚科信息技术有限公司 Distributed task management method and management system
CN110751497A (en) * 2018-07-23 2020-02-04 北京京东尚科信息技术有限公司 Commodity replenishment method and device
CN110874751A (en) * 2018-08-29 2020-03-10 北京京东尚科信息技术有限公司 Supermarket replenishment method and system
CN111178797A (en) * 2019-12-21 2020-05-19 武汉微批科技有限公司 Inventory replenishment scheduling method and system
CN111429048A (en) * 2019-01-09 2020-07-17 北京沃东天骏信息技术有限公司 Method, device and equipment for determining replenishment information
CN111597033A (en) * 2019-02-20 2020-08-28 北京京东尚科信息技术有限公司 Task scheduling method and device
CN112036802A (en) * 2020-11-04 2020-12-04 北京每日优鲜电子商务有限公司 Article replenishment information display method and device, electronic equipment and readable medium
US20210035250A1 (en) * 2019-06-27 2021-02-04 Tata Consultancy Services Limited Method and system for adaptive inventory replenishment

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130325672A1 (en) * 2012-05-31 2013-12-05 Sap Ag Mobile forecasting of sales using customer stock levels in a supplier business system
CN110363454A (en) * 2018-04-09 2019-10-22 杉数科技(北京)有限公司 For determining the method and device of commodity replenishment quantity
CN110673945A (en) * 2018-07-03 2020-01-10 北京京东尚科信息技术有限公司 Distributed task management method and management system
CN110751497A (en) * 2018-07-23 2020-02-04 北京京东尚科信息技术有限公司 Commodity replenishment method and device
CN110874751A (en) * 2018-08-29 2020-03-10 北京京东尚科信息技术有限公司 Supermarket replenishment method and system
CN109559195A (en) * 2018-11-07 2019-04-02 腾讯科技（深圳）有限公司 Shopping management method, system and relevant device for unmanned supermarket
CN111429048A (en) * 2019-01-09 2020-07-17 北京沃东天骏信息技术有限公司 Method, device and equipment for determining replenishment information
CN111597033A (en) * 2019-02-20 2020-08-28 北京京东尚科信息技术有限公司 Task scheduling method and device
US20210035250A1 (en) * 2019-06-27 2021-02-04 Tata Consultancy Services Limited Method and system for adaptive inventory replenishment
CN111178797A (en) * 2019-12-21 2020-05-19 武汉微批科技有限公司 Inventory replenishment scheduling method and system
CN112036802A (en) * 2020-11-04 2020-12-04 北京每日优鲜电子商务有限公司 Article replenishment information display method and device, electronic equipment and readable medium

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
N. BUCHBINDER: "Online make-to-order joint replenishment model: primal dual competitive algorithms", SODA \'08: PROCEEDINGS OF THE NINETEENTH ANNUAL ACM-SIAM SYMPOSIUM ON DISCRETE ALGORITHMS, 20 January 2008 (2008-01-20) *
丁沂;: "零售业管理信息系统自动补货模型设计", 武汉船舶职业技术学院学报, no. 02 *
王红凯;郑生军;郭龙华;刘昀;: "海量数据下分布式IT资产安全监测系统", 信息网络安全, no. 02, 10 February 2016 (2016-02-10) *
陈冈: "基于组件群的分布式第三方物流信息系统的研究", 情报杂志, no. 05, 18 May 2005 (2005-05-18) *
颜文;张仁颐;: "论连锁店的分店补货模型", 物流科技, no. 10 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113673872A (en) * 2021-08-23 2021-11-19 北京京东振世信息技术有限公司 Replenishment processing method and device, storage medium and electronic equipment
CN113673872B (en) * 2021-08-23 2024-04-16 北京京东振世信息技术有限公司 Method and device for processing replenishment, storage medium and electronic equipment
CN114048931A (en) * 2022-01-13 2022-02-15 北京京东振世信息技术有限公司 Replenishment information generation method and device, electronic equipment and computer readable medium
WO2023165170A1 (en) * 2022-03-01 2023-09-07 北京沃东天骏信息技术有限公司 Restocking system, method, and device

Similar Documents

Publication Publication Date Title
CN113177824A (en) Replenishment task processing method, replenishment task processing device, computer system and readable storage medium
US10636008B2 (en) Data processing system and method
CN110826831A (en) Method and device for restocking a picking zone of a warehouse
CN109961306B (en) Method and device for distributing inventory of articles
CN111292030A (en) Bin selection method and device and computer readable storage medium
CN110020817B (en) Purchasing method, device, system and medium
US11223670B1 (en) Multi request asynchronous delegation for enhanced performance
CN112488602A (en) Replenishment method, device and system
CN110738436A (en) method and device for determining available stock
CN111798167B (en) Warehouse replenishment method and device
US11693385B2 (en) Automated slot adjustment tool
CN114663015A (en) Replenishment method and device
CN110858332B (en) Order production method and device
CN109978421B (en) Information output method and device
CN110827102A (en) Method and device for adjusting goods price ratio
CN110895761A (en) Method and device for processing after-sale service application information
CN110858350A (en) Order processing method and system, computer system and computer readable storage medium
CN117217669A (en) Order and logistics matching method, system and storage medium based on big data
US10621622B1 (en) Adaptive sequencing of notifications in a client server architecture
CN112862415B (en) Transportation vehicle scheduling method and device, electronic equipment and computer readable medium
CN113436003A (en) Duration determination method, duration determination device, electronic device, medium, and program product
CN113822516A (en) Matching method and device for distribution and transportation side
CN113780611A (en) Inventory management method and device
WO2023165170A1 (en) Restocking system, method, and device
CN110956477A (en) Method and device for determining optimal price of commodity

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination