CN111242532A - Purchasing management method and device and electronic equipment - Google Patents

Purchasing management method and device and electronic equipment Download PDF

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Publication number
CN111242532A
CN111242532A CN202010009099.7A CN202010009099A CN111242532A CN 111242532 A CN111242532 A CN 111242532A CN 202010009099 A CN202010009099 A CN 202010009099A CN 111242532 A CN111242532 A CN 111242532A
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information
purchasing
purchase
target
supplier
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刘永霞
陶兴源
汪建新
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Miaozhen Information Technology Co Ltd
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Miaozhen Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0605—Supply or demand aggregation

Abstract

The application provides a purchase management method, a purchase management device and electronic equipment, wherein the purchase management method comprises the following steps: acquiring the purchasing amount information of a purchasing target from a database; judging whether the purchase amount information is larger than a preset value or not; when the purchase amount information is judged to be larger than a preset value, acquiring supplier information; and generating a purchasing scheme based on the supplier information and the purchasing amount information.

Description

Purchasing management method and device and electronic equipment
Technical Field
The application relates to the field of big information, in particular to a purchase management method and device and electronic equipment.
Background
In the existing supply and demand relationship, the purchasing process is completed by manual operation, purchasing personnel purchase commodities at suppliers, and due to irregular purchasing and floating commodity price, the purchased commodities cannot be reasonably planned. The existing supply chain analysis system generally only aims at the problems of single link, one side of information, no big information and the like, and more problems are highlighted when the system is applied to purchase analysis, so that the functions of monitoring, quantifying and making a purchase plan cannot be completed.
Disclosure of Invention
The embodiment of the application aims to provide a purchasing management method and device and electronic equipment.
In a first aspect, an embodiment provides a procurement management method, including: acquiring the purchasing amount information of a purchasing target from a database; judging whether the purchase amount information is larger than a preset value or not; when the purchase amount information is judged to be larger than a preset value, acquiring supplier information; and generating a purchasing scheme based on the supplier information and the purchasing amount information.
In an alternative embodiment, the obtaining the purchasing amount information of the purchasing target from the database includes: acquiring the stock information and the estimated sales information of a purchase target from a database; and calculating and generating the purchasing amount information of the purchasing target based on the current inventory information and the estimated sales amount information of the purchasing target.
In an alternative embodiment, obtaining the estimated sales information of the procurement target comprises: acquiring historical sales information of a purchase target in a past preset time period from a database; based on historical sales information, generating a sales prediction model by using a machine learning algorithm; and generating the estimated sales information of the purchase target based on the sales prediction model and the time node of the purchase target.
In an alternative embodiment, the supplier information includes a combination of one or more of address information, price information, purchase transportation cost information, and credit information of a plurality of suppliers; generating a purchasing plan based on the supplier information and the purchasing amount information, including: generating a supplier information base based on the address information and the weight value thereof, the price information and the weight value thereof, the purchasing traffic fee information and the weight value thereof, and the credit information and the weight value thereof; and generating a purchasing scheme based on the purchasing amount information and the supplier information base.
In an alternative embodiment, the supplier information further includes available inventory information that the single supplier information owns the purchased goods, and price float information that the single supplier sells the purchased goods.
In a second aspect, an embodiment provides a procurement management apparatus, including: the information acquisition module is used for acquiring the purchasing amount information of the purchasing target from the database; the data judgment module is used for judging whether the purchase quantity information is larger than a preset value; the data set acquisition module is used for acquiring supplier information when judging that the purchase amount information is larger than a preset value; and the scheme generating module is used for generating a purchasing scheme based on the supplier information and the purchasing amount information.
In an alternative embodiment, the data acquisition module is configured to: acquiring the stock information and the estimated sales information of a purchase target from a database; and calculating and generating the purchasing amount information of the purchasing target based on the current inventory information and the estimated sales amount information of the purchasing target.
In an alternative embodiment, the data acquisition module is further configured to: acquiring historical sales information of a purchase target in a past preset time period from a database; based on historical sales information, generating a sales prediction model by using a machine learning algorithm; and generating the estimated sales information of the purchase target based on the sales prediction model and the time node of the purchase target.
In an alternative embodiment, the supplier information includes a combination of one or more of address information, price information, purchase transportation cost information, and credit information of a plurality of suppliers; the scheme generation module is to: generating a supplier information base based on the address information and the weight value thereof, the price information and the weight value thereof, the purchasing traffic fee information and the weight value thereof, and the credit information and the weight value thereof; and generating a purchasing scheme based on the purchasing amount information and the supplier information base.
In a third aspect, an embodiment provides an electronic device, including: a memory to store a computer program; a processor configured to perform the method of any of the preceding embodiments.
Drawings
In order to more clearly explain the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained based on these drawings without inventive efforts.
Fig. 1 is an electronic device according to an embodiment of the present disclosure;
fig. 2 is a schematic view of an interaction scenario between a terminal and a server according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a procurement management method according to an embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating another procurement management method according to an embodiment of the application;
FIG. 5 is a schematic flow chart illustrating another procurement management method according to an embodiment of the application;
fig. 6 is a schematic structural diagram of a procurement management apparatus according to an embodiment of the present application.
Icon: the system comprises electronic equipment 1, a bus 10, a processor 11, a memory 12, a server 100, a terminal 200, a purchase management device 600, a data acquisition module 601, a data judgment module 602, an information acquisition module 603 and a scheme generation module 604.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
As shown in fig. 1, the present embodiment provides an electronic apparatus 1 including: at least one processor 11 and a memory 12, one processor 11 being exemplified in fig. 1. The processor 11 and the memory 12 are connected by a bus 10, and the memory 12 stores instructions executable by the processor 11 and the instructions are executed by the processor 11. In an embodiment, the electronic device 1 may be a server or a terminal.
As shown in fig. 2, which is an interaction schematic scenario of the server 100 and the terminal 200 in this embodiment, the server 100 may be an information storage or processing server. The server 100 may obtain information such as inventory information, purchase amount information, and the like of the purchase target in the memory, autonomously monitor whether the current inventory of the purchase target needs to be purchased based on a preset judgment condition, obtain supplier information if the current inventory needs to be purchased, generate a purchase scheme based on the supplier information, and finally transmit the purchase scheme to the terminal 200.
In an embodiment, the terminal 200 may obtain information such as inventory information and purchase amount information of the purchase target in the memory from the server 100, autonomously monitor whether the current inventory of the purchase target needs to be purchased or not based on a preset judgment condition, and if so, obtain supplier information and generate a purchase scheme based on the supplier information.
Please refer to fig. 3, which is a purchasing management method according to this embodiment, the method may be executed by the electronic device shown in fig. 1 and used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 301: and acquiring the purchasing amount information of the purchasing target from the database.
In this step, the purchase amount information indicates the number of purchases required for the purchase target. The database can store various attributes and information of the purchasing target, such as the selling source information, the purchasing source information and the consumption source information of the purchasing target, and judges whether the purchasing target needs to be purchased or not by monitoring the selling source information, the purchasing source information, the consumption source information and other information of the purchasing target, and the purchasing amount information is acquired when the purchasing is needed, so that the timeliness and the accuracy of the purchasing target are controlled.
Step 302: and judging whether the purchase amount information is larger than a preset value or not.
In this step, the purchasing amount information of the purchasing target can reflect whether the stock quantity of the purchasing target at this time is enough, so that it is necessary to determine whether the purchasing amount information exceeds a preset value. In one embodiment, since the time is required for determining the quantity of the purchase targets, selecting the suppliers, logistics distribution and other processes, and waiting for the input of the input information of the purchase targets into the database, the inventory information of the purchase targets is synchronously reduced, a preset value is set for the purchase information in combination with actual needs, and when the purchase amount is greater than the preset value, the subsequent purchase step is executed.
Step 303: and when the purchase amount information is judged to be larger than the preset value, acquiring the supplier information.
In this step, the provider information may include evaluation information, service information, progress information, supply period, logistics price, and the like. When the information of the purchase amount is judged to be larger than the preset value, the purchase target needs to be purchased, and different suppliers can cause different purchase prices due to the difference of the information.
Step 304: and generating a purchasing scheme based on the supplier information and the purchasing amount information.
In this step, a purchase plan is generated for a plurality of factors affecting the final price, such as the purchase amount information of the purchase target, and the evaluation information, the service information, the progress information, the supply period, the logistics price, and the like of the provider information.
Please refer to fig. 4, which is a purchasing management method provided in this embodiment, the method may be executed by the electronic device 1 shown in fig. 1 and used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 401: and acquiring the stock information and the estimated sales information of the purchase target from the database.
In this step, the purchase amount information may be directly calculated from the difference between the estimated sales amount information and the stock amount information, or may be input from an external device.
Step 402: and calculating and generating the purchasing amount information of the purchasing target based on the current inventory information and the estimated sales amount information of the purchasing target.
In the step, as the time is needed for determining the quantity of the purchasing targets, selecting suppliers, logistics distribution and other processes, and waiting for the input of the input information of the purchasing targets into the database, the stock information of the purchasing targets is synchronously reduced, a preset value is set for the purchasing information in combination with actual needs, and when the purchasing quantity is greater than the preset value, the subsequent purchasing step is executed.
Step 403: and judging whether the purchase amount information is larger than a preset value or not. Please refer to the above embodiments for the description of step 302.
Step 404: and when the purchase amount information is judged to be larger than the preset value, acquiring the supplier information. Please refer to the above embodiments for the description of step 303.
Step 405: and generating a supplier information base based on the address information and the weight value thereof, the price information and the weight value thereof, the purchasing traffic fee information and the weight value thereof, and the credit information and the weight value thereof.
In this step, the suppliers are multiple suppliers, and the supplier information may further include address information, price information, purchase transportation fee information, and credit information. Different weight values are given based on the types of the supplier information so as to adjust the degree of consideration of each information in the purchasing scheme generation process. The vendor information is integrated into a vendor information base for the server 100 to model information based on the vendor information base.
In one embodiment, the address information represents a distance between the supplier and the user address, the purchase traffic charge information represents a transportation charge per unit distance for transporting the purchase target per unit weight, and the price information represents a unit price for selling the purchase target by the supplier. Price information is the most important consideration in the whole purchasing process, so the weight of the price information is higher than that of other information. The credit information represents evaluation scores of the supplier such as quality of material, damage rate, and shipping rate, and may be acquired directly from the supplier platform, or the latest evaluation score may be generated based on the scores accumulated in the database over the years.
Step 406: and generating a purchasing scheme based on the purchasing amount information and the supplier information base.
In this step, a purchase plan may be generated based on the purchase amount information and the supplier information base by optimizing the following algorithm using dynamic programming, the algorithm being as follows:
Figure BDA0002355335320000071
s.t.Qij＝Qi×Uj
Figure BDA0002355335320000072
Pj∈PjR
wherein, PjIs the price of the jth raw material，QjQuantity to be purchased for jth raw material, FkFor the price of the purchase to the kth supplier, R is the selected set of suppliers, QijThe requirement of the jth raw material for the ith dish, QiFor the predicted sales of the ith dish, UjThe unit i dish requirement, QsjStock quantity of jth raw material, PjRThe prices for raw material j are aggregated for all suppliers.
In an embodiment, a supplier evaluation model may be established based on a supplier information base, the purchase amount information of the purchase target is substituted into the supplier evaluation model, and the purchase scheme is generated through multiple methods such as unitary linear regression model prediction, discretization model prediction or combined prediction.
In one embodiment, the supplier information further includes information on available inventory of the purchased products owned by the single supplier information and price fluctuation information of the purchased products sold by the single supplier information.
Please refer to fig. 5, which is a purchasing management method provided in this embodiment, the method may be executed by the electronic device 1 shown in fig. 1 and used in the interaction scenario shown in fig. 2, and the method includes the following steps:
step 501: and acquiring historical sales information of the purchase target in a past preset time period from the database.
In this step, the historical sales information may be used to build a predictive model. For example, obtaining the total sales of the procurement targets in the second quarter of the last year can be used to calculate the total sales of the procurement targets in the second quarter of the present year.
Step 502: and generating a sales forecasting model by utilizing a machine learning algorithm based on the historical sales information.
In this step, the sales prediction model may adopt a multiple linear regression model, a G (1, N) gray model, a BP neural network, an AHP algorithm, and the like, for predicting the sales of the purchase target.
Step 503: and generating the estimated sales information of the purchase target based on the sales prediction model and the time node of the purchase target.
In one embodiment, the estimated sales information of the purchasing target at the time node can be obtained by substituting the purchasing time node of the purchasing target into the sales prediction model.
Step 504: and judging whether the purchase amount information is larger than a preset value or not. Please refer to the above embodiments for the description of step 302.
Step 505: and when the purchase amount information is judged to be larger than the preset value, acquiring the supplier information. Please refer to the above embodiments for the description of step 303.
Step 506: and generating a purchasing scheme based on the supplier information and the purchasing amount information. Please refer to the above embodiment for the description of step 304.
Please refer to fig. 6, which is a purchasing management apparatus 600 provided in this embodiment, the purchasing management apparatus 600 may be applied to the electronic device 1 shown in fig. 1, so that the server 100 may obtain information such as inventory information and purchasing amount information of a purchasing target in a memory, autonomously monitor whether purchasing is needed for the current inventory of the purchasing target based on a preset determination condition, obtain supplier information if purchasing is needed, generate a purchasing scheme based on the supplier information, and finally send the purchasing scheme to the terminal 200.
In an embodiment, the purchasing management device 600 may further enable the terminal 200 to obtain information of the stock quantity information, the purchasing amount information, and the like of the purchasing target in the memory from the server 100, autonomously monitor whether the current stock of the purchasing target needs to be purchased based on a preset judgment condition, obtain the supplier information if the current stock needs to be purchased, and generate the purchasing scheme based on the supplier information.
The purchase management apparatus 600 includes: a data acquisition module 601, a data judgment module 602, an information acquisition module 603, and a scheme generation module 604. The principle relationship of the modules is as follows:
the data obtaining module 601 is configured to obtain the purchasing amount information of the purchasing target from the database.
And the data judgment module 602 is configured to judge whether the purchase amount information is greater than a preset value.
The information obtaining module 603 is configured to obtain the supplier information when it is determined that the purchase amount information is greater than the preset value.
And a plan generating module 604 for generating a purchasing plan based on the supplier information and the purchasing amount information.
In one embodiment, the data acquisition module 601 is configured to: acquiring the stock information and the estimated sales information of a purchase target from a database; and calculating and generating the purchasing amount information of the purchasing target based on the current inventory information and the estimated sales amount information of the purchasing target. Please refer to the description of steps 401-402 in the above embodiment.
In an embodiment, the data obtaining module 601 is further configured to: acquiring historical sales information of a purchase target in a past preset time period from a database; based on historical sales information, generating a sales prediction model by using a machine learning algorithm; and generating the estimated sales information of the purchase target based on the sales prediction model and the time node of the purchase target. Please refer to the description of steps 501-503 in the above embodiments.
In one embodiment, the supplier information includes one or more of address information, price information, purchase transportation charge information, and credit information of a plurality of suppliers. The scenario generation module 604 is configured to: generating a supplier information base based on the address information and the weight value thereof, the price information and the weight value thereof, the purchasing traffic fee information and the weight value thereof, and the credit information and the weight value thereof; and generating a purchasing scheme based on the purchasing amount information and the supplier information base. Please refer to the description of steps 405-407 in the above embodiment.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A method for procurement management, comprising:
acquiring the purchasing amount information of a purchasing target from a database;
judging whether the purchase amount information is larger than a preset value or not;
when the purchase amount information is judged to be larger than the preset value, acquiring supplier information from the database;
and generating a purchasing scheme based on the supplier information and the purchasing amount information.
2. The method of claim 1, wherein obtaining the procurement quantity information of the procurement targets from the database comprises:
acquiring the stock information and the estimated sales information of the purchase target from the database;
and calculating and generating the purchasing amount information of the purchasing target based on the current inventory information and the estimated sales amount information of the purchasing target.
3. The method of claim 2, wherein obtaining the forecast sales information for the procurement objective comprises:
acquiring historical sales information of the purchase target in a past preset time period from the database;
generating a sales prediction model by machine learning based on the historical sales information;
and generating the estimated sales information of the purchasing target based on the sales prediction model and the time node of purchasing the purchasing target.
4. The method of claim 3, wherein the supplier information comprises a combination of one or more of address information, price information, purchase transportation cost information, and credit information of a plurality of suppliers; generating a procurement plan based on the supplier information and the procurement amount information, including:
generating a supplier information base based on the address information and the weight value thereof, the price information and the weight value thereof, the purchasing traffic charge information and the weight value thereof, and the credit information and the weight value thereof;
generating the purchasing plan based on the purchasing amount information and the supplier information base.
5. The method of claim 3, wherein the supplier information further comprises available inventory information for a single supplier information owning the purchase target, and price float information for the single supplier selling the purchase target.
6. A procurement management apparatus characterized by comprising:
the data acquisition module is used for acquiring the purchasing amount information of the purchasing target from the database;
the data judgment module is used for judging whether the purchase amount information is larger than a preset value or not;
the information acquisition module is used for acquiring supplier information when judging that the purchase amount information is larger than the preset value;
and the scheme generating module is used for generating a purchasing scheme based on the supplier information and the purchasing amount information.
7. The apparatus of claim 6, wherein the data acquisition module is configured to:
acquiring the stock information and the estimated sales information of the purchase target from the database;
and calculating and generating the purchasing amount information of the purchasing target based on the current inventory information and the estimated sales amount information of the purchasing target.
8. The apparatus of claim 7, wherein the data acquisition module is further configured to:
acquiring historical sales information of the purchase target in a past preset time period from the database;
generating a sales prediction model by machine learning based on the historical sales information;
and generating the estimated sales information of the purchasing target based on the sales prediction model and the time node of purchasing the purchasing target.
9. The apparatus of claim 8, wherein the supplier information comprises a combination of one or more of address information, price information, purchase transportation cost information, and credit information of a plurality of suppliers; the scenario generation module is configured to:
generating a supplier information base based on the address information and the weight value thereof, the price information and the weight value thereof, the purchasing traffic charge information and the weight value thereof, and the credit information and the weight value thereof;
generating the purchasing plan based on the purchasing amount information and the supplier information base.
10. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 5.
CN202010009099.7A 2020-01-03 2020-01-03 Purchasing management method and device and electronic equipment Pending CN111242532A (en)

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