CN117829738A - Commodity purchasing method, system, terminal and storage medium based on supplier information - Google Patents

Commodity purchasing method, system, terminal and storage medium based on supplier information Download PDF

Info

Publication number
CN117829738A
CN117829738A CN202410089235.6A CN202410089235A CN117829738A CN 117829738 A CN117829738 A CN 117829738A CN 202410089235 A CN202410089235 A CN 202410089235A CN 117829738 A CN117829738 A CN 117829738A
Authority
CN
China
Prior art keywords
commodity
suppliers
purchasing
supplier
commodities
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
CN202410089235.6A
Other languages
Chinese (zh)
Inventor
葛同民
李林阳
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 Xinfadi Agricultural Products Network Distribution Center Co ltd
Original Assignee
Beijing Xinfadi Agricultural Products Network Distribution Center 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 Xinfadi Agricultural Products Network Distribution Center Co ltd filed Critical Beijing Xinfadi Agricultural Products Network Distribution Center Co ltd
Priority to CN202410089235.6A priority Critical patent/CN117829738A/en
Publication of CN117829738A publication Critical patent/CN117829738A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0605Supply or demand aggregation

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Educational Administration (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a commodity purchasing method, a system, a terminal and a storage medium based on supplier information, and relates to the technical field of task allocation, wherein the method comprises the following steps: acquiring user order information, commodity qualification rate of suppliers, commodity supply and commodity type; according to the commodity qualification rate of the suppliers, grading the commodity of each supplier to obtain commodity grade; and according to the user order information, the commodity grade and the commodity supply of the suppliers, issuing a purchasing task for the buyer based on a preset task allocation model. The method and the device have the effect of automatically generating the purchasing task for the purchasing management platform according to the information of the suppliers.

Description

Commodity purchasing method, system, terminal and storage medium based on supplier information
Technical Field
The present disclosure relates to the field of task allocation technologies, and in particular, to a method, a system, a terminal, and a storage medium for purchasing goods based on vendor information.
Background
Shopping on internet is a brand new business model, popular life is gradually achieved, and market innovation development states are led. In the prior art, a purchase management platform generally adopts an order mode, all existing commodities are displayed in the purchase management platform, then the purchase platform collects the current-day order information of the user, and finally the user is distributed after unified purchase is carried out.
The purchase management platform often needs to purchase various commodities in the order, the types, the quantity and the quality of the commodities which can be provided by the suppliers are different, the purchase management platform needs to evaluate and select the suppliers, the extra time cost of the purchase management platform is increased, and the price of the commodity is a relatively fixed value because the commodity information in the order is determined. However, even if the price difference of different suppliers for the same commodity is not large, the quality difference may also have a large difference, and the purchasing management platform is required to purchase high-quality commodity at this time, so as to improve the user satisfaction degree of the purchasing management platform. Therefore, how the purchase management platform selects suppliers to purchase goods in order mode is an urgent problem to be solved.
Disclosure of Invention
In order to solve the problem of how to select commodity purchasing of an overall order under the condition that commodity prices of suppliers are similar but quality is different, the application provides a commodity purchasing method, a system, a terminal and a storage medium based on supplier information.
In a first aspect of the present application, there is provided a commodity purchasing method based on vendor information, including:
acquiring user order information, commodity qualification rate of suppliers, commodity supply and commodity type;
according to the commodity qualification rate of the suppliers, grading the commodity of each supplier to obtain commodity grade;
and according to the user order information, the commodity grade and the commodity supply of the suppliers, issuing a purchasing task for the buyer based on a preset task allocation model.
By adopting the technical scheme, the user order information and the commodity information of the suppliers are acquired firstly, then the commodities of the suppliers are rated according to the commodity qualification rate, the commodity grade of each supplier is obtained in a rating mode, and then commodity purchasing tasks are generated according to the user order information and the commodity grade. Therefore, purchasing of the user order is achieved, and meanwhile commodity quality can be ensured according to commodity grade.
In one possible implementation, the grading the commodity of each provider according to the commodity qualification rate of the provider, to obtain a commodity grade, includes:
the commodities with the same commodity category are ranked in a descending order according to the commodity qualification rate, and a qualification ranking list of each commodity category is obtained;
and grading the commodities in the good ranking list according to a preset proportion to obtain commodity grades of each commodity of the suppliers.
In one possible implementation manner, according to the user order information, the commodity grade and the supply quantity of the supplier, a purchasing task is issued to a buyer based on a preset task allocation model, including:
determining the commodity type and the corresponding purchase quantity of the commodity to be purchased according to the user order information;
screening suppliers meeting the primary screening conditions based on the primary screening conditions of the task distribution model according to the types and the purchase quantity of the commodities to be purchased and the supply quantity of the commodities corresponding to each supplier;
and generating purchasing tasks based on the rescreening conditions of the task allocation model according to the commodity grade and the suppliers meeting the prescreening conditions.
In one possible implementation manner, according to the commodity type to be purchased, the number of purchases, and the supply of the commodity type corresponding to each supplier, screening suppliers meeting the primary screening condition based on the primary screening condition of the task allocation model includes:
judging the purchase quantity of each commodity type and the supply quantity of each supplier according to the purchase quantity and the supply quantity;
and when the purchase quantity is smaller than or equal to the supply quantity of any supplier, screening suppliers with the supply quantity larger than the purchase quantity corresponding to the commodity types, and recording the suppliers with each commodity type for selection.
In one possible implementation manner, generating a purchasing task based on the rescreening condition of the task allocation model according to the commodity grade and the supplier meeting the prescreening condition includes:
the conversion coefficient corresponding to each commodity type is called, and the conversion coefficient is a calculation parameter for balancing commodities with different metering units;
according to the purchase quantity, the commodity type, the conversion coefficient and the commodity grade, calculating the score of each supplier meeting the primary screening condition on the commodity which can be supplied;
and determining the suppliers for purchasing the commodities according to the scores of the suppliers on the commodities which can be supplied and the preset number of the selected names.
In one possible implementation manner, determining the provider of the purchased commodity according to the score of the provider on the available commodity and the preset number of selected names includes:
calculating scheme scores of alternative schemes meeting the demands of the user orders under the limitation of the selected nominated quota;
and selecting the purchasing scheme with the highest scheme score from the selectable schemes, and distributing the suppliers, the commodity types to be purchased and the purchasing quantity required to go to for the purchasing member.
In one possible implementation, according to the scores of the suppliers on the available commodities, calculating the scheme scores of the alternatives meeting the demands of the user orders under the limitation of the selected name unit respectively, wherein the method comprises the following steps:
generating a plurality of alternative schemes according to the selected names and the available commodities of the suppliers;
and calculating the scheme score of each alternative scheme according to the score of the suppliers to the available commodities.
In a second aspect of the present application, there is provided a commodity purchasing system based on vendor information, comprising:
the acquisition module is used for acquiring user order information, commodity qualification rate of suppliers, commodity supply and commodity type;
the grading module is used for grading the commodity of each provider according to the commodity qualification rate of the provider to obtain commodity grade;
and the distribution module is used for distributing a purchasing task to a purchasing member based on a preset task distribution model according to the user order information, the commodity grade and the commodity supply of the supplier.
In a third aspect of the present application, a terminal is provided, which has a feature of realizing commodity purchase based on vendor information.
The third object of the present application is achieved by the following technical solutions:
a terminal comprising a memory and a processor, said memory having stored thereon a computer program capable of being loaded by the processor and executing the above-described commodity purchasing method based on vendor information.
In a fourth aspect of the present application, a computer storage medium is provided, capable of storing a corresponding program, having features that facilitate commodity purchase based on vendor information.
The fourth object of the present application is achieved by the following technical solutions:
a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the above commodity purchasing methods based on vendor information.
In summary, the present application includes the following beneficial technical effects: firstly, acquiring user order information and commodity information of suppliers, then grading commodities of the suppliers according to commodity qualification rates, obtaining commodity grades of each supplier in a grading mode, and then generating commodity purchasing tasks according to the user order information and the commodity grades. Therefore, purchasing of the user order is achieved, and meanwhile commodity quality can be ensured according to commodity grade.
Drawings
Fig. 1 is a flow chart of a commodity purchasing method based on vendor information according to an embodiment of the present application.
FIG. 2 is a schematic diagram of a commodity procurement system based on vendor information according to an embodiment of the application.
Fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Reference numerals illustrate: 201. an acquisition module; 202. a scoring module; 203. a distribution module; 301. a CPU; 302. a ROM; 303. a RAM; 304. a bus; 305. an I/O interface; 306. an input section; 307. an output section; 308. a storage section; 309. a communication section; 310. a driver; 311. removable media.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The present application is described in further detail below in conjunction with figures 1 through 3.
In order to automatically generate a purchasing task for a purchasing management platform according to supplier information, the application provides a commodity purchasing method based on the supplier information.
Referring to fig. 1, a commodity purchasing method based on supplier information includes the steps of:
s101: user order information, commodity qualification rate of suppliers, commodity supply and commodity kind are obtained.
The purchase management platform collects user order information of a user in one day, wherein the user order information comprises the types of the commodities to be purchased and the purchase quantity of the corresponding commodity types. The commodity kind, the supply amount and the commodity qualification rate of each commodity are obtained for each supplier. And then, according to the commodity type in the order information of the user, the good rating and the commodity supply of each supplier for the commodity type are called.
The types of goods supplied are different from one vendor to another, and the number of goods supplied is also different. For example, suppliers focusing on fresh goods may supply large amounts of fresh goods, which may not be relevant for electric goods. For another example, suppliers with all goods, each of the goods is supplied more evenly than the other suppliers. When a user places an order, the good scores of different suppliers should be the same for the commodities of a certain brand, and for the basic commodities such as fresh, rice and flour, the commodity types are usually only, and the commodity types are not specific to the corresponding brands. For example, fresh beef is only limited in the type of beef commodity. For this type of merchandise, therefore, the choice of suppliers is important, and there may be a large difference in quality of the merchandise due to different sources of the merchandise. Therefore, further screening of the commodities is required according to the good score of the commodities, so as to improve the user satisfaction of the purchase management platform.
S102: and grading the commodity of each provider according to the commodity qualification rate of the provider to obtain commodity grade.
In evaluating the quality of a commodity, the quality of the commodity can be distinguished only by feedback of the user to the commodity. The higher the acceptance rate of a commodity, the better the quality of the commodity type representing the corresponding supplier. Therefore, the commodities with the same commodity category are ranked in a descending order according to the commodity qualification rate, and the qualification ranking table of each commodity category is obtained. And grading the commodities in the good ranking list according to a preset proportion to obtain commodity grades of each commodity of the suppliers. In the embodiment of the present application, the preset proportion may be that the commodities are divided according to a preset proportion of the good score, for example, the good score is more than 95% and is first-order, 90% -95% is second-order, and so on. The division may also be based on the total number of suppliers for the same type of merchandise, such as dividing the top 10% of the items into one level, and so on.
S103: and issuing a purchasing task for a buyer based on a preset task allocation model according to the user order information, the commodity grade and the commodity supply of the supplier.
When purchasing task allocation is carried out, whether the supply of each supplier of the commodity to be purchased meets the order requirement or not is considered first. In order to ensure user experience and improve purchasing efficiency, when purchasing one commodity, purchasing is performed on the same supplier, so that the same quality of the commodities of the same commodity type can be ensured as much as possible. And meanwhile, the purchasing personnel can conveniently purchase the product. Therefore, firstly, according to the order information of the user, the category to be purchased and the corresponding purchase quantity of the commodity are determined. And screening suppliers meeting the primary screening conditions based on the primary screening conditions of the task distribution model according to the types of the commodities to be purchased, the number of the purchased and the supply quantity of the commodity types corresponding to each supplier. Wherein, the primary screening condition is a screening means for ensuring the supply quantity, and specifically comprises: and judging the purchase quantity of each commodity type and the supply quantity of each supplier according to the purchase quantity and the supply quantity. When the purchase quantity is smaller than or equal to the supply quantity of any supplier, the suppliers with the supply quantity larger than the purchase quantity corresponding to the commodity types are screened, and the suppliers with the supply quantity larger than the purchase quantity can be selected for each commodity type. When the purchase quantity is larger than the supply quantity of any supplier, the joint supply of multiple suppliers is considered.
When only the condition that the purchase quantity is smaller than or equal to the supply quantity of any supplier is considered, further, according to the commodity grade and the supplier meeting the primary screening condition, the purchase task is generated based on the rescreening condition of the task allocation model. The rescreening condition comprises a preset selected name limit and a commodity total score under the preset selected name limit. Generating a procurement task based on the rescreening condition of the task allocation model, including: and retrieving a conversion coefficient corresponding to each commodity type, wherein the conversion coefficient is a calculation parameter for balancing commodities with different metering units. And respectively calculating the scores of the suppliers meeting the primary screening conditions on the available commodities according to the purchase quantity, the commodity types, the conversion coefficient and the commodity grade. And then determining the suppliers for purchasing the commodities according to the total scores of the suppliers on the suppliers and the preset selected scores. The conversion coefficient is used to calculate the commodities of different measuring units at the same time, for example, fresh commodities are usually used as measuring units in kilograms, and commodities such as drinks are usually used as measuring units in bottles. And then under the condition of re-screening, determining the suppliers for purchasing the commodities according to the scores of the suppliers on the commodities which can be supplied and the preset number of selected names.
In the step of determining suppliers, the purpose of calculating the scores of suppliers on available commodities is that the preset selection names are fixed under the condition of limited buyers, and the suppliers with highest commodity qualification rate cannot be selected for each commodity. The method can select from a limited number of suppliers, so that the purchasing task is completed, and the best commodity quality is obtained on the premise of completing the purchasing task. Therefore, in the link of determining suppliers, the score of each supplier on the commodity which can be supplied is calculated, then under the limitation of selecting the name, the user order information is split, the preset name is taken as the maximum value of the suppliers, then the purchasing scheme capable of meeting the user order information is generated, and then the scheme score of each purchasing scheme is calculated according to the score of the supplier on the commodity which can be supplied. Under the calculation mode, the purchasing quantity of the commodity is considered, and the optimal result of commodity quality in the order information of the user under the limited selected name is obtained.
The application provides a commodity purchasing system based on supplier information, which adopts the following technical scheme:
referring to fig. 2, a commodity purchasing system based on supplier information includes:
the acquiring module 201 is configured to acquire user order information, a commodity qualification rate of a provider, a supply amount, and a commodity category.
The scoring module 202 is configured to rank the commodity of each provider according to the commodity qualification rate of the provider, so as to obtain a commodity grade.
The distribution module 203 is configured to issue a purchasing task to a buyer based on a preset task distribution model according to the user order information, the commodity grade and the supply of the supplier.
Fig. 3 shows a schematic structural diagram of a terminal suitable for implementing embodiments of the present application.
As shown in fig. 3, the terminal includes a central processing unit (Central Processing Unit, CPU) 301 that can perform various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) 302 or a program loaded from a storage section into a random access Memory (Random Access Memory, RAM) 303. In the RAM 303, various programs and data required for the system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other through a bus 304. An Input/Output (I/O) interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input section 306 including a keyboard, a mouse, and the like; an output portion 307 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 308 including a hard disk or the like; and a communication section 309 including a network interface card such as a LAN card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. The drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 310 as needed, so that a computer program read out therefrom is installed into the storage section 308 as needed.
In particular, according to embodiments of the present application, the process described above with reference to fig. 1 may be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 309, and/or installed from the removable medium 311. The above-described functions defined in the system of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 301.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (EPROM or flash Memory), an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, register File (RF), etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams 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.
The units or modules involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware. The described units or modules may also be provided in a processor.
As another aspect, the present application also provides a computer-readable storage medium, which may be included in the terminal described in the above embodiment; or may exist alone without being fitted into the terminal. The computer-readable storage medium stores one or more programs that when used by one or more processors perform the commodity purchasing method based on vendor information describing the present application.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the disclosure. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.

Claims (10)

1. A commodity purchasing method based on supplier information, comprising:
acquiring user order information, commodity qualification rate of suppliers, commodity supply and commodity type;
according to the commodity qualification rate of the suppliers, grading the commodity of each supplier to obtain commodity grade;
and according to the user order information, the commodity grade and the commodity supply of the suppliers, issuing a purchasing task for the buyer based on a preset task allocation model.
2. The commodity purchasing method based on the supplier information according to claim 1, wherein the commodity rating for each supplier according to the commodity qualification rate of the supplier, comprises:
the commodities with the same commodity category are ranked in a descending order according to the commodity qualification rate, and a qualification ranking list of each commodity category is obtained;
and grading the commodities in the good ranking list according to a preset proportion to obtain commodity grades of each commodity of the suppliers.
3. The commodity purchasing method based on supplier information according to claim 2, wherein issuing a purchasing task for a buyer based on a preset task allocation model according to the user order information, commodity grade of a supplier and supply amount comprises:
determining the commodity type of the commodity to be purchased and the purchase quantity of the corresponding commodity type according to the user order information;
screening suppliers meeting the primary screening conditions based on the primary screening conditions of the task distribution model according to the types and the purchase quantity of the commodities to be purchased and the supply quantity of the commodities corresponding to each supplier;
and generating purchasing tasks based on the rescreening conditions of the task allocation model according to the commodity grade and the suppliers meeting the prescreening conditions.
4. The commodity purchasing method based on supplier information according to claim 3, wherein the screening of suppliers meeting the preliminary screening conditions based on the preliminary screening conditions of the task allocation model according to the commodity type to be purchased, the purchase quantity and the supply quantity of the commodity type corresponding to each supplier comprises:
judging the purchase quantity of each commodity type and the supply quantity of each supplier according to the purchase quantity and the supply quantity;
and when the purchase quantity is smaller than or equal to the supply quantity of any supplier, screening suppliers with the supply quantity larger than the purchase quantity corresponding to the commodity types, and recording the suppliers with each commodity type for selection.
5. The commodity purchasing method based on provider information according to claim 4, wherein generating a purchasing task based on the commodity grade and the provider meeting the prescreening condition based on the rescreening condition of the task allocation model includes:
the conversion coefficient corresponding to each commodity type is called, and the conversion coefficient is a calculation parameter for balancing commodities with different metering units;
according to the purchase quantity, the commodity type, the conversion coefficient and the commodity grade, calculating the score of each supplier meeting the primary screening condition on the commodity which can be supplied;
and determining the suppliers for purchasing the commodities according to the scores of the suppliers on the commodities which can be supplied and the preset number of the selected names.
6. The commodity purchasing method based on vendor information according to claim 1, wherein determining the vendor of the purchased commodity according to the score of the vendor for the commodity and the preset number of selected names, comprises:
calculating scheme scores of alternative schemes meeting the demands of the user orders under the limitation of the selected name unit according to the scores of the suppliers on the available commodities;
and selecting the purchasing scheme with the highest scheme score from the selectable schemes, and distributing the suppliers, the commodity types to be purchased and the purchasing quantity required to go to for the purchasing member.
7. The commodity purchasing method based on vendor information according to claim 6, wherein according to the scores of the suppliers for the available commodity, calculating the scheme scores of the alternatives satisfying the user's order requirements under the limitation of the selected name unit, respectively, comprises:
generating a plurality of alternative schemes according to the selected names and the available commodities of the suppliers;
and calculating the scheme score of each alternative scheme according to the score of the suppliers to the available commodities.
8. A commodity purchasing system based on vendor information, comprising:
an acquisition module (201) for acquiring user order information, commodity qualification rate of a provider, supply amount and commodity category;
the grading module (202) is used for grading the commodity of each provider according to the commodity qualification rate of the provider to obtain commodity grade;
and the distribution module (203) is used for distributing purchasing tasks to the purchasing personnel based on a preset task distribution model according to the user order information, the commodity grade and the commodity supply of the suppliers.
9. A terminal comprising a memory and a processor, the memory having stored thereon a computer program, characterized in that the processor, when executing the program, implements the method according to any of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any one of claims 1 to 7.
CN202410089235.6A 2024-01-23 2024-01-23 Commodity purchasing method, system, terminal and storage medium based on supplier information Pending CN117829738A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410089235.6A CN117829738A (en) 2024-01-23 2024-01-23 Commodity purchasing method, system, terminal and storage medium based on supplier information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410089235.6A CN117829738A (en) 2024-01-23 2024-01-23 Commodity purchasing method, system, terminal and storage medium based on supplier information

Publications (1)

Publication Number Publication Date
CN117829738A true CN117829738A (en) 2024-04-05

Family

ID=90506386

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410089235.6A Pending CN117829738A (en) 2024-01-23 2024-01-23 Commodity purchasing method, system, terminal and storage medium based on supplier information

Country Status (1)

Country Link
CN (1) CN117829738A (en)

Similar Documents

Publication Publication Date Title
US7467103B1 (en) Optimization system and method for buying clubs
US10181138B2 (en) System and method for determining retail-business-rule coefficients from current prices
JP2001154722A (en) Production planning system
US20030028473A1 (en) Distributed method for bid evaluation in procurement auctions with piece-wise linear supply curves
AU2009281728A1 (en) Automated decision support for pricing entertainment tickets
CN114782024A (en) Material purchasing plan generation method and device
WO2022247741A1 (en) Commodity object price information processing method and apparatus, and electronic device
CN112950311A (en) Electronic commerce enterprise purchasing solution method and device
US20070219836A1 (en) Shipping planning system
JP2013045264A (en) Cloud marketplace system
CN112950320A (en) Automatic commodity online and offline method and device based on machine self-learning and electronic equipment
CN113763125A (en) Method and device for generating purchase order about purchased goods
CN111914202B (en) Multi-platform intelligent automatic publishing method, device, system and terminal
CN112967106A (en) Quotation method, quotation server and system of hygienic products
WO2001016818A1 (en) System for collecting commodity specifications and related customer information
CN109961161B (en) Commodity management method, system, electronic device and computer readable medium
CN117829738A (en) Commodity purchasing method, system, terminal and storage medium based on supplier information
CN115983770A (en) Product part purchasing method and device, electronic equipment and storage medium
Lam et al. Key factors influencing customer satisfaction and intention to reuse food ordering apps
CN110163642A (en) Commodity appraisal procedure and device
CN114493705A (en) Product sales influencing factor monitoring system oriented to full life cycle
CN110858337A (en) Method and device for generating configuration information
US20110125554A1 (en) System and method for implementing a dynamic market
US20090177521A1 (en) Market demand estimation method, system and apparatus
CN115936821A (en) Commodity display method and device

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