CN115619239A - Intelligent bidding method and device and computer readable medium - Google Patents

Intelligent bidding method and device and computer readable medium Download PDF

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CN115619239A
CN115619239A CN202110789740.8A CN202110789740A CN115619239A CN 115619239 A CN115619239 A CN 115619239A CN 202110789740 A CN202110789740 A CN 202110789740A CN 115619239 A CN115619239 A CN 115619239A
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suppliers
parameter
meeting
supplier
acquiring
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王亚东
林茂华
高睿
苏能武
阮琳琳
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Zhuhai Caizhu eComerce Co Ltd
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Abstract

The embodiment of the application discloses an intelligent bidding method, an intelligent bidding device and a computer readable medium, wherein the method comprises the steps of acquiring suppliers matched with user requirements from a database based on the user requirements; screening out suppliers meeting the parameter standard from suppliers matched with the user requirement based on a preset parameter standard; and acquiring relevant data of the suppliers meeting the parameter standard, evaluating the suppliers meeting the parameter standard, and determining target suppliers. Through the embodiment of the application, intelligent bidding can be realized, suppliers in the database are analyzed objectively and intelligently, target suppliers are determined from the suppliers, and compared with manual bidding, the intelligent bidding has higher working efficiency and more thorough and objective analysis on the target suppliers.

Description

Intelligent bidding method and device and computer readable medium
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to an intelligent bidding method, an intelligent bidding device, and a computer readable medium.
Background
Bidding and tendering are a transaction mode adopted when large goods are bought and sold under market economic conditions, engineering construction projects are contracted and contracted, and service projects are purchased and provided. In such a transaction, a buyer who purchases a project (including purchase of goods, issuance of works, and purchase of services) is generally used as a tenderer, and information on tendering purchase is issued by issuing a tender announcement or inviting a certain number of specific suppliers or contractors to tender, and the tenderer intentionally provides quotes for purchasing goods, works, or services and other conditions in response to tender requests, participates in a competitive bidding, and selects a winner from the quotes and other conditions of each bidder by checking and comparing them with each other, and signs a purchase contract with the winner.
In the prior art, the tender is tendered manually, the suppliers are evaluated manually in the tender tendering process, the evaluation process is very slow, and meanwhile, subjective colors are always carried during manual evaluation, so that the evaluation is inaccurate, and the cooperation risk is increased.
Disclosure of Invention
The application provides an intelligent bidding method, an intelligent bidding device and a computer readable medium, and aims to intelligently execute each process of bidding, avoid the need of artificially screening target suppliers, achieve higher screening efficiency and achieve more objective and fair screening results.
In a first aspect, an embodiment of the present application provides an intelligent bidding method, which includes the following steps:
acquiring suppliers matched with user demands from a database based on the user demands;
screening out suppliers meeting the parameter standard from suppliers matched with the user requirement based on a preset parameter standard;
and acquiring relevant data of the suppliers meeting the parameter standard, evaluating the suppliers meeting the parameter standard, and determining target suppliers.
According to the first aspect, in a possible implementation manner, the obtaining, from the database, the supplier matching the user requirement includes:
acquiring the operation range of each supplier in a database;
and screening out suppliers with the operation ranges matched with the user requirements.
In a possible implementation form, the supplier has parameter information associated with parameter criteria, and the screening out suppliers matching the user requirement and meeting the parameter criteria comprises the following steps:
acquiring parameter information of each supplier matched with the user requirements;
and respectively comparing the parameter information of each supplier matched with the user requirement with the parameter standard so as to screen out the suppliers meeting the parameter standard.
According to the first aspect, in one possible implementation, the parameter criterion is at least one of: registering a fund standard, a desired supply amount;
the parameter criteria includes a desired supply amount;
the expected supply quantity is obtained by evaluation, and the method specifically comprises the following steps:
acquiring a plurality of historical trading volume per unit time of suppliers matched with the user demands;
and estimating the expected supply quantity of the suppliers matched with the user demands at the preset tendering delivery time based on the trend of the volume of the plurality of units of time.
In a possible implementation manner, the evaluating the suppliers meeting the parameter criteria according to the first aspect includes:
analyzing the relevant data of the suppliers meeting the parameter standard to generate an evaluation report;
determining a target supplier based on the evaluation report of each supplier.
In a possible implementation manner, the analyzing the relevant data of the suppliers meeting the parameter standard includes the following steps:
acquiring the quotation of the product corresponding to the user requirement of the supplier meeting the parameter standard;
querying a manufacturing plant of the product through a skynet to determine a quality level of the product;
determining a product quality score based on the offer for the product, the quality level of the product;
acquiring interest events related to the suppliers meeting the parameter standards within a preset time, wherein the interest events related to the suppliers meeting the parameter standards within the preset time comprise the interest events of the suppliers meeting the parameter standards and the interest events of main partners of the suppliers meeting the parameter standards;
determining a risk score for the supplier meeting the parameter criteria based on the supplier-related adverse events meeting the parameter criteria within a preset time;
determining an assessment score for the vendor meeting the parameter criteria based on the product quality score, the risk score for the vendor meeting the parameter criteria;
and determining a target supplier according to the evaluation score.
According to the first aspect, in a possible implementation manner, the determining the evaluation score of the supplier meeting the parameter criteria further includes:
acquiring whether the supplier and the user which accord with the parameter standard have a bidirectional supply-demand relationship;
if yes, adding a preset score to the evaluation scores of the suppliers meeting the parameter standard.
In a possible implementation manner, the querying a manufacturing plant of the product through a skynet to determine the quality level of the product includes:
acquiring at least one item of information of company scale information, production capacity information, testing capacity information, research and development capacity information and business cooperation information of a manufacturing plant of the product through a skynet, and determining a comprehensive score of the manufacturing plant of the product;
determining a grade level of the product based on the composite score of the manufacturing plant.
In a second aspect, an embodiment of the present application provides an intelligent bidding device, which includes at least one storage and a processor, the storage is configured to store computer instructions, and the processor is configured to execute the computer instructions to implement the following steps:
acquiring suppliers matched with user requirements from a database based on the user requirements;
screening out suppliers meeting the parameter standard from suppliers matched with the user requirement based on a preset parameter standard;
and acquiring relevant data of the suppliers meeting the parameter standard, evaluating the suppliers meeting the parameter standard, and determining target suppliers.
In a third aspect, an embodiment of the present application provides a computer storage medium, where a computer program is stored, and when executed by a processor, the computer program implements the method described above.
Through the embodiment of the application, intelligent bidding can be realized, suppliers in the database are analyzed objectively and intelligently, target suppliers are determined from the suppliers, and compared with manual bidding, the intelligent bidding has higher working efficiency and more thorough and objective analysis on the target suppliers.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of an intelligent bidding method according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of determining a target provider based on an evaluation report as provided by an embodiment of the present application;
FIG. 3 is a schematic flow chart of generating an evaluation report according to an embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating a process for determining a target provider according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an intelligent bidding device according to an embodiment of the present application;
FIG. 6 is a schematic illustration of a grade level for auditing a manufacturing facility, provided by an embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the drawings in the embodiments of the present application.
The terms "including" and "having," and any variations thereof, in the description and claims of this application and the drawings described above, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Bidding and tendering are transaction modes adopted when large goods are bought and sold under market economic conditions, engineering construction projects are contracted and contracted, and service projects are purchased and provided. In this kind of transaction, usually, a buyer who buys a project (including purchase of goods, contracting of a project, and purchasing of services) is used as a tenderer, and issues tendering information by issuing tendering announcement or inviting to a certain number of specific suppliers and contractors, and the bidding price of goods, projects, or services and other conditions responding to bidding requirements are intentionally provided to participate in bidding competition, and after the tenderer reviews and compares the quotes of each bidder and other conditions, the bidder selects a winner preferentially and signs a purchasing contract with the winner.
In the prior art, the tender is tendered manually, in the tender tendering process, the suppliers are evaluated manually, the evaluation process is very slow, and meanwhile, subjective colors are always carried out during manual evaluation, so that the evaluation is inaccurate, and the cooperation risk is increased.
Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent bidding method provided in an embodiment of the present application, and in order to better understand the method provided in the present application, an execution subject of the method may be set as a device 100, where the method includes, but is not limited to, the following steps:
s1, acquiring suppliers matched with user demands from a database based on the user demands.
In the embodiment provided by the present application, the user demand is specifically a product that the user needs to purchase, and taking user bidding as an example, the user performs a bidding activity (the user may be an individual or a company), where various suppliers with different business scopes are stored in the database, the supplier in the database may be a supplier that has been registered in a record in previous history collaboration with the user, the supplier in the database may be a supplier that is expected to be registered in a record in reference to the bidding activity performed by the user at this time, the supplier in the database may also be a supplier that is relatively named and registered in a record, the database may be a part of the apparatus 100, and the database may also be a part of other apparatuses.
When acquiring the suppliers matching with the user requirements from the database, the device 100 may directly search its own database to acquire the suppliers matching with the user requirements, the device 100 may also acquire the suppliers matching with the user requirements from the database of another device 100 through the local area network, and the device 100 may also acquire the suppliers matching with the user requirements from another database through the internet.
The database stores suppliers with different operation ranges, and when the database obtains the suppliers matched with the user requirements, the user requirements are matched with the suppliers by judging whether the operation ranges of the suppliers in the database contain the products required by the users or not if the products required by the users are in the operation range of a certain supplier in the database.
For example, company a needs to purchase the light bulb, and the purchase of the light bulb is the requirement of company a, and the business scope of the supplier matching company a needs to include selling the light bulb.
And S2, screening out suppliers meeting the parameter standard from the suppliers matched with the user requirements based on a preset parameter standard.
In the embodiments provided in the present application, the set parameter criteria may generally be set by the user, and the purpose of setting the parameter criteria is to increase a threshold for participating in a bidding and reduce a risk of subsequent collaboration, for example, the preset reference criteria is set to be that the registered fund cannot be less than 5000 ten thousand, so that all suppliers capable of participating in the bidding have a larger scale, thereby reducing an agreement that the suppliers have insufficient capacity to complete a promise within a preset time after successful bidding, and the user sets the parameter criteria so that the suppliers capable of participating in the bidding have a higher performance capability and reduce a risk of collaboration after successful bidding.
Specifically, the generated parameter standard may also be the business state of a company, and the user may set the parameter standard to be profitable in the last three years, and by setting the parameter standard, operators who do not realize the profitability in the last three years are excluded, so that the business state of the suppliers who can participate in the bidding is good, and further, the suppliers who can refer to the competition have a better business state, and further, the suppliers who can refer to the bidding have a higher performance capability.
And S3, acquiring relevant data of the suppliers meeting the parameter standards, evaluating the suppliers meeting the parameter standards, and determining target suppliers.
In the embodiments provided in the present application, after a certain number of suppliers meet the parameter criteria, relevant data of each supplier may be analyzed, and further, the suppliers meeting the parameter criteria may be screened, and when a target supplier is specifically determined, a preset number of suppliers may be screened as the target supplier.
Specifically, the relevant data of the suppliers meeting the parameter standards can comprise supplier credit information, supplier historical cooperation record information and supplier scale information; in one possible implementation, when the suppliers meeting the parameter criteria are evaluated, the contents of the materials of the suppliers are scored, then comprehensive scores of the suppliers are obtained, and then target suppliers are determined according to the comprehensive scores.
For example, the relevant data of the provider specifically includes provider reputation information, provider historical cooperation record information, and provider scale information, and when the provider is evaluated, the provider reputation information, the provider historical cooperation record information, and the provider scale information are scored, respectively, then a composite score of the provider is obtained according to a preset algorithm based on the score of the provider reputation information, the score of the provider historical cooperation record information, and the score of the provider scale information, and finally a target provider is determined according to the composite score of each provider.
Specifically, when calculating the composite score of the provider, the weight of the provider reputation information, the weight of the provider historical cooperation record information, and the weight of the provider scale information may be preset, and then the composite score of the provider is calculated based on the score of the provider reputation information, the score of the provider historical cooperation record information, and the score of the provider scale information, for example, the weight of the provider reputation information, the weight of the provider historical cooperation record information, and the weight of the provider scale information are respectively preset to be 40%, 30%, and if the score of the provider reputation information, the score of the provider historical cooperation record information, and the score of the provider scale information are respectively 80, 70, and 90, the composite score of the provider =40% × 30% × 70% × 90, and the composite score of the provider is 80.
When the target suppliers are specifically determined, screening can be performed according to the ranking of the comprehensive scores of the suppliers, or the target suppliers can be screened according to the lineation of the comprehensive scores of the suppliers, and the number of the determined target suppliers can be one or more.
Through the steps S1 to S3, intelligent bidding can be achieved, suppliers in the database can be analyzed objectively and intelligently, target suppliers are determined from the suppliers, and compared with manual bidding, the intelligent bidding is higher in working efficiency, and analysis on the target suppliers is more thorough and objective.
In an embodiment provided by the present application, the obtaining the supplier matching the user requirement from the database includes:
acquiring the operation range of each supplier in a database;
and screening out suppliers with the operation ranges matched with the user requirements.
Specifically, the database stores relevant data of suppliers, and the relevant data of the suppliers has the operation range of each supplier recorded therein, when a supplier whose operation range matches the user requirement is screened out, the apparatus 100 can directly obtain the operation range of each supplier from the database, and then select the supplier whose operation range matches the user requirement from the database.
In an embodiment provided by the present application, the supplier has parameter information associated with parameter criteria, and the screening out suppliers matching the parameter criteria from among the suppliers matching the user requirement includes the steps of:
and comparing the parameter information of the suppliers matched with the user requirements with the parameter standard so as to screen out the suppliers meeting the parameter standard.
After the suppliers matching with the user requirement are selected, the suppliers matching with the user requirement are further screened, the device 100 identifies the parameter information of each supplier matching with the user requirement, then the identified parameter information of the suppliers is compared with the parameter standard, when the parameter information of the suppliers does not meet the set parameter standard, the suppliers not meeting the set parameter standard are removed, and the suppliers meeting the set parameter standard are reserved for further screening the target suppliers.
In embodiments provided herein, the parameter criteria is at least one of: registering a fund standard, a desired supply amount;
the parameter criteria includes a desired supply amount;
the expected supply quantity is obtained by evaluation, and the method specifically comprises the following steps:
acquiring a plurality of historical trading volume per unit time of suppliers matched with the user demands;
and estimating the expected supply quantity of the suppliers matched with the user demands at the preset tendering delivery time based on the trend of the volume of the plurality of units of time.
Specifically, in setting the parameter criteria specifically, the parameter criteria is the amount of registered funds, the parameter criteria may be annual business amount, and the parameter criteria may also be annual average business amount in the last years.
By setting the parameter standard, the target supplier determined to have stronger strength is ensured, and the cooperation risk of the user and the target supplier is further reduced.
In the bidding process, the supply capacity of the supplier needs to be considered, and the condition that the client can not provide the commodities according to time when the user needs to use the commodities is avoided.
In the embodiments provided by the present application, the supply capacity of the provider is determined by evaluating the expected supply amount of the provider, for example, the user tenders the offer for the a commodity, b a commodities are provided within one year when in demand, and the monthly supply amount is not less than c; if company B intends to bid on commodity A, the device acquires the unit time historical supply quantity of company B from the database when analyzing the expected supply quantity of company B, wherein the unit time historical supply quantity refers to the quantity of commodity A supplied at the set time before; for example, the amount of the a commodity supplied in month 1, the amount of the a commodity supplied in month 2, and the amount of the a commodity supplied in month 3, when determining the desired supply amount of the B company, the desired supply amount of the month is predicted according to the trend of the supply amounts in months 1, 2, and 3, for example, the desired supply amount of month 4 can be predicted, and when predicting the desired supply amount of month 4 of the B company, the trend of the historical volume of the past 4 month, the previous 4 month, and the last 4 month can be further obtained to predict the desired supply amount of month 4 of the B company in this year.
In some embodiments, referring to fig. 2, fig. 2 is a flowchart of determining a target provider according to an evaluation report provided in an embodiment of the present application, where the evaluation of the provider meeting the parameter criteria includes the steps of:
s31, analyzing the relevant data of the suppliers meeting the parameter standards to generate an evaluation report;
and S32, determining a target supplier based on the evaluation report of each supplier.
Specifically, the content of the evaluation report is directly from the relevant data of the supplier (such as the relevant profile of the supplier), and the evaluation report can also be indirectly from the relevant data of the supplier (such as the evaluation score obtained by evaluating the supplier).
The evaluation report is specifically used for simplifying and summarizing relevant data of the suppliers aiming at the bidding, and the evaluation report can be used for facilitating the checker to more intuitively check the conditions of each supplier.
Generating an assessment report may also facilitate device 100 understanding of the supplier's situation, thereby facilitating the determination of the target supplier.
In some embodiments, referring to fig. 3, fig. 3 is a schematic flowchart of a process for generating an evaluation report provided in an embodiment of the present application, where the relevant information of the suppliers meeting the parameter criteria at least includes one of the following information: supplier credit information, supplier historical cooperation record information and supplier scale information;
said generating an assessment report comprises the steps of:
s311, collecting various information in the related data of the supplier;
s312, calculating to obtain an evaluation score of the supplier based on the preset weight and the preset algorithm of each item of information in the relevant data of the supplier, and further forming an evaluation report.
That is, the generated evaluation report includes the evaluation score of the supplier corresponding to the evaluation report, and the evaluation score represents the composite score of the supplier.
In specifically determining the target provider, the composite score in the evaluation report may be used as an important factor in determining the target provider.
In some embodiments, referring to fig. 4, fig. 4 is a schematic flowchart of a process of determining a target provider provided in an embodiment of the present application, where determining a target provider based on the evaluation report includes the steps of:
s321, comparing the evaluation reports of all suppliers;
and S322, taking the supplier with the highest evaluation score as the target supplier.
When selecting a target provider, the apparatus 100 may select a provider with the highest evaluation score as the target provider, and may select a plurality of providers with the highest evaluation scores as the target providers.
The apparatus 100 is more objective and fair than the human determination of the target suppliers by evaluating each supplier and deriving an evaluation score and then determining the target supplier through the evaluation score.
In an embodiment provided by the present application, the analyzing the relevant data of the suppliers meeting the parameter criteria includes the steps of:
acquiring the quotation of the product corresponding to the user requirement of the supplier meeting the parameter standard;
querying a manufacturing plant of the product through a skynet to determine a quality level of the product;
determining a product quality score based on the offer for the product, the quality level of the product;
acquiring interest events related to the suppliers meeting the parameter standards within a preset time, wherein the interest events related to the suppliers meeting the parameter standards within the preset time comprise the interest events of the suppliers meeting the parameter standards and the interest events of main partners of the suppliers meeting the parameter standards;
determining a risk score of the supplier meeting the parameter criteria based on the supplier-related event of interest within a preset time period;
determining an assessment score for the vendor meeting the parameter criteria based on the product quality score, the risk score for the vendor meeting the parameter criteria;
and determining a target supplier according to the evaluation score.
When a target supplier is selected, two aspects of the supplier are mainly examined, on the first aspect, the quality of the product provided by the supplier is examined, whether the product provided by the supplier is good and cheap or not is evaluated, and whether the product provided by the supplier has higher cost performance or not is evaluated; in a second aspect, the risk level of the cooperation between the supplier and the user is examined to determine whether the supplier can maintain a stable supply relationship with the user, for example, if the supplier has severe negative news in the near future, the negative news is likely to cause the supplier to be difficult to maintain operation, and at this time, if the supplier is determined as the target client, the supplier has a great cooperation risk, and the supplier is likely to have no ability to fulfill the contract, which causes great loss to the user; for another example, if a major partner of a supplier is experiencing more serious negative news, which is likely to cause the partner of the supplier to be difficult to maintain operation, and the operation of the partner of the supplier directly affects the operating funds of the supplier, then there is a great risk of cooperation if the supplier is determined to be a target customer, and the supplier is likely to have no ability to fulfill the contract, causing great loss to the user.
In a possible implementation manner, the determining the evaluation score of the supplier meeting the parameter criteria further includes the steps of:
acquiring whether the supplier and the user which accord with the parameter standard have a bidirectional supply-demand relationship;
if yes, adding a preset score to the evaluation scores of the suppliers meeting the parameter standard.
Specifically, the bidirectional supply-demand relationship refers to that two cooperating parties supply products to each other, for example, company a supplies raw materials to company B, and company B supplies products to company a, so that a and B have the bidirectional supply-demand relationship.
In the embodiment provided by the application, when suppliers having a bidirectional supply-demand relationship with the user exist in the suppliers meeting the parameter standard, when each supplier meeting the parameter standard is scored, the suppliers having the bidirectional supply-demand relationship with the user are scored, so that the user and the suppliers having the bidirectional supply-demand relationship with the user can conveniently further cooperate.
In one possible implementation, the querying, through the skynet, a manufacturing plant of the product to determine a quality level of the product includes the steps of:
acquiring at least one item of information of company scale information, production capacity information, testing capacity information, research and development capacity information and business cooperation information of a manufacturing plant of the product through a skynet, and determining a comprehensive score of the manufacturing plant of the product;
determining a grade level of the product based on the composite score of the manufacturing plant.
Referring to fig. 6, fig. 6 is a schematic diagram illustrating a grade level of a manufacturing plant being audited according to an embodiment of the present application, in particular, a composite score of the manufacturing plant may be evaluated by an auditor, and when the composite score of the manufacturing plant is evaluated by the auditor, in particular, the following items are audited by the auditor: compliance, environmental protection safety, a quality management system, supplier management, material management, production planning, production process control, equipment maintenance, finished product inspection and warehousing, research and development, laboratories, informatization degree, customer satisfaction and contract technical standards; to determine the hierarchical level of the manufacturing plant, the hierarchical level of the manufacturing plant may be divided into a, B, C, D, etc. hierarchical levels.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an intelligent bidding apparatus provided in an embodiment of the present application, where the apparatus 100 includes at least one storage configured to store computer instructions and a processor configured to execute the computer instructions to implement the following steps:
acquiring suppliers matched with user requirements from a database based on the user requirements;
screening out suppliers which are matched with the user requirements and meet the parameter standards from the suppliers which are matched with the user requirements based on preset parameter standards;
and acquiring relevant data of the suppliers meeting the parameter standard, evaluating the suppliers meeting the parameter standard, and determining target suppliers.
In one possible implementation, when the supplier matching the user requirement is obtained from the database, the process is configured to perform the following steps:
acquiring the operation range of each supplier in a database;
and screening out suppliers with the operation ranges matched with the user requirements.
In one possible implementation, the suppliers have parameter information associated with parameter criteria, and when the suppliers matching the user's demand are screened for suppliers meeting the parameter criteria, the process is configured to perform the steps of:
acquiring parameter information of each supplier matched with the user requirements;
and respectively comparing the parameter information of each supplier matched with the user requirement with the parameter standard so as to screen out the suppliers meeting the parameter standard.
In one possible implementation, the parameter criterion is at least one of: registering a fund standard, a desired supply amount;
the parameter criteria includes a desired supply amount;
the expected supply quantity is obtained by evaluation, and the method specifically comprises the following steps:
acquiring a plurality of historical trading volume per unit time of suppliers matched with the user demands;
and based on the trend of the volume of the deals in a plurality of unit times, predicting the expected supply volume of the suppliers matched with the user demands at the preset tendering delivery time.
In one possible implementation, the process, when evaluating the suppliers meeting the parameter criteria, is configured to perform the steps of:
analyzing the relevant data of the suppliers meeting the parameter standard to generate an evaluation report;
determining a target supplier based on the evaluation report of each supplier.
In a possible implementation manner, the analyzing the relevant data of the suppliers meeting the parameter standard includes the following steps:
acquiring the quotation of the product corresponding to the user requirement of the supplier meeting the parameter standard;
querying a manufacturing plant of the product through a skynet to determine a quality level of the product;
determining a product quality score based on the offer for the product, the quality level of the product;
acquiring interest events related to the suppliers meeting the parameter standards within a preset time, wherein the interest events related to the suppliers meeting the parameter standards within the preset time comprise the interest events of the suppliers meeting the parameter standards and the interest events of main partners of the suppliers meeting the parameter standards;
determining a risk score for the supplier meeting the parameter criteria based on the supplier-related adverse events meeting the parameter criteria within a preset time;
determining an assessment score for the vendor meeting the parameter criteria based on the product quality score, the risk score for the vendor meeting the parameter criteria;
and determining a target supplier according to the evaluation score.
In a possible implementation manner, the determining an evaluation score of the supplier meeting the parameter criteria further includes:
acquiring whether the suppliers meeting the parameter standards and the users have a bidirectional supply and demand relationship;
if yes, adding a preset score to the evaluation scores of the suppliers meeting the parameter standard.
In one possible implementation, the querying, through the skynet, a manufacturing plant of the product to determine a quality level of the product includes the steps of:
acquiring at least one item of information of company scale information, production capacity information, testing capacity information, research and development capacity information and business cooperation information of a manufacturing plant of the product through a skynet, and determining a comprehensive score of the manufacturing plant of the product;
determining a grade level of the product based on the composite score of the manufacturing plant.
An embodiment of the present application further provides a computer storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method is implemented.
For the concepts, explanations, details and other steps related to the technical solutions provided in the embodiments of the present application related to the apparatus 100, reference is made to the description of the foregoing methods or the contents of the method steps executed by the apparatus 100 in other embodiments, which are not described herein again.
Referring to fig. 5, a schematic structural diagram of an intelligent bidding device according to an embodiment of the present disclosure is shown, where the device 100 includes:
a processor 110, a memory 120, and a communication interface 130. The processor 110, the memory 120, and the communication interface 130 are coupled by a bus 140, the memory 120 is configured to store instructions, and the processor 110 is configured to execute the instructions stored by the memory 120 to implement the method steps corresponding to fig. 1-4, as described above.
The processor 110 is configured to execute the instructions stored in the memory 120 to control the communication interface 130 to receive and transmit signals, thereby implementing the steps of the above-described method. The memory 120 may be integrated in the processor 110, or may be provided separately from the processor 110.
In one possible implementation, the function of the communication interface 130 may be implemented by a transceiver circuit or a dedicated chip for transceiving. The processor 110 may be considered to be implemented by a dedicated processing chip, processing circuit, processor, or a general purpose chip.
In another possible implementation manner, the apparatus 100 provided by the embodiment of the present application may be implemented by using a general-purpose computer. Program code that implements the functions of the processor 110 and the communication interface 130 is stored in the memory 120, and a general-purpose processor implements the functions of the processor 110 and the communication interface 130 by executing the code in the memory 120.
For the concepts, explanations, details and other steps related to the technical solutions provided in the embodiments of the present application related to the apparatus 100, reference is made to the description of the foregoing methods or the contents of the method steps executed by the apparatus 100 in other embodiments, which are not described herein again.
As another implementation manner of the present embodiment, a computer-readable storage medium is provided for storing a computer program, and the computer-readable storage medium stores instructions that, when executed on a computer, perform the method in the above-described method embodiment.
As another implementation of the present embodiment, a computer program product is provided, which contains instructions that, when executed, perform the method in the above method embodiments.
Those skilled in the art will appreciate that only one memory and processor are shown in fig. 5 for ease of illustration. In an actual terminal or server, there may be multiple processors and memories. The memory may also be referred to as a storage medium or a storage device, and the like, which is not limited in this application.
It should be understood that, in the embodiment of the present Application, the processor may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like.
It will also be appreciated that the memory referred to in the embodiments of the application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and Direct bus RAM (DR RAM).
It should be noted that when the processor is a general-purpose processor, a DSP, an ASIC, an FPGA or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component, the memory (memory module) is integrated in the processor.
It should be noted that the memory described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
The bus may include a power bus, a control bus, a status signal bus, and the like, in addition to the data bus. But for clarity of illustration the various buses are labeled as buses in the figures.
It should also be understood that reference herein to first, second, third, fourth, and various numerical designations is made only for ease of description and should not be used to limit the scope of the present application.
It should be understood that the term "and/or" herein is only one kind of association relationship describing the association object, and means that there may be three kinds of relationships, for example, a and/or B, and may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in a processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and combines hardware thereof to complete the steps of the method. To avoid repetition, it is not described in detail here.
In the embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various Illustrative Logical Blocks (ILBs) and steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate components may or may not be physically separate. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), among others.
The above description is only for the specific embodiments of the present application, but the scope of the present application 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 application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. An intelligent bidding method is characterized by comprising the following steps:
acquiring suppliers matched with user requirements from a database based on the user requirements;
screening out suppliers meeting the parameter standard from suppliers matched with the user requirement based on a preset parameter standard;
and acquiring relevant data of the suppliers meeting the parameter standard, evaluating the suppliers meeting the parameter standard, and determining target suppliers.
2. The method of claim 1, wherein said retrieving from a database a supplier matching said user's needs comprises the steps of:
acquiring the operation range of each supplier in a database;
and screening out suppliers with the operation ranges matched with the user requirements.
3. The method of claim 1, wherein a supplier has parameter information associated with parameter criteria, said screening suppliers matching said parameter criteria from among suppliers matching said user's needs, comprising the steps of:
acquiring parameter information of each supplier matched with the user requirement;
and respectively comparing the parameter information of each supplier matched with the user requirement with the parameter standard so as to screen out the suppliers meeting the parameter standard.
4. A method according to claim 1 or 3, characterized in that the parameter criterion is at least one of the following: registering a fund standard and a desired supply amount;
the parameter criteria includes a desired supply amount;
the expected supply quantity is obtained by evaluation, and the method specifically comprises the following steps:
acquiring a plurality of historical trading volumes of suppliers in unit time, wherein the historical trading volumes of suppliers are matched with the user requirements;
and based on the trend of the volume of the deals in a plurality of unit times, predicting the expected supply volume of the suppliers matched with the user demands at the preset tendering delivery time.
5. The method of claim 1, wherein said evaluating said suppliers meeting said parameter criteria comprises the steps of:
analyzing the relevant data of the suppliers meeting the parameter standard to generate an evaluation report;
determining a target supplier based on the evaluation report of each supplier.
6. The method of claim 5, wherein said analyzing said supplier's profile that meets said parameter criteria comprises the steps of:
acquiring the quotation of the product corresponding to the user requirement of the supplier meeting the parameter standard;
querying a manufacturing plant of the product through a skynet to determine a quality level of the product;
determining a product quality score based on an offer for the product, a quality level for the product;
acquiring interest events related to the suppliers meeting the parameter standards within a preset time, wherein the interest events related to the suppliers meeting the parameter standards within the preset time comprise the interest events of the suppliers meeting the parameter standards and the interest events of main partners of the suppliers meeting the parameter standards;
determining a risk score for the supplier meeting the parameter criteria based on the supplier-related adverse events meeting the parameter criteria within a preset time;
determining an assessment score for the vendor meeting the parameter criteria based on the product quality score, the risk score for the vendor meeting the parameter criteria;
and determining a target supplier according to the evaluation score.
7. The method of claim 6, wherein said determining an assessment score for said suppliers meeting said parameter criteria further comprises the steps of:
acquiring whether the suppliers meeting the parameter standards and the users have a bidirectional supply and demand relationship;
if yes, adding a preset score to the evaluation scores of the suppliers meeting the parameter standard.
8. The method of claim 7, wherein said querying a manufacturing plant of said product through a skynet to determine a quality level of said product comprises the steps of:
acquiring at least one item of information of company scale information, production capacity information, testing capacity information, research and development capacity information and business cooperation information of a manufacturing plant of the product through a skynet, and determining a comprehensive score of the manufacturing plant of the product;
determining a grade level of the product based on a composite score of the manufacturing plant.
9. An intelligent tendering apparatus comprising at least one memory and a processor, the memory configured to store computer instructions, the processor configured to execute the computer instructions to implement the steps of:
acquiring suppliers matched with user requirements from a database based on the user requirements;
screening out suppliers meeting the parameter standard from suppliers matched with the user requirement based on a preset parameter standard;
and acquiring relevant data of the suppliers meeting the parameter standard, evaluating the suppliers meeting the parameter standard, and determining target suppliers.
10. A computer storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1-7.
CN202110789740.8A 2021-07-13 2021-07-13 Intelligent bidding method and device and computer readable medium Withdrawn CN115619239A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117689274A (en) * 2024-02-02 2024-03-12 深圳市企企通科技有限公司 Intelligent performance accounting method, device, equipment and medium based on supply chain management

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117689274A (en) * 2024-02-02 2024-03-12 深圳市企企通科技有限公司 Intelligent performance accounting method, device, equipment and medium based on supply chain management
CN117689274B (en) * 2024-02-02 2024-05-10 深圳市企企通科技有限公司 Intelligent performance accounting method, device, equipment and medium based on supply chain management

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