CN113139769A - Purchasing method and device based on artificial intelligence, computer equipment and storage medium - Google Patents
Purchasing method and device based on artificial intelligence, computer equipment and storage medium Download PDFInfo
- Publication number
- CN113139769A CN113139769A CN202110430636.XA CN202110430636A CN113139769A CN 113139769 A CN113139769 A CN 113139769A CN 202110430636 A CN202110430636 A CN 202110430636A CN 113139769 A CN113139769 A CN 113139769A
- Authority
- CN
- China
- Prior art keywords
- information
- scheme
- supply
- alternative
- intelligent
- 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.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a purchasing scheme intelligent recommendation method, a purchasing scheme intelligent recommendation device, computer equipment and a storage medium, wherein the method comprises the following steps: the method comprises the steps of converting demand information from a user terminal according to a tag library to obtain corresponding tag information, obtaining matched alternative supply schemes in a supply information table according to the tag information, calculating quotation information of each alternative supply scheme, quantizing the supply quantization information of each alternative supply scheme according to the demand information, the alternative supply schemes and the quotation information, intelligently grading the supply quantization information according to an intelligent grading model, sorting according to the grading values to obtain alternative sorting results, and feeding the alternative sorting results back to the user terminal. The invention belongs to the field of artificial intelligence and also relates to a block chain technology, wherein an alternative supply scheme matched with demand information is obtained and is intelligently evaluated to obtain a sorting result, and a user can conveniently and correspondingly select according to the sorting result and a scoring value, so that the purchasing time is saved, the purchasing transparency is increased, and the purchasing efficiency can be greatly improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, belongs to an application scene of intelligently evaluating a supply scheme in a smart city to realize intelligent recommendation of a purchase scheme, and particularly relates to an intelligent recommendation method and device of the purchase scheme, computer equipment and a storage medium.
Background
During the process of purchasing, an enterprise generally needs to assign a host to inquire prices in multiple directions, and perform offline docking communication with suppliers to enable the suppliers to know the needs of the enterprise to provide customized service schemes, wherein the enterprise compares and selects the schemes provided by multiple suppliers, and finally determines the service schemes and purchase prices through multiple rounds of communication with the multiple suppliers. However, the traditional purchasing method has the problems of long time consumption and insufficient transparency in the purchasing process, and the comprehensive comparison of the schemes provided by a plurality of suppliers is difficult to carry out, so that the purchasing efficiency of an enterprise is influenced. Therefore, the purchasing method in the prior art has the problem of low purchasing efficiency.
Disclosure of Invention
The embodiment of the invention provides an intelligent purchasing scheme recommendation method and device, computer equipment and a storage medium, and aims to solve the problem of low purchasing efficiency of a purchasing mode in the prior art.
In a first aspect, an embodiment of the present invention provides an intelligent purchasing scheme recommendation method, including:
if the demand information from the user terminal is received, converting the demand information according to a pre-stored label library to obtain corresponding label information;
acquiring alternative supply schemes matched with the label information in a pre-stored supply information table;
calculating and obtaining quotation information corresponding to each alternative supply scheme according to the demand information;
quantizing the demand information, the alternative supply schemes and the quotation information according to a preset quantization rule to obtain supply quantization information corresponding to each alternative supply scheme;
intelligently scoring each supply quantitative information according to a preset intelligent scoring model to obtain a scoring value corresponding to each alternative supply scheme;
and obtaining alternative scheme sorting results according to the score value corresponding to each alternative supply scheme and feeding back the alternative scheme sorting results to the user terminal.
In a second aspect, an embodiment of the present invention provides an intelligent purchasing scheme recommending apparatus, including:
the tag information acquisition unit is used for converting the demand information according to a pre-stored tag library to obtain corresponding tag information if the demand information from the user terminal is received;
the alternative supply scheme acquisition unit is used for acquiring an alternative supply scheme matched with the label information in a pre-stored supply information table;
the quotation information calculation unit is used for calculating and obtaining quotation information corresponding to each alternative supply scheme according to the demand information;
a supply quantization information obtaining unit, configured to quantize the demand information, the alternative supply schemes, and the offer information according to a preset quantization rule, to obtain supply quantization information corresponding to each alternative supply scheme;
the scoring value acquisition unit is used for intelligently scoring each supply quantitative information according to a preset intelligent scoring model to obtain a scoring value corresponding to each alternative supply scheme;
and the ranking result feedback unit is used for acquiring ranking results of the alternative schemes according to the score value corresponding to each alternative supply scheme and feeding the ranking results back to the user terminal.
In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor, when executing the computer program, implements the intelligent purchasing scenario recommendation method according to the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, causes the processor to execute the intelligent purchasing scenario recommendation method according to the first aspect.
The embodiment of the invention provides a purchasing scheme intelligent recommendation method and device and a computer readable storage medium. The method comprises the steps of converting demand information from a user terminal according to a tag library to obtain corresponding tag information, obtaining matched alternative supply schemes in a supply information table according to the tag information, calculating quotation information of each alternative supply scheme, quantizing the supply quantization information of each alternative supply scheme according to the demand information, the alternative supply schemes and the quotation information, intelligently grading the supply quantization information according to an intelligent grading model, sorting according to the grading values to obtain alternative sorting results, and feeding the alternative sorting results back to the user terminal. By the method, the alternative supply scheme matched with the demand information can be obtained and intelligently evaluated to obtain the sorting result, and the user can select the alternative supply scheme according to the sorting result and the score value, so that the purchasing time is saved, the purchasing transparency is increased, and the purchasing efficiency can be greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 some embodiments of the present invention, 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 flow chart of a purchasing scheme intelligent recommendation method provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram of an application scenario of an intelligent purchasing scheme recommendation method according to an embodiment of the present invention;
FIG. 3 is a sub-flow diagram of an intelligent purchasing scenario recommendation method according to an embodiment of the present invention;
FIG. 4 is a schematic view of another sub-flow of the intelligent purchasing scheme recommending method according to an embodiment of the present invention;
FIG. 5 is a schematic view of another sub-flow of the intelligent purchasing scheme recommending method according to an embodiment of the present invention;
FIG. 6 is a schematic view of another sub-flow of the intelligent purchasing scheme recommending method according to an embodiment of the present invention;
FIG. 7 is another schematic flow chart of a purchasing scenario intelligent recommendation method according to an embodiment of the present invention;
FIG. 8 is another schematic flow chart of a purchasing scenario intelligent recommendation method according to an embodiment of the present invention;
FIG. 9 is a schematic block diagram of an intelligent purchasing scenario recommendation device provided by an embodiment of the present invention;
FIG. 10 is a schematic block diagram of a computer device provided by an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic flowchart of an intelligent purchasing scheme recommendation method according to an embodiment of the present invention, and fig. 2 is a schematic application scenario diagram of the intelligent purchasing scheme recommendation method according to the embodiment of the present invention; the intelligent purchasing scheme recommending method is applied to a management server 10, a user terminal 20 and the management server 10 are connected through a network to transmit data information, the intelligent purchasing scheme recommending method is executed through application software installed in a management server 10, the management server 10 is a server end which can receive demand information from a user terminal 20, correspondingly acquire an alternative supply scheme matched with the demand information and perform intelligent evaluation, the user terminal 20 is a terminal device which establishes network connection with the management server to realize data information transmission, such as a desktop computer, a notebook computer, a tablet computer, or a mobile phone, the management server may be a server configured by an enterprise or a government agency for making intelligent recommendation of the purchasing scheme, and the user of the user terminal may be an enterprise employee or a government agency employee. As shown in fig. 1, the method includes steps S110 to S160.
S110, if the demand information from the user terminal is received, converting the demand information according to a pre-stored label library to obtain corresponding label information.
And if the demand information input by the user through the user terminal is received, converting the demand information according to a pre-stored label library to obtain corresponding label information. The user can input the demand information through the user terminal and send the demand information to the management server, and then the management server can correspondingly convert the demand information into the tag information, wherein the tag library is a database which is pre-stored in the management server and is used for converting the demand information, and the demand information can be converted into the corresponding tag information so as to improve the efficiency of matching processing based on the tag information. For example, if a user needs to purchase a service such as a business meeting or a trade show, information such as a departure place, a destination, departure time, arrival time, a service type, the number of people, and date may be input as the demand information.
In one embodiment, as shown in FIG. 3, step S110 includes sub-steps S111 and S112.
And S111, acquiring a corresponding field value from the requirement information according to the keywords contained in the tag library.
The tag library comprises a plurality of keywords, the field value corresponding to each keyword in the demand information can be obtained according to the keywords, and if the information corresponding to a certain keyword in the demand information is not empty, the information is obtained as the field value corresponding to the keyword. For example, the keywords contained in the tag library may be origin, destination, service type, date information.
And S112, obtaining the label value associated with each field value according to the field association relation in the label library to obtain the label information.
The tag library also comprises a plurality of field incidence relations, the field incidence relations are corresponding incidence relations between corresponding field values and tag values, and the tag values of the corresponding field incidence relations can be obtained according to the field values to serve as tag information corresponding to the required information. Specifically, the tag information may be digital tag information recorded in a digital format.
For example, the origin is the sea pearl area of Guangzhou city, Guangdhou province, and the field association matching the Guangzhou city, Guangdhou city is-020, i.e., 020 can be used as the label value matching the origin.
And S120, acquiring alternative supply schemes matched with the label information in a pre-stored supply information table.
And acquiring alternative supply information matched with the label information in a supply information table. The supply information table is an information table configured in the management server and used for storing supply information provided by a plurality of suppliers, each supply information in the supply information table is composed of at least one service item, each service item comprises corresponding service information, the service information can be configured in advance by the suppliers, and corresponding alternative supply schemes can be obtained from the supply information table based on the label information. For example, the provisioning terminal may be connected to the management server via a network to implement transmission of data information, the provisioning party may configure the service information of each service item through the provisioning terminal to generate provisioning information including a plurality of service items, and transmit the generated provisioning information to the management server through the provisioning terminal, and the management server receives the provisioning information and stores the provisioning information in the provisioning information table.
In an embodiment, as shown in fig. 4, step S120 includes substeps S121 and S122.
S121, screening the supply information containing the label information from the supply information table according to the label information.
Specifically, the supply information in the supply information table may be screened according to the obtained tag information, and it is determined whether each supply information includes all tag values in the tag information, and if the supply information includes all tag values, the supply information is used as the supply information obtained by screening; if the supply information does not contain all the label values, the supply information is screened out.
S122, ordering and combining the service items contained in the supply information to obtain the alternative supply scheme.
The service information of each service item in the provisioning information correspondingly comprises time information and importance information, and the service items contained in the provisioning information can be sorted and combined according to the time sequence and the importance sequence, so that an alternative provisioning scheme corresponding to each provisioning information can be obtained. Specifically, the service items included in the supply information are sorted and combined according to a time sequence, for example, if the service item is the time information of the departure trip in front and the service item is the time information of the meeting and the sight spot visit in back, the departure trip is sorted according to the time sequence in front of the meeting and the sight spot visit, and the service items of the same time information can be sorted in parallel; and then sequencing the plurality of service items after the initial sequencing according to the importance sequence, for example, if the importance information of the service item as the meeting is important, and the importance information of the service item as the scenic spot tourism is unimportant, sequencing the meeting before the scenic spot tourism according to the importance sequence. The information obtained by sorting the service items included in each piece of provisioning information is the alternative provisioning scheme corresponding to each piece of provisioning information.
And S130, calculating and obtaining the quotation information corresponding to each alternative supply scheme according to the demand information.
And calculating the quotation information corresponding to each alternative supply scheme according to the demand information. The alternative supply scheme comprises service information corresponding to a plurality of service items, and each service information comprises a basic personnel number and a basic price, wherein the basic personnel number of each service item is quantity information used for determining the coefficient value of the number of people in the process of calculating the quotation information, and the service information of each service item can be independently configured with the corresponding basic personnel number information; the basic price of each service item is a price standard used for calculating the service item in the process of calculating the quotation information, and the quotation information of each alternative supply scheme can be obtained by correspondingly calculating according to the demand information and each alternative supply scheme.
In an embodiment, as shown in fig. 5, step S130 includes sub-steps S131, S132, S133 and S134.
S131, determining the coefficient value of the number of people of each service item according to the number of people in the demand information and the number of basic people of each service item in each alternative supply scheme.
The demand information also comprises the number of people, the number coefficient value of the people of each service item can be correspondingly determined according to the number of people and the number of basic people of each service item, and the more the number of people is, the smaller the number coefficient value of the people correspondingly obtained is. Specifically, it is determined whether the number of people is less than the number of basic people of a service item, if so, the recognition coefficient value of the service item is determined to be 1, and if not, the corresponding number of people coefficient value is calculated according to a pre-stored number of people coefficient calculation formula, for example, the number of people coefficient calculation formula may be Vi＝1-0.02×r0/ri，r0Number of persons in demand information, riNumber of base staff, V, for the ith service item in an alternative provisioning schemeiIs the calculated value of the coefficient of the number of people. For example, if the number of people in the demand information is 15 and the number of base people for a certain service item is 10, the coefficient value of the number of people for the service item may be determined to be 0.97.
S132, calculating a time coefficient value corresponding to each service item according to the requirement date corresponding to each service item in the requirement information and a pre-stored time coefficient calculation formula.
The demand information also comprises a demand date corresponding to each service item, the interval time between each demand date and the current time can be obtained according to the demand date of each service item, and the time coefficient value corresponding to each service item is obtained through calculation according to the interval time of each service item and a pre-stored time coefficient calculation formula. Specifically, the time coefficient calculation formula can be expressed as:
wherein, tiThe interval time between the demand date and the current time of the ith service item in an alternative supply scheme, XiIs a calculated time coefficient value. For example, if the required date of a service item is 2021-1-21, the current time is 2021-1-1, the interval time is 20, and the corresponding time coefficient value is 1.09.
S133, calculating the price of each service item according to the basic price, the personnel coefficient value and the time coefficient value of each service item in each alternative supply scheme, the quantity of personnel in the demand information and the number of days; and S134, accumulating the prices of a plurality of service items of the same alternative supply scheme to obtain the quotation information corresponding to each alternative supply scheme.
Specifically, the basic price of each service item is multiplied by a personnel coefficient value, a time coefficient value and the quantity and times of personnel in the demand information to obtain the price of each server, namely the quantity of personnel is fixed quantity information, the demand information further comprises times respectively corresponding to a plurality of service items, the times of the service items not contained in the demand information default to 1, the personnel coefficient value and the time coefficient value are numerical information corresponding to each service item, each service item is correspondingly calculated to obtain a price, the prices of the service items contained in each alternative supply scheme are accumulated to obtain corresponding price quote information, and each alternative supply scheme corresponds to one price marking information.
S140, quantifying the demand information, the alternative supply schemes and the quotation information according to preset quantification rules to obtain supply quantification information corresponding to each alternative supply scheme.
And quantizing the demand information, the alternative supply schemes and the quotation information according to a preset quantization rule to obtain supply quantization information corresponding to each alternative supply scheme. The method can obtain demand difference information between demand information and alternative supply schemes, quantize the demand difference information and the offer information corresponding to the alternative supply schemes according to an information quantization rule to obtain supply quantization information corresponding to each alternative supply scheme, the supply quantization information can perform quantization representation on the characteristics of each alternative supply scheme, the supply quantization information can be represented as a multi-dimensional characteristic vector, and the numerical value of each dimension in the supply quantization information is not less than zero.
In an embodiment, as shown in fig. 6, step S140 includes sub-steps S141, S142 and S143.
And S141, acquiring demand difference information between each alternative supply scheme and the demand information according to the quantization items in the quantization rule.
Specifically, the demand difference information between the alternative supply scheme and the demand information may be obtained according to a quantitative item, where the quantitative item may include difference information between the number of service types in the demand information and the number of service items in the alternative supply scheme, difference time between arrival time in the demand information and expected arrival time in the alternative supply scheme, difference information between return time in the demand information and expected return time in the alternative supply scheme, difference time between return arrival time in the demand information and expected return arrival time in the alternative supply scheme, and the like, and then the difference information between the number of service types and the number of service items in the obtained demand difference information may be represented by a ratio of the number of service items to the number of service types, the difference information between the arrival time and the estimated arrival time can be represented by the ratio of the estimated arrival time to the arrival time, the difference information between the return time and the estimated return time can be represented by the ratio of the estimated return time to the return time, the difference time between the arrival time and the estimated arrival time can be represented by the absolute value of the difference between the arrival time and the estimated return time, and the difference time between the return arrival time and the estimated return arrival time can be represented by the absolute value of the difference between the arrival time and the estimated return arrival time.
S142, obtaining the quantitative value of the quotation information of each alternative supply scheme according to a quotation quantitative formula in the quantitative rule; and S143, combining the demand difference information of each alternative supply scheme with the quantitative value of the quotation information to obtain the supply quantitative information of each alternative supply scheme.
And obtaining the quotation information of each alternative supply scheme, and correspondingly calculating the quantitative value of each quotation information according to the quotation information and a quotation quantitative formula. For example, the quotation quantification formula can be expressed as
Wherein, w is the quotation information of a certain alternative supply scheme, and B is the quantized value obtained by corresponding calculation. And combining the demand difference information with the corresponding quantitative value of the quotation information to obtain the corresponding supply quantitative information.
S150, intelligently scoring each supply quantitative information according to a preset intelligent scoring model to obtain a scoring value corresponding to each alternative supply scheme.
And intelligently scoring each supply quantitative information according to a preset intelligent scoring model to obtain a scoring value corresponding to each alternative supply scheme. The intelligent scoring model comprises a plurality of input nodes, an output node and a plurality of intermediate layers, wherein each input node corresponds to a numerical value of one dimension in the supply quantitative information, the output node is a scoring value corresponding to the input supply quantitative information, correlation is carried out between the input nodes and the intermediate layers, between the intermediate layers and other adjacent intermediate layers and between the intermediate layers and the output nodes through correlation formulas, and each correlation formula can be expressed as a linear function. Inputting a supply quantitative information into an intelligent scoring model to carry out intelligent scoring, and then obtaining the scoring value of an alternative supply scheme corresponding to the supply quantitative information, wherein the value ranges of the scoring values are [0,100 ].
Specifically, step S150 further includes: and training the intelligent scoring model according to a gradient calculation formula and a pre-stored training data set to obtain the trained intelligent scoring model.
Before the intelligent scoring model is used, the intelligent scoring model can be trained through a pre-stored training data set and a gradient calculation formula, and the accuracy of intelligent scoring can be greatly improved by using the trained intelligent scoring model. Specifically, the training data set comprises a plurality of pieces of training data, each piece of training data comprises training quantitative information and a target score, and each piece of training input is sequentially input into the intelligent score model for iterative training.
S160, obtaining a candidate scheme sorting result according to the score value corresponding to each candidate supply scheme and feeding back the candidate scheme sorting result to the user terminal.
And obtaining alternative scheme sorting results according to the score value corresponding to each alternative supply scheme and feeding back the alternative scheme sorting results to the user terminal. And after receiving the alternative scheme sorting result through the user terminal, the user can select a corresponding alternative supply scheme from the alternative scheme sorting result as a target scheme.
In an embodiment, as shown in fig. 7, step S170 is further included after step S160.
S170, if a target scheme fed back by the user terminal according to the alternative scheme sorting result is received, training the intelligent scoring model according to the target scheme to obtain the trained intelligent scoring model.
If a target scheme fed back by the user terminal according to the alternative scheme sorting result is received, training an intelligent scoring model based on the target scheme, namely adjusting parameter values contained in the intelligent scoring model, wherein the specific steps can include (1) judging whether the target scheme is an alternative supply scheme with the highest scoring value in the alternative scheme sorting result; (2) if the target scheme is the alternative supply scheme with the highest score value in the alternative scheme sorting result, the parameter values in the intelligent scoring model are not adjusted; (3) if the target scheme is not the alternative supply scheme with the highest scoring value in the alternative scheme sorting results, obtaining a scoring difference value between the alternative supply scheme with the highest scoring value and the target scheme; (4) and calculating to obtain an updated value of each parameter in the intelligent scoring model according to a preset gradient calculation formula and the scoring difference value, and updating the parameter value of each parameter.
Specifically, a calculation value obtained by calculating an input node value corresponding to the target scheme by using one parameter in the intelligent scoring model is input into a gradient calculation formula, and an update value corresponding to the parameter can be calculated by combining the scoring difference value, wherein the calculation process is gradient descent calculation.
Specifically, the gradient calculation formula can be expressed as:
And correspondingly updating the parameter value of each parameter in the intelligent scoring model based on the calculated updated value, namely finishing a training process of the correlation analysis model.
In an embodiment, as shown in fig. 8, step S171 is further included after step S170.
S171, uploading the alternative scheme sorting result and the target scheme to a block chain for storage.
And uploading the alternative scheme sorting result and the target scheme as the purchasing process record information to a block chain for storage, and obtaining corresponding summary information based on the purchasing process record information, specifically, the summary information is obtained by performing hash processing on the purchasing process record information, for example, by using a sha256 algorithm. Uploading summary information to the blockchain can ensure the safety and the fair transparency of the user. The user device may download the summary information from the blockchain to verify that the procurement process record information has been tampered with. The blockchain referred to in this example is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm, and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The technical method can be applied to application scenes including intelligent evaluation of supply schemes to achieve intelligent recommendation of purchasing schemes, such as intelligent government affairs, intelligent city management, intelligent community, intelligent security protection, intelligent logistics, intelligent medical treatment, intelligent education, intelligent environmental protection and intelligent traffic, and accordingly construction of intelligent cities is promoted.
According to the intelligent purchasing scheme recommending method provided by the embodiment of the invention, the demand information from the user terminal is converted according to the tag library to obtain the corresponding tag information, the matched alternative supply schemes in the supply information table are obtained according to the tag information, the quotation information of each alternative supply scheme is obtained through calculation, the supply quantitative information of each alternative supply scheme is obtained through corresponding quantification according to the demand information, the alternative supply schemes and the quotation information, after the supply quantitative information is intelligently graded according to the intelligent grading model, the ordering result of the alternative schemes is obtained according to the grading value, and the ordering result is fed back to the user terminal. By the method, the alternative supply scheme matched with the demand information can be obtained and intelligently evaluated to obtain the sorting result, and the user can select the alternative supply scheme according to the sorting result and the score value, so that the purchasing time is saved, the purchasing transparency is increased, and the purchasing efficiency can be greatly improved.
The embodiment of the invention also provides an intelligent purchasing scheme recommending device, which can be configured in a management server and is used for executing any embodiment of the intelligent purchasing scheme recommending method. Specifically, referring to fig. 9, fig. 9 is a schematic block diagram of an intelligent purchasing scenario recommending apparatus according to an embodiment of the present invention.
As shown in fig. 9, the purchasing scenario intelligent recommendation apparatus 100 includes a tag information acquisition unit 110, an alternative supply scenario acquisition unit 120, a price quote information calculation unit 130, a supply quantitative information acquisition unit 140, a score value acquisition unit 150, and a ranking result feedback unit 160.
The tag information obtaining unit 110 is configured to, if the request information from the user terminal is received, convert the request information according to a pre-stored tag library to obtain corresponding tag information.
In one embodiment, the tag information obtaining unit 110 includes sub-units: a field value obtaining unit, configured to obtain a corresponding field value from the requirement information according to a keyword included in the tag library; and the tag value acquisition unit is used for acquiring the tag value associated with each field value according to the field association relation in the tag library to obtain the tag information.
An alternative provisioning scheme obtaining unit 120, configured to obtain an alternative provisioning scheme matching the tag information in a pre-stored provisioning information table.
In an embodiment, the alternative supply scheme acquisition unit 120 comprises sub-units: the supply information acquisition unit is used for screening the supply information containing the label information from the supply information table according to the label information; and the service item arrangement and combination unit is used for carrying out sequencing and combination on the service items contained in the supply information to obtain the alternative supply scheme.
And the quotation information calculation unit 130 is used for calculating the quotation information corresponding to each alternative supply scheme according to the demand information.
In one embodiment, the offer information calculation unit 130 includes sub-units: the people number coefficient value acquisition unit is used for determining the people number coefficient value of each service item according to the number of people in the demand information and the basic number of people of each service item in each alternative supply scheme; the time coefficient value acquisition unit is used for calculating a time coefficient value corresponding to each service item according to a requirement date corresponding to each service item in the requirement information and a pre-stored time coefficient calculation formula; the price calculation unit is used for calculating the price of each service item according to the basic price, the personnel coefficient value and the time coefficient value of each service item in each alternative supply scheme, the quantity of personnel in the demand information and the number of days; and the accumulation calculating unit is used for accumulating the prices of a plurality of service items of the same alternative supply scheme to obtain the quotation information corresponding to each alternative supply scheme.
A supply quantitative information obtaining unit 140, configured to quantize the demand information, the alternative supply schemes, and the offer information according to a preset quantization rule, so as to obtain supply quantitative information corresponding to each alternative supply scheme.
In an embodiment, the supply quantization information obtaining unit 140 includes sub-units: the demand difference information acquisition unit is used for acquiring demand difference information between each alternative supply scheme and the demand information according to the quantization items in the quantization rule; the quantitative value acquisition unit is used for acquiring the quantitative value of the quotation information of each alternative supply scheme according to a quotation quantitative formula in the quantitative rule; and the combination unit is used for combining the demand difference information of each alternative supply scheme with the quantitative value of the quotation information to obtain the supply quantitative information of each alternative supply scheme.
The score value obtaining unit 150 is configured to intelligently score each of the supply quantitative information according to a preset intelligent scoring model, and obtain a score value corresponding to each of the alternative supply solutions.
And a ranking result feedback unit 160, configured to obtain a ranking result of the alternative solutions according to the score value corresponding to each alternative supply solution, and feed the ranking result back to the user terminal.
In one embodiment, the intelligent purchasing scheme recommending device 100 further comprises the following sub-units: and the feedback training unit is used for training the intelligent scoring model according to the target scheme to obtain the trained intelligent scoring model if the target scheme fed back by the user terminal according to the alternative scheme sorting result is received.
In one embodiment, the intelligent purchasing scheme recommending device 100 further comprises the following sub-units: and the synchronous storage unit is used for uploading the alternative scheme sequencing result and the target scheme to a block chain for storage.
The intelligent purchasing scheme recommending device provided by the embodiment of the invention applies the intelligent purchasing scheme recommending method, converts the demand information from the user terminal according to the tag library to obtain corresponding tag information, obtains the matched alternative supply schemes in the supply information table according to the tag information and calculates to obtain the quotation information of each alternative supply scheme, obtains the supply quantitative information of each alternative supply scheme according to the corresponding quantification of the demand information, the alternative supply schemes and the quotation information, intelligently scores the supply quantitative information according to an intelligent scoring model, and then obtains an alternative sorting result according to the ranking value and feeds the alternative sorting result back to the user terminal. By the method, the alternative supply scheme matched with the demand information can be obtained and intelligently evaluated to obtain the sorting result, and the user can select the alternative supply scheme according to the sorting result and the score value, so that the purchasing time is saved, the purchasing transparency is increased, and the purchasing efficiency can be greatly improved.
The intelligent purchasing scheme recommending device can be implemented in the form of a computer program which can run on a computer device shown in fig. 10.
Referring to fig. 10, fig. 10 is a schematic block diagram of a computer device according to an embodiment of the present invention. The computer device can be a management server used for executing the intelligent purchasing scheme recommending method to intelligently evaluate the supply scheme so as to realize intelligent purchasing scheme recommendation.
Referring to fig. 10, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a storage medium 503 and an internal memory 504.
The storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032, when executed, may cause the processor 502 to perform the purchasing scenario intelligent recommendation method, wherein the storage medium 503 may be a volatile storage medium or a non-volatile storage medium.
The processor 502 is used to provide computing and control capabilities that support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can be enabled to execute the intelligent purchasing scenario recommendation method.
The network interface 505 is used for network communication, such as providing transmission of data information. Those skilled in the art will appreciate that the configuration shown in fig. 10 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing device 500 to which aspects of the present invention may be applied, and that a particular computing device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The processor 502 is configured to run the computer program 5032 stored in the memory to implement the corresponding functions in the intelligent purchasing scenario recommendation method.
Those skilled in the art will appreciate that the embodiment of a computer device illustrated in fig. 10 does not constitute a limitation on the specific construction of the computer device, and that in other embodiments a computer device may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components. For example, in some embodiments, the computer device may only include a memory and a processor, and in such embodiments, the structures and functions of the memory and the processor are consistent with those of the embodiment shown in fig. 10, and are not described herein again.
It should be understood that, in the embodiment of the present invention, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 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. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In another embodiment of the invention, a computer-readable storage medium is provided. The computer readable storage medium may be a volatile or non-volatile computer readable storage medium. The computer readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps included in the intelligent purchasing scenario recommendation method described above.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. 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 invention.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only a logical division, and there may be other divisions when the actual implementation is performed, or units having the same function may be grouped into one unit, for example, a plurality of units or components may be combined or may be 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 units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a computer-readable storage medium, which includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned computer-readable storage media comprise: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent purchasing scheme recommending method is applied to a management server, a user terminal is connected with the management server through a network to transmit data information, and the method comprises the following steps:
if the demand information from the user terminal is received, converting the demand information according to a pre-stored label library to obtain corresponding label information;
acquiring alternative supply schemes matched with the label information in a pre-stored supply information table;
calculating and obtaining quotation information corresponding to each alternative supply scheme according to the demand information;
quantizing the demand information, the alternative supply schemes and the quotation information according to a preset quantization rule to obtain supply quantization information corresponding to each alternative supply scheme;
intelligently scoring each supply quantitative information according to a preset intelligent scoring model to obtain a scoring value corresponding to each alternative supply scheme;
and obtaining alternative scheme sorting results according to the score value corresponding to each alternative supply scheme and feeding back the alternative scheme sorting results to the user terminal.
2. The intelligent purchasing scheme recommending method of claim 1, wherein the step of converting the demand information according to a pre-stored tag library to obtain corresponding tag information comprises:
acquiring a corresponding field value from the requirement information according to keywords contained in the tag library;
and obtaining the label value associated with each field value according to the field association relation in the label library to obtain the label information.
3. The intelligent purchasing scheme recommending method of claim 1, wherein the step of acquiring the alternative supply schemes matched with the label information in the pre-stored supply information table comprises the following steps:
screening the supply information containing the label information from the supply information table according to the label information;
and ordering and combining the service items contained in the supply information to obtain the alternative supply scheme.
4. The intelligent purchasing scheme recommending method of claim 1, wherein the step of calculating the offer information corresponding to each alternative supply scheme according to the demand information comprises:
determining the coefficient value of the number of people of each service item according to the number of people in the demand information and the basic number of people of each service item in each alternative supply scheme;
calculating a time coefficient value corresponding to each service item according to a requirement date corresponding to each service item in the requirement information and a pre-stored time coefficient calculation formula;
calculating the price of each service item according to the basic price, the personnel coefficient value and the time coefficient value of each service item in each alternative supply scheme, the quantity of personnel in the demand information and the number of days;
and accumulating the prices of a plurality of service items of the same alternative supply scheme to obtain the quotation information corresponding to each alternative supply scheme.
5. The intelligent purchasing scheme recommending method according to claim 1, wherein the step of quantifying the demand information, the alternative supply schemes and the offer information according to preset quantification rules to obtain supply quantification information corresponding to each alternative supply scheme comprises:
acquiring demand difference information between each alternative supply scheme and the demand information according to the quantitative items in the quantitative rule;
obtaining the quantitative value of the quotation information of each alternative supply scheme according to a quotation quantitative formula in the quantitative rule;
and combining the demand difference information of each alternative supply scheme with the quantitative value of the quotation information to obtain supply quantitative information of each alternative supply scheme.
6. The intelligent purchasing scheme recommending method of claim 1, wherein after the alternative scheme sorting result is obtained according to the score value corresponding to each alternative supply scheme and fed back to the user terminal, the method further comprises:
and if a target scheme fed back by the user terminal according to the alternative scheme sorting result is received, training the intelligent scoring model according to the target scheme to obtain the trained intelligent scoring model.
7. The intelligent purchasing scheme recommending method of claim 6, wherein after the training of the intelligent scoring model according to the target scheme to obtain the trained intelligent scoring model, the method further comprises:
and uploading the alternative scheme sequencing result and the target scheme to a block chain for storage.
8. An intelligent purchasing scheme recommending device, which is characterized by comprising:
the tag information acquisition unit is used for converting the demand information according to a pre-stored tag library to obtain corresponding tag information if the demand information from the user terminal is received;
the alternative supply scheme acquisition unit is used for acquiring an alternative supply scheme matched with the label information in a pre-stored supply information table;
the quotation information calculation unit is used for calculating and obtaining quotation information corresponding to each alternative supply scheme according to the demand information;
a supply quantization information obtaining unit, configured to quantize the demand information, the alternative supply schemes, and the offer information according to a preset quantization rule, to obtain supply quantization information corresponding to each alternative supply scheme;
the scoring value acquisition unit is used for intelligently scoring each supply quantitative information according to a preset intelligent scoring model to obtain a scoring value corresponding to each alternative supply scheme;
and the ranking result feedback unit is used for acquiring ranking results of the alternative schemes according to the score value corresponding to each alternative supply scheme and feeding the ranking results back to the user terminal.
9. An intelligent purchasing scheme recommending device, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to implement the intelligent purchasing scheme recommending method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the intelligent recommendation method for purchasing schemes as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110430636.XA CN113139769B (en) | 2021-04-21 | 2021-04-21 | Intelligent purchasing scheme recommending method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110430636.XA CN113139769B (en) | 2021-04-21 | 2021-04-21 | Intelligent purchasing scheme recommending method and device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113139769A true CN113139769A (en) | 2021-07-20 |
| CN113139769B CN113139769B (en) | 2023-02-14 |
Family
ID=76813374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110430636.XA Active CN113139769B (en) | 2021-04-21 | 2021-04-21 | Intelligent purchasing scheme recommending method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113139769B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113744024A (en) * | 2021-08-30 | 2021-12-03 | 平安科技（深圳）有限公司 | Merchant matching method and device, computer equipment and storage medium |
| CN113823390A (en) * | 2021-08-29 | 2021-12-21 | 上海舵衔数字科技中心 | Medicine purchasing method |
| CN116563039A (en) * | 2023-07-06 | 2023-08-08 | 山东贝森医院管理咨询有限公司 | Medical insurance management method and system based on DRG/DIP |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100070454A1 (en) * | 2008-09-08 | 2010-03-18 | Hiroyuki Masuda | Apparatus, method and computer program for content recommendation and recording medium |
| WO2014035048A1 (en) * | 2012-08-28 | 2014-03-06 | 에스케이플래닛 주식회사 | Item recommendation system and method |
| US20200380553A1 (en) * | 2019-05-31 | 2020-12-03 | Mastercard International Incorporated | Methods and systems for optimizing configuration of a recommendation platform |
| CN112330411A (en) * | 2020-11-17 | 2021-02-05 | 中国平安财产保险股份有限公司 | Group product recommendation method and device, computer equipment and storage medium |
| WO2021061663A1 (en) * | 2019-09-26 | 2021-04-01 | QMerit, Inc. | System and method providing an improved, automated procurement system using artificial intelligence |
-
2021
- 2021-04-21 CN CN202110430636.XA patent/CN113139769B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100070454A1 (en) * | 2008-09-08 | 2010-03-18 | Hiroyuki Masuda | Apparatus, method and computer program for content recommendation and recording medium |
| WO2014035048A1 (en) * | 2012-08-28 | 2014-03-06 | 에스케이플래닛 주식회사 | Item recommendation system and method |
| US20200380553A1 (en) * | 2019-05-31 | 2020-12-03 | Mastercard International Incorporated | Methods and systems for optimizing configuration of a recommendation platform |
| WO2021061663A1 (en) * | 2019-09-26 | 2021-04-01 | QMerit, Inc. | System and method providing an improved, automated procurement system using artificial intelligence |
| CN112330411A (en) * | 2020-11-17 | 2021-02-05 | 中国平安财产保险股份有限公司 | Group product recommendation method and device, computer equipment and storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113823390A (en) * | 2021-08-29 | 2021-12-21 | 上海舵衔数字科技中心 | Medicine purchasing method |
| CN113823390B (en) * | 2021-08-29 | 2024-03-19 | 上海舵衔数字科技中心 | Medicine purchasing method |
| CN113744024A (en) * | 2021-08-30 | 2021-12-03 | 平安科技（深圳）有限公司 | Merchant matching method and device, computer equipment and storage medium |
| CN113744024B (en) * | 2021-08-30 | 2024-02-02 | 平安科技（深圳）有限公司 | Merchant matching method and device, computer equipment and storage medium |
| CN116563039A (en) * | 2023-07-06 | 2023-08-08 | 山东贝森医院管理咨询有限公司 | Medical insurance management method and system based on DRG/DIP |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113139769B (en) | 2023-02-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113139769B (en) | Intelligent purchasing scheme recommending method and device, computer equipment and storage medium | |
| CN108647993B (en) | Method for identifying relationship between bidders in bidding process | |
| WO2008045613A2 (en) | Diamond valuation method, apparatus and computer readable medium product | |
| KR102307517B1 (en) | Method and apparatus of recommending goods based on network | |
| CN110929764A (en) | Picture auditing method and device, electronic equipment and storage medium | |
| CN110766428A (en) | Data value evaluation system and method | |
| CN113742492A (en) | Insurance scheme generation method and device, electronic equipment and storage medium | |
| CN113345080A (en) | Supplier portrait modeling method and system | |
| CN110956303A (en) | Information prediction method, device, terminal and readable storage medium | |
| CN114997916A (en) | Prediction method, system, electronic device and storage medium of potential user | |
| CN111861679A (en) | Commodity recommendation method based on artificial intelligence | |
| CN112991026A (en) | Commodity recommendation method, system, equipment and computer readable storage medium | |
| CN110633304B (en) | Combined feature screening method, device, computer equipment and storage medium | |
| CN114637842A (en) | Enterprise industry classification method and device, storage medium and electronic equipment | |
| CN109766440B (en) | Method and system for determining default classification information for object text description | |
| CN112330411B (en) | Group product recommendation method, group product recommendation device, computer equipment and storage medium | |
| EP3493082A1 (en) | A method of exploring databases of time-stamped data in order to discover dependencies between the data and predict future trends | |
| CN113688206A (en) | Text recognition-based trend analysis method, device, equipment and medium | |
| CN113869996A (en) | Stepped credit analysis measuring and calculating method, device, equipment and medium | |
| CN114282976A (en) | Supplier recommendation method and device, electronic equipment and medium | |
| CN112016975A (en) | Product screening method and device, computer equipment and readable storage medium | |
| JP2003076919A (en) | Method, server and program for supporting order of commodity | |
| CN111427900A (en) | Label library updating method, device, equipment and readable storage medium | |
| CN117689274B (en) | Intelligent performance accounting method, device, equipment and medium based on supply chain management | |
| KR102242587B1 (en) | Method and server for recommending user customized hs code |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |