118 results about "Purchasing management" patented technology

The invention belongs to the technical field of supply chain management, and discloses an intelligent purchasing system and method of a supply chain. Comprising the steps of collecting demand prediction data and supplier performance data; carrying out deep mining on the demand prediction data, and predicting future purchase demands; generating a capability portrait based on the performance data of the suppliers, and performing quantitative evaluation on performance scores of different suppliers according to a pre-constructed evaluation system; historical order data is acquired, a supplier relation network topology is constructed in combination with the capability portraits, and a synergistic effect between suppliers is identified; fusing the performance score, the future purchase demand and the synergistic effect, and recommending an optimal supplier combination; acquiring purchase management data, and intelligently formulating a purchase strategy in combination with the supplier performance data of the optimal supplier combination; according to the invention, the purchase efficiency can be improved, and the flexibility and toughness of the supply chain are enhanced, so that the overall response speed, cost control capability and operation quality of the supply chain are effectively improved.

The invention discloses a chain drugstore purchasing scheme generation method and system based on big data, and relates to the field of purchasing management. The method comprises the following steps: firstly, collecting historical sales data, real-time inventory data and external environment data, and constructing a multi-dimensional database; performing standardization processing on the data, and constructing a medicine classification matrix through a data mining model; identifying key factors influencing drug requirements by using a causal analysis method, and establishing a requirement influence factor weight matrix; based on the weight matrix, calculating purchase parameters such as a safe inventory level, an economic purchase batch, a purchase trigger point and a purchase period; and finally, in combination with a supplier evaluation system, generating a purchasing scheme including a purchasing medicine list, a purchasing quantity, purchasing time and supplier selection. According to the method, through multi-dimensional data analysis and causal relationship mining, scientization and accuracy of purchasing decision are realized, the purchasing efficiency is improved, and the inventory cost is reduced.

The invention relates to the technical field of medicine purchasing, and provides a hospital easy-to-expire medicine purchasing decision optimization method, which comprises the following steps of: firstly, extracting medicine inventory, consumption records and purchasing management parameters in a hospital information system, and constructing a complete inventory state data set; then, calling a demand prediction model constructed based on a time sequence and external factors, and outputting drug prediction demand values in a plurality of periods in the future; thirdly, constructing a multi-cycle purchase optimization model according to the current inventory and the prediction demand; then, dividing a planning period into rolling windows, and gradually generating an ordering scheme meeting conditions by using a heuristic greedy and local search algorithm; then, the scheme is pushed to a purchase decision-making interface, and a formal order is submitted and generated after the scheme is confirmed by a manager; after a supplier delivers goods and stores the goods, the system updates inventory information and records scrapping and shortage data; and finally, adjusting the model through a feedback mechanism so as to improve the accuracy of subsequent prediction and decision.

The invention relates to the technical field of information, and provides a purchase management method based on an intelligent supply chain management platform, and the method comprises the steps: obtaining material demand data submitted by all departments, carrying out the standardization of the timestamp and demand of the material demand data, and forming standardized data containing an auxiliary classification dimension, a time dimension and a quantity dimension; generating an initial purchase plan table according to the real-time demand data and a preset purchase management rule, and grouping the purchase data in the initial purchase plan table according to a preset grouping rule to obtain a grouped purchase plan table; and obtaining response time prediction data, comparing the response time prediction data with a preset response time threshold value, if the response time prediction data is greater than the threshold value, optimizing the purchasing behavior by adjusting the priority and resource allocation, and determining an optimized purchasing strategy. The standardization, transparency and high efficiency of the purchasing process are realized, and the digital transformation and intelligent upgrading of enterprise purchasing are effectively promoted.

The invention relates to the technical field of bid procurement, in particular to a bid procurement management platform based on artificial intelligence and a processing method. Comprising a multi-source heterogeneous data acquisition module which is configured to be in real-time butt joint with an enterprise ERP system, a supplier database and a third-party credit investigation platform through an API interface; a dynamic weight distribution unit and a time sequence feature extraction unit are arranged in the feature engineering processing module, and the feature engineering processing module is used for carrying out dimension reduction on the historical transaction data of the suppliers; the deep learning matching engine comprises a double-tower neural network architecture based on an attention mechanism and is used for establishing dynamic association between a purchase demand vector and a supplier capability vector; the intelligent decision matrix generation module is used for integrating a fuzzy comprehensive evaluation algorithm and a multi-objective optimization algorithm and outputting a three-dimensional decision space for comprehensive evaluation of suppliers; according to the scheme, the problem that cross-system data formats are incompatible in a traditional technical scheme can be solved.

In a purchase management system using a self-checkout register, pieces of information, which are respectively registered by individual terminal devices, are shared among a plurality of customers. A terminal device capable of acquiring item identification information of each item to be purchased first acquires a cooperation ID. Next, the terminal device shares the information in real time with a cooperative terminal device that is another terminal device and includes the same cooperation ID.

The invention discloses a smart retail purchase management method and system, and the method comprises the steps: obtaining a multi-supplier order / quoted price and a store demand, carrying out the adaptive analysis, cleaning and verification, and generating a standardized purchase and suggestion list; evaluating risks based on rules and models and automatically selecting an approval link; scanning and collecting bar codes / serial numbers / batches / quantity when goods arrive, and storing according to unique association of suppliers, order numbers, codes and batches; after warehousing, carrying out consistency comparison, abnormity early warning, freezing and closed-loop processing on orders, warehousing, invoices and payment; and in the settlement stage, convergent transaction, bank and billing account checking are carried out, and results are written back to supplier and inventory parameters to drive subsequent suggestion and approval threshold adaptive optimization. According to the technical scheme, the data accuracy and compliance are remarkably improved, the approval and checkout cycle is shortened, and the purchase cost and the operation risk are reduced.

The invention relates to the technical field of supplier full life cycle technologies, and provides a supplier full life cycle management method based on multi-dimensional evaluation, which comprises the steps of demand source searching, supplier classification and selection, supplier relationship management, contract management, purchase management, order execution, invoice reconciliation and expenditure analysis. According to the method, a whole-process closed-loop management system from demand source searching to expenditure analysis is established, so that information barriers among links are broken, and seamless circulation and sharing of data are realized; a standardized evaluation model and a classification system are adopted, traditional supplier decision-making depending on subjective experience is converted into scientific decision-making based on quantitative data, and the management efficiency and decision-making accuracy are remarkably improved. By establishing a contract performance early warning mechanism and an abnormal order grading processing flow, full-flow dynamic monitoring of contract risks and execution abnormities is realized; based on the risk assessment matrix and the change influence analysis model, various potential risks can be identified and responded in time.

The invention discloses a material purchasing data processing method and system based on safety risk identification and prediction. The method comprises the following steps: material purchasing data acquisition and preprocessing; material purchasing data feature extraction and optimization; constructing a multi-task learning model; training and optimizing a multi-task learning model; material purchasing data security risk identification and dynamic evaluation; according to the method, multiple risks in material purchasing are predicted based on the multi-task learning model, multi-task learning is optimized through the self-adaptive weighted loss function, the coverage range of risk identification is enlarged, the prediction precision is improved, the accuracy and the real-time performance of material purchasing risk prediction are remarkably improved, and the risk prediction efficiency is improved. And real-time early warning and business strategy suggestions are provided, so that the intelligent level of material purchasing management is improved, the prevention and control capability of enterprises on material purchasing risks is enhanced, and the uncertainty of supply chain operation is reduced.

The invention relates to the technical field of material purchasing management, and particularly discloses a material purchasing process optimization method and system based on deep learning, and the method comprises the steps: firstly constructing a unified data set containing time sequence features and static features through multi-source data collection; secondly, time sequence features are decomposed into trend, period and fluctuation components through the multi-scale decomposition technology, the feature contribution degree is dynamically adjusted in combination with static features, and accurate demand prediction is achieved; establishing a multi-dimensional evaluation matrix to quantify the out-of-stock influence, and dividing the purchase emergency degree into three levels through a decision tree algorithm in combination with a supplier capability evaluation system; constructing a task association network, calculating priority scores through feature propagation and deep fusion, and forming an optimized task sequence; and finally, based on historical approval data, recommending an optimal approval path through multi-dimensional similarity matching, and realizing continuous updating of approval features. According to the invention, intelligent optimization of the whole purchasing process is realized.

The invention belongs to the technical field of purchase management and data processing of power transmission and transformation equipment manufacturing, and particularly relates to a power transmission and transformation equipment manufacturing-oriented purchase order full-process management and control method, equipment and a medium, and the method responds to a login request, and distributes permissions according to matching of a supplier unique identifier and an order manufacturer name. And creating an order containing specific parameters of power transmission and transformation, and transmitting the order to the cloud after verification. The edge end collects acceptance data, carries out edge processing, and transmits key data to the cloud end. The cloud integrates data and calculates indexes, qualified data block chains are stored according to project partitions, and hash chain type association cannot be tampered. And according to material category standard verification, three-level abnormity marking and graded feedback are carried out. And providing query, statistical evaluation and check report generation. According to the invention, edge processing is combined with cloud computing, so that the data processing efficiency and real-time performance are improved. A dynamic quality checking and grading early warning mechanism effectively recognizes and quickly responds to abnormity, and the quality risk is reduced. And the supply chain collaboration level and the overall management efficiency are improved.

The invention discloses a plastic trade scene-oriented cargo purchase-sales-stock data management system, which belongs to the technical field of cargo purchase-sales-stock management and specifically comprises a database, a purchase management module, a sales management module, a stock management and distribution module and an order tracking module. According to the method, a purchase order-inventory real-time binding mechanism is introduced, original inventory data is updated through in-transit inventory data, a traditional inventory is divided into new inventory concepts of available inventory and in-transit inventory, after sales order data is obtained, an inventory locking engine mechanism is called, a binding relation between a sales order and a new inventory is generated, and the new inventory is obtained. According to the method, the locked inventory is determined through matching and locking of the sales order and the inventory, the inventory data is updated again to cancel after verification of the locked inventory, dynamic monitoring and synchronous association of the inventory data, the purchasing data and the sales data are achieved, the inventory management efficiency and the order performance accuracy are effectively improved, and goods are effectively prevented from being oversold and mistakenly sold.

To enable accurate age confirmation even upon customer's purchase through the operation of his or her own portable terminal.SOLUTION: Upon receiving, from a portable terminal, product identification information read from a code provided to a product, a server device creates a purchase product list based on the product identification information received from the portable terminal. When the purchase product list includes any product requiring age confirmation, the server device creates an age confirmation screen and transmits the age confirmation screen to the portable terminal. The server device performs age confirmation based on age confirmation information received from the portable terminal. Upon success in the age confirmation, the server device creates a payment screen based on the purchase product list and transmits the payment screen to the portable terminal. The server device receives payment information from the portable terminal and performs payment processing.SELECTED DRAWING: Figure 9

To enable eat-in target commodities to be extracted from among registered commodities in a purchase management system including a self-checkout machine and enable an eat-in commodity to be selected at any timing.SOLUTION: A server device receives commodity identification information from a portable terminal and generates a purchase commodity list. The server device stores, in association with the commodity identification information, commodity information as to whether or not a commodity is an eat-in target commodity and extracts eat-in target commodities from the purchase commodity list based on the commodity information. The server device then generates an eat-in selection screen on which a selection can be made from among the extracted eat-in target commodities and transmits the eat-in selection screen to the portable terminal. The portable terminal displays the received eat-in selection screen and selects an eat-in commodity from among the eat-in target commodities. The portable terminal then transmits commodity identification information on the eat-in commodity as eat-in information to the server device.SELECTED DRAWING: Figure 15

The application provides a procurement order generation method and device, relates to the technical field of enterprise procurement management, and comprises the following steps: step 1, receiving a demand plan containing material information, analyzing a procurement strategy identifier associated with the material information, determining a procurement strategy type, and the procurement strategy type comprises a main supplier strategy, a lowest price strategy, a performance priority strategy and a procurement cycle priority strategy; step 2, based on the procurement strategy type, obtaining associated supplier data sets, converting each supplier into a point cloud, and each point cloud containing three-dimensional attributes, including a quotation, a performance score and a procurement cycle. The application realizes intelligent matching and checking of suppliers by analyzing the procurement strategy identifier, constructing a three-dimensional point cloud model, dynamically segmenting a strategy decision virtual surface and generating an adjustment value to correct parameters, so that procurement orders can be automatically generated and subsequent processes can be completed, and the procurement efficiency is improved.

The invention relates to the technical field of data analysis, and particularly discloses a purchase life cycle dynamic management system of a modular workflow architecture, comprising: a process design and configuration module for visually defining stages, nodes and association relationships of a purchase full life cycle; an operation execution engine module; an operation component library module; a rule engine module; a team and authority management module; a process monitoring and tracking module; a data storage and integration module; through cooperation of the process design and configuration module, the operation execution engine module, the operation component library module, the rule engine module, the team and authority management module, the process monitoring and tracking module and the data storage and integration module, the system can realize dynamic configuration of a purchase full life cycle through process design and a rule engine; and the process trend can be ensured to be transparent and checkable through process monitoring and data integration linkage, and finally the flexibility and controllability of purchase management are improved.

The application relates to the field of automobile production and manufacturing management, and discloses an automobile production process management method, system, terminal, medium and program, through establishing an automobile production process management framework, the whole automobile production process is sequentially executed according to the management framework, the automobile production process management framework can realize the transparency of the whole production process, an MES main production plan is prepared according to the automobile production process management framework, production scheduling is determined, a production plan is established, scheduling is carried out according to the production plan, the management process can be effectively followed up in time, a business process is designed according to the production scheduling, workshop execution data, procurement management data and warehouse management data are sequentially acquired at a business function layer, and the workshop execution data, the procurement management data and the warehouse management data are stored into an automobile production process management database, automobile production process management work is completed, information interaction in automobile production process management is ensured, and the control over the whole process information is improved.

The application discloses a kind of risk data management systems for cross-border supply chain, belong to risk data management technical field, including raw material procurement management module, product warehousing management module, international logistics transportation management module, domestic warehousing management module, domestic distribution management module, comprehensive data management module.The multiple management modules of the present application are set, the information in cross-border supply chain can be managed in a hierarchical comprehensive, the security of information is guaranteed;And by presetting frequency identification graphics on the outer packaging of product, the product's shipment priority level information can be obtained through subsequent identification, and a more reasonable cargo cell unit is determined according to the product's shipment priority level information to store the product, which greatly reduces the delivery time when delivering, improves the delivery efficiency, to some extent, also reduces the warehousing cost, and also improves the user experience.

The present application provides a hierarchical information deep mining and matching method applied to a procurement service system, which relates to the field of procurement management technology. The method includes: executing data interaction with the procurement service system to establish a multi-source data set; calling a surface information recognition layer to perform data preprocessing and recognition to establish an initial matching candidate library; inputting the preprocessed multi-source data set and the initial matching candidate library into a multi-layer matching channel, configuring the multi-layer matching channel with historical data, performing procurement task matching reconstruction, and generating matching reconstruction results; and performing procurement management based on the matching reconstruction results. This application solves the technical problem in the prior art that it is difficult to accurately identify the best match between procurement tasks and procurement products, resulting in inaccurate procurement decisions, thereby affecting procurement efficiency. Through hierarchical information deep mining and matching, accurate matching of procurement services is performed, thereby improving procurement efficiency.

The invention discloses an enterprise purchase management method and system based on knowledge graph driving, and relates to the field of enterprise purchase, and the method comprises the steps: obtaining an industry purchase knowledge graph, and representing an industry typical purchase structure; based on the basic purchase information, the organization structure, the product composition and the supply chain characteristics of the target enterprise, constructing an initial enterprise purchase atlas; modeling is carried out on the two maps through a graph neural network, and embedded representation of nodes and edges is extracted; and migrating the embedded representation characteristics of the industry atlas to the enterprise atlas by using a migration learning model, aligning the structure and semantic representation space, generating a target enterprise purchase atlas, inputting the embedded representation into a purchase trend prediction model, and outputting a purchase prediction result in a future time window. According to the invention, the problems of purchase graph construction and purchase demand prediction under the condition of less historical data of new enterprises are effectively solved, and the accuracy and efficiency of purchase management are improved.

The present invention belongs to the technical field of supply chain management and discloses an intelligent procurement system and method for a supply chain; the system comprises: collecting demand forecast data and supplier performance data; conducting in-depth mining of demand forecast data to predict future procurement demand; generating capability portraits based on supplier performance data, and conducting quantitative evaluation of the performance scores of different suppliers according to a pre-built evaluation system; obtaining historical order data, and combining the capability portraits to construct a supplier relationship network topology and identify synergy effects between suppliers; integrating performance scores, future procurement demand and synergy effects to recommend an optimal supplier combination; obtaining procurement management data, and combining the supplier performance data of the optimal supplier combination to intelligently formulate procurement strategies; the present invention can not only improve procurement efficiency, but also enhance the flexibility and resilience of the supply chain, thereby effectively improving the overall response speed, cost control capabilities and operational quality of the supply chain.

The invention belongs to the technical field of science, and provides a risk supplier identification and early warning method based on an SAP purchase management system, which realizes the integration of risk information of suppliers by constructing a risk supplier library, avoids the situation that workers need to spend a lot of time to query the information of the suppliers through different channels, and meanwhile, improves the efficiency of risk supplier identification and early warning. The information in the risk database is updated regularly, so that the accuracy of the information is ensured; in the supplier introduction and purchase execution process, the risk information of the supplier is automatically queried through the risk supplier query interface, so that the risk information of the supplier can be obtained more quickly, and the problems that time and labor are wasted and judgment errors possibly occur when a worker queries data and judges the supplier by himself / herself are avoided. The inquired record is recorded in the supplier interface calling log record table, so that the current data can be inquired at any time, the data can be based on the basis, and the situation that what the supplier is not selected at the moment cannot be known is avoided.

The invention relates to a closed-loop purchase management method and system based on secondary bidding and dynamic evaluation, and belongs to the technical field of purchase management. At least three suppliers are screened out from candidate suppliers through competitive negotiation, and value-added service commitments of the suppliers are locked; during actual purchase, the entered supplier performs real-time secondary bidding, and the purchaser selects the optimal price based on the quoted price and the service; afterwards, quantitative ranking is carried out on the performance of the suppliers through a full-period dynamic evaluation system, and last position elimination and automatic position complementing are carried out according to the ranking. According to the invention, through constructing a closed-loop management system of negotiation, secondary bidding, dynamic evaluation and elimination and space complement, refined purchase of price real-time change objects such as air tickets and hotels is realized. The method can effectively stimulate the continuous competition of suppliers, significantly reduce the purchase cost and supporting expenditure, transfer the risks of withdrawing, changing, pick-up and the like to the suppliers, comprehensively improve the service response speed and quality, and enhance the purchase flexibility and the supply chain management efficiency.

To prevent duplicated purchases by users and prevent lack of guaranteed print amounts by displaying a purchase history of print authority of all users to each of the plurality o users using the print apparatus.SOLUTION: A program according to the present invention makes a control part carrying out a step of receiving, through a touch panel 340, a request for purchase of print authority for guaranteeing printing of a predetermined guaranteed print amounts at a multi-function printer 200, a step S5 of acquiring identification information of the multi-function printer 200, a step S10 of identifying the multi-function printer 200 to be processed based on the acquired identification information, a step of S25 of acquiring, from a management server 100, settlement information followed by purchase of print authority for the identified specific multi-function printer 200, a step S30 of displaying, the touch panel 340, only information of a user event management table by the mobile terminal 300, and a step S60 of displaying, among the acquired information, information of all event management table information with respect to mobile terminals 300 of all of the users.SELECTED DRAWING: Figure 8

The present invention discloses a method and system for optimizing procurement efficiency based on artificial intelligence. The method includes data itemized collection, data preprocessing, supply chain relationship modeling, procurement strategy optimization, and procurement efficiency optimization. The present invention relates to the technical field of power fuel procurement management, specifically referring to a method and system for optimizing procurement efficiency based on artificial intelligence. The present invention adopts a comprehensive intelligent method of cross-domain data fusion combined with supply chain modeling and procurement strategy optimization, realizing real-time dynamic optimization of procurement efficiency optimization and management; adopts a dynamically heterogeneous improved graph neural network method for supply chain relationship modeling, optimizing the quantification calculation of supply chain state update and risk conduction, and enhancing the intelligent dimension of procurement efficiency management; adopts a multi-objective reward improved multi-layer strategy reinforcement learning method for procurement strategy optimization.

The objective is to provide portable devices and systems that can effectively promote gaming in amusement parlors. [Solution] In the information system 4000, when the user instructs the information application 4011 to display the first content, the first content-related function 4011a and the first content management unit 4110 cooperate to import and display a specific type of first content that has been purchased in the NFT marketplace 4120 connected to the first content management unit 4110. When the user instructs the information application 4011 to display the second content, the second content-related function 4011b cooperates with the second content purchase management unit 4210 and the second content sales management unit 4220 to control the display of the purchased second content.

To provide a purchase management system which can reduce a burden on an operator and prevent human errors.SOLUTION: The purchase management system comprises an affiliated company-side processing apparatus provided in an affiliated company and having a first storage unit and a parent company-side processing apparatus provided in a parent company and having a second storage unit. The affiliated company-side processing apparatus causes the first storage unit to store therein an ordering condition master in which identification information of the affiliated company, identification information of a product, ordering condition information indicating an ordering condition for the product, and concentrated purchase information indicating whether purchase of the product is an object of concentrated purchase in which an order is placed to a supplier via the parent company or not are associated with each other. In response to input of a product being an object to be ordered, the affiliated company-side processing apparatus determines whether the inputted product is an object of concentrated purchase or not based on the stored ordering condition master and, if it is determined that the inputted product is an object of concentrated purchase, sets an ordering condition for the product on the basis of the ordering condition information in the ordering condition master.SELECTED DRAWING: Figure 2

The utility model provides an office equipment purchasing management platform, and belongs to the technical field of purchasing management. Comprising a bottom table, a protective cover, a display, a protective assembly, a shielding assembly and a groove, the groove is sunken downwards in the upper surface of the bottom table, a keyboard and a mouse are arranged in the groove, and the protective cover is fixedly arranged on the upper surface of the bottom table close to the side; the protection assembly is arranged corresponding to the groove, and the shielding assembly is installed above the protection cover. The shielding assembly comprises sliding blocks and a shielding plate, the sliding blocks are symmetrically arranged on the two sides of the shielding plate, the shielding assembly comprises an outer box, a rolling curtain and a connecting block, the outer box is fixedly connected with the protective cover, and the rolling curtain is rotationally installed in the outer box. Through the arrangement of the protection assembly and the shielding assembly, hardware for purchase management of office equipment such as a displayer and a keyboard and mouse can be protected, the probability that dust adheres to the surfaces of the displayer and the keyboard and mouse can be reduced, the frequency of later cleaning is reduced, the use quality of a purchased computer can be effectively improved, the protection effect is improved, and safety is improved.

The invention discloses a material management system, and the system comprises a user management module which is used for enabling a user to access and log in the system, and distributing the authority of different modules according to different posts of project personnel; the project management module is used for establishing a new engineering project list, and the engineering project list comprises a plurality of sub-engineering projects and engineering material lists under the sub-engineering projects; the budget management module is used for editing the cost of each sub-project according to the project project to generate a project project budget list; the purchase management module is used for inquiring a supplier according to an engineering material list under the sub-engineering project, signing a purchase contract after quotation and performing batch purchase of materials; the inventory management module is used for recording and managing materials purchased in the purchase management module; the reimbursement management module is used for generating reimbursement data according to reimbursement of cost generated by batch purchase of materials, labor cost and mechanical cost; and the maintenance management module is used for recording various problems occurring in project processing after project delivery and data about whether the problems are processed or not.

The invention provides a method for planning and generating downstream receipts based on a quota protocol, and relates to the technical field of enterprise resource planning and purchasing management. The quota agreement comprises providable suppliers of each material in different organizations, a minimum batch, a maximum batch and a price of each supplier, an initial distribution proportion of each supplier and a unique identifier of the quota agreement; creating a purchase plan, wherein the purchase plan comprises purchase organizations, material IDs, the total number of plans and other purchase information; querying and matching quota protocols according to the purchase plan information, and screening out quota protocols meeting conditions; optimizing the allocation proportion of the quota protocol based on Markov decision to obtain an optimized allocation proportion; and associating the purchase plan with a quota protocol, dividing the total quantity of the purchase plan into a plurality of parts according to the optimized distribution proportion, and generating a corresponding downstream document for each divided part.