177 results about "Purchase order" patented technology

The invention relates to the technical field of smart factory management platforms, and discloses a data real-time monitoring method based on a smart factory management platform system, and the method comprises the steps: carrying out the standard format conversion of supplier Excel data, carrier GPS track data flow and warehouse RFID goods location data in a smart factory ERP system, and obtaining standardized business data; calculating comprehensive scores of suppliers based on the standardized business data and generating a dynamic sorting list; receiving purchase order information and creating a logistics scheduling plan, and pre-allocating an optimal goods allocation for the warehousing commodities to obtain a warehousing pre-allocation scheme; monitoring the execution progress of the storage pre-distribution scheme in real time, and synchronously updating service state information; the auditing state of the purchase order information is monitored based on the service state information, and an intelligent collaborative decision-making scheme is generated, real-time synchronous updating of the service states of the supplier management module, the logistics scheduling module and the warehouse management module is ensured, and the supply chain collaborative management efficiency is improved.

The invention discloses a multi-source data fusion accounting method for a full-life-cycle carbon footprint, and belongs to the technical field of carbon footprint accounting, and the method specifically comprises the steps: inputting a purchase order number set of a target product, and automatically associating a logistics fuel consumption record, a production process energy consumption log and a supplier indirect emission declaration form according to the purchase order number; constructing a dynamic traceability tree taking a purchase order as a root node, and generating a trunk path through matching of an order material code and a workpiece batch number of a process energy consumption log; when the difference between the logistics real-time energy consumption data and the supplier declaration form exceeds a set threshold value, activating a dispute data branch reconstruction algorithm, and creating parallel branches to temporarily replace dispute data segments while keeping trunk continuity; finally, outputting a full-life-cycle carbon footprint data graph with dispute marks, and reserving original association paths of all data sources; according to the invention, reliable support is provided for accurately tracing the full-life-cycle carbon emission of the product and improving the carbon footprint accounting quality.

The invention relates to the technical field of electronic shopping, in particular to a garment matching customization management system and method.The method comprises the steps that firstly, the body size, personal characteristics, social attributes, historical behaviors and target dressing occasion data of a user are collected, and real-time interaction feedback is fused to generate a dynamic multi-dimensional user portrait vector; inputting the design parameters into a pre-trained personalized matching generation model to generate a personalized matching scheme containing the design parameters; a virtual fitting effect picture is rendered through three-dimensional modeling, and a user is supported to adjust in real time and confirm a final scheme; and finally, analyzing the scheme to generate a customization demand list, distinguishing finished product items from customization items, intelligently matching a target supplier based on a supplier capability matrix, and issuing a purchase order or a customization production task list. And the system realizes full-process automation. According to the invention, matching precision and user experience are improved, supply and demand cooperation efficiency is optimized, personalized and standardized demands are adapted, and accurate, personalized and comfortable experience is provided for online clothes purchasing of the user.

The invention discloses a clothing supply chain transparent purchasing and collaborative management method and system based on the Internet of Things and a block chain. The method comprises the following steps: monitoring and collecting state data of raw materials in real time through Internet of Things equipment; when the state data meets a preset purchase triggering condition, a purchase demand transaction is automatically generated and broadcasted on the alliance block chain network; a purchase smart contract deployed on the alliance block chain network responds to the purchase demand, screens candidate suppliers, and quantitatively scores the candidate suppliers based on multi-dimensional historical performance data obtained from a distributed account book to automatically determine a target supplier; the purchase smart contract automatically generates a purchase order transaction and performs consensus evidence storage on the alliance block chain network; and continuously tracking order state update on the alliance block chain network, and automatically executing a settlement process when a preset payment condition is satisfied. According to the invention, the problems of opaque information, lagging purchasing decision, low process efficiency and difficulty in multi-party collaboration of the traditional clothing supply chain are solved.

The invention belongs to the technical field of office material intelligent collection systems, and particularly relates to an automatic matching office material intelligent collection system which comprises a layered framework, an automatic matching core algorithm module and an intelligent decision support module. The layered architecture comprises a user interface layer, a business logic layer and a data layer, and the layers cooperate with each other; the user interface layer receives a user operation instruction and purchase demand information, and presents a system processing result; the business logic layer receives a request of the user interface layer, executes business logic processing of purchase demand auditing, supplier screening and matching, purchase order generation and tracking and contract management, and calls a data layer interface to obtain or store data; the data layer is used for storing various data required by system operation and providing data support for the business logic layer; and the automatic matching core algorithm module is based on big data analysis and machine learning technologies, realizes accurate matching of purchase demands and supplier information, and generates a supplier recommendation list.

The invention relates to the technical field of data processing, in particular to an invoicing, accounting and tax declaration method and system for a supply chain, and the method comprises the following steps: obtaining original data, including purchase order, customs declaration and invoice information, generated in each business link of the supply chain, and synchronizing the original data to a financial data center through a system interface for standardization processing; classifying the standardized data based on a preset rule, generating a to-be-processed receivable bill and a to-be-processed payable bill, and associating corresponding business records; comparing the purchase order, the acceptance record and the invoice information, generating an account checking difference report, and pushing the account checking difference report to a related service terminal; updating the account period state according to the account checking result; extracting tax refund elements in the customs declaration, generating a tax refund application, and tracking an auditing progress until the tax refund application arrives at an account and is filed; the method automatically synchronizes data of links such as customs affair and storage through a system interface and performs standardization processing, solves the problem of lagging of manual data collection, and improves the data synchronization efficiency.

The invention relates to the technical field of cloud services, in particular to a purchase quotation method and system based on clustering and association rules, and the method comprises the following steps: collecting historical purchase order data of internal products of an enterprise and external related market data, the historical purchase order data comprising product description; carrying out cleaning and standardized preprocessing on the collected data; the method has the advantages that through clustering based on product description, products such as servers and switches with different descriptions but similar essence are sorted and classified, data chaos caused by description differences is eliminated, and association rules mined on the basis are more targeted. Compared with a procurement quotation mode purely depending on experience, the procurement quotation method has the advantages that the procurement quotation accuracy is greatly improved, an enterprise can purchase required products at a more reasonable price, and cost waste caused by price judgment errors is avoided.

The invention provides a virtual machine resource opening method and system combined with multi-modal risk assessment in the technical field of virtual machine management, and the method comprises the steps: S1, creating an order semantic recognition model, a risk assessment model and a resource dynamic distribution model, and carrying out the training and deployment; s2, collecting and calculating resource data and constructing a resource thermodynamic diagram; s3, obtaining a real-time virtual machine purchase order, performing verification and analysis to obtain order content and a user account, and obtaining real-time multi-modal data based on the user account; s4, inputting the order content into the order semantic recognition model to obtain a configuration demand, and inputting the real-time multi-modal data into the risk assessment model to obtain a risk assessment result; and S5, based on the risk assessment result, the configuration demand and the resource thermodynamic diagram, calling a resource dynamic allocation model to execute resource allocation. The method has the advantages that the virtual machine resource opening efficiency, the resource utilization rate and the safety are greatly improved.

The embodiment of the invention provides a purchase order generation method, an e-commerce platform, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: in response to an order placing entrance function message received by a first user in an order communication session between the first user and a second user, displaying the order placing entrance function message to the first user on a session interface of the order communication session so as to prompt the first user to automatically generate a purchase order based on a session record of the order communication session; in response to the triggering of the ordering entrance function message, obtaining order information associated with the ordering entrance function message, and displaying the order information to the first user; and in response to an order placing operation executed for the order information, submitting an order placing request to a preset server side, and triggering the server side to generate a purchase order and an electronic bus account associated with the purchase order based on the order information. According to the method, by improving the purchase order generation process, the order generation efficiency is improved, and the order placing operation is more convenient.

The invention belongs to the technical field of data processing. The invention provides a complete-set material management and control method and system and computer equipment, and the method comprises the steps: building a bidirectional correlation index of a suite and subitems, and carrying out the correlation display of the to-be-purchased suite and the subitems according to the bidirectional correlation index when a suite purchasing application is received; according to received purchase order arrival information, generating arrival traceability codes of arrival subitems; according to a received suite receiving application, determining subitems of the suite according to the bidirectional association index, and according to traceability codes of the determined subitems and an approved receiving application form, determining a to-be-delivered suite and updating a suite inventory; and when a sub-item receiving application is received, according to the arrival traceability code of the sub-item and the approved receiving application form, determining the sub-item to be delivered and updating the sub-item inventory at the same time, and according to the bidirectional association index and the updated sub-item inventory, updating the kit inventory, thereby improving the inventory utilization efficiency and the receiving accuracy.

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.

Systems and methods for handling supply chain certificates are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor. The memory may store program instructions that, upon execution, cause the IHS to receive a message from a supplier identifying a device. The IHS may verify the device against a Purchase Order (PO) database of an Original Equipment Manufacturer (OEM) and may send encrypted material to the supplier. The supplier may generate a Certificate Signing Request (CSR) for the device comprising the encrypted material. The supplier may receive a digital certificate in response to the CSR and stores the certificate in the device. The system may ensure the authenticity and quality of components throughout the supply chain using cryptographic techniques.

The invention relates to a personalized commodity recommendation method, a personalized commodity recommendation device, personalized commodity recommendation equipment and a personalized commodity recommendation medium in the technical field of e-commerce. Determining user preference score distribution and re-purchase trend score distribution of a plurality of target categories accessed by the user in the independent stations; based on historical purchase orders and historical conversion paths of all users in the independent station, correspondingly determining co-purchase relation score distribution and conversion relation score distribution of the multiple target categories; the user preference score distribution, the re-purchase trend score distribution, the co-purchase relationship score distribution and the conversion relationship score distribution are weighted and fused into category interest score distribution; and determining recommended commodities pushed to the user based on the category interest score distribution. According to the invention, accurate personalized commodity recommendation is realized, and the user satisfaction is improved.

The invention relates to the technical field of industrial cloud platforms, in particular to a retail system and method for a decentralized supply chain of a community store, and the method comprises the steps: receiving a user order through a data interaction module; the store management module starts a collaborative bidding process, converts an order into a demand packet, broadcasts the demand packet to a supplier, intelligently selects the supplier by using a built-in deep game theory algorithm, and automatically generates a purchase order; after receiving the purchase order, the supplier management module constructs an enhanced mixed integer programming model to perform optimal path planning so as to minimize the total driving distance and the total delivery time; the operator management module compiles the profit sharing rule into an intelligent contract, verifies the authenticity of cost data by using a zero-knowledge proof technology, and realizes decentralized profit sharing calculation and settlement; and the logistics management module completes delivery to the store according to the planned optimal path. According to the invention, retail management is realized through the decentralized supply chain.

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 discloses a medical consumable management system and method, and relates to the field of medical consumable management, and the system comprises a basic data management module which maintains medical consumable management attributes including material codes of medical consumables; the material codes are in one-to-one correspondence with the charge codes of the hospital HIS system, and are applied to each link; the warehousing management module carries out acceptance check and warehousing on the medical consumables accepted and delivered by scanning bar codes on the delivery lists; the ex-warehouse management module sends the medical consumables with the stock and the ex-warehouse singly to the demanding department according to the demand order provided by each department, and converts the medical consumables without the stock into a purchase order; in the inventory management module, various medical consumables of a hospital are stored in a first-level library of a general hospital library, and various medical consumables received by a department from the first-level library of the general hospital library are stored in a second-level library of a department; and the department management module is used for monitoring the inventory state of the second-level library of the department and creating a demand order. According to the invention, the probability of charging errors is reduced, and the management effect is improved.

The application discloses a kind of intelligent material demand calculation method and electronic equipment, belong to intelligent manufacturing and supply chain management technical field, comprising: obtaining initial data, using multiple rule cleaning engine to the initial data is handled, obtains input data;Based on order delivery date, the processing cycle of each process of target product and corresponding yield, equipment capacity load factor determine the latest start date of each process;Based on the demand quantity of target product, the unit consumption of material and the cumulative yield from the first process to the current process, calculate the actual BOM demand of each process to material;Based on the actual BOM demand of each process to material is adjusted, obtains the purchase demand of each process to material;Determine total available inventory, the total available inventory is distributed to actual purchase demand;Determine the date of purchase order suggestion and carry out multi-objective optimization.The method significantly improves the planning accuracy, inventory efficiency and computing performance.

A computer-implemented method includes receiving, by a computer system, data indicating a user has acquired a cryptographic digital asset representing an article of footwear or apparel; responsive to receiving the data, granting the user authorization to produce up to a predetermined number of physical units of the article of footwear or apparel represented by the cryptographic digital asset; receiving, by the computer system via an electronic order portal, a purchase order from the user to produce a specified quantity, up to the predetermined number, of the physical units according to the authorization; and fulfilling, by the computer system, the purchase order to provide the specified quantity of physical units to the user.

The invention relates to a data analysis method based on a supply chain, in particular to the technical field of business management, and the method comprises the following steps: S1, collecting supply chain data from an internal system and an external source, the internal data comprising a production plan, a production schedule, an inventory level, a purchase order and a sales record, the external data comprises logistics transportation information, market demand indexes, consumer behavior characteristics, meteorological monitoring data, road traffic flow and policy and regulation change information; according to the invention, by establishing a multi-source data access channel, data of an ERP system, an MES system, a WMS system, an external data platform and an Internet of Things device are uniformly collected, and historical data and real-time data are combined to construct a multi-dimensional time sequence database, so that complete acquisition and structured storage of supply chain global information are realized; and the comprehensiveness and accuracy of data input are ensured.

This invention discloses a multi-source data fusion accounting method for the entire life cycle carbon footprint, belonging to the field of carbon footprint accounting technology. Specifically, it includes: inputting a set of purchase order numbers for the target product; automatically associating logistics fuel consumption records, production process energy consumption logs, and supplier indirect emission declaration forms based on the purchase order numbers; constructing a dynamic traceability tree with the purchase order as the root node; generating a main path by matching the order material code with the workpiece batch number in the process energy consumption log; when the difference between the real-time logistics energy consumption data and the supplier declaration form exceeds a set threshold, activating a disputed data branch reconstruction algorithm to maintain the continuity of the main path while creating parallel branches to temporarily replace the disputed data segments; finally, outputting a full life cycle carbon footprint data map with dispute markers, retaining the original association paths of all data sources. This invention provides reliable support for accurately tracing the carbon emissions throughout the entire product life cycle and improving the quality of carbon footprint accounting.

A packaging system to pack objects in boxes includes a supply station to supply objects of a purchase order batch, an insertion station to insert in a box a specific batch picked up from the supply station, a closing station to close the box, a storage unit configured to house a respective group of folded and flattened boxes, a forming apparatus configured to carry out both an automatic pick-up of a corresponding folded and flattened box from the storage unit, and also a subsequent automatic forming of the box starting from the picked-up folded and flattened box. The forming apparatus includes a first pick-up device and a second pick-up device respectively slidably mounted on the storage unit to slide along a respective linear path, the first pick-up device remaining in a shared transfer space when it moves the folded and flattened box.

A non-transitory computer readable storage medium has instructions executed by a processor to access a purchase order data set. An invoice data set is ingested. Tuples of purchase order line-items from the purchase order data set are gathered. Tuples of invoice line-items from the invoice data set are formed. Positive training samples are created, where each positive training sample comprises a selected purchase order line-item and a corresponding invoice line-item. Negative training samples are formed, where each negative training sample comprises a fabricated purchase order line-item and a corresponding invoice line-item. A machine learning model is trained with the positive training samples and the negative training samples to form a trained purchase order machine learning model. An accounts payable invoice is received. The trained purchase order machine learning model is used to match an accounts payable invoice line-item to a purchase order line-item.

The present disclosure relates to a computer-implemented method for managing purchase orders for building and real estate industries, comprising: identifying sensitive data in the purchase order; the sensitive data is encrypted; receiving a uniform content identifier (CID) for identifying the encrypted sensitive data; constructing metadata based on the CID, wherein the metadata comprises the CID and other data in the purchase order; receiving a purchase order non-homogeneous token PONFT generated based on the metadata; and transmitting the PONFT to each party involved in the purchase order. Compared with a comprehensive digital solution which needs to consume huge cost investment, the method has the advantage of low cost. Meanwhile, sensitive data in the purchase order in the building and real estate industries can be protected, the security of purchase order management is enhanced, and tampering of relevant information of the purchase order is prevented.

The utility model discloses a cotton quality traceability data acquisition terminal for seed cotton selling, which relates to the technical field of cotton quality traceability and comprises an RFID (radio frequency identification) reader-writer, a purchasing system, a storage system and an industrial personal computer. The RFID reader-writer comprises an antenna and a reader-writer body. The antenna is arranged above the parking position and used for scanning the RFID chip of the vehicle-mounted seed cotton and transmitting scanning data to the reader-writer body. And the reader-writer body is used for decoding the received scanning data to obtain traceability data. The purchasing system is used for generating a purchasing order number corresponding to the vehicle-mounted seed cotton. The industrial personal computer is electrically connected with the reader-writer body, the purchasing system and the storage system and used for receiving the traceability data and the purchasing order number, uploading the traceability data and the purchasing order number to the storage system after the traceability data and the purchasing order number are associated, and uploading the traceability data to the purchasing system. Compared with the prior art, the acquisition terminal solves the corresponding problems existing in traceability by pasting traceability codes.

The invention relates to the technical field of sales counter settlement systems, in particular to a Saas sales counter settlement system based on facial recognition, which comprises an account generation unit for creating personal payment accounts for different users and binding a group of login accounts and login passwords; the account binding unit is used for carrying out frame extraction processing on the basis of the shopping video when the user uses for the first time to obtain a plurality of images, and screening to obtain a preferred image; identifying a facial triangular area in the preferred image, abstracting to obtain a facial feature data set, and binding the facial feature data set with a personal payment account; the short code construction unit is used for generating a basic short code based on the purchase order after each shopping settlement, combining the basic short code with the user login password to construct a one-time verification short code, and binding the one-time verification short code with a corresponding login account; and the account quick login unit is used for automatically inputting a corresponding login account based on the user facial feature data set, checking the one-time checking short code and then allowing to log in a corresponding personal payment account.

The invention discloses an intelligent storage and transportation management system for oil product transportation and allocation, and belongs to the technical field of oil product storage and transportation management. In order to solve the problem that an existing intelligent storage and transportation management system is low in working efficiency, goods picking appointments including goods picking types, goods picking numbers and goods picking time are performed on a sales platform through a purchase order generation module, and purchaser information is also collected; comprising information of vehicles including license plate numbers, vehicle types and vehicle specifications, the collected information is transmitted to a data processing center, is bundled and packaged and is made into a purchaser information packet, subsequent corresponding searching is facilitated, the information is transmitted to an IC card, and the information is stored in the IC card. And direct card swiping for use in subsequent operation is facilitated, in the loading process, loading is started through one key, automatic oil product loading operation is achieved, and the loading efficiency is improved.

The invention provides an intelligent wisdom plan management method and system, and belongs to the technical field of industrial automation, the method is applied to intelligent plan management equipment, and the intelligent plan management equipment comprises an intelligent storage box, production equipment and a controller; the intelligent storage box is used for storing and providing consumables for the production equipment; the production equipment further comprises a dosage monitor; the controller performs data interaction with the intelligent storage box and the production equipment; the method is executed by a controller. The method comprises the following steps: acquiring consumable consumption of production equipment in real time based on a consumption monitor; when the consumption of the consumables reaches a preset scrapping threshold value, the consumables are recorded as scrapped consumables; replacement is carried out through the intelligent storage box based on the number of the scrapped consumables; the inventory state information of the consumables is obtained in real time through the intelligent storage box; and based on the inventory state information, a purchase order is automatically calculated and generated according to a preset purchase cycle threshold value for automatic purchase. According to the method, the situations of unplanned production halt, storage waste and the like can be reduced.

Disclosed herein are systems and associated methods for selling mobile phones and / or other used electronic devices. In some embodiments, the systems and methods can automatically allocate electronic devices (e.g., mobile phones) to a group of potential buyers. To allocate the electronic devices, the system aggregates all bids received from potential buyers and pre-negotiated prices established through purchase orders (POs). The system selects PO buyers / bidders from the group of potential buyers and allocates electronic devices to selected PO buyers / bidders by identifying opportunities for increasing revenue. To increase revenue, the system can consider, among other things, a buyer's budget constraints that were input along with their bids to determine each buyer's purchasing capacity and preferences. Additionally, if a PO buyer has committed to purchasing a certain quantity of devices at a predetermined price, the system may offer preferential treatment by prioritizing fulfilling the PO buyer's commitment before allocating additional electronic devices through the sale.