22 results about "Business documents" patented technology

This invention discloses a real-time assessment method for in-transit inventory costs based on process-oriented tracking and statistics, belonging to the field of logistics cost accounting technology. It aims to solve problems such as lagging in-transit inventory cost accounting, reliance on manual labor, inability to dynamically calculate, and difficulties in full-chain traceability. This invention constitutes a complete solution through layered creation of tracking pools, automatic aggregation based on logistics identifiers, real-time rolling calculation triggered by events, and full-chain aggregation presentation centered on contract numbers. On the one hand, it achieves real-time, automatic, and accurate accounting of in-transit inventory costs through automatic aggregation and rolling calculation of costs throughout the entire process from order to warehousing. On the other hand, through dynamic updates and deep traceability, as well as strengthening the correlation query between contract numbers and accounts payable and business documents, it provides enterprises with unprecedented cost transparency and control capabilities, fundamentally overcoming the core defects of existing technologies.

The application discloses a data alignment procurement optimization method, system, medium and product, and relates to the technical field of data processing.In the method, by obtaining procurement data of a first business system and response data of a second business system, a to-be-aligned record is created in an alignment check table.The system performs consistency check on the response data and the to-be-aligned record, and updates the alignment state after passing.The push permission instruction is generated according to the initial alignment identifier set associated with the procurement business document, and the data packet is sent to the second business system for mapping.The return alignment identifier set in the business result data packet returned by the second business system is received and parsed, and by comparing the consistency of the return alignment identifier set and the initial alignment identifier set, it is determined whether to generate a business result document or to mark the procurement business document as an exception and start a verification process.Implementation of the technical solution provided by the application can improve the efficiency of procurement business data processing.

The application relates to the technical field of information retrieval processing, and discloses an aviation knowledge base question answering method and system based on vector retrieval and a large model, which comprises the following steps: analyzing a business document into rule units to generate rule vectors; receiving a question to generate a question vector; judging whether a query condition satisfies necessary conditions; if the necessary conditions are not satisfied, outputting supplementary question information; if the necessary conditions are satisfied, screening the rule units, performing retrieval, and obtaining recalled rule units; judging whether there is a rule conflict among the recalled rule units; if there is a rule conflict, judging whether there is a substitution relationship or an exception relationship; if there is a substitution relationship or an exception relationship, determining an effective rule unit; if there is no substitution relationship or exception relationship, outputting verification information; if there is no rule conflict, determining the recalled rule units as the effective rule units; generating a question and answer result according to the effective rule units; and outputting a final question and answer result. The application improves the accuracy, pertinence and stability of an aviation knowledge base question and answer result.

The invention discloses a financial reimbursement intelligent auditing system and method based on a large model, and relates to the technical field of informatization. Comprising the following steps: step 1, obtaining audit data through a front-end interface: obtaining an attachment to be audited carrying a bill number, form information and a flow name; 2, extracting attachment information; 3, matching an auditing rule and executing the steps of presetting the auditing rule which covers invoice types, invoice expiration, invoice details and information whether attachment uploading is complete or not; matching preset auditing rules according to the cost items, performing auditing one by one according to the form information and the attachment information, and checking whether the reimbursement receipts meet various rule requirements or not; and 4, generating and storing an auditing report: after the auditing is completed, pushing the business document for manual reauditing, automatically generating the auditing report, the report content comprising problems found in the auditing process, specific conditions conforming to or not conforming to the rules, and translated Chinese file link information, and the auditing result of each rule is displayed in the form of a table.

The application relates to a business document generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring business data of a source system; determining a target field of data synchronization according to metadata of a document field model, and determining a source field corresponding to the target field in each field corresponding to the business data; extracting data corresponding to the source field in the business data, and synchronizing the extracted data into the target field; and generating a business document corresponding to the document field model based on the target field and the data synchronized into the target field. The method can improve the efficiency of generating a business document.

The present disclosure relates to the technical field of data evaluation, and provides a supply chain business file evaluation method and device, electronic equipment and storage medium. The method comprises: performing multi-modal information extraction processing on a supply chain business file to be evaluated to obtain structured text, structured data and image feature information; performing multi-dimensional compliance analysis processing on the three to obtain a clause completeness evaluation value, a contract risk evaluation value, a technical parameter clarity evaluation value and a graphic-text consistency evaluation value; performing weighted quantification processing on the clause completeness evaluation value, the contract risk evaluation value, the technical parameter clarity evaluation value and the graphic-text consistency evaluation value based on a preset weight value to obtain a target evaluation value; and performing evaluation suggestion generation processing based on the target evaluation value and a preset evaluation threshold to obtain an evaluation suggestion text, thereby enhancing the forward-looking and accuracy of risk identification, improving the objectivity and traceability of the evaluation result, and enhancing the consistency of multi-modal information processing.

The application discloses an intelligent customer service knowledge base automatic updating method based on a large language model, relates to the technical field of knowledge base management, and comprises the following steps: collecting multi-source business documents and conversation data, cleaning and merging the multi-source business documents and conversation data, calling a large language model to extract candidate items and bind evidence fingerprints; performing consistency comparison and change type determination on the candidate items and knowledge base items, generating and solidifying a difference abstract; generating a semantic patch according to the difference abstract, writing into a shadow partition, completing consistency verification, atomically switching into effect, and synchronously updating an inverted index view and a vector index view of the intelligent customer service knowledge base and recording a version mark; performing online verification on conversation data statistical results according to the version mark, rolling back to a state before the version mark when an exception occurs, confirming the semantic patch and continuously acting on the intelligent customer service knowledge base when normal, and reducing release risks and improving knowledge reliability and auditability.

To provide a system. 【Solution means】 Means for providing an information reception device for a user to input project information, Means for storing the input project information in a storage device and performing collation, Means for automatically generating business documents using a template based on the stored information, Means for searching past business data and extracting similar examples, Means for generating an analysis report by combining current business information and past business knowledge, Means for providing the generated documents and reports to the user, Means for enabling information input at the site and confirmation of automatically generated documents using a portable information terminal, Means for analyzing past business data using a machine learning model and providing useful knowledge related to current business, Means for outputting information and presenting an analysis report via a human operation device, A system including the above.

This invention discloses a mobile-first, cross-platform collaborative, lightweight accounting and bookkeeping system and method, belonging to the field of financial data processing and cross-platform collaboration technology. The system includes a mobile input terminal, a PC-based accounting management terminal, and a cloud-based collaborative service platform. The mobile terminal integrates simple document input, invoice image uploading, offline caching storage, and mobile approval modules; the PC terminal provides document review, intelligent voucher generation, ledger query, period-end processing, and hierarchical permission control; the cloud-based platform is equipped with a real-time bidirectional synchronization engine, a data conflict avoidance unit, and an accounting subject rule base. This invention resolves cross-platform data conflicts through an edit-locking mechanism, achieves offline operation capabilities through offline caching and incremental synchronization, and automatically generates compliant accounting vouchers from business documents, realizing mobile-first, real-time cross-platform collaboration, and automated accounting processing, significantly reducing the threshold and cost of enterprise bookkeeping.

The application discloses a kind of general data exchange systems based on configurable label structure, it is related to the technical field of data processing and information integration, including parameter module for establishing the identity authentication mechanism of exchange party;Business document module is used to establish data structure definition based on preset exchange demand;Document logic module is used for logical analysis and code decoupling to data structure definition, generates tokenization language script code and execution instruction, constructs execution matrix, realizes the mapping of database physical field and memory logic variable;Standard adaptation module is used to compare and check the generated data content, and the verification result is fed back to the parameter module to correct the exchange rule and parameter configuration.The application implements more intelligent logic separation strategy through structured insight, cooperatively controls data reading, writing and transmission, and realizes complete decoupling of business logic and program code using nested label structure, optimizes the flexibility, universality and maintenance efficiency of data exchange.

The application belongs to the technical field of big data processing and policy declaration auxiliary management, and discloses a policy declaration auxiliary management system based on financial data linkage analysis, which comprises a data processing server and a storage device; the data processing server acquires original records in a financial system, a tax declaration system, a project management system and a business document system, carries out subject identification unification, period identification unification and field standardization processing, generates a business matter identification according to a preset association key, forms an association record set, carries out consistency check, declaration field value determination, difference record generation and change reprocessing according to a declaration rule library and a field mapping table, and forms a declaration result data set. The system is used for improving the accuracy and traceability of the declaration field value determination.

The application relates to the technical field of conversational business intelligence data processing, and discloses a method and device for extracting and checking consistency of unstructured documents. The method comprises the following steps: obtaining an unstructured business document, identifying a business logic intention, and dividing the document into a plurality of semantic blocks which are semantically complete based on corresponding semantic boundaries; performing structured mapping processing on each semantic block to generate structured experience data comprising business rule expression information; generating experience representation according to the structured experience data, and retrieving candidate experience from a stock experience library; in the case of retrieving the candidate experience, performing consistency checking on the structured experience data and the candidate experience based on the business rule expression information; and performing storage control on the structured experience data according to the consistency checking result. The application can reduce rule conflicts and inconsistent problems caused by directly storing unstructured business experience.

The application provides a multi-channel payment reconciliation exception positioning method and system and electronic equipment, relates to the information processing technical field of reconciliation systems, and the method first acquires flow data of a multi-channel payment platform and maps the flow data into a target transaction model, and simultaneously constructs an internal business document chain based on a payment instruction, an accounting voucher and a document state; then, a matching operation is performed, and target transaction pairs that fail to match or have inconsistent amounts are screened out; for each target transaction pair, the processing state of the transaction in different systems is extracted from multiple heterogeneous information systems, and a multi-source state combination is generated; finally, exception positioning is performed according to a predefined state combination logic table, and specific links in which exceptions occur are accurately output. The application significantly improves the exception positioning accuracy and interpretability, greatly reduces the manual troubleshooting cost, and realizes a substantial breakthrough from amount inconsistency to link mismatch.

The application provides an engineering digital work order data automatic auditing method and system, relates to the technical field of data processing, and comprises the following steps: configuring a business auditing rule for an engineering digital work order which is structured and split, and generating a business rule account through an aggregation mechanism; extracting an atomized identification item and an atomized mapping item in the business rule account, and respectively associating the atomized identification items with the input parameters of a conditional topology structure to construct a system rule; combining the atomized mapping items to configure a data verification rule for the system rule, determining a rule execution path and a rule trace path of the system rule according to the data verification rule; determining an abnormal business document according to the business rule account by calling the rule execution path, and determining an abnormal atomized identification item corresponding to the abnormal business document according to the rule trace path. The application realizes automatic auditing and accurate positioning of complex work order data, and improves the accuracy and efficiency of engineering auditing.

This application provides a method and system for building agile applications that support data fusion and intelligent process review, relating to the field of intelligent document review technology. The method includes: determining the digital template corresponding to the business document, the digital template being determined based on the infrared transmission image inside the paper and the visible content; then performing deep semantic analysis on the digital template to construct logical reasoning paths for the extracted key business elements to derive intermediate conclusions; then using the intermediate conclusions as reasoning nodes and adding link identifiers based on logical associations to construct a logical network graph; finally, inputting the logical network graph into a review process instance, generating structured review conclusions and natural language review conclusions at the current review node, encapsulating the two types of conclusions as node review opinions to drive the process to the next node, until an executable application instance is output. This application improves the accuracy and automation of unstructured document review.

The present disclosure relates to the technical field of data evaluation, and provides a business file evaluation method and device, electronic equipment and readable storage medium. The method comprises: performing multi-modal analysis processing on a to-be-evaluated business file to obtain structured text; performing information extraction processing on the structured text to obtain file element data; performing multi-dimensional feature analysis processing on the file element data to obtain element evaluation value, compliance evaluation value, semantic evaluation value and parity evaluation value; performing weighting processing on the element evaluation value, compliance evaluation value, semantic evaluation value and parity evaluation value based on a preset weight value to obtain a target evaluation value; and performing text generation processing on the to-be-evaluated business file based on the target evaluation value and a preset evaluation threshold to obtain a target evaluation report. Thus, the review efficiency of business file evaluation is improved, the comprehensiveness of risk identification is enhanced, the consistency of evaluation results is improved, and the professionalism of business file revision is optimized.

This invention relates to the field of test and debugging process management technology, and provides a deep learning-optimized method for approving debugging and testing processes. The method includes the following steps: obtaining the report content and associated business information of the debugging and testing report to be approved, generating business approval and classification information; classifying the debugging and testing report and managing the pricing of miscellaneous business transactions according to the business approval and classification information; reviewing the debugging and testing report through a multi-level review process, automatically embedding electronic signatures during the review process; synchronizing the status of the completed debugging and testing report with associated production business documents and triggering downstream business processes; archiving the finally approved debugging and testing report and its entire process operation log to an electronic ledger system, and establishing an index supporting multi-dimensional combined retrieval. This invention enables automated triggering, standardized output, cross-system linkage, and structured archiving of the approval process.

The application discloses an ERP system intelligent reminding method and system based on process state identification, relates to the technical field of enterprise information management and process intelligent control, and is used for solving the problems of inaccurate state identification, lagging and extensive reminding, easy shielding of key blocking tasks and insufficient closed-loop management in an ERP business process; by establishing process node rules and state field mapping relations, the current process node, node state, responsible object, entering time and overtime of a business document are identified; on the basis, a to-be-reminded task list is generated, a reminding plan is dynamically generated in combination with a task stay duration, an emergency degree, a node propagation amount, a state fluctuation amount, an over-limit expansion amount and a shielding correction amount, and reminding delivery, upgrade processing, state review and closed-loop management are completed, so that the ERP process tracking, reminding accuracy and business processing efficiency are improved.

The method, apparatus, storage medium, and computer equipment for generating event tracking information provided in this application, upon receiving an information generation instruction, acquire test logs and associated event tracking business documents, avoiding the tedious process of manual multi-source queries. Then, the test logs are parsed to extract basic event tracking information and parameter fields. Using a pre-defined event tracking analysis model, the extracted basic event tracking information and parameter fields are searched and matched within the associated event tracking business documents to obtain supplementary event tracking information, effectively solving the problems of information inconsistency and omission. Finally, by structurally integrating the basic event tracking information, parameter fields, and supplementary event tracking information, complete and standardized event tracking definition data is formed and stored in a unified management system, establishing a single, reliable data source, thereby improving the efficiency of subsequent data analysis and the reliability of conclusions.