365 results about "Invoice" patented technology

The embodiment of the invention discloses a business receipt and invoice data matching method and system, and the method comprises the following steps: accessing original business receipt data and invoice data from a plurality of heterogeneous data sources through a uniform interface, and carrying out the data cleaning according to preset mapping, merging, splitting and conversion rules, generating a standardized matching flow order; adopting streaming data loading and a Worker parallel computing mechanism to carry out multi-dimensional matching on business receipt and invoice data in the standardized flow bill, and generating a relation matrix representing a corresponding relation between the receipt and the invoice based on a matching result; and automatically checking the relation matrix by calling a rule engine and a machine learning model, marking the matching result of the business document and the invoice which are checked to be abnormal, pushing the matching result to manual auditing, and feeding back the manual auditing result to a knowledge base to optimize the subsequent matching and checking rule. According to the embodiment of the invention, the matching efficiency of the business document and the invoice data and the accuracy of the matching result can be improved.

The invention provides an automatic reconciliation method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the data preprocessing of a to-be-reconciliated collection / payment voucher and bill, and obtaining a collection / payment voucher set and a to-be-matched bill set which are uniform in format and are normalized in transaction main body; based on a preset first matching condition, performing one-to-one initial matching on the receipt / payment voucher set and the to-be-matched bill set; in response to initial matching failure, expanding the first matching condition to generate a second matching condition; based on a second matching condition, performing one-to-one re-matching on the receipt / payment voucher set and the to-be-matched bill set to obtain a candidate matching pair set; based on a pre-trained confidence evaluation model, evaluating the matching confidence of each candidate matching pair in the candidate matching pair set; and when the matching confidence of the candidate matching pair is greater than a first preset confidence threshold, triggering an automatic entry operation. The account checking efficiency and success rate are improved.

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 discloses a cross-border supply chain financial service exit data AI automatic comparison system based on an RPA technology, and the system comprises a data collection module which automatically logs in an electronic port system through the RPA technology and captures exit related data; the document analysis module is used for automatically extracting semi-structured feature information in an unstructured file according to the data acquired by the data acquisition module, and standardizing the semi-structured feature information into a uniform format for subsequent comparison; the AI comparison module is used for intelligently comparing structured and unstructured information through a natural language processing and semantic understanding technology; the rule engine module is used for identifying risk points including field inconsistency, abnormal amount and unmatched terms according to a preset rule; and the risk early warning module is used for automatically generating an audit report and an early warning prompt according to the comparison result. Natural language processing and image recognition technologies are introduced, automatic alignment and comparison with information of receipts such as contracts / orders, waybills and packing lists are achieved, potential abnormity is found, risk early warning is formed, and the problem that in the prior art, deep comparison and automatic processing of semantic content are lacked is solved. And effective linkage with external data sources such as an electronic port system is not formed, so that trade authenticity auditing lags behind, and large operation risks exist.

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 financial flow situation awareness system and method based on a multi-modal large model, and relates to the technical field of supply chain financial risk control. Aiming at the problems of data isolation, high processing delay and risk perception lagging in the existing storage pledge financing scene, the method comprises the following steps: obtaining a storage digital planar graph, dividing logic sub-regions, collecting and processing multi-source data of each sub-region in parallel, and extracting pledge stock time sequence data and warehouse receipt information by utilizing a visual and text model respectively; constructing a sub-region association map by taking the cargo identifier as a node and fusing the fund flow; and fusing all the sub-maps to construct a global association map, performing cross-regional consistency verification and anomaly recognition, generating a dynamic risk judgment result, and outputting hierarchical situation awareness information. According to the invention, accurate association and panoramic risk perception of the "object-bill-money" state are realized, and the real-time performance and accuracy of risk identification and the expandability of the system are improved.

A system and method for extracting structured key information from diverse document types using large multimodal models (LMMs) is disclosed. The invention employs a zero-shot analysis to identify candidate keys within an input document, then selects a document schema from a document schema database based on the identified keys. The LMM is prompted with the selected document schema to generate structured key-value pairs, with field constraints enforced by the document schema. Relationships among extracted keys are mapped to a graph representation, enabling robust handling of complex document layouts. The system supports nested structures, tabular data, and alias definitions for fields, and can update document schemas based on ground truth feedback. The resulting structured output is provided in a machine-readable format, enabling reliable and scalable document understanding across varied domains such as invoices, health cards, and driving licenses.

The invention discloses an invoice automatic registration system and method based on multi-factor authentication, and relates to the technical field of invoice automatic registration, and the system comprises an initial shunting module which is used for constructing a compliance relation graph, carrying out the closed-loop classification of business through a closed-loop classification model, calculating the initial evidence integrity and risk score, and carrying out the verification of the initial evidence integrity and risk score; automatically selecting a registration path and generating a default approval chain; the node portrait module is used for constructing portraits for the approval nodes and evaluating the safety level, and starting an anchor point mechanism when conditions are met; the chain level optimization module is used for selecting a preferred anchor node, starting multi-factor authentication of a matching level and generating an invoice signing and issuing intention binding authorization snapshot; and the new link route adjusting module is used for checking snapshot validity, updating risk and evidence indexes and dynamically adjusting a registration path. According to the invention, the automation, security enhancement and dynamic risk response of the invoice registration process are realized, and the processing efficiency and security are improved.

A system is provided.SOLUTION: A system including means for analyzing a bill using an artificial intelligence model and automatically transcribing transaction data extracted from the bill to a final tax return material, means for converting voice data into text and generating minutes and a summary of a meeting, means for inputting a travel schedule and accommodation conditions and proposing and arranging optimal transportation means and accommodation facilities, and means for analyzing sales data and cost data and making a strategic improvement proposal.SELECTED DRAWING: Figure 1

To reduce the burden of work that must be performed by a bill data recipient or a bill issuer when information required for the bill data recipient to process a bill is missing. [Solution] This information processing system includes a voucher data receiving unit 31 that receives voucher data transmitted via an electronic invoice network 2 over which voucher data is transmitted and received by a voucher issuer system 1, a missing information determination unit 32 that determines whether specified information is missing from the voucher data received by the voucher data receiving unit 31, and a missing information notification unit 33 that, if the missing information determination unit 32 determines that specified information is missing from the voucher data, automatically sends a notification to the voucher issuer system requesting it to transmit the information missing from the voucher data.

The invention relates to the technical field of computers, and particularly discloses a bill information storage method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring first bill information of a first sub-bill and first complete circulation information of the first sub-bill, wherein the first complete circulation information comprises circulation information corresponding to each node in the circulation process of the first sub-bill; obtaining second complete circulation information according to the first bill information; deleting circulation information the same as the second complete circulation information from the first complete circulation information to obtain a first part of circulation information; acquiring first splitting process information of the first sub-bill based on the first bill information; and correspondingly storing the first splitting process information, the first bill information and the first part of circulation information into a circulation record database. By adopting the method, the query efficiency of the bill circulation process can be improved while data redundancy is avoided.

This invention discloses a method and apparatus for generating billing invoices. The method includes obtaining a billing invoice generation request for a target enterprise; parsing the request to obtain the billing invoice month and year; searching a database for the data source table corresponding to the current target enterprise and obtaining the quotation associated with the target enterprise based on the billing invoice month and year; generating a billing invoice corresponding to the billing invoice month and year based on the data source table, the quotation, and the relationship between the two; and providing the billing invoice data to a terminal page. This method of automatically generating billing invoices based on quotations bound to different employees of the target enterprise and their corresponding data source tables can improve the efficiency and accuracy of billing invoice generation.

The invention belongs to the field of financial settlement, and mainly relates to an accounting archive data query method based on big data, and the method comprises the steps: collecting multi-source heterogeneous data from different systems, and carrying out the unified representation of all data items through a grid algorithm and time-space coordinates; on this basis, association between the space-time anchor points and the service entities is established, and accurate matching and screening are performed on the data in combination with multi-dimensional information such as time, position and amount; the method comprises the following steps of: evaluating the correlation of data entries by calculating process data such as equipment operation duration, and screening the data entries highly matched with an actual business event; an amount logic consistency verification rule is introduced to verify the consistency among data such as contracts, payments and invoices, and potential abnormities are found in time through balance drift analysis; the method can effectively solve the problems of data dispersion, chaos of naming, tedious manual splicing and the like in traditional accounting archive query, and manual intervention is reduced.

This application relates to a method, apparatus, device, and computer-readable medium for processing invoice data. The method includes: determining at least one first invoice selected by a first subject from a first invoice repository for reimbursement; generating a reimbursement form corresponding to a first amount reimbursable by the first subject based on the first invoice, and initiating an approval process for the reimbursement form; and performing post-processing on the reimbursement form based on the approval result. This application solves the problems of erroneous and chaotic reimbursement processes that occur when reimbursing expenses for expenses incurred by individuals traveling together in the prior art.

A non-transitory computer readable storage medium has instructions executed by a processor to access an accounts payable invoice data set. Tuples of invoice line-items are gathered from the accounts payable invoice data set. A general ledger label is attached to each tuple to form labeled general ledger invoice line-item tuples. A single digit percentage of input information in the general ledger invoice line-item tuples is masked to form first revised general ledger invoice line-item tuples. A single digit percentage of input information in the first revised general ledger invoice line-item tuples is masked with mismatched values to form second revised general ledger invoice line-item tuples. A machine learning model is trained with the second revised general ledger invoice line-item tuples to form a trained general ledger machine learning model. An accounts payable invoice is received. The trained general ledger machine learning model is used to assign general ledger labels to items in the accounts payable invoice.

1. Name of the designed product: self-service machine for medical use (4.0). 2. Use of the designed product: the designed product is used for self-service in hospital procedures, such as registration, payment, hospitalization, case inquiry and invoice development, etc. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The invention discloses a risk management and control system for an incomplete labor relationship. The risk management and control system specifically comprises an enterprise management module, a creator module, a financial management module, a risk monitoring module and a risk display module, the enterprise management module is used for managing contract information and recruitment post information of a employment unit, the customer creation module is used for storing personal information and job records of employees, and the financial management module is used for executing a salary payment auditing process and recording a salary payment amount and corresponding invoice information. The risk monitoring module is used for collecting recruitment post abnormal information in the enterprise management module and employee information abnormal information in the creator module in real time, and generating an abnormal alarm signal; and the risk display module is used for receiving the abnormal alarm signal of the risk monitoring module. The technical problems of management and control failure, insufficient employment state and personnel qualification monitoring, nonstandard salary settlement process and the like caused by employment unit and employment personnel information sub-table management in the existing system are solved.

This invention relates to the fields of data processing and logistics information technology, and particularly to an automated logistics document system, comprising: a user interaction module, a data processing engine module, a configuration management module, a report generation module, an automatic update module, and a progress feedback module. This invention also provides an automated logistics document processing method, including file recognition and loading, data initialization and cleaning, multi-source data association, automatic model extraction and replacement, classification and summarization, header data generation, report generation, and result saving and feedback. This invention is applicable to scenarios involving the automatic generation of standardized logistics documents such as packing lists, invoices, and customs declarations from multi-source Excel data; it significantly improves processing efficiency, offers extremely high accuracy, intelligent model processing, high flexibility and configurability, multi-source data fusion capabilities, and a user-friendly experience.

1. The name of the design product: graphical user interface of invoice application of electronic device. 2. The use of the design product: for electronic device. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. The use of the graphical user interface: for applying to issue invoice. 6. The human-computer interaction mode of the graphical user interface: click the "apply for invoice" operation option in the interface shown in the front view, the interface jumps to the interface shown in the interface change state diagram, input information about the invoice, select the charging order that needs to be invoiced, and click the "apply for invoice" operation option in the interface shown in the interface change state diagram. 7. Other circumstances that need to be explained: refer to Figure 1 for the front view and refer to Figure 2 for the interface change state diagram.

The application provides a bank intranet-based safe short message link invoice generation system and method, and belongs to the technical field of data processing, and specifically comprises the following steps: based on the change of the centralized verification risk period within the effective time interval of the short message link of the current period under different invoice amounts, determining the available invoice amount interval; when not within the available invoice amount interval, determining the generation processing method of the effective time interval of the short message link invoice in the current period by the server of the bank intranet according to the change of the matched invoices in different centralized verification risk periods and in combination with the influence of different centralized verification risk periods on the future period, so that the congestion of the server for the verification and download processing of invoices is avoided.

The invention discloses an online financing auditing system and method fused with dynamic risk assessment in the technical field of supply chain finance. The method comprises the following steps: receiving multi-dimensional financing data input by a supplier, a capital party and a business system; based on multi-dimensional financing data input by a supplier, a capital party and a business system, combining a plurality of financing evaluation models to calculate financing evaluation data; performing risk control index state judgment based on financing evaluation data; and on the basis of the financing evaluation data and the risk control index state judgment result, carrying out online financing audit decision making. Furthermore, the multi-dimensional financing data comprises a cloud credit face amount, a credit rating coefficient, a historical fulfillment rate, a remaining validity period factor, a material weight, a material completeness index, an associated material gain coefficient, an associated cloud credit quantity, a fulfillment risk weight, an aging risk weight and a material risk weight. According to the method, manual judgment is replaced by formulation decision, consumption of operation resources of the server is reduced, frequent calling of manual auditing interfaces is avoided, and the auditing period is shortened.

The invention discloses a financial automatic management method and system for the full life cycle of assets, relates to the field of financial automatic management, and solves the technical problem that it is difficult to recognize the default situation possibly existing in an enterprise and carry out differentiated payment reminding during bill collection in a park. According to the invention, when the time reaches the target time before the payment period agreed by the contract, the payment notice is pushed to the enterprise based on the receivable bill amount and the actually received bill amount of each enterprise, and the invoice of the related bill is issued on line based on the payment mode of the enterprise and is pushed to the enterprise in real time; determining a development mapping factor of the enterprise based on the basic data of the enterprise, determining an overdue risk factor based on historical overdue amount and historical financial time data of the enterprise, determining bill reminding time based on the development mapping factor and the overdue risk factor, and reminding the corresponding enterprise based on the bill reminding time; according to the invention, the controllability and safety of asset income can be enhanced.

To improve the efficiency of a task by reducing time and labor for determining a tax classification and registering it in accounting data.SOLUTION: A program to be executed by a computer including a processor and a memory, the program causing the processor to execute: a step of receiving an input of transaction data relating to a transaction of a user; and a step of, in response to the transaction being completed in response to the input of the transaction data and the transaction being performed on a platform on which invoice data associated with the transaction data is output: Acquiring invoice data for the transaction from the platform; determining a tax category taxed on the transaction based on whether a seller included in the acquired invoice data is an eligible invoice issuing business operator or a tax exemption business operator, a taxed consumption tax rate, and a transaction date of the transaction; and outputting the determined tax category as accounting data.SELECTED DRAWING: Figure 8

The invention discloses a block chain-based green electricity transaction whole-process credible settlement method, apparatus and device, and a medium, and relates to the technical field of computers. Comprising the following steps: preprocessing an original power generation data set to generate a target power generation data set, and generating a corresponding root hash value and a Merkel construction path by using a preset Merkel tree algorithm; carrying out credibility authentication on the target power generation data set, and uploading a root hash value and a Merkel construction path to a block chain account book; matching the credible power generation data set with the power purchase intention data, and verifying matching transaction records through consensus voting; a delivery data record generated in the delivery process is bound with the matchmaking transaction record and uploaded to a block chain account book to generate a target settlement bill; and performing full-process credibility verification based on the target settlement bill to generate an audit recheck report. Therefore, the transparency of green electricity transactions and the credibility of data can be improved, and the whole process is verifiable, traceable and non-tampering.

1. Name of the product in this design: Document Organizer. 2. Purpose of this design: This design is used for organizing and aligning paper documents such as files, certificates, and invoices. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the product in this design: Storage Box (Tax). 2. Purpose of this design: This design is used for classifying and organizing tax-related supplies such as invoices, seals, ink pads, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a photovoltaic power station full-life-cycle digital management system based on artificial intelligence, and the system achieves the unified collection and efficient preprocessing of data through a data sensing layer, solves the problems of difficult data collection and non-uniform formats, and improves the data quality and availability. An anomaly detection model trained by a federal learning framework in the intelligent decision-making layer is utilized to realize accurate anomaly detection and scientific operation and maintenance decision-making, so that the equipment failure downtime is shortened, and the power generation efficiency is improved; the business execution layer realizes automation of businesses such as electric charge accounting and invoice issuing, reduces labor cost, and solves the problems of high labor cost and low business processing efficiency and accuracy of photovoltaic power station management.

An object of a system according to an embodiment is to automate and efficiently perform management and journalizing work of receipts and invoices.SOLUTION: A system includes a reception part, an analysis part, a journalizing part, a recording part, and an advice part. The reception unit receives a photograph of a receipt or a bill from a user. The analysis unit analyzes the photograph received by the reception unit and extracts necessary information. The journalizing unit automatically performs journalizing based on the information extracted by the analyzing unit. The recording unit records the information journalized by the journalizing unit. The advice unit provides advice to the user based on the data recorded by the recording unit.SELECTED DRAWING: Figure 1

The invention relates to the technical field of artificial intelligence application, and provides a multi-agent cooperation-based invoice intelligent auditing system, which comprises an invoice access analysis module, a multi-agent auditing module, a rule management module, a result aggregation early warning module and a visual filing module, and the multi-agent auditing module is used for performing auditing, duplicate checking, compliance and accounting operations on the structured invoice data through a plurality of parallel agents to generate auditing sub-results of each agent. The system simultaneously performs auditing, duplicate checking, compliance and accounting operations on the invoice data by setting the plurality of parallel agents; and a plurality of key auditing links which must be executed in series originally are parallelized, so that the enterprise financial processing efficiency is improved.

The present application relates to the technical field of financial information processing, and more particularly to a heterogeneous data association auditing method for university financial reimbursement bills, comprising: performing text analysis and structured processing on the attachments of the meeting notice to generate a meeting business entity data structure containing meeting name, holding time interval and holding location information; on this basis, performing time window filtering and amount interval filtering based on the holding time interval preset extension on the public card payment stream data to obtain a candidate payment record set, and constructing a payment clustering graph model with payment merchants as nodes and payment time difference as edge weights, and dividing the connected components by the time difference threshold to form a collection of collection payments; further performing interval matching on the invoice amount features, and matching the travel time and location, and finally constructing a meeting business association graph and performing association auditing determination. The structured association and comprehensive analysis of multi-source reimbursement data are realized.