17 results about "Bank statement" patented technology

A mechanism for reconciling unreconciled bank statement lines with corresponding accounting book entries in an online bookkeeping service. A machine-configurable similarity measurement model is applied to quantify similarity of an unreconciled bank statement line to each of a set of historical bank statement line reconciliations for a specific user, to identify a most similar line reconciliation, and upon satisfaction of a threshold, to automatically reconcile the unreconciled bank statement line with extracted accounting book entry details from the identified reconciliation.

This invention relates to the field of payment and settlement technology, and discloses a method and system for aggregated settlement and clearing processing in cross-border payment scenarios. The method involves: receiving cross-border payment and receipt transaction instructions from multiple channels and creating multiple clearing groups for standard transaction objects, while simultaneously calculating the net position of each clearing group; determining a risk control plan for each net position based on its RMB equivalent net amount; encapsulating the approved net positions in the risk control plan into standard messages, and submitting the standard messages to the CIPS front-end gateway to complete cross-border net clearing and receive a message acceptance receipt returned by the CIPS front-end gateway, thus obtaining an electronic bank statement. This invention reduces the number of net positions that need to be submitted to the CIPS front-end gateway, lowers the channel cost of cross-border clearing, and thus solves the node load imbalance problem under static configuration routing mode, improving the overall throughput stability of cross-border clearing messages during peak periods.

Periodic bank statements may be created that are dynamic and interactive. Financial transactions of users can be ingested and similar users clustered together. The financial transactions of users can be displayed and additional insights generated using a large language model.

This invention discloses a method and system for automatic accounting based on natural language, invoices, bank statements, and payroll, belonging to the field of financial automation technology. This invention utilizes four functional modules—intent parsing, voucher generation, risk assessment, and report generation—to collaboratively generate accounting vouchers from at least one data source, including natural language business descriptions, invoices, bank statements, and payroll. After compliance and risk assessment, it automatically generates financial reports, achieving a fully automated accounting loop from user instructions to financial statements. This invention decouples intelligent decision-making from data execution in a layered manner, improving accounting efficiency and accuracy, reducing errors and tax risks, and can be widely applied in enterprise financial software and financial automation scenarios.

The invention relates to the technical field of financial data processing, in particular to a bank reconciliation bill intelligent identification optimization system and method based on multi-modal fusion, and the method comprises the steps: obtaining an image, a text and selectable audio data of a reconciliation bill through a multi-modal data collection module; after preprocessing and feature extraction, geometric correction and character recognition are carried out by using an image correction and character analysis module; the method is characterized in that a pre-training large language model based on a Transform architecture is introduced as a core of a multi-modal fusion and structured output module, and the model deeply fuses visual features, text semantics and audio context information through a cross attention mechanism to realize deep understanding of the overall structure of a bill and transaction logic. And finally, directly outputting a standardized structured recognition result. According to the method, the accuracy and robustness of bank key information identification in a complex scene are remarkably improved, and the method can be directly applied to automatic processes such as financial auditing and financial risk control.

A mechanism for reconciling unreconciled bank statement lines with corresponding accounting book entries in an online bookkeeping service. A machine-configurable similarity measurement model is applied to quantify similarity of an unreconciled bank statement line to each of a set of historical bank statement line reconciliations for a specific user, to identify a most similar line reconciliation, and upon satisfaction of a threshold, to automatically reconcile the unreconciled bank statement line with extracted accounting book entry details from the identified reconciliation.

The present application relates to the technical field of computer image processing, and provides a bank flow table extraction method and device, computer equipment and storage medium, the method comprises: obtaining a bank flow image, detecting the text area in the bank flow image; merging the text area to construct a text line, obtaining a text line set; traversing each text line in the text line set, extracting a flow table header row and a flow table body row set; according to the distance of each text area in the flow table header row and the flow table body row set, column division is carried out on each text area in the flow table body row set, and the flow table body column set is determined; based on the consistency of the table header and the table body row and column, the flow table header row and the flow table body column set are checked and updated, and the checked and updated flow table header row, flow table body row and flow table body column set are saved as a table extraction result. The present application can improve the accuracy of bank flow table extraction.

The invention provides an account data management method and system based on SaaS, and the method comprises the steps: carrying out the semantic extraction and structural processing through the unified collection of multi-source original data, such as invoices, bank receipts, manual certificates, and the like; carrying out credibility grade scoring and screening on the data based on field integrity, time rationality, amount anomaly, source credibility and abstract confidence; generating a customer multi-dimensional behavior feature vector by using the credible data, and matching enterprises with similar structures in a modeled enterprise library; historical accounting rules are extracted from similar enterprises, adaptive scoring is performed in combination with abstract semantic matching degree, subject structure compatibility and rule use stability, and migratable rules are screened; and finally, automatically generating a standard bookkeeping entry under the condition of meeting abstract matching and amount tolerance. According to the invention, intelligent migration and automatic entry of the cross-enterprise accounting rule are realized, and standardization, accuracy and compliance of the SaaS account platform are improved.

This application relates to the field of digital supply chain management in the plastics and chemical trade, and provides a method and system for full-chain compliance management of plastics and chemical trade based on the integration of four flows (flow, cash, and logistics). The method includes: building a unified business operation platform for plastics and chemical trade, embedding relevant tax incentive compliance requirements into the platform's business processes, and configuring corresponding compliance rule engines; achieving a closed-loop business flow throughout the procurement and sales process, visualized logistics management throughout warehousing and transportation, integrated business and financial settlement of funds, and synchronized information flow across the entire chain; enabling the platform's intelligent document center, linking service contracts, logistics documents, invoices, and bank statements to generate an immutable chain of compliance evidence; setting mandatory compliance checkpoints at key nodes in the business flow to verify the completeness of compliance documents, blocking business flow if valid compliance documents are missing; achieving full-process data traceability based on the corresponding chain of compliance evidence; and automatically collecting compliance data according to the tax declaration cycle to generate a compliance declaration report for tax incentives in the plastics and chemical trade.

A mechanism for reconciling unreconciled bank statement lines with corresponding accounting book entries in an online bookkeeping service. A machine-configurable similarity measurement model is applied to quantify similarity of an unreconciled bank statement line to 5 each of a set of historical bank statement line reconciliations for a specific user, to identify a most similar line reconciliation, and upon satisfaction of a threshold, to automatically reconcile the unreconciled bank statement line with extracted accounting book entry details from the identified reconciliation. 10 [FIGURE 1] identified reconciliation. 10 20 26 20 50 86 29 J un 2 02 6 A B S T R A C T 2 0 2 6 2 0 5 0 8 6 2 9 J u n 2 0 2 6 i d e n t i f i e d r e c o n c i l i a t i o n . 1 0 IN FO RM AT IO N RE TR IE VA L S1 01 SI M IL AR IT Y PR O CE SS IN G S1 02 TH RE SH O LD CO M PA RI SO N S1 03 RE CO N CI LI AT IO N S1 04 PA SS T O N EX T M EC H AN IS M S1 05 FI G U RE 1 CO N FI G U RE S IM IL AR IT Y M EA SU RE M EN T M O DE L S1 06 CO N FI G U RE TH RE SH O LD S1 07 RU N TI M E M AI N TE N AN CE 1 / 5 M A I N T E N A N C E CONFIGURE SIMILARITY C O N F I G U R E M E A S U R E M E N T T H R E S H O L D M O D E L S 1 0 7 S 1 0 6 R U N T I M E R E C O N C I L I A T I O N S 1 0 4 1 / 5 I N F O R M A T I O N S I M I L A R I T Y T H R E S H O L D R E T R I E V A L P R O C E S S I N G C O M P A R I S O N S 1 0 1S 1 0 2 S 1 0 3 P A S S T O N E X T M E C H A N I S M S 1 0 5 F I G U R E 1 20 26 20 50 86 29 J un 2 02 6 1 1 0 3 1 0 2 1 0 1 W W W 1 / 5 W 1 0 6 1 0 7 W W I N W W 2 0 2 6 2 0 5 0 8 6 2 9 J u n 2 0 2 6

The present invention relates to tickets, and in particular to admission tickets, airline, train, ship or bus tickets, gambling receipts, parking tickets, cash register receipts, bank statements, medical chart paper, fax paper, security paper or barcode labels. The present invention relates in particular to an article comprising a heat-sensitive recording layer, comprising one or more specified color developers, one or more dye precursors and one or more specified sensitizers, wherein the article is an admission ticket, an airline, train, ship or bus ticket, a gambling receipt, parking ticket, cash register receipt, bank statements, medical chart paper, fax paper, security paper or barcode label. The present invention further relates to a method for manufacturing an article comprising a heat-sensitive recording layer.The present invention further relates to more specifically described uses of a compound according to a more specifically described formula in combination with a more specifically described sensitizer. The present invention further relates to the use of a heat-sensitive recording layer as further described in more detail as an admission ticket, a plane, train, ship or bus ticket, a gambling receipt, parking ticket, cash register receipt, bank statement, medical chart paper, fax paper, security paper or barcode label. The present invention further relates to the use of a heat-sensitive recording layer as further described in more detail in offset printing. The present invention further relates to the use of the articles of the present invention in offset printing.

The invention belongs to the technical field of financial science and technology, and particularly relates to a bank statement classification method based on a rule engine and a local model. Comprising the following steps: S1, judging whether pipeline data is abnormal or not by constructing a rule engine, and removing the pipeline data; s2, on the basis of the data after the abnormal flow is removed, determining an associated party transaction and a suspected associated party transaction; s3, on the basis of the flow data after the abnormal data and the associated transaction are removed, the flow data are transmitted to a local DeepSeek, and the local DeepSeek judges the type of the data and stores the data into a corresponding database; according to the method, time and labor are consumed in manual classification, the problem that classification is incorrect due to semantic understanding and checking possibly caused by pure dependence on large model classification is solved, the problem that a single rule engine is difficult to cover a full-service scene is solved, and frequent change of rules when the single rule engine is used for bank statement classification is avoided.

An automated bank reconciliation method includes, during a reconciliation period, daily receiving transaction information from a bank and matching it with accounting transactions on a general ledger. The method also includes, at an end of the reconciliation period, receiving a bank statement, retrieving a statement ending date and balance, accessing all bank statement transactions and comparing them with the transaction information received daily, comparing and matching the bank statement transactions with the accounting transactions from the general ledger and aggregating them into total matched debits and total matched credits, determining a matched-based ending balance by adding total matched credits to and subtracting total matched debits from a starting balance, comparing the matched-based ending balance with the bank statement ending balance, creating a bank reconciliation record and automatically posting it if the ending balances are equal, and sending a notification indicating whether the bank reconciliation record has been matched and posted.

This invention provides a method and system for recognizing bank statement forms by fusing multiple heterogeneous models, belonging to the field of data processing technology. It includes: receiving a form image to be recognized; inputting the form image into multiple heterogeneous form recognition sub-modules for recognition, each sub-module including at least a computer vision model and a multimodal large model; standardizing the recognition results from the multiple heterogeneous form recognition sub-modules to unify the data format, obtaining multiple standardized recognition results; and fusing the multiple standardized recognition results to output a unified structured recognition result. This invention overcomes the problems of existing technologies that can only handle regular forms, have limited scene adaptability, poor accuracy, and lack flexible scalability.

The invention provides an order approval method based on a real-time risk control decision and related equipment, and the method comprises the steps: carrying out the data collection and standardization processing of multiple systems of an e-commerce platform through an API gateway, and obtaining the preprocessing order data; obtaining a bank statement file according to the merchant identifier, and performing field extraction and credit analysis to obtain bank statement analysis data; constructing risk features by adopting a stream-oriented computing technology, and carrying out anomaly detection through graph correlation analysis to obtain a risk scoring report; and based on the risk score, executing a multi-level approval strategy through a block chain smart contract, and adopting a distributed lock to control a concurrent process to obtain an approval decision result. According to the method, real-time acquisition of a multi-dimensional data source is realized through the API gateway, the problem of data islands is avoided, real-time fusion processing of multi-dimensional features is realized through a streaming computing technology and graph correlation analysis, the problem of time delay of traditional offline analysis is avoided, and automatic execution of an approval process is realized through a block chain smart contract.

The invention relates to a bank receipt data automatic extraction and import method and system and a medium, and relates to the field of information extraction. The method comprises the following steps: based on a constructed receipt detection and segmentation model, segmenting bank receipt image information into a plurality of target receipt images; importing the target receipt image into a visual classification model for classification, and judging whether the target receipt image belongs to a known receipt category or an unknown receipt category; performing information extraction on the target receipt image, and if the target receipt image belongs to the known receipt category, performing information extraction based on prior information of the corresponding template; and if the type of the receipt is unknown, information extraction is carried out based on a receipt unified information extraction module, and first receipt extraction information and / or second receipt extraction information are / is imported into a target system. The production efficiency of financial users can be improved. The accuracy and speed of specific receipt extraction are ensured.