518 results about "Receipt" patented technology

The invention relates to the technical field of data linkage calculation, and provides a multistage document dependent freight trial calculation data linkage calculation method and system, and the method comprises the steps: expanding the attribute of a document node from a single business field to a composite vector containing a spatial-temporal feature through time information and geographic identification spatial-temporal dimension modeling; the dependency graph can capture the fine-grained dependency relationship of the freight service, and the space-time accuracy of data linkage is improved; when the basic information or the document information changes, the priority and the calculation path of the task queue are updated in real time through deep reinforcement learning, and calculation errors caused by change lag are avoided; through tensor synthesis operation, parallel subtask division, and a dual verification mechanism of a domain knowledge graph and a forced dependency edge, it is ensured that the whole process from dependency graph construction to calculation result output conforms to industry specifications, and the compliance and risk control ability of freight services are significantly improved.

The invention relates to the field of cross-border trade, in particular to a cross-border trade full-chain risk identification and management model and method. The model comprises a data access module, a score calculation module, an auditing and judging module and a result output module, multi-dimensional data such as enterprise basic information, commodity declaration information, path transportation information and historical trade behaviors are integrated by means of a unified data interface structure, and an expert weight evaluation (AHP) method and a machine learning algorithm are combined to obtain a comprehensive evaluation result. And performing multi-dimensional risk scoring on the enterprises and the declaration receipts, and automatically judging whether the enterprises and the declaration receipts have exceptions or supervision requirements or not. The system introduces a scoring code system, a price list auditing state code and an AHP weight code to construct a standardized evaluation logic, so that the risk control efficiency and the judgment transparency are improved. The model has good expandability and application universality, is suitable for various business scenes such as cross-border supervision, credit assessment, customs affair auditing and the like, can realize pre-warning and process controllability of risks, and remarkably improves the compliance level and management intelligence degree of cross-border trade.

The invention provides a method for improving the association rate of bank transaction details and electronic receipts, and relates to the technical field of data processing, and the method comprises the steps: 1, automatically obtaining transaction detail data and electronic receipt data from a plurality of bank accounts opened by an enterprise through a bank-enterprise direct connection port; step 2, identifying and analyzing the electronic receipt data, extracting key accounting elements including transaction serial numbers, dates, amounts and transaction opponent information, and generating structured receipt data; and step 3, constructing a transaction data feature set based on the structured receipt data, determining a reference data point from the feature set, and generating two groups of data association features based on the reference data point. According to the invention, enterprises are assisted to efficiently complete electronic receipt reconciliation and archiving, efficient electronic certificate service is provided for financial auditing, and the electronic and digital process of judicial enterprises is promoted.

The invention discloses a multi-modal fusion bank receipt intelligent processing system and method based on vision and NLP, and the method comprises the steps: receiving a bank receipt picture or a PDF document, and completing the text detection, direction correction and character recognition through a visual processing engine; a three-level receipt independent segmentation mechanism is applied, and independent receipt records are divided through spatial clustering analysis, semantic analysis, visual verification and cross-page association processing; jointly extracting text features and layout features of each receipt through a double-flow multi-modal fusion model, and fusing the text features and the layout features; field-level data extraction is executed through a field extraction engine, and financial data verification including account number, amount, date and abnormity quadruple verification is carried out; and generating structured JSON output to obtain a bank receipt processing result. According to the invention, the innovative five-layer processing architecture realizes high-precision analysis of the bank receipts through an independently researched and developed receipt independent segmentation engine, a vision-semantic fusion model and a financial data verification system.

The invention discloses a quick data traceability method and system based on multi-source log analysis, and relates to a data processing system or method specially suitable for administrative, commercial, financial, management, supervision or prediction.The method comprises the steps that firstly, the system responds to a service instruction to generate a transaction receipt containing a unique serial number and service attribute parameters; and establishing an association relationship between the two records and generating a to-be-confirmed record and a timestamp. And sending a service message containing the service attribute parameters to a receiving end. When an ownership right reverse search request of a receiving end is received, the system calculates an effective time interval based on current time and a preset time delay threshold value, and screens out a target to-be-confirmed record which is matched with a service attribute parameter and generates a timestamp in the interval. And finally, extracting the unique serial number from the target record, generating a confirmation receipt and sending the confirmation receipt to a receiving end system. The method is used for reducing the calculation overhead and false alarm rate of accurately positioning specific abnormal transactions in massive logs by a system, and improving the confidence and timeliness of an automatic traceability result.

Systems and methods leverage a multi-stage artificial-intelligence pipeline to convert raw point-of-sale data into bank-grade digital receipts. A convolutional-OCR front end extracts line-item text, which a bidirectional-LSTM classifier normalises and categorises in real time, learning continuously from user feedback. A graph-based anomaly detector flags suspicious spend patterns, while a recommender sub-engine delivers personalised rewards and sustainability insights by fusing purchase context with external carbon-intensity data. The enriched receipt is cryptographically hashed, streamed through an encrypted gateway, and auto-matched to the corresponding payment entry inside the banking core. By driving extraction, classification, enrichment and integrity checks entirely through AI, the system eliminates manual mapping and enables immediate, tamper-evident reconciliation across heterogeneous merchants and payment rails.

Method and systems for shopping in a retail store. The methods and systems include using information monitoring devices to identify a person at a retail store, using the information monitoring devices to gather shopping information of the person at the retail store (including traffic information, product interaction information, and object identification information of the person), analyzing by the system the gathered shopping information to generate and maintain a list of the products that the person retained while shopping, using the information monitoring devices to track the first person to a point-of-sale area of the retail store, in response to the person being tracked to the point-of sale area, interfacing the system with a payment system for payment by the person of the list of the products, and transmitting a receipt to the person after payment.

The invention provides a warehouse receipt supervision method and platform based on the Internet of Things, and relates to the technical field of warehouse management, and the method comprises the following steps: deploying an Internet of Things device in a warehouse, collecting the state information of stored goods in real time, preprocessing the collected data, and generating a warehouse receipt; generating a unique initial hash value for each warehouse receipt, and combining the warehouse receipt with the current hash value when a new warehouse receipt is generated each time; the Internet of Things equipment is deployed in the warehouse, the state information of the stored goods is collected in real time, the warehouse receipt is generated, the warehouse receipt information is processed and verified in real time through cooperation of the dynamic hash chain algorithm and the block chain, and then the warehouse receipt information is stored in the block chain, so that the authenticity and integrity of data are ensured, and the storage efficiency is improved. Verification rules and business logic of warehouse receipt information can be defined through an automatic algorithm, data verification and updating operation can be automatically executed, follow-up query, monitoring and auditing are facilitated, the whole supervision process is matched with automatic operation of the algorithm, and a large amount of manpower, material resources and financial resources are saved.

Systems and methods for automated linkage of enriched transaction data to a record of charge are provided. Electronic enriched transaction data, such as receipt information, provided by merchants, merchant aggregators, or third parties may be automatically associated with the corresponding transaction, and transmitted after the sale, or after authorization of the transaction, without user intervention. The enriched transaction data may be automatically associated with the record of charge at the acquirer or issuer end. Transaction account holders are able to view and / or download the electronic enriched transaction data with the record of charge, without the need for manually initiating emailing or attaching or the electronic enriched transaction data.

The invention discloses a receipt filing method and device based on natural language processing, equipment and a medium, relates to the technical field of artificial intelligence, can be applied to the fields of banks, finance, insurance, medical treatment and the like, and realizes quick and accurate filing of receipt files. Extracting preset category information from the to-be-processed receipt file to obtain structured receipt information; determining a target voucher matched with the structured receipt information from a preset voucher set to be matched based on the category information of the structured receipt information; and establishing association between the structured receipt information and the target voucher, and correspondingly storing the structured receipt information and the target voucher. By automatically extracting the structured receipt information, intelligently matching the target voucher and establishing the associated storage, the receipt filing efficiency is remarkably improved, the risk of manual operation is effectively avoided, and strict correspondence and traceable management of business and financial data are realized.

The invention discloses an electricity price execution and bill risk combined preposed intelligent early warning method, which relates to the technical field of electric power charging risk control, and comprises the following steps of: constructing rate digital twinning, managing atomic change according to a version directed acyclic graph, generating an explanation path of a trigger condition-calculation expression-bill line item, and mapping with a metering object, a customer object and a bill object; executability and traceability are realized. Based on layered samples and boundary samples, new and old rules are played back on double tracks of a sandbox, the bill difference, the uncertainty and the exposure degree are obtained, and differential hotspots are identified; generating a version binding scene pre-bill after a semantic structure, a coverage boundary, a performance budget and compliance consistent access control are passed, providing an alternative scene and collecting a receipt; gray level monitoring is carried out, rollback and secondary account checking are carried out according to the TariffID subgraph when triggering is carried out, and evidence fingerprints are formed; according to the scheme, aperture consistency and boundary coverage are improved, and accurate rollback and auditing verification are supported.

The invention discloses an electronic receipt matching method and device based on interconnection and interworking, and the method comprises the steps: carrying out the field information extraction of an electronic receipt query request reply message, and obtaining an interconnection and interworking account transaction detail table of an electronic receipt query request; initiating an electronic receipt issuing application, and after the electronic receipt is obtained, filling the stored electronic receipt index into an OFD receipt file index field of the interconnection and interworking account transaction detail table; according to a preset matching rule corresponding to the channel type of the bank transaction detail structured table, matching the bank transaction detail structured table with an interconnection and interworking account transaction detail table; and when the matching is successful, associating the electronic receipt index with the bank transaction detail structured table. And the electronic receipt file and the transaction structured data are rapidly and accurately matched correspondingly.

The invention discloses a cross-institution bill clearing and settlement system and method based on a block chain, and relates to the technical field of block chains, and the system comprises a transaction blueprint locking module which is used for generating and solidifying a transaction blueprint of a single settlement transaction, building a double-side hinge locking state of a bill side and a fund side, and locking the transaction blueprint of the single settlement transaction; the two sides are kept in a revocable locking state before settlement is established, so that irreversible semi-settlement occupation is avoided; and the witness grid module is used for gradually collecting completion evidences of a local domain for causal steps defined by a transaction blueprint and superposing side evidences of an outer domain to generate receipt capsules and step completion evidences carrying a dependency relationship. The invention provides a self-healing type clearing and settlement mechanism taking the assembled causal receipt capsules as a core. Through double-side hinge revocable locking, causal proof set closure unlocking and fountain erasure fragmentation receipt propagation, non-half-settlement atomic settlement and verifiable rollback of cross-mechanism bills and funds are realized.

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.

An online system receives, from a customer mobile application (CMA) an order including an item that requires verification of delivery. The online system transmits an indication that the order includes the item to a delivery mobile application (DMA). The DMA transmits a real-time location of a client device of a delivery agent to the online system. Responsive to determining that the delivery agent is at a delivery location, the online system transmits an indication to the DMA to display a user interface including an interactive element for requesting a receipt from a customer. Responsive to receiving an indication of an interaction with the interactive element, the online system transmits an indication to the CMA to display a user interface with a verification element. The CMA transmits a receipt received via the verification element to the online system, which stores the receipt as verification information.

Disclosed in embodiments of the present application are a method and apparatus for detecting a forged receipt, a storage medium, and an electronic device. The method comprises: acquiring a receipt image; positioning a key information region of the receipt image; and performing text anomaly detection on the key information region, and on the basis of the result of the text anomaly detection, determining whether the receipt image is a forged receipt. In the present application, whether a receipt image is a forged receipt is determined by means of the result of performing text anomaly detection on a key information region, thereby effectively achieving forged receipt detection, reducing the interference of false detection of a non-key information region, and improving the detection accuracy and efficiency compared with a manual identification method.

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.

1. Name of the Design Product: Receipt Printer (Model PG05). 2. Use of the Design Product: For printing receipt labels and bills. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1.

The invention provides an intelligent contract management method and system for cargo receipt circulation, and the method comprises the steps: carrying out the certificate verification of a cargo receipt circulation request of a certificate initiation node through an intelligent contract system, generating a first receipt certificate, and transmitting the first receipt certificate to a certificate confirmation node for signing; receiving signing information of the voucher confirmation node, generating a second document voucher, sending the second document voucher to a first execution node, and monitoring cargo state information; according to the cargo state information, generating a third document voucher, sending the third document voucher to a second execution node, and obtaining transfer state information; and carrying out delivery voucher identification based on the transfer state information, generating a fourth document voucher, sending the fourth document voucher to a voucher receiving node for confirmation, and completing document circulation. According to the method, automatic receipt generation and circulation of multi-node collaboration and state driving can be realized, and trust cost and communication delay across subjects are greatly reduced.

The present invention relates to the related field of information technology. Disclosed are a product process tracking method and system for physical commodity order management. The method comprises: uploading customer project activity information to a data center; sending a physical commodity list to the data center; a supply side responding to a physical commodity purchasing request and obtaining physical commodity information; importing physical commodity outbound and inbound receipts; taking the physical commodity list as an initial process tracking node, setting a continuous process tracking vector, and generating a product process tracking chain; and after responding to the physical commodity purchasing request, the supply side uploading the customer project activity information and the physical commodity list, and a client refreshing the physical commodity information in real time. The technical problems of low data accuracy and reliability, untimely information updating, insufficient process transparency, and low management efficiency in existing physical commodity order management are solved, and the technical effects of ensuring data accuracy and reliability, realizing real-time order information updating, synchronously performing process tracking, and improving management efficiency are achieved.

An online system may obtain an image of a receipt from a user, wherein the receipt includes a list of item identifiers and associated charges. The online system may provide a prompt to a first machine learning model including the image or extracted information from the image, and a request to provide descriptors of a list of items corresponding to the item identifiers in the image. The online system may receive from the first machine learning model as a response, the list of items and associated charges. The online system maps the list of items to one or more items in an item catalog of an online system. The online system may add the one or more items to an order associated with the user.

The invention discloses a multi-module collaborative integration method based on an intelligent factory management and control system, particularly relates to the technical field of intelligent manufacturing, and is used for solving the problem of cross-module control inconsistency caused by the fact that an interface receipt is not equivalent to an actual state to take effect in the prior art. The method comprises the following steps: receiving a control intention, generating a cooperative control transaction risk index, packaging the cooperative control transaction risk index into a control transaction recording unit, and allocating a unique identifier and an idempotent key; after cross-module consistency check is executed, a control instruction is issued, a preparation receipt and an acceptance receipt are collected, and a to-be-validated verification state is entered; in the allowable effective time window, constructing an execution effective evidence chain based on the equipment and service state evidence, calculating a control effective confidence coefficient index and judging an effective result; and performing compensation rollback and consistency recovery on the effective abnormal transaction, and updating the execution reliability portrait. According to the invention, the observable evidence is used for replacing the receipt as a closed-loop basis, so that the verifiability, rollback performance and traceability of cross-module linkage control are improved.

The invention discloses an intelligent monitoring method and system for enterprise tax receipt risk early warning, and relates to the technical field of intelligent tax risk control. Comprising the following steps: S1, processing a tax policy file through structured preprocessing, and determining a policy feature vector; s2, obtaining transaction network characteristics through the space-time transaction graph and the enterprise invoice data; s3, determining a violation probability and a judgment threshold according to the policy feature vector and the transaction network feature; and S4, determining a risk level according to the violation probability and a final judgment threshold, and generating a risk report. According to the method, policy feature vectors are extracted through BERT, the judgment threshold is dynamically adjusted in combination with the similarity between new and old policies, so that the model can be adaptively optimized along with policy changes, the misjudgment of the model is reduced, meanwhile, the rule violation probability and the abnormal type label are generated through the CVAE model, weighting is performed in combination with the industry risk coefficient, and the probability of rule violation is reduced. And the sensitivity to a few abnormal samples is enhanced.

A package theft prevention system comprising a mailbox defining an irregularly shaped interior compartment for storage of received packages. The lower portion of the mailbox has an outward, distally tapering wall for anchoring to concrete it is embedded in. The uppermost opening to the mailbox has a package door biased in the closed condition, where, just downward of the package door is a self-closing trap door biased in its closed position. As the package door and the trap door are offset and open in opposing directions, removal of packages from the upper opening is frustrated while receipt by the deliverer is facilitated. A lockable rear door below the upper opening provides access to the interior compartment for the owner.

The invention relates to the technical field of data processing, and provides a dynamic rule-based automatic voucher generation method and system for business receipts, and the method comprises the steps: obtaining a plurality of historical business receipts, extracting business receipt elements for each historical business receipt, and marking voucher elements; based on the business document elements and the voucher elements of the plurality of historical business documents, generating association rules of the voucher elements and the business document elements through a large language model in combination with the policy data; for each historical business document, calling association rules related to business document elements of the historical business document, and storing the association rules; and obtaining a to-be-processed business document, extracting business document elements, searching for the historical business document with the highest similarity, and generating voucher elements through the association rule stored in the historical business document with the highest similarity. And a new scene can be covered without manually modifying the template, so that the dependence on a static rule is eliminated.

The invention discloses a collaborative management system and method based on cross-border transaction, and relates to the technical field of cross-border e-commerce. The system comprises an ERP module, a CCS module, a WMS module and a data collaboration module. The ERP module generates warehouse-in and warehouse-out receipts and pushes the same to other modules, and receives feedback at the same time; the CCS module automatically generates customs clearance information, submits the customs clearance information to the customs, receives receipts, synchronizes the receipts and summarizes difference information; the WMS module generates a warehouse-in and warehouse-out plan, executes operation, synchronizes information and generates a tallying report; and the data collaboration module realizes data series connection, standardized processing, matching verification and traceability management. According to the method, collaborative management and control of warehouse-in and warehouse-out processes are realized through the system. The system solves the problems that an existing system is asynchronous in information, difficult in data difference tracing, large in manual operation workload, high in error rate and the like, data seamless collaboration is achieved, efficiency and accuracy are improved, customs supervision requirements are met, and rapid difference checking is facilitated.

Examples provide a system and method for identifying unpaid items in real-time using computer vision object detection and recognition models. Images of a cart are selected based on proximity of the cart to one or more anchor points. The object detection and recognition models analyze the image data and identify a set of items in the selected cart. An e-receipt including a set of paid items is selected from a plurality of active electronic receipts based on matching the set of identified items to the set of paid items. Any unmatched items are added to a set of predicted unpaid items. When a receipt corresponding to the selected e-receipt is scanned, a notification identifying the set of predicted unpaid items is provided to a user device for display, enabling a user to identify any unpaid items in a basket of items quickly and accurately in real-time at store exit.

An online concierge system trains a computer model to map receipt item labels to order item identifiers, enabling the online concierge system to identify discrepancies between receipt items and customer order items. The online concierge system identifies a training set of data comprising quantities of receipt item labels and corresponding orders having quantities of order item identifiers and trains the computer model to predict quantities of order item identifiers based on the set of training data. The online concierge system applies a one-hot encoding for a receipt item label to determine predicted order item identifiers and maps the receipt item label to order item identifiers based on the predictions.