1432results about "Billing/invoicing" patented technology

The invention relates to a digital finance and taxation auditing method based on artificial intelligence, and the method comprises the following steps: S1, obtaining electric finance and taxation multi-source data, and carrying out the preprocessing of the data, and obtaining the preprocessed electric finance and taxation multi-source data; s2, constructing a finance and taxation knowledge graph according to the preprocessed power finance and taxation multi-source data; s3, constructing a multi-modal risk detection model, and obtaining a risk event list and a whole-course data traceability path according to the finance and taxation knowledge graph and the real-time electric finance and taxation multi-source data; s4, according to the risk event and traceability, based on a rule model, generating a structured decision instruction set including all key information and traceability links; and S5, converting the structured decision instruction set and the finance and tax knowledge graph into a standard relation graph for input, and dynamically displaying fund flow, risk events, abnormal aggregation and traceability paths among enterprises through D3. Js rendering. According to the invention, the efficiency and reliability of electric power digital finance and taxation auditing are significantly improved.

A system and method for facilitating collection of Road User Charges (RUC) using a digital currency within a Distributed Ledger Technology (DLT) network are disclosed. The system generates secure digital wallets for Road Users and Facility Owners, receives trip, position, distance, and cost data from vehicles, sensors, and facility systems, and encodes settlement logic into smart contracts. These contracts automatically execute jurisdiction-specific disbursements across blockchain, directed acyclic graph (DAG), or hashgraph frameworks, ensuring scalability and auditability without reliance on centralized tolling infrastructure. An AI Activity Module processes multi-source telemetry—including vehicle sensors, GNSS / PNT data, roadside infrastructure, and third-party traffic feeds—to detect congestion, forecast conditions, optimize routing, and dynamically adjust segment-level RUC pricing in real time. The integration of AI-driven adaptive pricing with distributed ledger settlement provides a decentralized, infrastructure-agnostic framework for secure, transparent, and verifiable road use fee collection across multiple jurisdictions, distinct from conventional tolling systems.

The present invention provides a system and method for data processing in procurement and supply chain application developed by codeless platform. The invention includes one or more large language model (LLM) agents configured for processing one or more input received on an electronic user interface. The invention includes selecting a tool selection agent from a tool repository and invoking the selected tool by a tool execution agent for processing at least one task to be executed.

A full-link reconciliation method based on a snowflake algorithm, an apparatus, a device, and a medium are provided. The method includes: responding to a reconciliation request of a cross-border service and acquiring bill source data from a service end; parsing the bill source data, and converting the bill source data into target bill data; calling a reconciliation rule engine to acquire a corresponding reconciliation rule, selecting a corresponding reconciliation algorithm, and performing a full-link reconciliation task on the target bill data to acquire a reconciliation result; transmitting unbalanced data to a corresponding exception processing system for a check processing of abnormal data; generating, based on an optimized snowflake algorithm, a unique target ID to perform a corresponding bill association with the reconciliation result, automatically penetrating, according to the unique target ID corresponding to the reconciliation result, full link data of an information flow and a fund flow, and tracing, according to the unique target ID, a whole process of the corresponding bill flowing between the fund flow and the information flow, to achieve a complete closed-loop of reconciliation.

Certain aspects of the disclosure pertain to workflow creation assistance with generative artificial intelligence. A problem statement can be received that is specified by a user in a natural language. At least one machine learning model can infer a workflow template that maps to the problem statement. Workflow template parameters can be determined, and parameter values generated based on the problem statement. Additional interaction with the user in the natural language can be performed to request and receive further data associated with the workflow template with the at least one machine-learning model. Subsequently, the workflow template can be populated with generated parameter values and provided to a workflow system that generates a workflow based on the workflow template.

Novel techniques are disclosed for providing vPLC-specific metadata service including customized vPLC-specific metadata. In certain embodiments, each vPLC may generate a customized metadata using its corresponding vPLC-specific customization instructions. In some embodiments, a vPLC-specific metadata service may be performed using pre-generated customized vPLC-specific metadata, on-the-fly customized metadata, pre-generated CSP-format metadata, or combinations thereof.

Techniques for facilitating connectivity to vPLCs created in a CSP-provided infrastructure in a region. Within the CSP-provided infrastructure in a region, when the destination of a packet is determined to be an endpoint associated with a particular vPLC, the packet is tagged with information related to the particular vPLC. The vPLC-related information for the particular vPLC can include, for example, a vPLC identifier identifying the particular vPLC, an identifier identifying a customer associated with the endpoint, a virtual cloud network identifier identifying a virtual cloud network (VCN) belonging to the particular vPLC and where the endpoint is part of the VCN, and other vPLC-related information. The packet is then routed or communicated within the CSP-provided infrastructure in a region along with the tagged vPLC-related information. The vPLC-related information is used as part of the connectivity and for routing of packets within the CSP-provided infrastructure in a region.

Systems and methods of the disclosure include: identifying, by a cloud resource management system, a cloud resource consumption model associated with one or more cloud resources; generating, by the cloud resource management system, a sequence of instructions implementing a smart contract based on the cloud resource consumption model; sending, to a distributed ledger network, the smart contract; receiving, by the cloud resource management system, cloud resource usage data associated with the one or more cloud resources; and causing, by transmitting a message reflecting the cloud resource usage data to the distributed ledger, the smart contract to be executed.

A blockchain-based system for managing music rights and royalties is disclosed. The system enables artists and contributors to upload music, assign revenue percentages, and track usage via smart contracts on a distributed ledger. Play counts are immutably recorded across distributor platforms. A contributor dashboard provides real-time access to royalty data. The platform incorporates Majority Reports to validate metadata matches and calculate royalties, and Minority Reports to flag discrepancies without payments, thereby ensuring data integrity. A Golden Box smart contract module replicates song rankings and applies predictive classification models to identify features associated with musical success. These mechanisms improve transparency, accuracy, and fraud prevention in royalty distribution.

A building system can include one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a first prediction generated using one or more first events enriched with contextual data, identify one or more second events or one or more second predictions associated with the first prediction, enrich the one or more second events or the one or more second predictions with the first prediction, and provide the one or more second events enriched with the first prediction or the one or more second predictions enriched with the first prediction.

Disclosed herein are methods and systems to generate code for a workflow. A non-limiting example of a method comprises executing, by a processor, a large language model, which receives an input of an intent associated with a workflow and provides a machine-readable description by: identifying, by searching a hierarchical data structure using a vector embedding associated with the intent, an object corresponding to the intent; identifying a set of data paths within the hierarchical data structure to retrieve the identified object; and generating the machine-readable description, the machine-readable description describing the object and at least one data path within the set of data paths; and generating, by the processor, code for the workflow using the machine-readable description.

Methods, systems, and computer-readable storage media for providing a set of column pairs, each column pair including a column of a bank statement table, and a column of a super invoice table, each column pair corresponding to a modality, the super invoice table including at least one row including data associated with multiple invoices, for each column pair, determining a feature descriptor based on an operator, a feature vector being provided based on feature descriptors of the set of column pairs, inputting the feature vector to a ML model that processes the feature vector to determine a probability of a match between the bank statement, and a super invoice represented by the super invoice table, and outputting a binary output representing one of a match and no match between the bank statement, and the super invoice based on the probability.

The invention discloses an invoice automatic auditing and intelligent settlement system for automobile road rescue, and relates to the technical field of intelligent settlement systems, a correction module integrates a machine learning model to analyze historical bills, automatically corrects unreasonable settlement amount and generates a correction suggestion report, a prompt module builds an intelligent priority matrix, and the intelligent priority matrix is sent to a server. The reminding frequency is dynamically adjusted according to parameters such as the historical settlement scale and the service life of a supplier, the settlement module recognizes an abnormal invoicing terminal by combining an invoicing equipment fingerprint recognition technology, a payment process is automatically triggered after verification is passed, a supplier credit portrait system is established, and a dynamic settlement scheme is supported. The settlement system establishes an intelligent priority matrix to realize important supplier high-frequency reminding and low-risk project low-frequency intervention, so that the whole process timeliness is guaranteed, the defects of a traditional rule engine in coping with complex scenes are effectively overcome, and the response capability and the autonomous decision-making capability of the system to abnormal behaviors are improved.

The present invention provides a system and method for an electricity utility or retail electric provider to incentivize a retail electricity customer to increase the amount of renewable energy they consume through an innovative pricing plan and digital application by letting customers understand how much renewable energy is on the electric grid at any point in time. They receive incentives for using more renewable energy and may also compete against each other or a benchmark customer to have the greenest energy consumption.

Provided herein is an AI-based energy edge platform with a wide range of features, components, and capabilities for managing and improving traditional infrastructure and coordinating with a distributed system to support important use cases for a series of enterprises. The platform may employ emerging technologies to improve the efficiency, flexibility, participation and profitability of an ecosystem and a single energy edge node. Embodiments may predict, plan, and manage energy demand and utilization in a larger distributed environment. Embodiments may use AI, IoT, and techniques to more efficiently filter, process, and move data across communication networks. Embodiments of the platform may utilize an energy market connection, communication, and transaction support platform. Embodiments may employ intelligent provisioning, data summarization, and analysis.

An embodiment computes, using a trained embedding model, a query embedding representing an input query, the input query comprising a request for a recommended model and a recommended prompt template for use with the recommended model. An embodiment selects a set of nearest neighbor embeddings with a distance less than a threshold distance from the query embedding in an embedding space. An embodiment predicts, using a trained confidence predictor model, a confidence value of each model-prompt template pair represented by a nearest neighbor embedding in the set of nearest neighbor embeddings, the predicting resulting in a set of predicted confidence values. An embodiment constructs a response to the input query, the response comprising a model-prompt template pair selected using the predicted confidence values.

An AI-based energy edge platform is provided herein with a wide range of features, components and capabilities for management and improvement of legacy infrastructure and coordination with distributed systems to support important use cases for a range of enterprises. The platform may incorporate emerging technologies to enable ecosystem and individual energy edge node efficiencies, agility, engagement, and profitability. Embodiments may forecast, plan for, and manage the demand and utilization of energy in greater distributed environments. Embodiments may use AI, IoT, and technologies that filter, process, and move data more effectively across communication networks. Embodiments of the platform may leverage energy market connection, communication, and transaction enablement platforms. Embodiments may employ intelligent provisioning, data aggregation, and analytics.

Automated, environmentally monitored and controlled storage units and systems for storing, monitoring, and maintaining a supply of products, particularly temperature sensitive pharmaceutical and / or other high-value products, be they temperature sensitive or not. Such automated storage units contain an array of independently addressable holding locations for containers with product in one or more environmentally monitored (e.g., for temperature, humidity, etc.) and controlled zones fitted with appropriate environmental sensors. In preferred embodiments, the automated storage units also include a reader to track product information and status. Product loading, retrieval, and movement within such automated storage units is performed by a computer-controlled robot. A user interface device, preferably in communication with an application service provider to provide remotely managed inventory management and other services, provides users with inventory- and product-specific information.

Disclosed in the present invention are a method and apparatus for performing full-link reconciliation on the basis of a snowflake algorithm, and a device and a medium. The method comprises: responding to a cross-border business reconciliation request, and acquiring bill source data from a business terminal; parsing the acquired bill source data, and converting same into target bill data; calling a reconciliation rule engine to acquire a corresponding reconciliation rule and select a corresponding reconciliation algorithm, and executing a full-link reconciliation task for the target bill data, so as to obtain a reconciliation result; transmitting reconciliation imbalance data to a corresponding exception handling system for checking processing of abnormal data; and on the basis of an optimized snowflake algorithm, generating a unique target ID to associate a corresponding bill with the reconciliation result, automatically penetrating full-link data of an information flow and a fund flow on the basis of the corresponding unique target ID in the reconciliation result, and on the basis of the unique target ID, tracing the whole process of the circulation of a corresponding bill between the fund flow and the information flow, so as to achieve a complete reconciliation closed loop. In this way, the reconciliation working efficiency and data accuracy of the full-link reconciliation of a cross-border business are improved.

A federated learning framework including household agents configured to continuously learn model parameters for managing charging periods and discharging periods of household batteries, and microgrid agents to maximize use of local energy based on a pricing policy, including accessing power from other microgrids when there is insufficient local energy to cover local demand. and selling surplus energy to the other microgrids when power generation by the microgrid surpasses the local demand. Each household machine learning agent is configured to control household energy demand from and supply to a microgrid which they are connected in order to minimize household energy cost while adapting to changes in the energy price that is determined based on the pricing policy of the microgrid agent that encourages reduction of carbon emission. A federated learning engine combines the model parameters from the household machine learning agents to update a global household machine learning agent.

There is a system for admitting automobiles to a venue comprising: at least one camera for recognizing an automobile, and a license plate. A server is configured for receiving a picture of the automobile and a picture of the license plate of the automobile. Furthermore, there is at least one database for storing, matching and identifying the picture of the automobile and the license plate. In addition, there is at least one screen for allowing a user to identify their automobile taken from a list of automobiles. There is also a process for tracking an automobile within an area which comprises the steps of identifying a pre-defined area and identifying an automobile for screening into the area. Next the auto and its license plate are photographed. This information is stored in a database and then used to generate invoices and track the location of these automobiles. Customer can access the database, enter the license plate of his vehicle, the database recognizes his vehicle, the customer makes payment for his vehicle, and the app places the customer information onto the PAID category list on the database.

Discussed are a charging management device, a wireless charging system, a server, and a method for providing wireless charging services. The server is one for managing wireless charging of a vehicle on a road and includes at least one processor, at least one memory that stores computer program instructions that, when executed, cause the at least one processor to perform operations, and a communication device configured to communicate with the vehicle and a charge control device. The operations include receiving, from the vehicle, a traveling route and location information of the vehicle, identifying at least one wireless charging station through which the vehicle passes on the traveling route based on the traveling route and the location information, and providing information on at least one identified wireless charging station to the vehicle.

Automated, environmentally monitored and controlled storage units and systems for storing, monitoring, and maintaining a supply of products, particularly temperature sensitive pharmaceutical and / or other high-value products, be they temperature sensitive or not. Such automated storage units contain an array of independently addressable holding locations for containers with product in one or more environmentally monitored (e.g., for temperature, humidity, etc.) and controlled zones fitted with appropriate environmental sensors. In preferred embodiments, the automated storage units also include a reader to track product information and status. Product loading, retrieval, and movement within such automated storage units is performed by a computer-controlled robot. A user interface device, preferably in communication with an application service provider to provide remotely managed inventory management and other services, provides users with inventory- and product-specific information.

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

A computer-implemented method for execution by a software service provider providing a software service to a plurality of end users, the method comprising: receiving message from an end user; generating a search string based on the received message; inputting the search string to a searching mechanism configured to rank a text descriptor of each member of a set of processing functions according to semantic proximity to the search string; generating and outputting an LLM prompt comprising the received message, and the text descriptors of only a subset of the set of processing functions, the subset being the top n results for semantic proximity to the search string, and requesting that the LLM return a selection of a processing function of the subset for which the text descriptor best matches the intent expressed in the received message content; causing the selected processing function to execute.

Energy flow control is provided, which includes obtaining real time power generation data for each of one or more energy source nodes and obtaining real time power consumption data for one or more energy sink nodes. Further, predicted power consumption data is obtained for the one or more energy sink nodes, and predicted power generation data is obtained for each of one or more energy source nodes. Predicted allocation data is determined based at least on the predicted power consumption data, and the predicted power generation data. Actual allocation data is further determined based on the real time power consumption data, the real time power generation data, the predicted power consumption data, and the predicted power generation data. The actual allocation data is used for generating a first control signal.

The invention provides a safe short message link invoice generation system and method based on a bank intranet, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining an available invoicing amount interval based on the change condition of a centralized verification risk time period in an effective time interval of an invoicing short message link at a current time period under different invoicing amounts, and when the matching invoice amount is not in the available invoice amount interval, according to the change condition of the matching invoice in different concentrated verification risk time periods and the invoice amount influence condition of the different concentrated verification risk time periods on the future time period, the matching invoice amount is calculated according to the change condition of the matching invoice in the different concentrated verification risk time periods. According to the generation processing method for determining the effective time interval of the short message link invoice of the server of the bank intranet in the current time period, the congestion condition of the server for checking and downloading the invoice is avoided.

The invention provides an intelligent invoicing method based on a finance and taxation industry large model, and the method comprises the following steps: S1, constructing a finance and taxation industry knowledge base, and storing a text vector of finance and taxation industry invoice data; s2, decomposing the input data through a data preprocessing module, and uniformly splitting the input data into data in a text format and data in a picture format; s3, converting the text data into a text vector by using an intelligent invoicing module, performing retrieval in a finance and taxation industry knowledge base through the text vector, inputting the obtained finance and taxation industry knowledge into the finance and taxation industry large model, and inputting the picture data into the finance and taxation industry large model at the same time; and S4, performing manual verification and correction on the invoicing information extracted by the finance and tax industry large model through a manual verification module. The billing efficiency is improved, and manpower is liberated.

Systems and methods for producing programs and processes for performing tasks based on event data contained within event logs are disclosed. The systems and methods can involve processing event data such that relevant portions of the event data are provided to machine learning models to allow such systems to produce automation programs. The systems and methods can also involve providing instructions to a command package machine learning model, such as a large language model, that operates to propose command packages that contain automation actions, and providing instructions to an action machine learning model that selects automation actions, associated with the proposed command packages, to be incorporated within automation programs that can be used to automate the tasks.

The present disclosure relates to a directed electric vehicle charging system for generating revenue and methods thereof. More particularly, this disclosure describes a telematics service provider that maintains relationships with charging stations and their associated stores such that revenue may be realized by directing vehicles to those charging stations. In an illustrative embodiment, the telematics service provider may receive a charge event from a vehicle and in turn, the provider provides an appropriate charging station to that vehicle. An amount spent at the charging station including its associated stores are tracked when the vehicle charges at the charging station. After completing the charging and the vehicle leaves the area, the amount spent is tallied and provided to the telematics service provider. A portion of the amount spent may then be sent to the telematics service provider for the recommended charging station.