Back to results
US 2026/0289477 A1Published application
System
AssigneeSoftBank Group Corp.
InventorYoshifumi KISHI
Life of this patent
Estimating the term…
Abstract
A system includes a processor that is configured to receive a prompt input by a user for instructing acquisition of relevant information from at least one external information source, acquire the relevant information from the at least one external information source based on the prompt, automatically input the acquired information into a database, analyze information input into the database by using statistical analysis and machine learning algorithms to predict future business income and expenditure, and generate, based on a prediction result of the future business income and expenditure, a report in a visually understandable format and present the report to the user.
Claims20
A system comprising:
- circuitry configured to:
- receive, via a communication interface coupled to a packet-switched network, a natural language instruction from a terminal device operated by a user;
- analyze the natural language instruction using a generative neural network model to generate structured workflow data comprising at least an identifier of an external data source, a target acquisition period, and a processing specification;
- acquire, based on the structured workflow data, source data from a plurality of external data sources via the packet-switched network;
- convert the acquired source data into normalized data conforming to a unified data schema and store the normalized data in a storage device;
- execute a prediction computation on the normalized data using a machine learning model to generate prediction result data;
- and
- transmit, via the communication interface, response data comprising the prediction result data to the terminal device for presentation on a display of the terminal device.
5 more elements
A system comprising:
- circuitry configured to:
- receive, via a communication interface coupled to a packet-switched network, a natural language instruction from a terminal device, the natural language instruction specifying acquisition, processing, and presentation requirements for data from external data sources;
- input the natural language instruction as a prompt data sequence into a generative neural network model comprising a transformer-based architecture and obtain structured workflow data comprising at least an identifier of an external data source, a target acquisition period, a type of data to be acquired, and an output format specification;
- acquire, based on the structured workflow data, source data from a plurality of external data sources via the packet-switched network, normalize the acquired source data into a unified data schema, and store the normalized data in a storage device;
- execute formatting, preprocessing, and aggregation operations on the normalized data using a tabular data processing library to generate formatted data;
- execute a time-series analysis operation and a prediction computation on the formatted data using a machine learning model to generate prediction result data comprising at least a future balance value;
- structure the formatted data and the prediction result data as report data sets and provide the report data sets to a visualization processing module to generate a visual report in an interactive dashboard format;
- and
- transmit, via the communication interface, the visual report to the terminal device for presentation on a display of the terminal device.
6 more elements
A method comprising:
- receiving, via a communication interface coupled to a packet-switched network, a natural language instruction from a terminal device operated by a user;
- analyzing the natural language instruction using a generative neural network model to generate structured workflow data comprising at least an identifier of an external data source, a target acquisition period, and a processing specification;
- acquiring, based on the structured workflow data, source data from a plurality of external data sources via the packet-switched network;
- converting the acquired source data into normalized data conforming to a unified data schema and storing the normalized data in a storage device;
- executing a prediction computation on the normalized data using a machine learning model to generate prediction result data;
- and
- transmitting, via the communication interface, response data comprising the prediction result data to the terminal device for presentation on a display of the terminal device.
4 more elements
Dependencies are inferred from the claim text.