Back to results
US 2026/0289451 A1Published application
System
AssigneeSoftBank Group Corp.
InventorMasaomi KAWAAI
Life of this patent
Estimating the term…
Abstract
A system includes a processor that is configured to provide an interface for inquiring about a state and a spending plan of a user, generate a prompt for instructing a generative AI model to present one or more optimal options, input the generated prompt to the generative AI model, and present to the user at least one optimal option based on an output from the generative AI model.
Claims20
A system comprising:
- circuitry configured to:
- receive, from a terminal apparatus via a packet-switched network, entity state information and expenditure constraint information;
- acquire resource item data from a storage medium, the resource item data including item identifiers, attribute values, quantity values, and availability indicators;
- construct a parameterized instruction sequence based on the entity state information, the expenditure constraint information, and the resource item data, the parameterized instruction sequence specifying a candidate generation task for a generative neural network model;
- provide the parameterized instruction sequence to the generative neural network model to cause the generative neural network model to generate candidate option data comprising a plurality of candidate resource item combinations;
- and
- verify the candidate option data against the resource item data and the expenditure constraint information to generate validated option data satisfying resource availability conditions and expenditure constraint conditions, and transmit the validated option data to the terminal apparatus via the packet-switched network.
4 more elements
A system comprising:
- circuitry configured to:
- receive, via a communication interface coupled to a packet-switched network, entity state information and expenditure constraint information from a terminal apparatus;
- acquire resource item data including item identifiers, quantity values, and availability indicators, and historical transaction data from a storage medium;
- construct a parameterized instruction sequence based on the entity state information, the expenditure constraint information, the resource item data, and the historical transaction data, the parameterized instruction sequence including a resource utilization directive;
- provide the parameterized instruction sequence to a generative neural network model having a transformer-based architecture including a plurality of self-attention layers to generate candidate option data;
- verify the candidate option data against the resource item data and the expenditure constraint information to generate validated option data, and compute suitability scores for the validated option data based on resource surplus levels and expenditure alignment;
- and
- transmit the validated option data to the terminal apparatus, receive selection data, generate transaction data, and update the resource item data in the storage medium based on the transaction data.
5 more elements
A method performed by circuitry, the method comprising:
- receiving, from a terminal apparatus via a packet-switched network, entity state information and expenditure constraint information;
- acquiring resource item data from a storage medium, the resource item data including item identifiers, attribute values, quantity values, and availability indicators;
- constructing a parameterized instruction sequence based on the entity state information, the expenditure constraint information, and the resource item data, the parameterized instruction sequence specifying a candidate generation task for a generative neural network model;
- providing the parameterized instruction sequence to the generative neural network model to cause the generative neural network model to generate candidate option data comprising a plurality of candidate resource item combinations;
- and
- verifying the candidate option data against the resource item data and the expenditure constraint information to generate validated option data satisfying resource availability conditions and expenditure constraint conditions, and transmitting the validated option data to the terminal apparatus via the packet-switched network.
3 more elements
Dependencies are inferred from the claim text.