Generating bundled sets from predetermined card parameter configurations utilizing machine-learning
US12400212B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2022 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Oct 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/355
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize machine-learning to automatically generate card management programs with varying configurations of card parameters. For example, the disclosed system determines predetermined card parameter configurations from different card parameter categories for generating a card management program. In particular, the disclosed system utilizes a machine-learning model to generate card usage scores for various combinations of the predetermined card parameter configurations. The disclosed system utilizes the card usage scores generated by the machine-learning model to generate a bundled set of parameter configurations including a combination of a subset of the predetermined card parameter configurations. The disclosed system also provides the bundled set of parameter configurations as a recommendation for generating the card management program.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.