Technologies for using machine learning to manage product catalogs
US12229717B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2023 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Apr 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Systems and methods for using machine learning to dynamically manage product catalogs are disclosed. According to certain aspects, a set of machine learning models may analyze a set of data identifying a product to create or update a data record associated with the product, where the set of machine learning models may include a brand assignment model, a category assignment model, and a tag assignment model. Further, an entity resolution model may refine the data record, which may be organized according to a set of hierarchical data for the product. Additionally, a product catalog may be updated to identify the product according to the set of hierarchical data for the product.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.