Machine learning based vehicle service recommendation system
US12277535B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 24, 2024 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | Jan 24, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device receives current vehicle data that describes a current state of each of a plurality of components of the vehicle. The device accesses historical data describing prior services previously performed on the vehicle and applies the current vehicle data and the historical vehicle data to a trained machine learning model to obtain a set of recommended services, where the model was trained using labeled training data associated with additional vehicles having a threshold similarity to the vehicle. The machine learning model is trained to output a set of recommended services to be performed for a given vehicle based on inputs of given current vehicle data and given historical vehicle data for the given vehicle. The device outputs for display the set of recommended services to be performed on the vehicle to a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.