Method for capturing and storing contact information from a physical medium using machine learning
US12079706B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 30, 2019 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | May 9, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are systems and methods for facilitating the information entry and task updates to a task database in a cloud server. The task database is in synchronization with a customer relationship management (CRM) system. The systems and methods described herein enable users to update the task database and enter information into the task database in a timely manner such that the task database can stay updated. The updated database can be used to construct a suggested task set at the beginning of a period of time to meet a preset target sales value for the end of the period of time. In one embodiment, a system includes a mobile application to capture contact information from a physical medium as an image, and to send the image to a cloud server, where a trained neural network model is to extract contact details and send the contact details back to the mobile application for editing and confirmation by a user. The confirmed contact details can then be persisted into the task database as a new task, part of a new task, or part of an existing task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.