Employee concierge

US11392835B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Chung-Sheng Li · Scarsdale, US
• Emmanuel Munguia Tapia · Newark, US
• Guanglei Xiong · Pleasanton, US
• Jill K. Goldstein · Fort Lauderdale, US
• Jingyun Fan · Berkeley, US
• Rajeev Sinha · Kanchinakote, IN
• Manoj SHROFF · Kanchinakote, IN
• Golnaz Ghasemiesfeh · Sunnyvale, US
• Kayhan Moharreri · San Jose, US
• Swati Tata · Bengaluru, IN
• Pratip Samanta · Kanchinakote, IN
• Madhura Shivaram · Savanuru, IN
• Akanksha Juneja · Dwarka, IN
• Anshul Solanki · Manesar, IN
• Jorjeta Jetcheva · San Jose, US
• Priyanka Chowdhary · San Francisco, US
• Rishi Vig · Kanchinakote, IN
• Kyle Patrick Johnson · San Francisco, US
• Mohammad Ghorbani · Foster City, US

Key dates

• Filing date: Aug 31, 2018
• Grant date: Jul 19, 2022
• Expiry date: Feb 13, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Examples of employee concierge are provided. In an example, an issue may be determined for an employee. The issue may be determined based on a query shared by the employee or upon occurrence of an unusual event. The unusual event may be indicative of a deviation in behaviour and routine of the employee. A session may be initiated and the issue may be parsed to determine a context. A bot may be selected from multiple bots for the issue where each bot includes information relating to a solution to address the issue. Data associated with the issue may be collected from a central database and other bots. The data may then be analyzed to determine a solution. The solution comprises a response to the query and a suggestion to mitigate the unusual event.