Company Filing History:
Years Active: 2022-2023
Title: Tejas Naren Tennur Narayanan: Innovator in Customer Support Technology
Introduction
Tejas Naren Tennur Narayanan is a notable inventor based in Austin, TX, who has made significant contributions to the field of customer support technology. With a total of four patents to his name, he has developed innovative systems and methods that leverage artificial intelligence and machine learning to enhance customer service experiences.
Latest Patents
One of Tejas's latest patents is an "Intelligent scoring model for assessing the skills of a customer support agent." This invention discloses systems and methods for evaluating the performance of customer support agents using AI/ML models. The process involves establishing benchmarks derived from historical customer service data, which are then used to monitor and assess agent performance during customer interactions.
Another significant patent focuses on "Assigning customer calls to customer care agents based on compatibility." This methodology generates compatibility scores for both callers and available agents, optimizing for caller satisfaction and potential upsell opportunities. By matching these scores, the system effectively assigns the most suitable agent to each call, enhancing the overall customer experience.
Career Highlights
Tejas Naren Tennur Narayanan is currently employed at Dell Products Inc., where he continues to innovate in the realm of customer support technologies. His work has been instrumental in developing solutions that improve the efficiency and effectiveness of customer service operations.
Collaborations
Tejas collaborates with talented individuals such as Sathish Kumar Bikumala and Karthik Ranganathan, contributing to a dynamic team focused on advancing customer support solutions.
Conclusion
Tejas Naren Tennur Narayanan is a forward-thinking inventor whose work in customer support technology is paving the way for more efficient and effective service solutions. His innovative patents reflect a deep understanding of the intersection between technology and customer satisfaction.