Abstract
The intersection of direct-to-consumer strategies and AI insights is revolutionizing the automotive industry, particularly in pre-sales "Voice of the Customer" understanding. AVATR's DTC AI Solution deeply explores this, focusing on phone interactions, store consultations, and AVATR APP engagements. Utilizing advanced NLP tech, we analyze key metrics like purchase intent, interests, concerns, often missed by traditional methods. Our approach actively seeks consumer behavior subtleties, providing actionable insights. Understanding these metrics empowers companies to truly grasp their target users, enhancing marketing precision and boosting test drive and purchase conversions.
Biography
Hongjie (Kevin) Ren is a Data Scientist at AVATR, a global high-end intelligent electric vehicle (SEV) brand, co-created by Changan Automobile, Huawei, and CATL. His research aims to establish and train effective models based on NLP to help businesses improve their pre-sales user test drive conversion rates and purchase rates. He has been the driving force behind critical data analysis endeavors, concentrating on three principal pre-sales user scenarios. In AVATR's Data Applications department, Kevin has extensive experience and achievements in applying machine learning, deep learning, and NLP models to solve practical business purposes. As the team leader, he has spearheaded core data analysis projects in three major pre-sales user scenarios.