Customer Lifetime Value (CLV) Prediction With Machine Learning and DB Querying With LLM

This post discusses the prediction of Customer Lifetime Value (CLV) for auto insurance clients using machine learning and database querying with LLM. It covers data extraction and cleaning, exploratory data analysis, machine learning model selection and optimization, user interface for CLV prediction, and a Q&A interface for data retrieval. The project aims to improve customer retention, enhance marketing effectiveness, facilitate data-driven decision-making, and provide a user-friendly experience.