AI-Driven Customer Retention Analytics for Subscription Services

As a burgeoning startup in the Subscription Economy, we aim to address the challenge of customer churn—a critical issue affecting our growth and revenue stability. Our project seeks to develop an AI-driven analytics solution that utilizes advanced machine learning models to predict customer churn and recommend targeted retention strategies. By integrating technologies like the OpenAI API, TensorFlow, and PyTorch, this platform will analyze vast datasets of customer interactions and subscription patterns, providing actionable insights. We will employ predictive analytics to identify at-risk subscribers and utilize natural language processing (NLP) to tailor communication and offers. The solution will enable subscription businesses to proactively engage with customers, thus reducing churn rates and improving lifetime value. Our project has a high urgency level, requiring completion within 4-6 weeks, as it aligns with our strategic goal of optimizing customer engagement and retention in a highly competitive market.