We collect and integrate customer data from all available touchpoints, using Supabase as a centralized data repository. This provides a unified view of customer behavior, enabling effective analysis.

We define key customer metrics and behaviors that are crucial for predictive analysis. These metrics help us understand what drives customer engagement and loyalty, providing insights for future actions.

Using TensorFlow, we develop machine learning models that predict future customer actions based on historical data. These models help identify patterns in purchasing behavior, engagement, and churn risks.

We deploy predictive models into your systems using Vercel and Supabase Functions. These models provide actionable insights in real time, empowering you to make informed decisions and personalize customer experiences.

We continuously refine the predictive models based on new data, ensuring that predictions remain accurate and relevant as customer behaviors evolve. This approach ensures you stay ahead of customer needs.