Churn Radar

Inspiration

Arca Continental manages thousands of commercial accounts, making it difficult to identify which customers are at risk of stopping their purchases. We wanted to create a solution that helps commercial teams focus their efforts where they can generate the greatest impact before revenue is lost.

What it does

Churn Risk Radar is an internal platform designed for Arca Continental that combines predictive analytics with commercial execution. The platform includes: A secure login system for authorized users. Executive dashboards that visualize churn risk, territory performance, and key business metrics. A commercial management module where teams can review prioritized customers, track follow-up actions, and monitor retention efforts. Our goal is not only to predict churn, but to help teams act on those predictions.

How we built it

We built the solution using Python, Pandas, Plotly, React, and Tailwind CSS. Python was used to process data and generate predictive insights, while Plotly created interactive visualizations. React was used to develop the web platform, including authentication, dashboards, and the commercial follow-up module. The result is a single environment where users can move from analysis to action.

Challenges we ran into

One of our biggest challenges was transforming large volumes of customer data into information that commercial teams could easily understand and use. Another challenge was integrating data analytics, dashboard visualizations, and customer follow-up functionality into a single platform with a consistent user experience.

Accomplishments that we're proud of

Developed a complete web platform instead of only a predictive model. Integrated login, dashboard analytics, and commercial management workflows. Created interactive visualizations that support business decision-making. Connected predictive insights with customer follow-up actions. Built a solution specifically aligned with Arca Continental's commercial needs.

What we learned

We learned that successful AI projects require more than accurate predictions. The real value comes from presenting insights in a way that enables users to make faster and better decisions. We also gained experience integrating machine learning outputs with business-focused web applications.

What's next for Churn Radar

Future versions could include real-time data updates, automated recommendations for commercial representatives, customer interaction history, and performance tracking to measure the effectiveness of retention actions. Our vision is to make Churn Risk Radar a central decision-making tool for Arca Continental's commercial teams.