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Driving Sales Insights and Churn Prediction with Data Analytics

Client: Multi-country consumer goods retail network | Solution: Data-driven churn prediction and outlet performance insights.

Sales teams lacked critical insights to act quickly

The client faced challenges with inconsistent outlet performance, lack of early churn signals, and slow reporting cycles. This limited their ability to proactively address sales declines and optimize strategies in real-time, relying on outdated data and manual reporting processes. 

Solution 

Calsoft introduced a centralized analytics model to transform sales data into actionable insights, providing predictive churn signals, outlet performance visibility, and improved sales team management. 

  • Time-series analytics for consistent regional and category insights 
  • Outlet ranking dashboards offering week-over-week and month-over-month comparisons 
  • Churn prediction model using historical buying and activity patterns 
  • Sales team leaderboard for performance tracking, coaching, and territory alignment 

Business Value

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Revenue visibility
Revenue visibility
Delivered clearer revenue signals, improving performance assessment
Churn risk detection
Churn risk detection
Enabled early identification of declining outlets through behavior analysis
Outlet performance
Outlet performance
Facilitated targeted engagement for low-performing and dormant outlets
Sales effectiveness
Sales effectiveness
Increased transparency and coaching opportunities through leaderboards
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To Know More

About how we can align our expertise to your requirements, reach out to us.

Building Insights for Sales Data and Churn Prediction