Predictive Analytics for Dealer Retention & Inventory Optimization in Asian Pharmaceuticals

Predictive Analytics for Dealer Retention & Inventory Optimization in Asian Pharmaceuticals

Pharmaceutical Company

Leveraging a churn prediction model to identify dealers at high risk of attrition. Utilized ML clustering for advanced segmentation based on geography, profitability, and purchase behavior. Applied predictive analytics to forecast inventory returns, enhancing
logistic planning. Uncovered cross-sell and upsell opportunities through pattern analysis of historical purchase data.

A leading pharmaceutical distributor in Asia with a strong presence across over 30 countries.

85%+

Churn Prediction Accuracy

30%

Reduction in Inventory Returns

40%

Improvement in Lead Conversion Rates

Asia

Regional Presence

Challenges

  • Variability in dealer retention rates leads to unpredictable sales outcomes.
  • Inconsistent return patterns of inventory disrupt supply chain stability.
  • Limited insight into potential cross-selling and upselling opportunities hampers revenue growth.
  • Ineffective segmentation of dealers results in generic strategies and missed engagement opportunities

InfraBeat Solution

  • Developed a robust churn prediction model to identify dealers at high risk of attrition.
  • Performed advanced segmentation of dealers using ML clustering on attributes like geography, profitability, and purchase behavior.
  • Applied predictive analytics to forecast inventory returns and improve logistic planning.
  • Uncovered cross-sell and upsell opportunities through pattern analysis of historical purchase data.

Key Achievements

  • Achieved 85%+ churn prediction accuracy, enabling proactive retention strategies.
  • Reduced unpredictable inventory returns by 30%, enhancing supply chain stability.
  • Enabled to boost in sales through targeted campaigns and dealer-specific offers.

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Success Story

Drives Business Growth with Optimized SAP AMS Excellence