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Retail
Data Science
AI & ML
35% Revenue Increase Through Predictive Analytics
MegaMart Retail
+35%
Revenue
-25%
Inventory Costs
92%
Forecast Accuracy
The Challenge
The retail chain had years of transaction data but no way to extract actionable insights. They were losing customers to competitors and couldn't predict demand accurately, leading to overstocking and stockouts.
Our Solution
We built a comprehensive data platform with customer segmentation, demand forecasting, and personalized recommendation engines. The insights were delivered through real-time PowerBI dashboards.
The Results
Measurable impact that transformed the client's operations
Revenue increased by 35% through personalized marketing
Inventory costs reduced by 25%
Customer churn reduced by 18%
Demand forecasting accuracy improved to 92%
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