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Data Analytics Retail 추천

AI Customer Analytics for Retail

Leading Retail Group · Retail

Built a real-time AI system to analyze customer behavior patterns, driving higher sales and satisfaction scores.

+35%
Revenue Lift
-22%
Cart Abandonment ↓
+48%
Customer LTV
+18
NPS Score

! The Challenge

The retailer held massive customer datasets but lacked effective analytical tools. The marketing team could not identify which customer segments had the highest purchase intent, nor which products to promote to which segments.

Our Solution

We designed and built an end-to-end AI platform ingesting data from all touchpoints (POS, website, app), analyzing behavior patterns, and powering a real-time recommendation engine.

결과

  • 35% total revenue increase in the first 6 months
  • 22% reduction in cart abandonment
  • 48% increase in customer lifetime value
  • NPS score improved by 18 points

Tech Stack

Python TensorFlow Apache Kafka PostgreSQL React AWS

기간

5 months

Key Outcome

35% revenue increase within 6 months

Tags

AIAnalyticsCRMRetail
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