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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

! 도전 과제

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.

솔루션

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

기술 스택

Python TensorFlow Apache Kafka PostgreSQL React AWS

기간

5 months

핵심 성과

35% revenue increase within 6 months

Tags

AIAnalyticsCRMRetail
진행 방법

간단한 3단계

아이디어에서 출시까지 — 모든 단계를 함께합니다

1

요구사항 전달

24시간 언제든 편한 채널로 요청해 주세요

2

견적 받기

일정과 예산을 빠르게 평가하여 견적을 드립니다

3

Get Started!

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문의하기

무료 상담 — 일정, 예산, 범위를 산정합니다. 온라인 또는 방문.