Retail Customer Insight Profiling
This AI solution analyzes shopper behavior, transactions, and engagement across channels to build rich, dynamic customer profiles and segments. By powering personalized recommendations, targeted experiments, and tailored journeys, it helps retailers increase conversion, basket size, and customer satisfaction while optimizing merchandising and marketing spend.
The Problem
“Dynamic customer profiles & segments that power retail personalization at scale”
Organizations face these key challenges:
Segments are static, manual, and inconsistent across channels (POS vs e-comm vs CRM)
Personalization is shallow (rules-only) and hard to attribute to revenue lift
Data is siloed; identity resolution and event timelines are unreliable
Merchandising and marketing experiments are slow due to poor audience targeting
Impact When Solved
Technologies
Technologies commonly used in Retail Customer Insight Profiling implementations: