Retail Giant Boosts Revenue 40% With AI-Powered Personalization Engine

Intro

A major retailer had rich customer and product data but generic digital experiences that failed to reflect individual preferences.

Merchandising teams needed AI capabilities that could scale across brands without sacrificing governance or speed.

The Problem

Recommendation logic was siloed across channels, producing inconsistent customer journeys.

Manual campaign creation could not keep pace with seasonal demand and regional variation.

Legacy data pipelines delayed experimentation and made model performance hard to measure.

The Solution

ACG implemented a personalization platform that connected data, models, and customer touchpoints:

The engagement delivered:

• ✦Unified customer feature store for real-time personalization
• ✦Recommendation services integrated into web, mobile, and email journeys
• ✦Experimentation framework to measure uplift by segment and channel
• ✦Content automation workflows to support localized merchandising at scale

Personalization became a repeatable capability instead of a one-off initiative.

The Impact

The program delivered strong commercial outcomes:

The retailer shifted from static merchandising to adaptive, AI-driven customer engagement.