Case Study
Aditya Birla Fashion and Retail Drives a 13% Lift in AOV Across 6 Brands by Personalizing Key Commerce Touchpoints
The Results
0
%
lift in recommendations driven AOV on Pantaloons and The Collective
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%
of attributable sales on Pantaloons
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%
attributable sales on The Collective
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%
lift in Revenue Per 1,000 views for AI-driven recommendations vs merchandised recommendations on Pantaloon
Client Overview

Personalizing All Path-to-Purchase Commerce Touchpoints
- ABFRL has deployed Algonomy’s AI-powered personalization suite, which comprises:
- Recommend™ (personalized product recommendations)
- Find™ (personalized commerce search)
- Discover™ (personalized browse and navigation)
- Engage™ (personalized content)
- These solutions are live across the ABFRL brands – Pantaloons, The Collective, and Super App.
- Algonomy’s solutions combine real-time browsing behavior with enterprise-wide customer data to create real-time, unified customer profiles that guide contextual, individualized experiences across all customer channels—including website, app, email, and in-store.
- The solutions offer the retail industry’s only no-code Data Science Workbench and Configurable Strategies, which help ABFRL’s marketing and merchandising teams build, test, and iterate personalization strategies on the fly.
“Algonomy’s AI-infused personalization tech has helped us individualize all path-to-purchase digital commerce touchpoints—search, recommendations, browse, and content—to deliver a more holistic and connected customer experience.”
Personalization Use Cases on the Pantaloons Online Store
Helping Shoppers Experience 4 Popular Brands in 1 Intuitive ‘Super App’
Unifying the Online & Offline Shopping Experience with The Collective & Super App
“Shoppers today expect their digital shopping experience to be quick, seamless, and personalized as per their individual tastes and intent. Algonomy’s end-to-end personalization solution was the perfect fit, given our massive scale and speed requirements.”
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