Case Study: Aditya Birla Fashion and Retail achieves 13% lift in AOV across 6 brands with Algonomy's AI-powered personalization

Drives a 13% Lift in AOV Across 6 Brands by Personalizing Key Commerce Touchpoints

Aditya Birla Fashion and Retail (ABFRL) sought to hyper-personalize shopping experiences across channels and key commerce touchpoints—product recommendations, search, category pages and content—as part of its digital transformation across 37.2M customers and 3,648 stores. After a rigorous selection, ABFRL chose Algonomy and deployed its AI-powered personalization suite: Recommend™, Find™, Discover™ and Engage™.

Algonomy built real-time unified customer profiles and a no-code data science workbench to power personalized recommendations, search, browse and content across Pantaloons, The Collective and the Super App, while also unifying online and offline experiences (e.g., Store Mode). Algonomy’s solution delivered measurable impact: a 13% lift in recommendation-driven AOV on Pantaloons and The Collective, 71.90% and 77.48% attributable sales on Pantaloons and The Collective respectively, and a 34% lift in revenue per 1,000 views for AI-driven recommendations on Pantaloons.

Aditya Birla Fashion and Retail

Varun Rajwade

AVP – Product, Design & Digital CX