Case Study: Bestseller India achieves smarter fashion planning and forecasting with IBM AI and IBM Garage

Bestseller India works smarter with an intelligent IBM solution

Bestseller India, the fast-growing fashion retailer behind brands like Only, Jack & Jones and Vero Moda, was struggling to understand why its top-selling label was slowing down in India’s highly diverse and fragmented market. The company turned to IBM, looking for a partner that understood both fashion and advanced technology, and used IBM Consulting and IBM Garage to explore how AI could replace instinct-based planning with data-driven decisions.

IBM helped Bestseller India build Fabric.ai, the country’s first AI-powered fashion planning and forecasting tool, using IBM Watson, IBM Cloud Kubernetes Service and intelligent workflows. The platform improved preseason design, assortment planning, and store-level forecasting, helping teams predict product performance and focus on higher-value work; it was first launched for Only and was designed to scale to additional brands. The solution also supported sustainability goals by helping reduce waste and align production more closely with demand.

Bestseller India

Ranjan Sharma

CIO and Head of Supply Chain