Case Study: ABFRL achieves faster insights and improved retail profitability with Databricks

Enabling business growth with happier consumers

ABFRL, the retail company behind Aditya Birla Fashion and Retail Ltd., needed a scalable way to combine structured and unstructured data from many sources so regional teams could get faster insights on demand, pricing, assortment, and customer behavior. To support future growth and better consumer experiences across 4,000 retail locations, ABFRL chose Databricks as its data, analytics, and AI platform.

With Databricks, ABFRL cut model development time from three to four months to about half that, and reduced insight turnaround from six months to just two to three weeks. Databricks also helped ABFRL automate markdown recommendations, improve supply chain decisions, personalize retention campaigns, and generate thousands of product descriptions in hours instead of days, all while enabling teams to do more with fewer resources.

ABFRL

Praveen Shrikhande

Chief Digital and Information Officer