Key results
The company
Wipro Enterprises
wiproenterprises.comConsumer goods, lighting, and diversified industrial engineering solutions.
Result highlights
- 15-20% increase in product lines per outlet
- 30-40% repeat purchase rate at new outlets
The story
One of the fastest-growing consumer goods businesses in Asia, Africa, and the Middle East serves a complex market of millions of independent mom-and-pop stores.
Sales representatives relied on memory to recommend products from a vast catalog where a single brand could have over 30 unique SKUs. Critical data was trapped in isolated systems and manual Excel extracts, preventing the real-time analysis needed to support a high-turnover workforce.
The organization deployed a recommendation engine on Vertex AI that analyzes local buying trends to generate dynamic "must-stock" lists for field representatives. Google Maps Platform identifies unserved stores to optimize routes for teams focused on recruiting new outlets. A centralized data foundation on BigQuery aggregates distribution metrics into real-time dashboards for regional managers.
Quotes
“To make our sales transformation science-driven, we knew we would require a data platform to consolidate all this data, not just for reporting, but for large-scale analytics.”
Implementation partner
Accenture
accenture.comServed as technology implementer and strategic consultant for Wipro's sales transformation.