Tableau Customer Story
Revealer – India’s largest gadget retailer combined data from different data sources and optimized customer stocks , saving a potential loss of USD 50 Million.
Potential loss of USD 55 Million a year in revenue was found due to manual optimization of stock across 400+ retail stores. Revealer combined the Sales and Inventory data from different sources using Tableau and helped customer optimize the stock and saved around USD 50 Million a year.
Revealer helped the retailer using Tableau + R to Optimize stock by predicting the sales of each outlet
Recommendation engine was built for Procurement and Inventory decision makers
Multiple data source (Sales and Inventory) were integrated easily at Tableau layer
Alert dashboards designed to prevent the out of stock scenario of fast-moving SKUs
Manual procurement process is aborted
Stock prioritization metrics at Store Manager level helped to democratize data for faster decision making