Customer
Leading Retail Chain
Location
India
Segment
Retail
Solution
Sales Forecasting
Customer Profile
India’s Leading retail Chain with more than 270 stores
Problem Statement
In fast-moving consumer retail, overstocking and stock-outs lead to spiraling costs, reduced profits & customer churn. Primary reasons for these two problems are inaccurate planning due to unavailability of the data-driven solution and unaccounted external factors such as weather, holidays, economic situation, public events, etc.
BluePi’s Solution
BluePi has built a Sales Forecasting solution that reduces
- Uncertainty in the inventory procurement
-
Overstocking & stock-outs Using this system, the stores don’t have to rely on in-store manager’s intuition and instead use Artificial Intelligence. There are two parts of the solution:
- Reporting: Centralized system builds on Redshift generates and shares to all stakeholders.
- Forecasting: Forecast sales for a week in advance. Amazon Sagemaker is a great tool that we have used to build, train and deploy forecasting models
Value Added
- Per article category forecasting with an accuracy of 80%
- Reducing stock-outs and overstocking by at least 20%.
AWS Service used
EC2, S3, DMS, Redshift, Sagemaker