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

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