Retail Optimization

The goal of our client, a Fortune 50 retail & pharmacy company, was to reduce floor space within their brick-&-mortar stores. This project allowed the client to determine what products could be removed and/or minimized while keeping their metrics (sales, profitability, orders, etc.) intact.

Project Details

  • Machine Learning, Predictive Modeling & Advanced Data Science techniques to provide optimization models.
  • Collaboration with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mined & analyzed data from company databases to drive optimization & improvement of product development, marketing techniques & business strategies.
  • Developed processes & tools to monitor & analyze model performance & data accuracy.

Business Outcomes

  • Identified the optimal way to determine what products to remove or add not to impact sales, profitability & metrics.
  • Reduced the amount of space they had in store while not significantly impacting metrics.
  • Provided Predictive Modeling to increase & optimize customer experiences, revenue generation, advertising targeting & other business outcomes.