Space Optimization Team
Space Optimization at The Home Depot leverages data science to drive optimal in-store business decisions for the Home Depot stores. The objective is to drive sales and margin growth, improve on-shelf availability, improve customer shopping experience, and also maximize store labor efficiencies. The Space Optimization team integrates diverse data, builds technical solutions, and supports the business with optimal space allocation, arrangement and adjacency recommendations at both macro and micro levels. Typical projects include new store openings, store remodels, capital resets, and category reviews. Key competencies are mathematical modeling, problem solving, programming, data mining, insights visualization, communications, and relationship building.
We’re an Innovation Lab, operating within The Home Depot, finding competitive edges with predictive analytics. We get to have a massive impact on a 100 Billion dollar company, given that we are impacting product pricing, assortment, margins and share. We are the tiger team, focused on the CEO’s agenda, and we work on the high impact projects across the company, not in one functional area. We’re a polyglot team combining science with engineering, and we are lean and experimental. We’re engineers, analysts and scientists. We look for high leverage problems and attack them with the freedom to take risks. Our team is small, with little hierarchy so everyone has an opportunity to make an impact
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