Omnichannel Retail Format Strategy
This application focuses on using data and advanced analytics to decide the optimal role and design of physical stores within an omnichannel retail model. It guides where to open, close, resize, or redesign stores; how to integrate them with e‑commerce; and how to allocate investment between digital and physical channels. The goal is to understand when and how stores create unique customer and economic value versus online, and how to orchestrate formats, services, and experiences across the full customer journey. It matters because retailers face structural shifts in consumer behavior, rising digital penetration, and high fixed costs in store networks. Poor decisions on store formats and channel mix can lock in unprofitable footprints or undercut growth. By combining historical performance, customer behavior, local demand signals, and operational constraints, this application supports more accurate, dynamic decisions on store strategy, format innovation, and human/automation task mix in stores—improving profitability, capital productivity, and customer experience simultaneously.
The Problem
“Omnichannel store network decisions powered by forecasting + scenario optimization”
Organizations face these key challenges:
Store decisions rely on spreadsheets, inconsistent assumptions, and executive intuition
Hard to quantify store halo effects (online lift, returns handling, pickup convenience)
Forecasts don’t reconcile across channels (store vs. e-com) or by micro-market