How to Automate Retail Operations with AI

Across ERP, WMS, POS, and planning systems, data isn't connected, contextualized, or usable in the moment decisions need to be made. The result is costly. Inventory distortion alone accounts for $1.7 trillion in lost revenue and margin every year, driven by stockouts and excess inventory that no system is designed to reconcile in real time.  

At the same time, most AI initiatives fail to bridge that gap. While pilots often perform well in controlled environments, 74% never scale to deliver real business impact, largely because they’re built on fragmented data and disconnected workflows.

This ebook is a practical guide for retail leaders who need to move beyond dashboards and proofs of concept. It outlines how to build a unified, decision-ready data layer, without replacing existing systems or committing to multi-year implementations.

• Why most retail AI initiatives fail to scale, and what the top performers do differently
• How to unify fragmented data into a real-time, decision-ready intelligence layer
• How to automate and prioritize inventory decisions to reduce stockouts, excess, and manual work