I led the design and delivery of a world-first SaaS and AI platform that transformed retail data into actionable insights, enabling enterprise adoption, multi-million-dollar revenue growth, and improved in-store performance.
RPM Retail was a small consulting business looking to scale its services beyond traditional, human review and manual reporting. The challenge was how to take large volumes of retail data from POS and inventory systems and make it usable in a way that could drive consistent improvements across multiple stores, while allowing operational scale beyond the availability of experienced human consultants.
The core issue wasn’t access to data, it was the gap between data and action. Store managers and staff didn’t need more reports; they needed clear, practical guidance that could influence day-to-day decisions and behaviors.
I led the design and delivery of a SaaS and AI-driven platform that translated complex retail data into plain-English action statements, and allowed scale through automation.
The platform combined:
Key business results included:
The platform changed how store managers and staff engaged with data, shifting from passive reporting to active decision-making. Instead of reviewing reports, teams were guided toward specific actions that influenced sales, stock management, and merchandising behavior on a daily basis.
This project reflects how I combine strategic insight, hands-on leadership, and operational execution to deliver measurable outcomes. I was fortunate to lead a highly capable team, whose collective efforts made these results possible. If you’d like to explore how this approach could be applied to your organization, I welcome you to start a conversation.