The AI Hype Machine vs Your Reality
Every retail executive is being sold the exact same dream. Vague, high-level pitches promise that artificial intelligence will deliver instant, “superhuman” operational capabilities overnight. It creates the illusion that a “solution in a box” is coming to magically clean up your floor plans, organize your data, and optimize your store footprint. Here is the plain-spoken […]
Getting Ready for AI – Part 7 – The 20 Store Sandbox
Most retail leaders get paralyzed by scale. They look at a fleet of 500 or 1,000 stores and ask: “How could we ever afford to clean all that data?” They wait for a magical, enterprise-wide technology package that promises to solve everything overnight. That technology isn’t coming to save messy workflows. If you want to […]
Getting Ready for AI – Part 6 – From Cost Center to Revenue Enabler
For decades, retail store planning has been viewed through a single, limiting lens: an operational cost center. The mandate was simple—turn out store drawings as quickly and cheaply as possible. When store planning is squeezed strictly for cost reduction, spatial data gets treated like disposable scratch paper. Floor plans are drawn, archived as static “artifacts,” […]
Getting Ready for AI – Part 5 – The Real History of Modern AI
In our previous piece, Process Discovery is Your Real AI Strategy, we established a core operational reality: AI is not merely a software procurement exercise. It is a complete operational overhaul. Every retail executive wants the instant magic of enterprise AI. They want to query a store layout, search thousands of locations instantly, and deploy […]
Getting Ready for AI – Part 4 – Process Discovery is your real AI Strategy
Welcome to Part 4 of our series: Getting Ready for AI. In our previous posts, we established why store data must shift from static artifacts to dynamic assets, and why your people must be prepared before you touch new technology. Today, we are tackling the operational engine that connects them: your process. When retail leaders […]
Getting Ready for AI – Part 3 – How Culture Wins at AI
Welcome to Part 3 of our series: Getting Ready for AI. In Part 1, we outlined the broader vision for retail spatial data. In Part 2, we broke down the psychological shift of moving from static artifacts to living assets. Today, we are diving into the most complex and critical element of any technology evolution: […]
Getting Ready for AI – Part 2: From Artifacts to Assets
Welcome to Part 2 of our Summer Series: Getting Ready for AI. Today, we need to talk about a psychological barrier that is quietly holding back retail operations. It isn’t a technology problem. It is a habit problem. For decades, the retail industry has treated store layouts and drawings as artifacts. An artifact is a […]
Getting Ready for AI – Part 1: Intro
My good friend Jeremy Culshaw and I have been talking about artificial intelligence on and off for over a year now. Jeremy is an absolute tech veteran and is currently focused on helping organizations navigate the AI frontier at Signa North. We recently decided to record one of our ongoing discussions to explore what true […]
Why You Don’t Need a Sci-Fi Tech Stack to Move Fast.
Every retail tech vendor out there loves selling this dream of a futuristic, fully automated sci-fi utopia that allows retailers to plan in real time. Let’s look at reality. Most retail brands aren’t there today. Not even close. Their in-store systems are evolving with technology but definitely not an automated system ready to analyze in […]
The Procurement Trap – Upfront Cheap vs Long Term Expensive
As a retail procurement leader, you want to do the right thing. You know that Total Cost of Ownership (TCO) is the real metric that matters. But the reality of corporate tracking means you are often pressured to focus on immediate, upfront contract savings. It is a frustrating tightrope to walk. We want to help […]