The operator behind the tools.

Five years as a Supply Chain Analyst at BSH — one of the world’s largest home-appliance manufacturers — deep inside end-to-end supply-chain operations: the flow of material through real plants and the systems that run it, from planning and sourcing to production, logistics, warehousing and engineering. Not adjacent to it, not advising on it from a deck: actually running the parts most software is built without ever touching — down to the MRP and BOM mechanics underneath.

That’s the moat. When the problem is a tangle of planning logic, material constraints, and the gaps your ERP left behind, I understand it in operational terms before a single line of code exists — so what gets built solves the real problem, not a tidy abstraction of it.

And the AI half isn’t new. A passion for it ran alongside the operations work the whole way — and it’s now formally part of my role, helping shape the path, scope, and implementations of AI across the company’s North America region.

The same instinct travels. Strip the domain away and the job is constant: find the hard, specific, one-off problem nobody will build a product for — and ship the exact tool that solves it.

But the part that actually drives me isn’t the building — it’s the sharing. AI is the biggest leveler small business has ever had. The shop running on spreadsheets can have its data turned into a working tool today, and own the custom system it runs on tomorrow — no enterprise budget, no license, no asking permission.

The businesses that harness that won’t just keep up; they’ll own what they used to buy off the shelf. That’s the new shape of the American Dream — and helping more of them reach it is the whole point of AppliedIQ.

See where that’s pointed — my focus on local small business →