Duplicate work
Information copied between emails, spreadsheets and systems.
What we solve
Business problems hiding in plain sight.
We look for friction that is expensive, repetitive, measurable and solvable.
Reporting delays
Managers waiting on IT for answers that already exist in the data.
Disconnected systems
ERP, CRM, accounting and spreadsheets telling different versions of the truth.
Repeated decisions
People applying the same rules over and over instead of reusing a proven workflow.
Our principle
AI is a tool, not the objective.
Sometimes the answer is AI. Sometimes it is automation. Sometimes it is simply a better process.
Where this shows up
Four workflows, proven on real operations.
These are not hypothetical service lines. Each one is a workflow we built and ran, with a case study behind it.
Pillar 1
Receiving & Intake Automation
Photograph a unit once and AI identifies it, prices it and builds the product record — no manifest, no manual lookup.
Pillar 2
AI Product Data & Marketplace Automation
AI-driven attribute research and marketplace-ready listing data, generated at the speed of the catalog instead of one part number at a time.
Pillar 3
Digital Warehouse Execution
Paperless, wave-based picking with live order visibility and automatic protection against cancelled orders that ship anyway.
Pillar 4
Inventory Accuracy & Reconciliation
Barcode-driven cycle counting that reconciles itself — automatically identifying missing and mislocated inventory as it’s scanned.
The test
An AI project has to do one of six things. Otherwise it is a science experiment.
This is the filter we run every idea through before a dollar is spent. If a project cannot name which of these six it moves — and roughly by how much — it does not get built. It is the difference between AI that shows up in your financials and AI that shows up in a slide deck.
Save money
Take real cost out — labor hours, rework, overtime, third-party spend — in a number you can point at on the P&L.
Improve speed
Shorten a cycle that customers, cash flow or the next department are waiting on. Days to hours, weeks to days.
Improve accuracy
Fewer errors entering the system in the first place, so nobody downstream is cleaning up records or arguing about which number is right.
Reduce human touches
Every hand-off is a delay and a chance to introduce an error. Touching the work once beats touching it five times, even when each touch is fast.
Increase revenue
Sell more of what you already have — better listings, faster quotes, faster time to market, capacity you could not reach before.
Increase profitability
Margin, not just volume. Sometimes that is cost out and sometimes it is mix, pricing or which work you stop doing altogether.
Most of the good ones hit three or four at once.
The intake workflow in our case study cut labor cost 81%, tripled throughput, dropped identification to under 30 seconds, took the process from several human touches to one, and improved the product data that drives sell-through. That is five of the six from a single project — which is what a problem worth solving usually looks like.
Our approach
We teach the finding, not just the fixing.
Most companies that need this work have never had anyone whose job was to hunt for waste — no continuous-improvement team, no Lean black belt, no internal analytics group. The friction is still there. Nobody has been asked to go looking for it.
First, how to spot it
Your team learns the pattern we look for: friction that is expensive, repetitive, measurable and solvable. Not this one instance of it — the pattern, so they recognize the next one on their own.
Then, how to fix it
How to point AI, automation or a redesigned process at what they found — and, just as important, how to tell which of the three the problem actually calls for.
Then we step back
Superusers and AI Champions who can operate and extend what was built, so the capability stays in the building when the engagement ends.
Why it works this way
Teach them to fish. Don’t hand them a caught one.
A consultant who solves the problem and leaves has sold you exactly one fish. You are back on the phone the next time something breaks. We would rather your team walk away able to find the next problem, and the one after that, without calling us.
Start with a conversation
What problem is costing you more than it should?
Let’s spend 30 minutes looking for the first problem worth solving.