At our first engagement, 29% of the shop's owned inventory had quietly stopped selling. Nobody had noticed. In days, the owner had the full picture and a plan to recover the cash.

You track what sells. Nobody tracks what does not.

You can name your best sellers from memory. That is exactly the problem. Winners get watched. The stock that sits does not. It ties up cash, and it ties up display space, crowding the floor and pulling attention from your proven sellers. None of it shows up in a report. Pricing is the same story: set by feel years ago, then rarely reviewed while unit costs and freight climb and margin quietly erodes. One owner called it a judgment call. He wanted a science.

What the diagnostic shows you.

Pull up your owned-inventory number and take 29% of it. That is the question worth a phone call.

The first proof

$28,728 was sitting in the back room.

Dead and slow-moving stock at a Sun Peaks retailer. About 29% of owned inventory. The diagnostic found it and sized it in days. The plan came out of the conversation the data forced: what had stopped selling on its own merit, what was a buying pattern, what needed a different answer on the floor, what was a staff-training opportunity. Working that plan together cleared roughly two-fifths of that stock in about three months, across a single off-season, the quietest months of the shop's year. No blowout, no fire sale, at a profitable 40% margin, recapturing dead capital that would otherwise have stayed trapped. The same analysis found the opposite problem on the shelves that do sell: proven sellers with eroded margins priced well below their strength. Repricing lifted margin on proven sellers without slowing how fast they sold, adding a second, recurring lever.

• $28,728of dead and slow-moving stock identified
• $11,668freed at full clearance margin, in one off-season
• +33%off-season gross profit, year over year
• +65%faster stock movement than the same months a year earlier

Cash and velocity are measured. The recurring margin gain from repricing is projected. We report numbers when they are measured, not before.

How it works

A few exports, then a plan.

You export a few reports from your point of sale. Our analysis system reads every line of your inventory and sales history from the past three years, where available, every item, every sale, every date, and lays out the first findings while we gather key context on the business. Justin pressure-tests every finding against the way your shop actually runs: your seasons, your suppliers, your locals and your visitors, your displays, how your team sells, the story a rep or an artist has built around a piece. Then he prices each move, sequences the work, and builds the recovery plan with you, shaped around your needs and your read of the floor, with a clear recommendation on the highest-value moves to make first. The diagnostic, from your data to a recovery plan, takes just days instead of months. The results come from months of working the plan together, inside the operation.

AI-enabled analysis gives us the grounded numbers. Your floor shows us the how and the why, and our experience turns both into the plan.

Our goal is simple: make this easy for you and deliver clear results. Your data lives in an account you control. We work in it only with your permission, from anonymized records, and never share it. Our system turns your raw exports into a clear picture in days, not the weeks it takes by hand. We enrich that picture with your operating context, surfacing the key trends, bottlenecks, friction points, and root causes. Then we build the plan that turns those findings into cash back in your pocket, this season.