Owners & managers
AI we build for retail
AI that forecasts demand and matches staff to foot traffic.
Retail runs on the right stock, staffing and promotion at the right moment. We build the forecasting and scheduling AI that lifts margin and put it connected to your POS and inventory.
AI we build here
Where teams like yours are stuck
- Dead stock tying up cash while bestsellers sell out
- Staffing that never matches real foot traffic
- Promotions run on gut feel, not data
Use cases we ship
Demand forecasting
Forecasts what each product will sell from your own sales history, and you order from that forecast
AI scheduling
Drafts the staff schedule from predicted foot traffic
We scope the build with you, ship it to production and hand it over working. That goes for a new project or one that stalled.
How it plays out
For an independent retailer, cash is tied up in the wrong things. Dead stock sits on the shelf while your bestsellers sell out. Staff are scheduled for a quiet Tuesday and short on a busy Saturday. Promotions run on gut feel. Each of these is a margin leak, and they're hard to see until you look at the numbers together.
We build a demand-forecasting model that reads your own sales history by product, season, and location, so you order the right stock in the right quantity and stop guessing. Fewer stockouts on the lines that sell, less markdown on the lines that don't. It plugs into the POS and inventory tools you already use, so it's a working part of your week, not a spreadsheet someone has to maintain.
On top of that, we match staffing to predicted foot traffic, so you're covered when it's busy and lean when it's quiet, and we help target promotions at the customers and moments most likely to convert. What you get is decisions made for you and tied to margin, instead of a dashboard to admire.
Before
Orders are placed from last month's sales and instinct. Slow stock ties up cash while bestsellers run out, and the schedule is written before anyone knows how busy the day will be.
After
Orders follow a forecast built on your own sales history, by product, season and location. The forecast feeds the POS and inventory tools you already use, and the schedule follows predicted foot traffic.
An illustration of a common pattern, not a client result.
Questions owners ask
We're not a big chain. Do we have enough data for this?
You need sales history, whatever your size. We look for a POS with a year or so of it. We start with what you have and sharpen the forecast as more data comes in.
Will it work with our current register and inventory system?
We build to fit the systems you already run rather than forcing a rip-and-replace. If it can export your sales and stock data, we can work with it.
Let's get your AI shipping
Book a call and we'll scope the first use case worth building. Or take the free AI-readiness audit to see where to start.