Owners & managers
AI we build for retail
AI that forecasts demand and matches staff to footfall.
Retail runs on the right stock, staffing and promotion at the right moment. We build the forecasting and scheduling AI that lifts margin, wired into your POS and inventory — live, not theoretical.
AI we build here
Where teams like yours are stuck
- Dead stock tying up cash while bestsellers sell out
- Staffing that never matches real footfall
- Promotions run on gut feel, not data
Use cases we ship
Demand forecasting
We ship the model that means the right stock, less markdown
AI scheduling
Staff matched to predicted footfall
We scope the right build with you, embed alongside your team, and ship it to production — starting from scratch or restarting a stalled project.
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 rostered 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 on 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 footfall, 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. The point isn't a dashboard to admire — it's decisions made for you, tied to margin.
Before
Ordering was based on last month and instinct: cash tied up in slow stock, regular stockouts on bestsellers, and staffing that rarely matched the day.
After
Orders follow a forecast built on your own data, bestsellers stay in stock, markdown drops, and staff are matched to predicted footfall — margin recovered from both ends.
Questions owners ask
We're not a big chain — do we have enough data for this?
Almost certainly. If you have a POS with a year or so of sales history, that's usually enough to forecast meaningfully. We start with what you have and sharpen it as more data comes in.
Will it work with our current till 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.