Upload your floor plan, map shelves to categories, import sales data, and get a data-driven Space Allocation proposal — guided step by step in one workspace.
Floor plan image + sales CSV/Excel.
Ecommerce teams know their top products, best pages, and worst-converting flows in real time. Your physical stores are a black box — until the monthly P&L arrives.
3 people in your company know which store layouts work. When they leave, that knowledge disappears. No documentation. No data. No way to replicate it.
A Coffee & Tea zone earning €28/m² instead of €74/m² looks fine in the weekly report. That's €38k/month in missed revenue — per store — compounding while you look elsewhere.
Every floor change is a physical experiment. Roll it out in 20 stores. Wait 6 weeks. Analyse the data manually. By then, the context is gone and you've already moved on.
Seven onboarding steps in one app — upload your layout, map shelves, import sales, run baseline analytics, and generate a Space Allocation proposal.
Upload a floor plan and calibrate scale, add shelf photos, import sales from CSV or Excel, define shelf boxes (manually or via detection), then place shelves on the layout — all before analytics run.
Step 6 summarizes margin, turnover, and exposure area by category. Step 7 runs Space Allocation — Fair Share by margin share or power models with diminishing returns — and assigns targets to real shelf bays.
Run Space Allocation per store, then roll up to a chain-wide view. See which locations have the highest projected margin uplift and how category exposure shifts across your network.
In-app method guide explains how baseline metrics and Space Allocation models work — Fair Share, power curves, and shelf assignment logic — so merchandising and finance teams can trust the numbers.
Export a complete project as a ZIP — floor plan, shelf definitions, sales mapping, and optimization state. Import it elsewhere to pick up where you left off or replicate setup across locations.
CSV upload of the files you already have. No API keys, no integrations, no security review.
Export POS data as CSV. Drop in your floor plan — PDF, photo, or image. That's it. No schemas, no mapping, no IT ticket.
Our pipeline digitises your floor plan, maps transaction data to zones, and calculates revenue density. First heatmap is live in under 2 hours.
ML alerts surface within 24 hours of each upload. Your team gets answers in a dashboard, not a data warehouse. Share board-ready PDFs in seconds.
Upload your first store's POS data and floor plan today. First heatmap in 2 hours. No IT department, no security review, no hardware.
No IT involvement. Works with your existing POS export.
Email Alex to request early access
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