StockPilot is an AI/ML platform for e-commerce and food-chain businesses. It learns how you actually sell, forecasts demand per SKU and location, and turns that into reorder decisions you can defend.
Product preview
Concept illustration — StockPilot is pre-launch and the interface is still evolving.
Change the conditions. Watch the plan react.
A simplified version of StockPilot’s forecasting logic. Drag the sliders to see how demand, volatility and supplier lead time move the reorder point and your stock-out risk.
Forecast lab
Move the three controls to see how StockPilot would re-forecast demand, optimise the reorder point and recognise a stock-out weeks before it lands. Everything recalculates in your browser.
- 12-week history
- 6-week forecast
- Confidence range
Where demand is heading over the next six weeks.
How spiky the week-to-week pattern is.
Days from raising a purchase order to stock landing.
Projected weekly demand: 445 units.
Recommended reorder quantity: 990 units.
Days of cover: 8.3.
Stock-out risk: Moderate. Projected stock-out in week 18 of eighteen. Reorder point 576 units.
Illustrative model only. StockPilot is pre-launch, so this sandbox runs a simplified forecast over a fixed sample series — the figures above are indicative, not live product output.
What StockPilot does
Six capabilities that make up the product. The first three are the MVP; the rest follow closely behind.
AI demand forecasting
Models trained on your own sales history project demand per SKU, per location, across the horizons that matter for your lead times.
Real-time stock tracking
One live ledger of stock on hand, incoming and committed — so the number you see is the number you have.
Low-stock & expiry alerts
Dynamic reorder points trigger before you run out, and shelf-life tracking flags batches heading for waste while you can still act.
Replenishment recommendations
Concrete suggestions — what to order, how much, from which supplier, by when — with the forecast and lead time behind each one.
Multi-location support
Warehouses, outlets and channels in one account, with transfers between them and forecasting that respects local demand.
Analytics dashboard
Sell-through, stock turns, forecast accuracy and waste in one place, so you can see whether the recommendations are working.
From raw sales data to a reorder decision
Four steps, repeated every cycle. Each one is designed so you can see the reasoning, not just the output.
- Step 1
Connect your data
Import a product catalogue and sales history from a spreadsheet, your store, or your POS. No re-keying, no clean-room requirements.
- Step 2
AI learns your patterns
Models pick up seasonality, weekday rhythms, promotions and shelf-life so forecasts reflect how your business actually sells.
- Step 3
Forecasts & alerts
See projected demand per SKU and per location, with low-stock, over-stock and expiry alerts before they cost you money.
- Step 4
Optimise stock
Act on replenishment recommendations — what to reorder, how much, and when — then measure the result next cycle.
Three numbers we want to move
We’re pre-launch, so we won’t quote results we haven’t earned. These are the outcomes StockPilot is designed to produce — and what we’ll measure with design partners.
Fewer stockouts
Reorder points that move with demand instead of sitting at a number someone set last year.
Less cash on shelves
Order to forecast rather than to habit, and stop parking working capital in slow lines.
Less expiry waste
Shelf-life-aware planning for perishables, with alerts early enough to discount or redistribute.
Connects to the tools you already sell through
None of these are live yet. CSV import and export ship with the MVP so you’re never blocked waiting on a connector.
Shopify
Catalogue, orders and inventory sync
PlannedWooCommerce
Store sync for self-hosted shops
PlannedPOS systems
Outlet-level sales for food chains
PlannedCSV import/export
Available from day one
Planned
How StockPilot gets built
Three phases. We’ll publish progress against them as we go — and waitlist members get to argue about the order.
- In progress
Phase 1 · Now
MVP — core inventory + forecasting
- Product catalogue and multi-location stock ledger
- Baseline demand forecasting per SKU
- Stock health dashboard with reorder points
- Design partner interviews shaping the data model
- Up next
Phase 2 · After MVP
Integrations & alerts
- Shopify and WooCommerce catalogue sync
- POS imports for food-chain outlets
- Low-stock, over-stock and expiry alerting
- Replenishment recommendations with supplier lead times
- Planned
Phase 3 · Later
Advanced AI optimisation
- Promotion and seasonality-aware forecasting
- Automatic safety-stock and reorder-point tuning
- Waste and markdown optimisation for perishables
- Scenario planning across locations
Get StockPilot before anyone else
Join the waitlist for private beta access, founding-member pricing and direct input into the forecasting features we build first.