Live on the App Store · Inventory
Reorder the right stock, at the right time.
Foreshelf reads your sales history and tells you exactly what to reorder, how much and when — with the reasoning shown in plain English. The easy Stocky replacement.
What it does
No spreadsheets. No black-box numbers.
Instead of just "order 90", Foreshelf shows the maths: sells 5/day, 12 days left, 14-day lead time → reorder 90 now.
Sales-based forecasts
Every product's sales per day, days of stock left, and a suggested reorder quantity — from your real history.
Status at a glance
Reorder now, Reorder soon, Stockout, Overstock, No sales or Healthy — see what needs attention instantly.
Reorder report
Grouped by supplier, with quantities you can edit and export to CSV — your purchase order, ready to send.
Email alerts
A daily digest lands in your inbox when products hit their reorder point, so nothing slips through.
Your rules
Set lead time and a safety buffer per shop, per supplier or per product — the maths adapts to you.
Read-only & safe
Read access only — Foreshelf never writes to your store and stores no customer personal data.
Pricing
Start free. Grow into unlimited.
- ✓Forecasts for up to 50 SKUs
- ✓Explainable recommendations
- ✓Dashboard
- ✓Unlimited SKUs
- ✓Email reorder alerts
- ✓Reorder report + CSV export
- ✓Everything in Starter
- ✓Seasonality (coming)
- ✓Advanced multi-location
- ✓Priority support
Guides
Learn how forecasting works.
Questions
The short answers.
Will it change anything in my store? +
No. Foreshelf is read-only — it only reads your products, orders and inventory, and never writes to or changes anything.
I'm coming from Stocky. +
Import your Stocky CSV to bring suppliers and lead times across. Foreshelf is the easy replacement — with the explanations Stocky never gave you.
How are recommendations calculated? +
From your sales velocity, current stock, lead time and safety buffer — and every recommendation shows the maths, so you can always question it.
Is my customer data safe? +
Yes. Foreshelf stores no customer personal data — only aggregated daily sales counts used to compute sales velocity.