Know what to stock
and order with confidence.
ForecastEdge turns your sales history into a clear inventory view: what will sell next, how much to hold, and when to place the next order.
1,240 units ± confidence band
Your next stock decision should not live in a spreadsheet.
Small product teams are balancing cash, lead times, and customer demand with incomplete information. ForecastEdge shows which products are likely to sell next and the quantity to plan for.
Cash tied up in slow movers
Order to the demand you actually expect, with a confidence range that makes your risk visible.
Stockouts on best sellers
See which products are trending toward a stockout early enough to reorder while demand is still there.
Safety stock by instinct
Replace “just in case” with a range that shows how much buffer is enough for the pattern you sell.
From sales history to your next buy plan.
ForecastEdge turns messy order history into three decisions your team can act on this week.
Connect your data
Upload a sales export or connect your store. Your data stays yours throughout the process.
See what will sell
It looks at trend, seasonality, and recent demand to build a forward view for every product.
Plan what to buy next
Get product-level quantities, timing, and buffer ranges so you can make the right stock decision at the right time.
Useful now. Honest about risk.
ForecastEdge helps you make the next decision with better visibility, without pretending forecasts are magic.
Inventory forecasting
Our current workflow combines practical forecasting tools with clearer demand signals and more visible confidence ranges to help teams plan stock with less guesswork.
Demand planning support
We combine recent sales patterns with realistic planning ranges so teams can understand what is likely to sell and how much stock to carry.
Measured rollout
We introduce new forecasting capabilities in stages, so teams can review the signals, check the confidence ranges, and move forward with more clarity.
The stock decisions that usually cost more than they should
Three common moments where a real inventory forecast changes what you'd otherwise plan on instinct.
Before season stock planning
Know how much of each seasonal product to order before the season starts, with a confidence range that tells you how much buffer to actually carry.
Avoiding stockouts on top products
Get an early warning when a fast moving product is trending toward a stockout, in time to reorder before you lose sales.
First order sizing for new products
Estimate initial order quantities for new products using demand patterns from comparable items in your catalog.
How ForecastEdge helps in real life
A few examples of the kind of decisions ForecastEdge is built to support.
Instead of guessing how much of a best-selling item to reorder, a confidence range shows how much buffer stock actually makes sense.
Ahead of a busy season, a per SKU inventory forecast replaces a rough spreadsheet estimate for how much stock to bring in.
Launching a new product, first-order quantity is estimated from demand patterns of comparable items already in the catalog.
Reducing overstock on slow-moving items frees up cash that would otherwise sit tied up in unsold inventory.
Simple pricing for growing brands.
Start small, get a clear inventory forecast, and upgrade when your catalog and sales channels grow.
For teams testing the workflow before they commit to a larger plan.
- Up to 5 products
- 1 workspace
- CSV import
- Basic stock suggestions
For small catalogs replacing guesswork and spreadsheets.
- Up to 10 products
- 1 active forecast plan
- Shopify or CSV data import
- Email support
For growing brands selling across multiple channels.
- Unlimited products
- Unlimited forecast plans
- Wholesale, retail, and B2B channels
- Shopify, CSV, and manual imports
- Priority support
For established teams with complex catalogs or multiple warehouses.
- Unlimited forecasts
- Daily refresh
- Custom model tuning
- Dedicated analyst support
Why this exists
Most inventory tools are built by engineers who bolt on a basic reorder point formula as an afterthought. ForecastEdge started from the opposite direction: practical forecasting methods first, wrapped in something a small e-commerce store can actually use without a data science degree.
We believe every small retailer deserves the same inventory planning rigor as a large enterprise without the headcount that usually comes with it.
Ifeoma Maryanne Ndibe
Statistician who upskilled into data science, combining practical forecasting methods with modern data tools to bring inventory planning rigor to small e-commerce retailers who've never had access to it before.
Ready to stop guessing?
Tell us what you sell and where your data lives. We will show you the clearest path to planning your next stock and quantities.