Forecasting demand is straightforward once you have sales history: you lean on the past. But a brand-new product has no past, and that's exactly when an over- or under-estimate costs the most: make too many and you're stuck with stock, too few and you miss the launch buzz. You can't know, but you can make a smart, low-risk first guess.
Borrow from what you do know
- Similar products: how did comparable items in your shop sell at launch?
- Your audience: how big and engaged is your list and following?
- The channel: a market, a drop to your email list, and a marketplace all behave differently.
Start small and learn
The safest way to forecast the unknown is to not bet big on it. Make a modest first batch, see how it sells, and scale up what works. A small run that sells out and restocks beats a big run that sits, and "sold out, restocking" is good marketing anyway.
De-risk it before you commit
- Make a small first batch sized to a conservative estimate.
- Or test demand with a pre-order so customers tell you how many to make.
- Watch the first sales closely, then scale to the real signal.
- Keep some materials in reserve so you can restock a hit quickly.
You can't forecast a product with no history, but you can launch small, listen, and let real sales write the forecast for you.
Turn the first sales into a real forecast
The moment a new product starts selling, it has history, and that's when forecasting gets real. From the Maker plan, record its sales and ask Suli how it's doing; from the Team plan, Suli also tells you what needs to go into production. A new product's first weeks of data start guiding how much to make next.