Initial Order Quantity Calculator
How many units should you order for a product with no sales history? Enter what you know, sector, price, cost, lead time, MOQ and a rough demand estimate, and get a first-buy quantity with the stock-out and overstock economics made explicit.
Built for buyers who commit to finished goods long before demand is known: technical and industrial distributors, importers and brand distributors of consumer durables, and private-label ecommerce sellers. One order, a supplier minimum, and a lead time you cannot shorten.
The method you already use, with the risks attached
Most stocking decisions for a new item are made the same way, and it is a sensible way: pull up two or three comparable products, look at what they did, ask a couple of sales reps what they expect, add ten to fifteen percent for launch effect, round up to the supplier's carton size. That reasoning is sound, comparable products really are the best evidence available for an item with no history. What it leaves out is the spread. A single number carries no information about how wrong it could be, and the whole first-buy problem lives in that spread.
This calculator does the same comparison, keeps the spread, and attaches the economics. It simulates a thousand plausible demand paths for your sector, totals each one over the period the first order actually has to cover, lead time plus the time until your next order, not an arbitrary six months, and finds the quantity where the cost of being short and the cost of being long balance out. Being short costs the margin you did not earn plus, in distribution, a contractor who found the item somewhere else; being long costs carrying charges of roughly a quarter of the value per year and a liquidation price well below cost. Those two are rarely equal, and the cheaper mistake is the one worth making more often.
Where these numbers come from
- Sector patterns are built-in assumptions, a launch curve shape and, where the sector has one, a seasonal pattern. Each one names the research it rests on, or says plainly that it is our judgment, on where the curves come from. How wide the range is comes from your own answer about how new the product is, not from the sector. They are not pooled customer data, and nobody else's numbers are mixed into your result.
- The economics are your inputs, applied openly, every calculation on this page is shown with its formula. There is no model that "knows better" than the numbers you entered.
- Nothing is uploaded. The calculation runs in this browser tab. If you supply your own launch history, it is parsed here and stored on this device only; there is no server to send it to, and no account to create.
SKUZero simulates one from launches like yours. Your own past launches if you upload them, or typical sector patterns if you have none. Same engine, same economics, applied to a real first-buy decision.
Related
- MOQ Risk Calculator: when the supplier's minimum is larger than the quantity you actually want.
- Newsvendor Calculator: the underlying economics, with costs entered directly.
- How to determine an initial order quantity , the full method, written out.