Sales Velocity: How to Calculate and Use It on FBA
Sales velocity is units sold per day, the engine of every restock decision. How to calculate it, why the window matters, and how to use it on Amazon FBA.
Co-founder & CTO, Inventory Hero
Frequently Asked Questions
- How do you calculate sales velocity?
- Divide units sold by the number of days in the period. If you sold 360 units in 30 days, your sales velocity is 12 units per day. Calculate it per SKU, not as a blended account average, because the account number hides your slow and fast movers.
- What is a good sales velocity window for Amazon FBA?
- There is no single right window. A trailing 7 to 14 day window reacts quickly to changes and suits trending or seasonal SKUs; a 30 to 90 day window is steadier and suits stable products. Many sellers watch both and weight the recent window when the two diverge.
- How does sales velocity affect restock?
- Velocity is the multiplier in every restock formula. Reorder point is velocity times lead time plus safety stock, and reorder quantity is velocity times the days you need to cover. If your velocity number is wrong or stale, every downstream restock number is wrong too.
Written by
T. Brian Jones
Co-founder & CTO, Inventory Hero
T. Brian Jones is co-founder and CTO of Inventory Hero. He leads the engineering behind its Amazon data pipeline, demand forecasting, and the AI platform that lets sellers talk to their live inventory, sales, and supplier data in plain language.
Related reading
7 min read
Demand Planning for Amazon Sellers: A Practical Loop
Demand planning for Amazon sellers turns a forecast into purchase orders, reconciled with cash, capacity, and your marketing and sourcing plans.
Read article11 min read
Amazon Inventory Forecasting: The Complete FBA Guide
A complete guide to Amazon inventory forecasting: the methods, how to handle seasonality and new products, and how to forecast around FBA lead times.
Read article5 min read
AI vs Traditional Inventory Management: Honest Guide
AI vs traditional inventory management: where machine learning wins, where spreadsheets and statistics still hold up, and how to choose.