Sell on Amazon with data, not hunches

Before you buy inventory, you can find out whether a product has demand, what it will cost you to sell it, and what sales to expect. Here you learn how, step by step.

Actual sales and sales forecastWeekly sales rise with ups and downs until today; the forecast continues the trend within an uncertainty band.todayWeekly sales
Actual salesForecastMargin of errorIllustrative example

Who it’s for

  • You want to start on Amazon FBA and don’t know how to choose your first product
  • You already sell and want to plan reorders and launches with numbers
  • You’d rather understand the why than follow a recipe

Who it’s not for

  • You want fast income without investing time or money
  • You expect a ready-made list of winning products to copy

The method, in three decisions

  1. Validate demand

    Read a niche’s sales rank, reviews and seasonality to estimate how much really sells.

  2. Work out the real margin

    Add up fees, fulfillment, advertising and returns before you set a price.

  3. Forecast sales

    Use the history of similar products to decide how many units to order, and when.

Forecast Your Amazon FBA Sales

Decide how much to order from your supplier, and when, using your own Seller Central data.

A practical ebook, a Google Colab notebook that compares six forecasting methods and an Excel template to plan your FBA inventory instead of buying by gut feel. Built for sellers who already sell and want to stop guessing their orders.

Cover of the ebook Forecast Your Amazon FBA SalesSee the kit

What’s included

  • 138-page PDF ebook, from the orders report to the purchase calendar
  • Google Colab notebook: six methods compete on your data and the winner feeds your purchase plan
  • Step-by-step user guide, no coding or installation needed
  • Excel template with forecast, inventory policy and calendar
  • Practice data: a real anonymized FBA store and a simulated demo store
  • Study notebooks and an R version (in Spanish)

Coming soon

Sign up for the free starter kit and I’ll let you know on launch day, with a founder’s price.

Notify me at launch

Who’s writing

Walter Caraza, data engineer and former Amazon FBA seller.

I sold on Amazon through FBA and then wrote a 150-page thesis on predicting a product’s sales with neural networks. Here I share what I learned on both sides: the seller’s and the data’s.

Free starter kit: an Excel template to start forecasting your sales

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