Most tools for Amazon product research assume you already have a product in mind.

But when working with distributor catalogs, the challenge is different.

Where the time actually goes

When working with catalogs, the real bottleneck isn’t analyzing products — it’s getting the data into a usable format in the first place.

Sellers typically have to:

• Go through pages of unstructured product listings

• Search each item manually on Amazon

• Copy and compare pricing data

• Calculate fees and margins separately

Even with tools, this part of the workflow is still manual.

A different starting point

Cheetah Scanner approaches sourcing from the beginning of the process.

Instead of helping you analyze one product at a time, it helps you process entire catalogs at once.

Upload a catalog and the platform will:

• Extract product information automatically

• Match items to Amazon listings

• Calculate profit and ROI in bulk

This turns catalog sourcing into a faster, more scalable workflow.

More flexibility, less commitment

Another difference is how you pay for it.

Many tools rely on monthly subscriptions, even if you only use them occasionally.

Cheetah Scanner uses a pay-per-use model, so you only pay for the product matches you actually run.

From manual work to decision-making

The goal isn’t just to provide more data — it’s to reduce the time it takes to act on it.

By automating the catalog stage, Cheetah Scanner lets sellers focus less on searching and more on choosing the right products.