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A ranked list with reasons

Which orders will come back

Which order lines are likely to be returned?

A ranked list with reasonsIllustration with sample data

Chance · will be returned · sales at risk of return

  1. #104286%$420
  2. #107974%$1180
  3. #111663%$260
  4. #115352%$940
  5. #119041%$310

The problem

Returns eat shipping, handling and margin, and most of them could be seen coming at checkout.

What you get

Add a size guide or a quick call before shipping the riskiest ones.

Each case comes with what it is worth, so the list is sorted by money, not just odds.

What you need

Order lines with category, price, discount, delivery time and the customer's past returns.

How it works

  1. 01

    Connect your tool, upload a file, or use sample data.

  2. 02

    We learn from your past cases, check the result is honest, and explain it in plain words.

  3. 03

    You get the list to act on, with reasons and the money at stake.

Try it on sample data

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