Analyse return reasons and reduce returns

Retailers analyse return reasons to reduce the return rate

Needs setupAI Act: no extra obligationsAnalysing & reporting dataRetail & consumer goods

Fits: Sales · Marketing & communications · Purchasing · Customer service · Logistics & warehousing · Leaders & strategy

You see which items have high returns and for what reason: wrong size, colour different from the photo, defects. This lets you improve size charts, photos, descriptions or suppliers in a targeted way.

Is this for you?

  • You have a lot of returns and record return reasons as a selection field, free text or both.
  • Quantities sold and returns can be exported per item from the shop or merchandise management system.
First step today

Export one month’s returns for ten items with item number, reason and comment, without customer data, plus the quantities sold. Use the template below to have them analysed by rate and reason, and read ten comments yourself.

How to go about it

  1. Decide which returns you want to reduce
  2. Combine returns and sales per item
  3. Have reasons assigned and rates calculated
  4. Recalculate rates and read a sample of comments
  5. Derive and prepare measures per item
  6. Repeat monthly with the same reasons

Templates to copy

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Included in the training

The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

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G-HK-04 · Legal status 08.10.2026