Recommend the right size to customers

Shops recommend the right size to reduce wrong purchases and returns

Needs setupAI Act: no extra obligationsRecommending & personalisingFashion & lifestyle

Fits: Sales · IT & software development · Customer service

Customers order two sizes to choose from less often and send items back less often, because before buying they learn how an item fits and which size suits them. You save effort on returns, and items with an unusual fit sell better.

Is this for you?

  • You have a size chart for every item and record reasons for returns such as “too small” or “too large” per item and size.
  • Returns because of the wrong size are noticeable for you, especially for trousers, shoes, dresses or new brands.
  • You can carry out a project over a few months involving shop technology, product data and data protection.
First step today

Take an item with many size-related returns, its size chart and the reasons for returns over the last few months, without customer data. Use the template below to have a size recommended for two invented test customers, and compare with what your customer advisers would suggest.

How to go about it

  1. Decide what the size recommendation is for
  2. Bring together size charts, reasons for returns and customer details
  3. Set up a size adviser in the shop
  4. Test with some of your customers
  5. Activate it for all items with good data
  6. Check accuracy across all sizes

Templates to copy

Try it now
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Plan the rollout
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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.

See the trainingOne-off per person, no subscription

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MO-03 · Legal status 08.10.2026