Recommend suitable tariffs based on consumption

Telecoms and energy providers recommend suitable tariffs based on usage patterns

Needs setupAI Act: no extra obligationsRecommending & personalisingTelecommunications, Energy supply

Fits: Sales · Customer service

Customers are offered a tariff that matches their actual consumption, with a calculation they can follow. That reduces complaints about overpriced contracts and cancellations out of frustration.

Is this for you?

  • You have several tariffs and consumption data covering at least one year, such as electricity or gas consumption, data volume or call minutes.
  • You are prepared to recommend a cheaper tariff too if it is a better fit.
  • Your customer portal, app or customer service can deliver recommendations, and you clarify the use of data with data protection beforehand.
First step today

Take your current tariff list and an invented annual consumption and use the template below to calculate all tariffs. Recalculate one tariff yourself: is the total correct, and does the calculation recognise when switching brings no benefit?

How to go about it

  1. Define when a recommendation is good
  2. Bring together consumption and tariff data
  3. Set up tariff recommendations in the customer portal
  4. Compare with a test group
  5. Roll out to all customers
  6. Check the impact and honesty of the recommendations

Templates to copy

Try it now
in the training
Analyse
in the training
Plan the rollout
in the training
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

Same approach, other use cases

13 more use cases follow the pattern “Recommending & personalising”.

TK-04 · Legal status 08.10.2026