You can download here a table calculating combinations of items appearing frequently on the same orders.
It can be very useful to know, that customer, buying product A, is likely to buy product B – so you can successfully propose it to him.

Model uses Power Query and Power Pivot.
You can use it without deep understanding – just replace the sample data with yours and refresh.
This model is quite demanding on computer performance. If you had some idea how to make it more effective, please let me know.
Files to download:


  1. Hi,

    Thanks for sharing the .xls file.
    Is there a way to also find the combinations of 3, 4, 5, … articles in the same basket?


  2. In this case I´d recommend already prepared R-packages and run it in R.

  3. hi,
    i want to know how can i make the raw data to combination
    and i see some Number of mateches / Total sales of first item over %
    seems not logical :

    appreciate you sharing

  4. i figured it out,
    i think the 【all】 data ,should remove duplicate first,or the formula = Number of mateches / Total sales of first item over will over 100%.
    second, because i use this on shopping basket , the two columns are consumer and product.
    I want to know the feature of consumer , so i use this way.
    🙂 thanks excel town

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