I would like to compare 5 companies regarding the average price of 3 product categories. The average price has already been calculated as a weighted average.

The objective of this analysis is to compare the companies on the three product categories despite the price difference and to be able to quantify how much each company is above or below the others.

Ideally, I should be able to place all new values within a single chart.The main problem is that the average price differs significantly among the 3 categories.

On the Internet I've found three scaling methods:

1. Min-max normalization

2. Z-score Normalization

3. Mean normalization (deviation from the mean, divided by MAX-MIN)

Unfortunately, none of them convince me completely:

Min-max normalization sets the minimum value equal to 0 as a new value

Z-score Normalization I'm afraid is not intuitive enough for my interlocutors

Mean normalization is a little better, I just don't understand the added value of dividing by MAX-MIN instead of directly the mean itself. I'm just not sure if dividing by the mean has other drawbacks that I can't see.

Can you please give your opinion on the techniques considered and suggest whether there are any further approaches for this case?

Thank you very much

Best regards

David