Would clustering be the best way to group stores where group of different products perform well or poorly based on financial data

I am a DS in a fresh produce retailer and I want to identify different store groups where different product groups perform well or poorly based on financial performance metrics ( Sales, profit, product waste )
For example, this apple brand performs well ( healthy sales & low wastage) in this group of stores while performs poorly in Y group of stores ( low sales, low profit, high waste)

I am not interested in stores that oversell in one group …

clustering data datascience example financial identify metrics performance product products profit sales store stores waste