Objective is to Recommend ways to increase revenue of a Grocery Store

Market-Basket-Analysis (MBA) is used to conduct a thorough analysis of Point of Sale (POS) Data.

Reommendations based on the insights through MBA. Through these insights a grocery store can increase its revenue by coming up with attractive combo & discount offers for customers. Especially, to understand customer's buying pattern and recommend customised offers.

We use Frequent Itemset Mining based on Apriori Algorithm to uncover association between items. Association rules are created in KNIME using Association Rule Learner to group items according to their likeliness of being bought together

KNIME, Market Basket Analysis, Frequent Itemset Mining, Python, Excel