Market Basket Analysis

Project Overview

This project focused on analyzing customer purchase patterns to identify product associations and develop cross-selling strategies for a grocery retail chain.

Challenge

The client wanted to optimize their product placement and promotional strategies but lacked insights into which products were frequently purchased together.

Solution

I implemented association rule mining using the Apriori algorithm to analyze millions of transaction records and identify significant product associations and purchase patterns.

Results

The analysis revealed over 200 strong product associations that were previously unknown. Implementation of targeted cross-selling strategies based on these insights led to a 7% increase in average transaction value.