Mini-project
Retail, E-commerce & Consumer Goods
Market basket analysis for a grocery store
Find which products are bought together and suggest bundles and shelf placements.
The brief
A grocery chain wants to place products and plan offers based on what customers really buy together. Mine shopping baskets for product associations and turn them into bundle and placement ideas. Good looks like: strong, non-obvious associations, a few bundle ideas with expected impact, and a summary a store manager can act on.
What you will build
- Prepare the orders as baskets
- Mine frequent itemsets and association rules
- Filter rules by lift and confidence
- Compare patterns by time of day and department
- Turn the best rules into bundle and placement ideas
Free, open data to build it with
- Instacart Market Basket Analysis ↗ Kaggle
- BigBasket product list ↗ Kaggle
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.