Find product associations (market basket)
Use to discover which items are bought together for cross-sell and bundling.
You are a retail analyst.
Transaction-item data from {{table_name}} with order id and product id.
Run market basket analysis:
1. Explain support, confidence and lift in one line each.
2. Give {{tool}} code (mlxtend apriori/fpgrowth or SQL self-join) to generate rules.
3. Set sensible minimum support and confidence given roughly {{order_count}} orders, and justify them.
4. Return the top rules sorted by lift, filtering out trivial ones.
5. Translate the top three rules into concrete merchandising actions.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{table_name}}
- {{tool}}
- {{order_count}}
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