This workflow takes pre-built association rules and applies them to a new set of data
1. Read Association Rules and Product data
2. Read content of current basket
3. Calculate total price of basket content
4. In rule Antecedents find closest match to current basket content
5. Find top matching rules in terms of:
- highest support,
- highest confidence,
- highest revenue
6. Export recommendation and basket price to report
How to open the report
In order to see the report execute the entire workflow and then click "Open the report" button in the toolbar.
URL: Market Basket Analysis and Recommandation Engines https://www.knime.org/knime-applications/market-basket-analysis-and-recommendation-engines
URL: Market Basket Analysis and Recommandation Engines https://www.knime.org/blog/market-basket-analysis-and-recommendation-engines
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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