Product Recommendation using HANA DB and Predictive Analysis Library (PAL)
Up sell and cross sell are important for a business to increase revenue. Given what a customer has bought in the past, a recommendation system can be brought to bear for achieving the goal. In particular, a recommendation system that uses the association analysis technique can be used to analyze what the customer want in terms of what they have already purchased (up-sell) or something they might want to get (cross sell).
A prototype has been created for such a purpose.
- Help business increase sales by associating
- Group related products
- Facilitate gap analysis
- Association (Link) analysis
As an example, the information of purchased products by a customer can be used to analyze potential future purchases . Given such product purchase history, a product recommendation system can be used to generate recommendations ranked by the relevance to purchase history . In an iterative analysis process, a user can adjust certain analytical parameter to fit the need of a particular situation . Finally, recommendation can be visualized to gain insight in a quick glance .