i6RecSys

Coming soon: the current web SDK does not yet expose a service for this engine.

Decision family: Recommendation, Personalization, Propension & Assortment

Models individual and collective behavior from browsing, purchase and interaction events to rank what to offer, to whom and at what moment. Covers everything from in-product recommendation to assortment design per store and prioritization of contact lists.

Output types

• Ranked list of items per customer or session.
• Propensity score for purchase, repurchase and churn.
• Prioritized audience per campaign and channel.
• Suggested assortment per store, region or cluster.
• Cross-sell and up-sell combinations.
• Drivers of each recommendation (affinity, context, history).

Engines involved

i6RecSys and i6Previsio.