Dictionary of Sensefuel available algorithms for users configurations on our platform
Significant similarity:
AI algorithm that matches the most similar products based on the data that characterizes them (attributes).
Individualized cross-selling:
AI algorithm that learns, for each individual, the best products to suggest with a product detail page visited to generate cross-selling.
Ideal Next Purchase
An AI algorithm that learns, for each individual, the best products to suggest by complementing their current and recent purchases.
This algorithm requires a recent purchase or add-to-cart event captured or propagated to Sensefuel.
If a user is new or has no recent event, a fallback recommendation will be provided based on the current best-performing products.
Selection:
Algorithm that presents, for each individual, the best products to suggest from a selection created on our platform by your business team.
Relevant exploring:
AI algorithm that learns, for each individual, the best alternative products to suggest with a product detail page visited.
Personal interest:
An AI algorithm that learns, for each individual, the best products to suggest (those they are most likely to like) based on their recent visits.
This algorithm requires recent product clicks and/or PDP (Product Detail Page) or PLP (Product Listing Page) visit events captured or propagated to Sensefuel.
If a user is new or has no such recent events, a fallback recommendation will be provided based on the current best-performing products.
Linked products:
Algorithm that presents, for each individual, the best products to suggest from the associations inherited from your product catalog.
Note: whether you integrated Sensefuel Recommend with our JavaScript tag our with our API, products that have already been added to the cart of the user are automatically excluded.