Use our machine learning algorithms optimized for commerce to deliver personalized product recommendations in real-time.
Each new interaction within a browsing session is another signal to our algorithms and helps to pinpoint the products of interest with increasing accuracy.
Product rankings are thus optimized for the user with our machine learning algorithms adapting to your business over time as well.
Set different strategies for different page types, e.g. homepage, product page, and checkout pages.
Popular strategies include abandoned basket recovery, most popular within category, suggest upsells, and so many more!
Leverage comprehensive data about the user's session, micro-factors like time of day or channel, and other successful purchase journeys to generate hyper-relevant recommendations for cross-sells or alternative items of interest.
Ensure only relevant, in-stock products are up for display by connecting Web Product Recommendations to your product catalog feed in real-time.
With Episerver Product Recommentations we’ve found a technology that can engage every individual with unique recommendations and deliver real commercial value. It is flexible and scalable to grow with our brands as we build our ecommerce business across mobile, multichannel, and international markets.
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Simon Pritchard
E-commerce Director Arcadia Group
800+
Partnere
5000+
Sertifiserte utviklere
20 000+
Nettsteder bruker Episerver
Planlegg en live demo med en av våre spesialister på et tidspunkt som passer deg. Fortell kort om dine behov så så setter vi opp en demonstrasjon som er tilpasset deg.
Finn ut hvorfor Episerver er det riktige valget for din virksomhet.
Intelligence Cloud
