Get recommendations based on users' browsing history and/or item description

Personalized Recommendation uses state-of-the-art machine learning techniques to give visitors to your website highly personalized recommendations based on their browsing history and/or item description. Personalized Recommendation service is part of the SAP AI Business Services portfolio.

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Overview

Elevate user experience and engagement

The service offers enhanced user retention and loyalty by delivering hyper-personalized and efficient recommendations.

Retain business control, curate relevancy and meet KPIs

Improved conversion rates and higher cart revenue, as well as increased sales and profitability.

Enhance item discovery and conversion

Greater customization of business strategy for making recommendations, with affinity boosting capability.

Details

Solution type

APIs and Technical Components

Compatibility

Works with

Ce produit est compatible avec ou améliore les fonctionnalités de ces solutions SAP mais peut fonctionner sans elles.
  • SAP Integration Suite
  • SAP Commerce Cloud
  • SAP SuccessFactors Learning

Features

Get next-item recommendations

Get personalized or next-item recommendations that are more likely to be selected based on the user's current context or item interactions. Every user with a unique item interaction history receives a unique set of recommendations.

Get similar-item recommendations

Get alternative or similar-item recommendations that match the item currently being viewed.

Get smart-search results

Get personalized search results based on the user’s input and context. Receive traditional text queries as well as contextual information such as item interaction history and non-text queries such as categorical features.

Get user-affinity recommendations

Get affinity recommendations or item-attribute preferences based on the user’s past interactions. These recommendations enable you to tailor the user experience to their intrinsic affinities and preferences.