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.
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
- 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.
Plans and pricing
Personalized Recommendation
How to purchase:
If you wish to license Personalized Recommendation service you can do it via Pay-As-You-Go for SAP BTP or SAP BTP Enterprise Agreement at
To find out more about service plans, metrics and SAP BTPEA or Pay-As-You-Go pricing options, please go to
- In blocks of 1000 Record
- Contract duration available upon request
- Deployed in Public Cloud – non S/4HANA
How to purchase:
If you wish to license Personalized Recommendation service you can do it via Pay-As-You-Go for SAP BTP or SAP BTP Enterprise Agreement at
To find out more about service plans, metrics and SAP BTPEA or Pay-As-You-Go pricing options, please go to
