Personalized Recommendation
Get accurate recommendations based on users’ browsing history and/or item description with this machine learning-based service available on SAP Business Technology Platform.
SAP Business AI is making remarkable progress in our effort to redefine the way businesses run. More than 27,000 customers already rely on SAP Business AI to achieve unseen business outcomes and achieve real-world business results.
At Sapphire, SAP is announcing extensive new integrations of our natural language generative AI copilot Joule and unveiling a swathe of new Business AI capabilities throughout our comprehensive portfolio of business applications.
Read the announcements from Philipp Herzig, Chief AI Officer
SAP is pushing the boundaries of AI with the new SAP Foundation Model for structured data, investing in this cutting-edge AI technology to unlock the value of generative AI technology advancements for structured business data. The goal is to deliver a foundation model that is business-centric by design, providing actionable, job-specific insights directly within SAP applications customers use daily.
At SAP, we view AI not as a standalone technology, but as an integrated part of our business applications that infuses intelligence natively into business processes.
Dive deeper into various aspects of SAP’s approach to generative AI and its technical underpinnings with this blog post, the first of a series with Dr. Philipp Herzig, Chief AI Officer.
First Steps
Personalized Recommendation is part of the SAP AI Services portfolio and available on SAP Business Technology Platform (SAP BTP).
It 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. With Personalized Recommendation, companies can:
- Elevate user experience and engagement
- Enhance item discovery and conversion
- Retain business control, curate relevancy and meet KPIs (key performance indicators).
Key Features
Get personalized, or next-item recommendations that are more likely to be selected next, 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 recommendationsGet alternative, or similar-item recommendations that match the item that is currently being viewed.
Get smart-search resultsGet personalized search results based on the user’s input and context. Receive traditional text queries, but also contextual information such as item interaction history, as well as nontext queries such as categorical features.
Get user-affinity recommendationsGet affinity recommendations or item-attribute preferences based on the user’s past interactions. These recommendations enable you to tailor users’ experience to their intrinsic affinities and preferences.
For more details on the service core features, see also Inference Options.
Use Case: Increase E-Store Revenue with Product Recommendations in SAP Commerce Cloud
Recommendations powered by Intelligent Selling Services for SAP Commerce Cloud allow you to show the most relevant products to visitors at the right point in their shopping journey to help increase the conversion performance of your storefront website and drive product discovery and engagement.
Use Case: Upskill, Retain, and Create a Future-Ready Workforce with Talent Intelligence Hub in SAP SuccessFactors
Powered by the Personalized Recommendation service, Talent Intelligence Hub is a centralized framework that connects individual attributes, strengths and styles, and expressive preferences to both people and the experiences throughout SAP SuccessFactors solutions. This framework enables organizations to understand and manage their workforce holistically while supporting excellence and growth aspirations of their people.
Everything you need to know about the Talent Intelligence Hub
Use Case: SAP SuccessFactors Opportunity Marketplace
Employees are now able to search and filter opportunities based on their growth portfolio attributes, allowing them to quickly find relevant growth opportunities that align to their skills, competencies, and aspirations.
In addition, job postings from SAP SuccessFactors Recruiting can now be surfaced as recommendations within the SAP SuccessFactors Opportunity Marketplace to support an increased focus on internal mobility.