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 is introducing a series of generative AI capabilities and advancements aimed at empowering developers of all skill levels to supercharge their businesses in the age of AI. It includes SAP Build Code, a new vector capability in SAP HANA Cloud, a one-stop-shop for SAP BTP developers called AI Foundation, and much more!
Powered by the Personalized Recommendation service, the talent intelligence hub can drive individualized recommendations for employees both in the new integrated learning experience as well as in SAP SuccessFactors Opportunity Marketplace.
Powered by Personalized Recommendation, Intelligent Selling Services for SAP Commerce Cloud supports real-time customer experience personalization on SAP Commerce Cloud based e-commerce shops.
This blog post introduces how to integrate Intelligent Selling Services into SAP Commerce Cloud 2211, so that product data can be synced from your SAP Commerce Cloud to the Intelligent Selling Services tenant.
AI has probably been part of 95% of your conversations lately. Well, it’s top of mind for SAP BTP as well! Check out the new complementary recommendations feature now available for one of our SAP AI Business Services, Personalized Recommendation. What does complementary mean?
SAP BTP acts as the enabler for SAP and partner applications to leverage generative AI capabilities in an SAP context. Generative AI capabilities in SAP BTP will improve the developer experience, how integrations are done, the process automation space, analytics and holistic planning activities, as well as simplify administrative tasks.
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.
Customer Story: Telefonica
Customer Story: Delta Airlines
With AI-based algorithms from the Personalized Recommendation service, Delta Air Lines provides a positive, personalized employee experience that motivates people to go above and beyond.