Salesforce Einstein AI for Commerce

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Integrates Einstein AI capabilities into Salesforce Commerce storefronts to deliver personalized product recommendations, predictive sorting, and enhanced search relevance.

This skill empowers developers to implement and optimize Salesforce Einstein AI features within B2C Commerce environments, covering both SFRA and PWA Kit architectures. It provides structured guidance for configuring recommendation zones (Product-to-Product, Trending, Personalized), setting up activity tracking via collect.js, tuning search dictionaries, and integrating Data Cloud for unified customer profiles. Use this skill to boost conversion rates and average order value by leveraging machine learning for automated product ranking and personalized shopping experiences across the entire customer journey.

주요 기능

01Activity tracking configuration for ML model data collection
02Search Dictionary management for synonyms, hypernyms, and relevance tuning
03Multi-type Einstein Recommendations (Product-to-Product, Top Sellers, Recently Viewed)
04Data Cloud integration for unified cross-channel profile personalization
05AI-Powered Predictive Sort for personalized category page rankings
0632 GitHub stars

사용 사례

01Adding AI-driven product carousels to Product Detail Pages (PDP) to increase cross-sell
02Personalizing the homepage experience for returning customers using Data Cloud segments
03Optimizing search results using Einstein Search Dictionaries to reduce zero-result queries