Interaction Studio integrates with Service Cloud to provide agents with aNext Best Offer widget. This widget leverages real-time behavioral data and machine learning to surface personalized offers.
Reference: Salesforce Interaction Studio and Service Cloud Integration Documentation.

Interaction Studio checks the designated SFTP server every 15 minutes for new files to ingest. This ensures relatively up-to-date data is available for personalization and other functionalities within the platform.

The Salesforce point of view for real-time personalization within Interaction Studio focuses on:
* Identify:
* Capturing user data and behavior from various touchpoints.
* Understand:
* Analyzing collected data to derive insights about preferences, interests, and intent.
* Decide:
* Using machine learning and AI to determine the most relevant personalization actions.
* Act:
* Delivering personalized content or experiences in real-time.
* Analyse:
* Monitoring and evaluating campaign performance to optimize outcomes.
References:
* Salesforce Interaction Studio Documentation - Real-Time Personalization Flow

TheEinstein Product Recommendationsglobal template is selected and customized to provide product recommendations on the homepage.
* It is pre-configured to display dynamic product suggestions based on user behavior and preferences.
References:
* Salesforce Marketing Cloud Documentation - Product Recommendation Templates

Einstein Recipesare the machine-learning-powered algorithms used in Interaction Studio (IS) to deliver personalized recommendations.
These recipes allow businesses to customize AI models to align with their specific goals.
Reference: Salesforce Interaction Studio Documentation - Einstein Recipes Overview.