Which statement is correct about Consumer Goods- Einstein Visit Recommendations?

Einstein Visit Recommendations are generated based on a set of configurable rules and data points to suggest the most impactful store visits. A fundamental constraint in this logic is the store's operating hours, which are defined on the Retail Store record. The system will not recommend a visit for a time when the store is closed, ensuring that all suggestions are practical and actionable for the field representative. This is a core part of the recommendation engine's logic to ensure feasibility.

A. Visit Recommendations are automatically generated by recent case activities: Recommendations are based on sales data, store priority, and defined rules, not typically on service-related case activities.

B. Visit Recommendations automatically take into consideration already created visits for the store: While the system does filter out stores with existing visits, this is a de-duplication step rather than a primary rule that generates the recommendation itself.

D. Visit Recommendations can be created using the Next Best Action Strategy: Einstein Visit Recommendations is a distinct feature with its own configuration and logic, separate from the broader Next Best Action/Einstein Next Best Action framework.

1. Salesforce Help. (2023). How Einstein Visit Recommendations Work. This document lists the factors Einstein considers, explicitly stating, "Store’s operating hours" as a key factor.

2. Salesforce Help. (2023). Set Up Einstein Visit Recommendations. Step 4 of the setup process, "Create Recommendation Rules," details how the logic uses store attributes, and the prerequisite section mentions ensuring operating hours are set on retail store records.