Einstein Visit Recommendations support Next Best Action strategies for determining which retail stores should be recommended for visits. Salesforce allows administrators to configure a recommendation strategy that evaluates relevant records and business criteria and produces prioritized visit recommendations for sales managers and field representatives.
A Next Best Action strategy can load relevant data, apply business rules, generate scores and reasons, and return recommendations that support store-visit planning. When a user creates a Visit Recommendation Request, the selected recommendation strategy is executed for the specified store and date context. Salesforce can also incorporate prediction information from Einstein Discovery when organizations require model-based recommendations.
The architecture separates recommendation logic from visit execution. Administrators can therefore create multiple strategies for different business priorities-for example, prioritizing stores with declining inventory, important upcoming promotions, or revenue opportunities. Salesforce documentation specifically supports both flow-based strategies and Next Best Action strategies for Einstein Visit Recommendations, enabling organizations to select the implementation approach that aligns with their planning logic and scalability requirements.
Accordingly, the ability to create Visit Recommendations through a Next Best Action Strategy is a standard supported configuration.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Next Best Action - > Recommendation Strategies - > Visit Prioritization

Einstein Vision product recognition is based on object detection, which identifies individual objects within an image and determines their position and classification. For shelf-analysis scenarios, the functionality depends on enabling the object-detection capability, providing suitable image data for recognition, and integrating that capability into the Planogram Check workflow used by field representatives.
Einstein Object Detection models rely on representative training images containing the objects that the system must recognize. Salesforce ' s object-detection architecture uses labeled images and object-location information to create a model capable of identifying multiple objects within a photograph. The quality and relevance of the image set are therefore important to reliable product recognition.
Within Consumer Goods Retail Execution, the operational component is the Planogram Check. Planogram assessment tasks provide the visit-level process through which representatives compare observed shelf conditions with the expected planogram and capture the resulting compliance information. Assessment Task Definitions define these repeatable field activities and allow them to be incorporated into Action Plan Templates used during visits.
The combination of object detection, appropriate image information, and a defined Planogram Check provides the technical and operational structure required for automated shelf-product detection in the implementation described.
Study Guide Topics:Platform - > Einstein Vision - > Object Detection - > Planogram Check - > Assessment Task Definition

The planogram Image record is associated with an In-Store Location. This relationship identifies the specific physical area of the retail store where the reference shelf arrangement applies.
Salesforce ' s Planogram Check prerequisites require administrators to create an Image record representing the planogram and then associate that Image with the appropriate In-Store Location. Typical In-Store Locations include primary shelves, aisles, checkout counters, endcaps, and other areas where products are displayed.
The association is important because a single Retail Store can contain many merchandising locations, each with a different expected layout. Linking the planogram directly to its In-Store Location enables Salesforce to present the correct reference image when a field representative performs a Planogram Check at that particular location.
The Retail Store KPI then references the corresponding In-Store Location Category, Assessment Indicator Definition, Image or planogram, product context, and KPI Type. During execution, the field representative can open Product Details within the Planogram Check and view both the products to be inspected and the associated reference image.
Therefore, the Image object containing the planogram is related to the In-Store Location where that planogram must be evaluated.
Study Guide Topics:Data Setup - > Planogram - > Image - > In-Store Location - > Planogram Check

The Delivery Task is the Consumer Goods Retail Execution object specifically designed to support Direct Store Delivery activities during a visit. It represents the delivery activity assigned to the field or delivery representative and provides the execution context through which shipments and individual product transfers are processed.
Salesforce separates the delivery process into several related records. The Delivery Task defines the activity that must be performed as part of the Action Plan associated with the Visit. A Shipment is then associated with that Delivery Task to identify the inventory that must be delivered. Products and quantities within the Shipment are represented through Product Transfer records.
This architecture allows the same delivery task framework to control execution while shipment records manage the physical movement of inventory. Salesforce specifies the Lightning Direct Store Delivery permission for users who perform Delivery Task functionality. When an Action Plan Template containing a delivery task is assigned to a visit, Delivery Task records are created and can subsequently be associated with shipments.
Therefore, Delivery Task is the purpose-built Consumer Goods object for initiating and managing Direct Store Delivery execution.
Study Guide Topics:Visit Execution - > Direct Store Delivery - > Delivery Task - > Shipment - > Product Transfer

The Store Performance Dashboard is designed for sales managers who need to evaluate store-level Retail Execution performance and identify locations requiring intervention. It provides consolidated analysis of store KPIs, compliance trends, visits, and business performance rather than limiting the analysis to one representative, product, or individual visit.
Salesforce describes the Store Performance dashboard as answering two fundamental questions: how stores are performing based on Retail Execution KPIs and which stores need attention. It also provides correlation analysis showing how Retail Execution KPIs affect store performance and how store visits influence compliance and revenue.
The underlying metrics include Average Store Compliance and changes in compliance over the selected comparison period. Salesforce calculates these measurements from Retail Visit KPI records, allowing managers to identify stores whose compliance is deteriorating relative to an earlier period. Metrics such as facing compliance, price compliance, share-of-shelf compliance, inventory compliance, and out-of-stock compliance can contribute to the analysis.
Consequently, the Store Performance Dashboard provides the appropriate management-level view for locating stores with declining Retail Execution KPI performance.
Study Guide Topics:Analytics - > Store Performance - > Retail Execution KPIs - > Compliance Trends - > Stores Needing Attention