Consumer-Goods-Cloud-Accredited-Professional Exam Results

To set up Einstein Vision with Consumer Goods Cloud for automatic detection of products on the shelf, the following steps are recommended:

• Enable Einstein Object Detection, which is a feature that allows you to detect and count multiple objects within an image.
• Upload the training pictures as attachments to the planogram for Einstein Object Detection to work. A planogram is a visual representation of how products should be arranged on a shelf. The training pictures should show the actual shelf images with the products labeled and annotated.
• Train Einstein Vision Models with marketing images of products to yield optimal results. Marketing images are high-quality images that show the product details clearly and consistently. Training with marketing images can improve the accuracy and performance of the object detection models. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.

White Space Analysis is a Tableau CRM dashboard that shows opportunities to sell new products in a retail store location. It analyzes the sales performance and product distribution across different stores and segments, and identifies gaps or white spaces where new products can be introduced or existing products can be expanded. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 37.

To visualize store visits in their territory for the day by their current status, an Account Manager can create a map layer using visits as the base object and color code the markers by status. A map layer is a visual representation of data on a map that can be filtered and customized. A visit is an object that represents a scheduled or unscheduled interaction between a field rep and a retail store. The status of a visit indicates whether it is planned, in progress, completed, or canceled. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 34.