Salesforce Consumer Goods Cloud Accredited Professional Exam Questions

The Tableau CRM for Consumer Goods Cloud dashboard that can provide the required data for a Field Sales Manager to determine which stores have a decline in Retail Execution KPIs and therefore need attention is the Store Performance Dashboard. The Store Performance Dashboard shows the performance and compliance of the retail stores in relation to their KPIs and promotions. The dashboard allows users to filter and analyze the data by various dimensions, such as store group, store location, product category, or visit date. The dashboard also displays metrics such as store compliance score, store revenue, store visits, and promotion compliance score. By using this dashboard, a Field Sales Manager can identify which stores are underperforming or non-compliant and take appropriate actions to improve their performance. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 37.

Einstein for CG- Visit Recommendations is a feature that uses artificial intelligence to suggest optimal store visits for field reps based on predefined rules and criteria. By adopting this feature with the consumer goods cloud, professionals can focus on their work while having information served to them that will support them in being competitive. For example, they can prioritize the most profitable or strategic stores, avoid unnecessary or redundant visits, and optimize their routes and schedules. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 36.

The Tableau CRM for Consumer Goods Cloud dashboard that can provide the required data for a Field Sales Manager to determine which stores have a decline in Retail Execution KPIs and therefore need attention is the Store Performance Dashboard. The Store Performance Dashboard shows the performance and compliance of the retail stores in relation to their KPIs and promotions. The dashboard allows users to filter and analyze the data by various dimensions, such as store group, store location, product category, or visit date. The dashboard also displays metrics such as store compliance score, store revenue, store visits, and promotion compliance score. By using this dashboard, a Field Sales Manager can identify which stores are underperforming or non-compliant and take appropriate actions to improve their performance. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 37.

To prevent Einstein from marking the competitor's product incorrectly as their own product when measuring their share-of-shelf, the field rep should edit product tags. Product tags are labels that identify and count products in an image using Einstein Vision. Einstein Vision is a feature that uses artificial intelligence to detect and count objects in an image. By editing product tags, the field rep can correct any errors or inaccuracies in the object detection process and ensure that their own products and their competitor's products are tagged correctly. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 24.

The object where a Consumer Goods Cloud Admin needs to establish the expected value for the planogram metrics is Assessment Indicator Definition. A planogram is a visual representation of how products should be arranged on a shelf. A planogram metric is a measure of how well the actual shelf image matches the expected planogram image. An Assessment Indicator Definition is an object that defines an indicator or metric that can be used to assess the performance or compliance of a retail store or an action plan task. By creating an Assessment Indicator Definition for the planogram metric, such as out of stock, share of shelf, or SKU facings, an admin can establish the expected value for that metric and use it to calculate the actual value based on the shelf image. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.