Salesforce Updated Consumer-Goods-Cloud-Accredited-Professional Exam Questions and Answers by zaviyar

Quip Documents, Einstein Predictions, and Custom Object Task List are three components that can be added to a new page for the Consumer Goods Cloud mobile application. These components provide additional functionality and information for users in the field. They are:

• Quip Documents, which allows users to access and collaborate on Quip documents within the app. Quip documents are cloud-based documents that can include text, images, spreadsheets, charts, and more.
• Einstein Predictions, which allows users to see predictions and recommendations from Einstein AI based on their data and actions. For example, users can see predictions for sales revenue, product demand, or visit outcomes.
• Custom Object Task List, which allows users to create and complete tasks related to custom objects within the app. Custom objects are objects that are defined and configured to suit specific business needs. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 40-41

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 References: [Salesforce Consumer Goods Cloud Implementation Guide], page 37.

Visit Recommendations are suggestions for field reps to visit certain stores based on predefined rules and criteria. One of the correct statements about Visit Recommendations is that they automatically take into consideration already created visits for the store, meaning that they do not recommend visiting a store that already has a scheduled or completed visit within a certain time frame. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 36.