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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Setup | 36% | - Store Setup - Product Setup - Action Plan Setup - Promotion Setup - Retail Store KPI Setup - Planogram Setup |
| Topic 2: Integrations | 6% | - Master data management - Data synchronization - Integration with external systems |
| Topic 3: Platform | 10% | - Mobile capabilities - Platform features relevant to Consumer Goods Cloud |
| Topic 4: Visit Planning | 6% | - Territory management - Visit templates - Route planning |
| Topic 5: Analytics and Reporting | 6% | - Retail execution KPIs - Shelf share analysis - Compliance tracking |
| Topic 6: Visit Execution | 36% | - Promotion Check - Custom Task - Inventory Check - Planogram Check - Surveys - Direct Store Delivery |
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NEW QUESTION # 66
ABC Telecom wishes to offer certain offers to retain its outgoing customers. They would like to give pricing adjustments across the catalog. They also want their agents to have the ability to give runtime adjustments and wish to have the approval process defined around the same.
Which feature should the Consultant suggest to address the above requirements?
Answer: A
Explanation:
In Salesforce Industries (formerly Vlocity) environments-especially relevant for Telecom, Media, and Energy-scenarios involving runtime price changes, agent-driven adjustments, and approval workflows are handled through Discounts, not Promotions or Context Rules. Discounts are specifically designed to allow flexible, rule-driven, and approval-controlled adjustments across the catalog, making them ideal when a company wants to equip call-center or retention agents with the ability to negotiate offers with outgoing customers.
Salesforce's public guidance explains that Discounts support both manual and automated application methods. Administrators can enable runtime/manual discounts, specify discount types (percentage or fixed amount), and attach approval rules via the Industries Pricing Compliance framework. These can be targeted across the entire product catalog, specific product hierarchies, or only selected offers. This aligns perfectly with ABC Telecom's requirement to apply pricing adjustments across the catalog and allow agents to make on-the-spot price changes.
While Promotions are useful for predefined marketing offers, they do not support agent-driven runtime flexibility. Context Rules automate pricing logic but do not provide agent-level manual control. CPQ Hooks require custom development and are not intended for business-driven discounting workflows.
Therefore, Discounts are the recommended and Salesforce-aligned feature for agent-controlled runtime adjustments, catalog-wide applicability, and approval process integration, exactly matching the needs of a telecom retention team.
NEW QUESTION # 67
Which statement is true about action plan templates?
Answer: B
Explanation:
An Action Plan Template can contain multiple Inventory Check, Planogram Check, and Promotion Check assessment tasks. These are KPI-based Retail Execution activities that may need to be repeated within a single store visit for different products, categories, promotions, or in-store locations.
Salesforce explicitly states that administrators can add multiple Inventory Check, Planogram Check, and Promotion Check tasks to one Action Plan Template. By contrast, Salesforce restricts the template to only one Order Creation task or one In-Store Survey task.
This flexibility is important because a typical consumer-goods visit can involve several independent merchandising objectives. A representative might perform separate inventory checks for different store areas, validate several planograms, and verify multiple promotions during the same visit. The Action Plan Template provides a reusable framework that groups these activities and controls their required status and display sequence.
Templates must also progress through the appropriate lifecycle before operational use; simply defining the structure does not substitute for making the template available for visit execution. Salesforce further supports extensibility through flows, component tasks, and other Action Plan mechanisms.
Therefore, the ability to include multiple planogram, inventory, and promotion checks is the accurate statement.
Study Guide Topics:Visit Planning - > Action Plan Templates - > Inventory Check - > Planogram Check - > Promotion Check
NEW QUESTION # 68
Which of the following have promotions associated with them using the Consumer Goods Cloud Data Model?
Answer: A
Explanation:
Promotion Product, Promotion Channel, Retail Store KPI, and Retail Visit KPI are four objects that have promotions associated with them using the Consumer Goods Cloud Data Model. These objects help users to define, execute, and measure promotions in retail stores. They are:
Promotion Product, which represents a product that is part of a promotion.
Promotion Channel, which represents a channel or segment where a promotion is applicable.
Retail Store KPI, which represents a key performance indicator that measures how well a retail store is performing against a specific promotion goal or target.
Retail Visit KPI, which represents a key performance indicator that measures how well a field rep executed a promotion during a store visit. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 30-31.
NEW QUESTION # 69
A consultant for Northern Trail Outfitters (NTO) has been asked to setup Tableau CRM for Consumer Goods Cloud to gain insights into factors that might affect store sales. Which functionality should the consultant select to address this concern?
Answer: D
Explanation:
The Maximize Store Sales Einstein Discovery story is designed to identify factors that influence product sales and provide actionable insights that can help sales managers improve store performance.
Salesforce provides preconfigured Einstein Discovery stories within Analytics for Consumer Goods. The sales-focused story analyzes historical data to identify variables that have a positive or negative impact on product sales. Salesforce currently describes this capability as Maximize Store Product Sales, which provides insights into the factors affecting product sales and helps organizations devise strategies to increase sales at a store or store-group level.
Einstein Discovery uses the available analytics dataset to identify statistically relevant relationships and present explanations that business users can act upon. These insights can assist sales managers in understanding how factors such as product availability, assortment, store characteristics, and other operational conditions correlate with sales performance.
The Minimize Out-of-Stock story serves a different objective: it predicts products that are likely to run out of stock so representatives can mitigate availability problems. While out-of-stock conditions can affect revenue, the scenario specifically asks for broader insight into the factors affecting store sales, making the sales- maximization story the appropriate functionality.
Study Guide Topics:Analytics - > Einstein Discovery - > Maximize Store Sales - > Predictive Insights - > Sales Performance
NEW QUESTION # 70
Which statement is correct about Consumer Goods - Einstein Visit Recommendations?
Answer: C
Explanation:
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
NEW QUESTION # 71
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