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| Section | Weight | Objectives |
|---|---|---|
| Admin and Configuration | 12% | - Consumer Goods Cloud Data Model - Reports and Dashboards - User Setup and Permissions - Mobile Configuration |
| Store Execution | 15% | - Store Survey and Feedback - Store Execution Process - Assortment Monitoring - Planogram Compliance |
| Visit Planning | 23% | - Visit Plan and Visit Plan Targets - Territory Management - Visit Planning Process - Visit Schedule and Frequency |
| Store Execution Configuration | 12% | - Configuration of Planogram Compliance - Configuration of Store Survey and Feedback - Configuration of Store Execution Process - Configuration of Assortment Monitoring |
| Visit Planning and Execution Configuration | 15% | - Configuration of Order Capture and Order Submission - Configuration of Inventory Checks and Product Listings - Configuration of Photo Capture and Survey - Configuration of Visit Plans and Visit Plan Targets - Configuration of Visit Tasks and Task Types - Configuration of Promotion Checks and Promotion Details |
| Visit Execution | 23% | - Photo Capture and Survey - Visit Execution Process - Visit Tasks and Task Types - Promotion Check and Promotion Details - Inventory Check and Product Listing - Order Capture and Order Submission |
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NEW QUESTION # 83
How would an order template for frequently bought products be created for a particular outlet?
Answer: A
Explanation:
For a particular retail outlet, frequently ordered products can be modeled through Store Product records and marked as Favorite. Store Product establishes the product-to-store relationship and provides outlet-specific ordering attributes that streamline repetitive order capture.
Salesforce ' s Consumer Goods data model includes both Is Favorite and Default Order Quantity on Store Product. This allows a frequently purchased SKU to be marked as a preferred product for the store and assigned the quantity that is normally ordered.
Salesforce Trailhead demonstrates this configuration directly. Administrators or sales managers associate products with a store or In-Store Location, select the Favorite checkbox, and optionally enter a Default Order Quantity. During order capture, field representatives can sort or filter for favorite products, helping them quickly locate the outlet ' s commonly purchased items and replenish them using the expected quantities.
This approach is outlet-specific because the favorite designation resides on the relationship between the product and the Retail Store rather than globally on Product2. It therefore accommodates situations where the same product may be frequently purchased by one store but not another.
Saved carts and Account-level assortment records do not provide this same store-specific favorite-product mechanism.
Study Guide Topics:Visit Execution - > Order Capture - > Store Product - > Favorite Products - > Default Order Quantity
NEW QUESTION # 84
Answer: A,E
Explanation:
These steps are essential in setting up Einstein Vision for automatic product detection on shelves, involving enabling the feature, defining relevant tasks, and training the models with appropriate product images.
NEW QUESTION # 85
Which of the following three capabilities are available with Salesforce Maps Advanced to support Store Visit planning?
Answer: B,C,E
Explanation:
Salesforce Maps Advanced supports sophisticated store-visit planning through traffic-aware routing, routing constraints, and Visit Windows.
Traffic information helps field representatives and planners account for expected travel conditions.
Agentforce Consumer Goods optimized-route functionality uses travel time between visits and provides real- time traffic information and route suggestions so representatives can react to congestion, roadworks, and other delays.
Maps Advanced also performs constraint-based optimization. Route generation considers operational constraints such as the planning period, required visit frequency, working schedules, travel time, maximum segment length, and other optimization criteria. These constraints allow the routing engine to generate routes that balance customer-coverage requirements with the practical capacity of field representatives.
Visit Windows define when a customer or retail location can accept a visit. Administrators can establish specific days and times, such as weekdays between 9:00 AM and 11:00 AM. Maps Advanced then attempts to schedule future visits inside those windows while generating optimized routes.
Together, these capabilities allow sales managers to create realistic multi-stop schedules that account for travel conditions, operational restrictions, and customer availability.
Study Guide Topics:Visit Planning - > Salesforce Maps Advanced - > Route Optimization - > Constraints - > Visit Windows - > Traffic
NEW QUESTION # 86
Universal Containers has a requirement to establish dependencies between independent commercial products, such as ensuring that the 'Roaming Service' cannot be activated without first activating the 'Voice Service.' The provisioning system insists on receiving a single request for the activation of both products.
Which approach should the consultant recommend to ensure seamless integration and streamlined operations while addressing these business requirements?
Answer: B
Explanation:
Salesforce Communications Cloud supports product dependencies through Relies-On Relationships. These relationships enforce commercial dependencies (e.g., Roaming requires Voice Service) and guide technical decomposition so that dependent products are fulfilled together.
To satisfy the requirement that the provisioning system receive a single activation request for both Voice Service and Roaming, the dependency must be modeled using:
✔ Relies-On Relationship
This ensures the commercial cart enforces prerequisite activation rules-Roaming cannot be purchased or activated without Voice Service.
✔ Decomposition Scope = Order Item
When decomposition scope is set to Order-Item for the technical product relationship, both commercial products decompose into a single technical activation request for fulfillment. This is the exact Salesforce-recommended pattern when dependent commercial products must trigger one consolidated orchestration/activation flow.
Why other options are incorrect:
A (Scope = Account): would merge across the whole account, not just the order.
C (Scope = Relies-On): no such decomposition scope exists; invalid choice.
D (Bundle Product + Multilevel Decomposition): bundling is not required, and it changes the commercial product structure unnecessarily.
NEW QUESTION # 87
Northern Trail Outfitters wishes to use Tableau CRM as part of their Consumer Goods Cloud rollout. What data is required to support successful creation of the app?
Answer: C
Explanation:
CRM Analytics for Agentforce Consumer Goods requires a minimum set of records before the Analytics for Consumer Goods app can be successfully created. Salesforce identifies the required data objects as Account, RetailStore, Visit, RetailVisitKpi, and Product2. An Order record is additionally required when the organization wants to include both Retail Execution and sales data.
The Retail Visit KPI requirement is particularly important because Retail Visit KPI records contain actual information captured during visits against the Assessment Indicator Definitions and targets configured for Retail Execution. These records provide the analytics layer with visit-level compliance and performance measurements that can be used in dashboards for store performance, product performance, territory analysis, and other Retail Execution insights.
Retail Visit KPI records are generated as part of the assessment-task process based on the underlying Retail Store KPI configuration. Salesforce therefore requires at least one RetailVisitKpi record in the organization when validating the data prerequisites for the CRM Analytics application.
The analytics setup process validates these minimum data requirements and displays a message when required records are missing.
Study Guide Topics:Analytics - > CRM Analytics for Agentforce Consumer Goods - > Data Requirements - > Retail Visit KPI - > Retail Execution Analytics
NEW QUESTION # 88
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