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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Retail Execution | 20-25% | - Store and account management - Check-in and check-out workflows - Route optimization basics - GPS tracking and location services - Visit planning and scheduling |
| Topic 2: Consumer Goods Cloud Overview and Configuration | 15-20% | - Consumer Goods Cloud architecture and data model - Configuration settings and administrative controls - User licensing and permission sets - Consumer Goods Cloud product overview and key capabilities |
| Topic 3: Mobile Application Features | 10-15% | - Photo capture and attachments - Digital asset access - Offline capabilities - Consumer Goods Cloud mobile app overview |
| Topic 4: Inventory and Stock Management | 15-20% | - Stock replenishment workflows - Inventory tracking features - Product information management - Inventory reconciliation |
| Topic 5: Tasks and Activities Management | 15-20% | - Calendar integration - Task completion and tracking - Activity types and templates - Task creation and assignment |
| Topic 6: Performance Analytics and Reporting | 15-20% | - Custom report creation - KPI tracking and metrics - Pre-built reports and dashboards - Data visibility and sharing settings |
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NEW QUESTION # 96
A Field Rep is having challenges measuring their share-of-shelf due to a recent change in packaging to a competitor's product, which makes their products look almost identical. When using Einstein, the competitor's product was marked incorrectly as the rep's product. What should the rep do to prevent this from happening in the future?
Answer: C
Explanation:
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 References: [Salesforce Consumer Goods Cloud Implementation Guide], page
24.
NEW QUESTION # 97
With which object is the promotion object directly associated?
Answer: C
NEW QUESTION # 98
Alpine, a Consumer Goods company, is launching a new division dedicated to fresh baked breads delivered to restaurants and groceries. In an effort to move product rapidly and pick up new clients they need to extend their current customer onboarding process to allow field reps to onboard new customers while on their daily route. Which option is a best practice to complete this requirement ?
Answer: A
NEW QUESTION # 99
A Field Rep is having challenges measuring their share-of-shelf due to a recent change in packaging to a competitor ' s product, which makes their products look almost identical. When using Einstein, the competitor
' s product was marked incorrectly as the rep ' s product. What should the rep do to prevent this from happening in the future?
Answer: A
Explanation:
The appropriate action is to edit the product tags so that the incorrectly detected object is associated with its correct product classification. Product identification depends on the relationship between the detected item and the product label assigned to it. When two packages have highly similar visual characteristics, a detected object can require correction to ensure subsequent shelf-analysis results reflect the correct SKU or competitor product.
Share-of-shelf measurements depend on accurate identification of the products occupying the shelf. If an item belonging to a competitor is classified as the company ' s own product, the calculated shelf presence becomes overstated and the resulting compliance data is unreliable. Correcting the product tag addresses the classification problem at its source rather than manipulating the physical shelf or abandoning the assessment.
This approach also aligns with the underlying object-detection model. Detection systems generate identified objects and associate those detections with product classifications. Accurate labels and representative examples are fundamental to reliable image-based object recognition. Where product appearance changes substantially, maintaining accurate classification information is essential to preserving measurement quality.
Creating a different planogram would change the expected merchandising arrangement but would not correct an incorrectly classified detected product.
Study Guide Topics:Platform - > Einstein Object Detection - > Product Recognition - > Product Tags - > Share-of-Shelf Accuracy
NEW QUESTION # 100
Which Statement is accurate regarding Action Plan Templates?
Answer: D
Explanation:
Action Plan Templates in Consumer Goods Cloud can be cloned, enabling users to replicate and modify templates for various purposes and scenarios.
NEW QUESTION # 101
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