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Set Up and Maintain Retail Execution
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          Einstein Generative AI for Consumer Goods Cloud

          Einstein Generative AI for Consumer Goods Cloud

          Use generative AI capabilities for comprehensive account performance evaluations, or inventory deviations. You can view the summary, insights, or recommendations through the Einstein Quick Insights component added to the object.

          Required Editions

          Available in: Lightning Experience
          Available in: Enterprise and Unlimited Editions with Consider Goods Cloud, Agentforce for Consumer Goods and the required add-ons.

          Important: This tool uses generative AI, which can produce inaccurate or harmful responses. Before using, review the output for accuracy and safety. You assume responsibility for how the outcomes of Einstein are applied to your organization. For more information, see About Einstein Generative AI.

          Health Assessment for Managed Accounts with Einstein

          Health assessment gives you:

          • Highest- or lowest-performing products, brands, or categories of an account.
          • Total revenue from orders within a particular time duration.
          • Challenges faced by underperforming accounts based on visit feedback, customer reported tasks, and customer asset audits.

          Account performance can help you with performance analysis of accounts.

          Inventory Deviations with Einstein

          Inventory deviations give you:

          • Discrepancies during inventory reconciliation (for example, expected product checkout quantity versus actual checkout quantity).
          • List of products on a truck that aren’t part of the check-in document.

          Inventory deviations can help you identify the most common reasons for inventory deviations.

          Prompts Templates for Consumer Goods Cloud

          A prompt is the set of detailed instructions that you give an Large Language Model (LLM). A great prompt is like a recipe. It gives specific information about the situation, data, instructions, and limits that help the model make accurate and personalized results. The output that the LLM generates is called a response.

          In Consumer Goods Cloud, prompts use the invocable actions in Apex classes to return data from objects and generate a response. You can even create a customizable invocable action to retrieve data as needed. To know more about prompts, See Get to Know Prompt Builder.

           
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