Available with: Microsoft Copilot Studio
Retail scenario: Price, promotion & markdown optimization agent
Scenario
Use Copilot Studio to create a price, promotion & markdown optimization agent
Optimizes pricing and promotions to improve margins and reduce aging inventory.
Analyzes product performance across stores, categories, and time using product sales data by leveraging historical sales, seasonal trends, and regional buying behavior.

AI Agent
Benefit: Analyzes product sale data to identify products that require pricing adjustments.
Generates dynamic pricing suggestions using demand forecasting models that account for factors such as seasonality, competitor pricing, price elasticity, and localized demand signals.

AI Agent
Benefit: Generates adaptive pricing, to achieve more responsive and informed pricing decisions.
Recommends targeted markdowns or promotions based on real-time inventory levels, product aging, and sales velocity and sends for approval to relevant team.

AI Agent
Benefit: Delivers quality content via emails, without much manual efforts.
1Access Microsoft 365 Copilot Chat at m365copilot.com, or the Microsoft 365 Copilot Chat mobile app and set toggle to “Web”.
2Access Microsoft 365 Copilot Chat at m365copilot.com, the Microsoft 365 Copilot Chat mobile app, or the Microsoft 365 Copilot Chat app in Teams, and set toggle to “Work”.
3AI Agents allow Copilot to access your organization-specific apps. In the past this would have required an API call to get data from a system of record.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
What's next
Explore more Retail Scenarios
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