Available with: Microsoft Copilot Studio
Manufacturing scenario: Production schedule optimizer agent
Scenario
Use Copilot Studio to create a production schedule optimizer agent
Dynamically generates and updates factory production schedules by factoring in constraints and system data—ensuring that planners can minimize delays, avoid stockouts, and improve order fulfillment.
Retrieves production plans, bill of materials (BOM), and job orders from enterprise systems to establish baseline schedules.

AI Agent
Benefit: Centralizes all production-related information for accurate baseline.
Collects machine availability, performance, and health status (e.g., temperature, vibration) to detect downtimes or over-utilized assets.

AI Agent
Benefit: Incorporates machine-related data into scheduling.
Gathers shift rosters and personnel availability to ensure labor readiness in the updated plan.

AI Agent
Benefit: Collects shift rosters and personnel availability data to prevent resource conflicts.
Continuously updates production schedules to reduce delays, avoid bottlenecks, and make better use of resources.

AI Agent
Benefit: Generates optimal schedules with minimal stockouts and improved throughput.
Communicates updated schedules or potential delays through email, or alerts.

AI Agent
Benefit: Keeps planners informed and enables faster course corrections.
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
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