Supply chain disruptions have become a constant challenge for organizations worldwide. As businesses face increasing uncertainty, relying solely on manual analysis and human decision-making is no longer enough to respond quickly and effectively.
Agentic AI represents a new generation of AI that not only understands information but can also reason, make decisions, and take action using business data. When integrated with Microsoft Dynamics 365 Supply Chain Management and Copilot, Agentic AI enables organizations to proactively identify risks, streamline decision-making, and improve operational resilience. In this article, we’ll explore what Agentic AI is, why it matters, and how it is shaping the future of supply chain management.
1. Why Is Agentic AI Necessary?
Currently, supply chain disruptions are occurring with high frequency around the world.
- Geopolitical instability
- Fluctuations in transportation costs
- Supplier failures
- Changes in laws and regulations
However, in many companies today, information remains fragmented across different systems and teams.
To respond to supply chain disruptions, it is necessary to use Agentic AI to quickly gather information across departments and act immediately.
2. What Is Agentic AI?
Agentic AI refers to “AI that understands human instructions, uses the necessary tools, and can think and act independently.”
1. Collects the necessary data on its own.
2. Assesses the situation.
3. Determines the next course of action.
4. Executes or proposes necessary actions to humans.
Traditional AI:
“Part A is likely to run out of stock.”
Agentic AI:
“Part A is likely to run out of stock. The reason is predicted to be a delay caused by a strait blockade at Location B. This is expected to affect Products C and D, and the production schedule is projected to be delayed by one week. I recommend placing an order with Company E. Additionally, here are other potential suppliers. Would you like me to contact the person in charge?”
This image was created by Copilot.3. Use Cases
For example, if a supplier notifies your company of a delivery delay via email,
Traditional Approach
1. The person in charge checks the email
2. Investigates the scope of the impact
3. Holds a meeting with the people in charge
4. Discusses alternative solutions
5. Acts on the alternative solutions
What Agentic AI Can Do Without Human Intervention:
1. Automatically detects delivery delays
2. Immediately analyzes the impact
3. Proposes alternative suppliers
4. Notifies team members
5. Suggest recommended actions
This image was created by Copilot.This can significantly reduce the costs and time caused by delays.
By using Agentic AI, you can significantly reduce the costs and time associated with delivery delays.
4. What should you do to use the AI agent?
If your company implements Agentic AI, it doesn’t automatically become usable.
For Agentic AI to provide accurate analysis and suggestions, the following operational data is necessary.
- Procurement Data
- Inventory Data
- Manufacturing Data
- Warehouse Management Data
- Logistics Data
Microsoft Dynamics 365 Supply Chain Management serves as the database for this information. With this data foundation, Copilot and Agentic AI can make independent judgments, provide answers, and act.
5. Conclusion
Supply chains are becoming increasingly complex, making it difficult to manage them based on human predictions alone.
✅ Microsoft Dynamics 365 Supply Chain Management → Management of various types of data
✅ Copilot → Uses data to answer questions
✅ Agentic AI → Independently analyzes data and proposes next steps
By using these tools, your company can rapidly integrate information across different departments and quickly adapt to a rapidly changing market environment.
References:
From intelligence to impact: How agentic AI is reshaping today’s supply chain – Microsoft Dynamics 365 Blog
