RAM Solutions designed a Microsoft Copilot Studio proof of concept for a supply chain AI agent that helps users check shipment status, retrieve ETA and carrier details, identify delays, and support exception management workflows.
This solution demonstrates how AI agents can support real business operations by reducing manual lookups, improving response consistency, and creating a more structured way for logistics and operations teams to access shipment information.
This proof of concept was designed to explore how an AI agent could support supply chain teams with one common operational need: checking the status of a shipment.
The agent was designed to help users ask for shipment updates in natural language, provide or confirm a shipment ID, retrieve structured shipment information, and return a clear business-friendly response.
Industry: Supply Chain / Logistics
Business Area: Warehouse and Transportation Operations
Solution Type: AI Agent + Workflow Automation
Use Case: Shipment Status Lookup and Exception Support
Technologies: Microsoft Copilot Studio, Power Automate, Excel, SharePoint
In many supply chain environments, teams depend on emails, spreadsheets, system lookups, and manual follow-ups to answer a simple question:
“What is the status of this shipment?”
While the request sounds simple, the process behind it can involve several manual steps: searching for the shipment ID, validating carrier information, checking ETA, reviewing delay indicators, and determining whether an exception needs to be created.
This can create delays, inconsistent responses, and unnecessary manual effort for transportation, warehouse, and operations teams.
The AI agent follows a simple operational flow designed around the user’s business journey.
User Request → AI Agent → Shipment Data → Status Response → Exception Support
The user asks for a shipment update. The AI agent identifies the request, retrieves shipment data from a structured source, returns the current status, and supports follow-up actions when a shipment is delayed or requires additional attention.

The agent allows users to request shipment updates in natural language and receive a structured response with shipment status, ETA, carrier details, delay information, and last update details.
In this proof of concept, the agent was designed to return clear business-friendly responses using structured shipment data.

This type of AI agent can help supply chain teams improve operational visibility, reduce manual lookup effort, and standardize how shipment updates are communicated across the business.
Instead of relying only on manual searches, spreadsheets, emails, or back-and-forth follow-ups, users can interact with the agent to access shipment information in a faster, more consistent, and more structured way.
✓ Reduces manual shipment lookup effort
✓ Improves response consistency across teams
✓ Provides faster access to shipment status, ETA, and carrier details
✓ Helps identify delays and exceptions more clearly
✓ Supports exception management and follow-up workflows
✓ Creates a foundation for broader supply chain AI agent use cases
RAM Solutions helps businesses design and implement practical AI agents and automation solutions using Microsoft 365, Power Automate, Copilot Studio, SharePoint, and other business tools.
Whether you want to improve supply chain visibility, reduce manual work, or create AI-assisted workflows, we can help you identify the right opportunities and build a practical solution.
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