Success story
Ports Operator: AI Scheduling Agent
Shipment schedules had to be pulled from emails and websites by hand, delaying insight.
- Client
- Ports Operator
- Industry
- Aviation and transport
- Technologies
- Microsoft Copilot, SharePoint Online, Power Automate, Azure SQL
This client manages key ports that serve as freight gateways for Australian trade.
The challenge
Staff extracted shipment scheduling data from email attachments and websites manually, so reporting ran late and sources never quite lined up.
What we did
We built an AI agent that reads the attachments and websites itself, files the data and flags changes to stakeholders.
Shipment schedules had to be pulled from emails and websites by hand. We built an agent that reads them and files the data itself.
Why it mattered
Scheduling data arrived as email attachments and web pages, and someone had to extract it manually before anything could be reported on. That introduced delay between a schedule changing and anyone knowing, and it left the sources disconnected, so there was no single reliable view of what was moving when.
What we did
- Built an agent to do the extraction. Reading shipment scheduling data from email attachments and websites.
- Used AI to interpret the documents. Analysing PDFs and web data to identify the scheduling details that matter.
- Stored the history. Records kept in a SharePoint list so trends are visible, not just the current state.
- Automated the record updates. Upserts into SharePoint and Azure SQL, so the data stays current without intervention.
- Notified the right people. Stakeholders alerted automatically when a shipment change is detected.
The difference it made
- Data ingestion and analysis running automatically instead of by hand.
- Greater accuracy, with extraction that does not tire or skip a line.
- One source of truth in SharePoint for scheduling reporting.
- Changes flagged as they happen rather than discovered later.
- A foundation the team can extend to other automation.
The results
What Ports Operator got
Schedules gathered automatically
AI reads the email attachments and websites instead
One source of truth
History held in SharePoint and Azure SQL
Changes flagged as they happen
Stakeholders are notified without having to check
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