Friday Briefing: Combining AI and IoT to improve operational performance

At this event, the team from Secure Agility will use a series of case studies to demonstrate how combining AI and IoT can dramatically improve operational performance at large industrial facilities such as ports, depots, and logistics hubs.

For organisations that manage sites with a constant flow of vehicles, containers, and cargo, operational efficiency is critical. Even small delays can have a major impact on productivity, safety, service levels and the bottom line.

During this session, we’ll explain how AIoT technology helps facility operators:

• Turn Data into Action: Gather, clean, and ingest real-time sensor and camera data, then apply AI to identify patterns, bottlenecks, and opportunities for improvement.
• Reduce Congestion and Waiting Times: Predict and manage incoming traffic — for example, avoiding kilometre-long truck queues like those that once challenged a major Australian grain company.
• Gain Real-Time Operational Insight: See what’s happening on-site — from identifying whether trucks are carrying containers or empty loads to tracking equipment use and vehicle flow.
• Optimise Partner Coordination: Align scheduling with suppliers and contractors using accurate, live data rather than manual estimates.
• Utilise Existing Infrastructure: Improve utilisation of current assets before investing in expensive capital works.

AIoT’s combination of sensors, computer vision, and analytics gives operators a single, data-driven view of site activity — enabling faster, smarter decisions that reduce downtime and improve overall performance.

Whether you manage an industrial facility, port, or logistics hub, this briefing will show how AIoT technology delivers measurable efficiency gains without increasing operational complexity.