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Lyttelton Port Company (LPC) is the largest port in the South Island of New Zealand. Located in Christchurch, it serves as a critical trade gateway and plays an important role in the global transport network with exports and imports worth up to $13B. With a capacity of more than 400,000 TEU, LPC offers a full array of shipping services and operates around the clock, 365 days a year, across its Container Terminal, Dry Dock, CityDepot, and MidlandPort.
LPC needed a modern, centralised solution to display real-time vessel Estimated Time of Arrival (ETA) and Estimated Time of Departure (ETD) data across operational screens. Without a unified view, delays in ship turnaround and inefficiencies in coordination were common. The system had to extract real-time data from the PortControl system and update several SharePoint lists. Moreover, it needed to refresh every 15 minutes to maintain relevance and accuracy—something not achievable with manual processes or traditional tools.
Beyond that, LPC faced broader challenges:
Lack of cloud presence limited their ability to scale and adapt quickly.
Data silos and inconsistent data formats hindered integration between systems.
Manual processes strained staff management and led to inefficiencies.
Interoperability issues between their on-premise core system (PortControl) and various SaaS platforms created integration barriers.
No standard data quality (DQ) protocols were in place, affecting the reliability of insights.
It became critical for LPC to modernise their infrastructure to boost efficiency, improve staff utilisation, and enable real-time decision-making across the port.
To address this challenge, Azure Data Factory and Azure Functions were deployed. These serverless and cost-effective services were chosen for their ease of integration, automation capabilities, and scalability.
Key solution features:
Automated every 15 minutes, the system detects and processes only new or changed data between LPC’s PortControl system and SharePoint.
Azure Functions handle lightweight processing, ensuring agility and minimal infrastructure overhead.
Azure Data Factory orchestrates data flow with precision and reliability.
This architecture ensures seamless, near real-time data sync between two heterogeneous platforms—PortControl and SharePoint.
Real-Time Visualisation: Live updates of vessel arrival and departure information across all operational screens.
Faster Ship Turnaround: Enhanced visibility enables faster response and improved planning.
Low-Cost Operations: Serverless architecture keeps maintenance and operational costs minimal.
Platform Leverage: Utilises the strengths of Azure’s scalable, serverless ecosystem.
Enhanced Safety & Fatigue Management: The new visual system supports better oversight of health and safety practices, especially related to fatigue management.
Efficient Data Integration: Smooth data exchange between two distinct systems streamlines workflows and boosts productivity.
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Adaptiv empowers Australia's top organisations to see and understand their data—inspiring breakthroughs and driving impact.
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