Philippine Airlines selects IBS Software's iCargo to replace cargo system

The carrier will extend the cloud-based platform across domestic and international cargo operations as part of a modernisation programme.

Philippine Airlines (PAL) has selected IBS Software's cloud-based iCargo platform to replace its current cargo system. The implementation is intended to extend iCargo's capabilities across PAL's domestic and international cargo operations.

IBS Software will support PAL's modernisation programme with capabilities for the airline's full range of business functions. iCargo will support cargo movements across PAL's domestic and international operations, including international requirements such as customs reporting, duties and taxes settlement, and regulatory compliance. iCargo already supports carriers with this same mix of demands, providing flexibility, scale and capabilities to manage both.

The transition is expected to address key operational requirements in PAL's cargo operations, including system performance and data analytics. iCargo is expected to provide modern capabilities for faster shipment processing, greater reliability and end-to-end shipment visibility, while reducing manual intervention and enabling more efficient processes.

Jason Siy, vice president for cargo business at Philippine Airlines, said the initiative represents an important step in modernising the airline's cargo business. He said that as PAL grows across its domestic and international network, it needs a system that increases visibility, improves operational efficiency and enables a better customer experience. Siy described iCargo as a key enabler of PAL's long-term cargo transformation strategy and its ambition to build a stronger cargo business.

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Camila Restrepo

Camila Restrepo covers conveying, sortation, telescopic loading, and palletizing systems used in distribution centers and order-fulfillment buildings. She analyzes conveyor speed, unit load per meter, sortation peak rate, SKU and order structure, merge and divert behavior, and accumulation buffer sizing against measured throughput and jam-recovery time rather than catalog maximums. Her work helps intralogistics engineers and warehouse operations directors size conveying and sortation capacity, define FAT and SAT acceptance conditions, and plan controls recovery for realistic peak windows.