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Yao Zhuangle

Engineering Manager, Shipping Technology & Innovation Division COSCO Shipping Specialized Carriers Co.

Bio Yao Zhuangle is Engineering Manager at the Marine Technology Division / Shipping Technology & Innovation Division of COSCO Shipping Specialized Carriers Co., Ltd. He has over ten years of experience in marine cargo engineering and focuses on heavy-lift transport engineering, structural design and auto-stowing systems. He has contributed to a wide range of transport projects, including wind power equipment, modules, containers and vehicles, and has deep expertise in stowage technology. By embedding cargo stowage rules into algorithms, he has driven the development of auto-stowing systems, achieving notable innovations and breakthroughs. The system significantly reduces stowage planning time, improves operational efficiency, and increases vessel loading capacity.


Event Agenda Sessions

AI-ready supply chains: Data maturity, cybersecurity and scenario planning in project logistics

AI can only support project logistics when the underlying information is reliable, shared and usable. This session asks what cargo owners, EPCs, carriers and forwarders need to put in place before AI can add value in live project execution, including trusted data, clear ownership, cybersecurity and human accountability. 

The discussion will the test these requirements against realistic project logistics disruptions, examining how AI-supported planning could help teams respond when a vessel is delayed, a port becomes unavailable, documentation breaks down or systems are compromised. 

Through a moderated scenario planning exercise, panellists and delegates will be asked to consider what information is needed to make better decisions, where AI can improve visibility and planning, and where expert judgement, safety oversight and accountability remain essential. 

Wednesday 18 November 15:00 - 15:50 Breakbulk Live Stage

Add to calendar 11/18/2026 15:00 11/18/2026 15:50 AI-ready supply chains: Data maturity, cybersecurity and scenario planning in project logistics

AI can only support project logistics when the underlying information is reliable, shared and usable. This session asks what cargo owners, EPCs, carriers and forwarders need to put in place before AI can add value in live project execution, including trusted data, clear ownership, cybersecurity and human accountability. 

The discussion will the test these requirements against realistic project logistics disruptions, examining how AI-supported planning could help teams respond when a vessel is delayed, a port becomes unavailable, documentation breaks down or systems are compromised. 

Through a moderated scenario planning exercise, panellists and delegates will be asked to consider what information is needed to make better decisions, where AI can improve visibility and planning, and where expert judgement, safety oversight and accountability remain essential. 

Breakbulk Live Stage Asia/Shanghai