Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
A global logistics organization overseeing 34 ports and terminals and a fleet of 270 vessels that handle complex, data-heavy processes across international supply chains.
Managing this vast network relied on paper-heavy procurement, fragmented knowledge bases, and manual processes for complex tasks like balancing empty...
“AI is a major part of everything we do—it’s not separate from our core operations.”
Global trade, logistics, and industrial zone operator based in the UAE.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Staff manually searched files to resolve vessel delays. Now, they use Copilot to organize past data into tables for rapid responses.
Allocation decisions took hours, often becoming obsolete. Now, specialized agents execute thousands of complex moves in seconds.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Allocation decisions took hours, often becoming obsolete. Now, specialized agents execute thousands of complex moves in seconds.
Launching a cold chain network from scratch demanded a scalable foundation. Now, ML automatically allocates tasks and optimizes routes.
Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Fragmented data caused excess inventory and manual workloads. Now, AI automates forecasts so planners can dynamically adjust stock.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
A global logistics organization overseeing 34 ports and terminals and a fleet of 270 vessels that handle complex, data-heavy processes across international supply chains.
Managing this vast network relied on paper-heavy procurement, fragmented knowledge bases, and manual processes for complex tasks like balancing empty...
“AI is a major part of everything we do—it’s not separate from our core operations.”
Global trade, logistics, and industrial zone operator based in the UAE.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Staff manually searched files to resolve vessel delays. Now, they use Copilot to organize past data into tables for rapid responses.
Allocation decisions took hours, often becoming obsolete. Now, specialized agents execute thousands of complex moves in seconds.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Allocation decisions took hours, often becoming obsolete. Now, specialized agents execute thousands of complex moves in seconds.
Launching a cold chain network from scratch demanded a scalable foundation. Now, ML automatically allocates tasks and optimizes routes.
Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Fragmented data caused excess inventory and manual workloads. Now, AI automates forecasts so planners can dynamically adjust stock.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.