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.
AD Ports Group's Operations automation is part of this use case:
Related implementations across industries and use cases
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Legacy Access and VBA forms couldn't scale or integrate; a conventional rewrite would run a year. AI rebuilt them cloud-native, 37% cheaper.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
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.
AD Ports Group's Operations automation is part of this use case:
Related implementations across industries and use cases
Deciphering messy emails and handwritten PDFs took employees 7 minutes per order. Now, AI parses the unstructured data to build orders.
Routine code and junior support bogged down leads. AI now lets juniors work independently, freeing seniors for complex architecture.
Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Legacy Access and VBA forms couldn't scale or integrate; a conventional rewrite would run a year. AI rebuilt them cloud-native, 37% cheaper.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.