Staff manually searched files to resolve vessel delays. Now, they use Copilot to organize past data into tables for rapid responses.
A global logistics and distribution company with over 10,000 employees manages complex operations across shipping, finished vehicles, energy, and e-commerce.
Employees relied on manual processes to manage daily operations, such as searching through past files to address vessel shipment delays or repeatedly...
“Microsoft 365 Copilot is not a fixed, fully completed system that simply provides functions. It remains an evolving solution that users are encouraged to tailor to their specific workflows, as its capabilities continue to grow.”
Logistics, shipping, and supply chain management provider for the automotive industry.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
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.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
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.
Staff manually searched files to resolve vessel delays. Now, they use Copilot to organize past data into tables for rapid responses.
A global logistics and distribution company with over 10,000 employees manages complex operations across shipping, finished vehicles, energy, and e-commerce.
Employees relied on manual processes to manage daily operations, such as searching through past files to address vessel shipment delays or repeatedly...
“Microsoft 365 Copilot is not a fixed, fully completed system that simply provides functions. It remains an evolving solution that users are encouraged to tailor to their specific workflows, as its capabilities continue to grow.”
Logistics, shipping, and supply chain management provider for the automotive industry.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Manual survey tagging kept staff from the field. Now, workers use Copilot to analyze donor feedback and build tracking apps in days.
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.
Comparing quotes and sorting inquiries manually bottlenecked staff. Now, AI handles both while custom agents proactively flag supply risks.
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.