
sbaynes
· 1 min read
What if everything changes tomorrow? A Canadian company is using AI to help businesses navigate supply chain uncertainty
Global conflicts, shifting tariffs, trade disruptions and regulatory uncertainty are forcing companies worldwide to rethink how they manage supply chains.
For many, the challenge is not only moving goods from one place to another but understanding, in real time, how a disruption in one part of the world could ripple through factories, suppliers, inventory, transportation costs and customer demand.
Canada-based Kinaxis is trying to help companies find the right answers faster. Its flagship platform, Maestro, uses predictive AI, advanced scenario modeling and agentic AI to help businesses forecast demand, test possible scenarios and adjust plans when conditions change.
“What customers need is to be very adaptable and very agile. And that’s the way Maestro plays a very critical role,” says Razat Gaurav, Kinaxis’ CEO. With the ongoing Strait of Hormuz conflict, for instance, customers have increased scenario modeling by more than 120% from pre-conflict levels, he notes.
The tool is used by global companies, from automakers and technology giants to energy and shipping leaders, to manage complex supply chains, respond to shortages and model the potential impact of tariffs and other disruptions. For Kinaxis, there’s a broader global shift: supply chains that once ran on stable assumptions now need systems that can absorb constant change.
Maestro is essentially an orchestration platform for end-to-end supply chain management. It brings together data from across a company, including sales orders, product information, production capacity and inventory, and combines it with external signals such as weather, market shifts and breaking news.
Delay 28 days Cost 0 $M Risk 5 scoreRather than managing demand planning, inventory, logistics and production in separate systems, companies can evaluate these interconnected functions in one tool, powered by predictive AI and AI agents, helping planners understand how changes in one area affect the rest of the business and respond more quickly to disruptions.
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Original source
This story was published by Microsoft AI and written by sbaynes. SyncAI.news shows a preview; the complete article is on the publisher's site.
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