Kinaxis' Maestro Platform Helps Businesses Navigate Supply Chain Uncertainty with AI

Global supply chains are facing unprecedented uncertainty due to conflicts, shifting tariffs, trade disruptions, and regulatory uncertainty. Companies worldwide are rethinking how they manage their supply chains, making it challenging to predict demand, understand ripple effects, and adjust plans accordingly.

Kinaxis, a Canadian company based in Ottawa, is using AI to help businesses navigate this uncertainty with its flagship platform, Maestro. This cloud-native, AI-driven tool uses predictive AI, advanced scenario modeling, and agentic AI to forecast demand, test possible scenarios, and adjust plans when conditions change.

Maestro's CEO, Razat Gaurav, emphasizes the need for adaptability and agility in supply chain management. The platform is used by global companies, including automakers, technology giants, energy leaders, and shipping companies, to manage complex supply chains, respond to shortages, and model the potential impact of tariffs and other disruptions.

Maestro's AI agents can work with Microsoft Copilot, the AI assistant for work, allowing planners to ask questions, explore scenarios, and automate parts of the planning process. The platform also uses Azure OpenAI to support recent innovations, including Enterprise Demand Forecasting, a module designed to help organizations refine their forecasts in complex environments.