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Kinaxis launched the Maestro platform with predictive and agentic AI for supply chain planning

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Kinaxis operates the Maestro platform with predictive and agentic AI for supply chain planning on Microsoft Azure. According to the company, scenario modeling among customers increased by over 120 % during the conflict in the Strait of Hormuz region; the platform is also used by Fortune 500 companies.

Canadian company Kinaxis operates the Maestro platform, which it launched in 2024 as a cloud-based successor to the older RapidResponse product. The platform combines predictive AI, advanced scenario modeling and agentic AI and, according to the company, provides end-to-end supply chain planning and management in a single tool instead of separate systems for demand, warehouses, logistics and production.

Maestro connects internal company data – sales orders, production capacity, warehouses – with external signals such as weather, market changes and current news. The platform runs on Microsoft Azure and uses Azure Kubernetes Service, Azure Databricks, Azure OpenAI, Azure Cosmos DB, Azure AI Content Safety and Foundry IQ to process data, generate recommendations and communicate with planners in natural language.

According to Kinaxis CEO Razat Gaurav, customer use of scenario modeling increased by more than 120 % compared with the level before the conflict in the Strait of Hormuz region. According to Kinaxis, the platform is used by Fortune 500 companies across the automotive, technology and energy sectors. Kinaxis was founded in 1984 in Ottawa. Details can be found in the source article.

What changed

Why it matters

For companies with complex supply chains, consolidating demand, production, warehouse and logistics planning into a single tool with AI offers a faster response to geopolitical and market shocks – according to Kinaxis, this is demonstrated by the significant increase in the use of scenario modeling during the conflict in the Strait of Hormuz. For individual planners at these companies, this means a shift toward working with AI agents and dashboards instead of manually reconciling data from separate systems.

Two audiences, two different impacts

What this means

01

For individuals

Supply chain planners who work with similar tools can expect some analytical work to shift to AI agents and dashboards, with less manual merging of data from separate systems.

What to do If you work in supply chain planning, familiarize yourself with the scenario modeling and AI agent capabilities in the tools your company uses.
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02

For a business

According to Kinaxis, companies with complex supply networks can use platforms such as Maestro to assess the impact of geopolitical shocks and market fluctuations more quickly, as demonstrated by an increase of over 120% in scenario modeling during the conflict in the Strait of Hormuz.

Processes
What to decide Consider using similar platforms to consolidate demand, production and logistics planning into a single tool with scenario modeling if the company faces supply chain uncertainty.
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Agentic AI Kinaxis Maestro predictive AI scenario modeling supply-chain

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Event sources

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1
Microsoft AI blog (Microsoft Source — AI topic) primary source · first detected What if everything changes tomorrow? A Canadian company is using AI to help businesses navigate supply chain uncertainty