The Canadian software company helping businesses survive supply chain chaos with AI
Kinaxis built a platform that watches your entire supply chain at once and warns you before a problem in one corner becomes a crisis everywhere else.
Key points
- Kinaxis, founded in Ottawa in 1984, launched its AI-driven supply chain platform Maestro in 2024.
- Customers using Maestro increased scenario modelling by more than 120% after the Strait of Hormuz conflict began.
- Maestro runs on Microsoft Azure and uses multiple layers of AI, from demand forecasting to autonomous software agents that flag problems and suggest fixes.
- Human planners keep final decision-making authority; AI agents work inside defined rules and hand recommendations up for approval.
- The platform serves Fortune 500 companies across automotive, technology, energy and shipping industries.
Imagine your company makes car parts. A conflict flares up in the Middle East, a key shipping route closes, and within hours your costs spike and your delivery schedules fall apart. You need answers fast. Which factories can pivot? Which customers need a warning? What does this cost you?
That is precisely the problem Kinaxis is trying to solve.
What does Maestro actually do?
Maestro is software that pulls all of a company's supply chain information into one place and uses AI to help planners spot trouble, test different plans, and act quickly. Think of it as a control room for everything a company buys, makes, stores and ships.
Traditionally, companies managed demand forecasting, warehouse inventory, production schedules and logistics in separate systems that rarely talked to each other. A shock to one area would ripple through the rest before anyone noticed. Maestro connects those functions so planners can see the whole picture at once.
The platform also pulls in external signals: weather forecasts, market news, geopolitical alerts. When the Strait of Hormuz conflict escalated, Kinaxis CEO Razat Gaurav says customers immediately ramped up scenario modelling, running simulations more than 120% above pre-conflict levels to test their options.
How does the AI part work?
Maestro uses several types of AI layered on top of each other, each handling a different kind of task.
At the base sits a data layer that assembles a near-real-time picture of the supply chain from internal records and outside sources. Above that, predictive AI, the kind of technology that finds patterns in large data sets to forecast what happens next, spots demand shifts and flags risks before they arrive.
Then come the agents. An AI agent is software that can carry out a sequence of tasks on its own, without a human clicking through each step. Kinaxis uses specialised agents for specific jobs: a detector agent watches for problems and triggers alerts, while a resolver agent evaluates options and generates recommended fixes. A supervising agent coordinates the two. Human planners review every recommendation and make the final call.
Demand forecasting, the ability to predict what customers will want and when, sits at the heart of the platform. Kinaxis senior vice president Chantal Bisson-Krol points out that each customer gets its own forecasting models, retrained regularly as conditions change. The models for an automaker and a consumer electronics firm share no common assumptions.
Who built this and why does it matter now?
Kinaxis started in Ottawa forty years ago as a small software firm. Its earlier product, RapidResponse, served manufacturers for decades before the company rebuilt around cloud computing and AI. Maestro, the cloud-native result, launched in 2024 and runs on Microsoft Azure, Microsoft's cloud computing service, first reported in detail by Microsoft AI.
The timing fits a broader shift. The COVID-19 pandemic cracked open assumptions about stable global supply chains. Geopolitical tensions and shifting trade tariffs have kept those chains under pressure ever since.
For ordinary consumers, smoother supply chain management means fewer empty shelves, shorter waits for back-ordered goods, and potentially lower costs when companies stop absorbing expensive last-minute shipping changes.
| Year | Event |
|---|---|
| 1984 | Kinaxis founded in Ottawa |
| Pre-2024 | RapidResponse platform serves manufacturers |
| 2024 | Maestro launched as cloud-native, AI-driven platform |
| 2025 | Strait of Hormuz conflict drives 120%-plus surge in scenario modelling |
What happens next?
Kinaxis is building connections that would let Maestro agents work alongside Microsoft Copilot, Microsoft's AI assistant for workplace software, so planners could ask supply chain questions in plain language and get answers without digging through dashboards.
The company is also using AI agents inside its own software development process, generating coding tasks and submitting them for engineer review, which frees developers for higher-level design work.
Supply chains are not getting simpler. If anything, the next decade promises more volatility, not less. Platforms that can absorb that turbulence in real time, and still keep a human in the loop for every critical decision, are likely to become standard infrastructure for any company that moves physical goods across borders.
