Miro and Fortience Consulting Advance Supply Chain AI

Miro and Fortience Consulting have introduced SCM Decision Canvas, a new solution that aims to improve the quality and speed of supply chain decision-making. Launching in July 2026, this platform is kinda made for S&OP and supply demand planning meeting type sessions, so orgs can step past the usual ‘hey here’s the status’ updates and kinda get to the actual decisions that matter.

The approach blends Miro’s visual collaboration space with AI, to support pretty much each phase of the decision-making process. Before the meeting, the AI sort of sifts through sales, production and procurement figures, to surface concerns risks and opportunities that then gives everybody a common view of what might be discussed. During meetings, teams work together on the same shared canvas, while AI helps to organize the talk, compare alternative routes, and highlight tradeoffs, though it does not take over human judgment, or really steer it in that way. After meetings, it records what got decided, along with the working assumptions and why those assumptions made sense, turning it into a reusable knowledge base for later planning cycles.

The launch comes in, as supply chains become harder to steer because demand swings are way more volatile and geopolitical uncertainty keeps showing up. A lot of companies still burn too much time with this explaining of the data, in planning meetings, and in the meantime the real logic behind key decisions is not always written down. That makes it difficult to build alignment and respond quickly when conditions change.

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Miro and Fortience started working together in May 2026, so they could mix AI help with human know how in supply chain management. The idea is pretty simple, they keep the AI task as organizing things like, the information itself, spotting risks and turning chaos into a kind of discussion structure while the final decisions stay with people.

And instead of just having each meeting be some isolated moment, they’re building this continuous loop, like preparation then collaboration then capturing what was learned. The new solution is meant to help organizations improve their decisions over time, not just one time, then move on.