UnisonIQ brings AI agents, Unison Companion and AI engines together inside Unison Planning™. They work on a digital twin of your supply chain, so every recommendation is feasible, explained and ready to act on.

Supply chain AI spending is rising. Returns are not. Most AI initiatives still stop at the pilot, and boards want to know what has actually changed.
The reason is rarely the technology. An agent that does not understand shelf life, co-products or shared capacity gives answers that sound right and fail in execution, so someone has to catch them. And planners don't use an agent they don't trust.
Nobody has scaled AI in supply chain planning yet. The advantage goes to whoever gets it working in daily planning first, with planners using it and trusting what it tells them.
Source: McKinsey, "The state of AI in 2026: On the road to ROI", August 2026
You set the thresholds: what an agent may prepare, what it may execute, and what escalates to a planner.
Rules sit above every agent and can't be bypassed.
Capability opens use case by use case as confidence grows.
Generic AI tools don't know your business and industry context. UnisonIQ understands the semantics of how you plan.
Shelf life, co-products, variable yields and shared capacity built in. The same model your planners already work in.
Optimization engines check every recommendation before it reaches a planner.
Instead of estimating safety stock, an agent finds it in your digital twin and computes it with the logic already in Unison Planning™.
UnisonIQ runs on the digital twin you already have, with no new implementation. Start with one use case and extend as trust grows.
Connects to your broader enterprise systems through standard AI protocols.
We'll tell you when a use case would cost more than it returns.
The UnisonIQ snapshot sets out the three capabilities and how customers get started.
Get the UnisonIQ snapshotTalk to us about where an agent would pay back in your planning, and where it wouldn't.
Discuss your first use case