The Supply Chain Agent supports supply chain planning workflows. It helps planners analyze changes, explain drivers, and compare corrective actions before they commit a change. Rather than replacing the planner's judgment, it acts as an analytical partner, surfacing what moved, why it moved, and what the options are, so decisions are made on evidence rather than intuition.
The agent works directly against your planning data, reading the same figures planners see on Screens. It can investigate a variance, trace it back to its root cause, quantify the exposure, and lay out the trade-offs between possible responses. This turns work that used to take hours of manual drill-down into a guided, conversational analysis.
This article covers:
What the Supply Chain Agent does
The Supply Chain Agent helps planners understand planning changes, identify risks and opportunities, and compare possible actions. It sits alongside the planner throughout the planning cycle, turning raw movements in the data into a clear, ordered picture of what happened and what to do about it. Instead of manually reconciling figures across screens and views, planners can ask a question in plain language and get a structured, evidence-backed answer grounded in their own data.
The Agent is built to follow the way planners actually reason — starting from what moved, narrowing to where it matters most, explaining why, and only then weighing the options. Each step builds on the last, so the analysis stays transparent and the planner can see how a conclusion was reached.
The Supply Chain Agent can help users:
Quantify what changed. The Agent measures the movement between plan, forecast, and actuals across the periods and scope in view, so planners start from precise numbers rather than an impression that something looks off..
Rank variances and risk signals by impact. Not every variance deserves attention. The Agent orders them by size and materiality, concentrating the planner's focus on the few movements that actually drive the result and filtering out the noise.
Connect each variance to its driver. Beyond flagging that a number moved, the Agent traces it back to its source, drilling from division to family to product where the evidence supports it so planners understand the underlying cause, not just the symptom.
Compare scenarios and trade-offs before a decision is made. When a corrective action is on the table, the Agent lays out the possible responses side by side, quantifying the exposure and trade-offs of each, so planners can pressure-test a change before they commit it.
Key capabilities
The Supply Chain Agent supports the following capabilities:
Capability | What the FP&A Agent does |
|---|---|
Analyze | Quantifies what changed and ranks variances and risk signals by impact. The Agent measures movements between plan, forecast, and actuals across the scope in view, then orders them by size and materiality — so planners begin from precise figures and focus on the few variances that actually drive the outcome rather than the many that don't. |
Explain | Connects each variance to its driver. Rather than stopping at "this number moved," the Agent traces the movement back to its source, drilling from division to family to product where the evidence supports it, so planners see the underlying cause instead of the surface symptom. |
Simulate | Compares scenarios and trade-offs before a decision is made. When a corrective action is under consideration, the Agent lays out the possible responses side by side and quantifies the exposure and trade-offs of each — letting planners pressure-test a change before they commit it. |
Together, these three capabilities take a planner from what changed through why it changed to what to do next, keeping every step transparent and grounded in the planner's own data.
Use cases
The Supply Chain Agent supports the following use cases:
Use case | What the FP&A Agent does |
|---|---|
Risk and opportunity | On the Demand Review Screen, the Agent ranks the largest gaps against budget by impact, so planners walk into the S&OP meeting knowing where the material exposure sits. It separates true signals from noise — filtering out the movements that look large but don't matter — and validates each one against macroeconomic data before the meeting, so the discussion starts from evidence rather than anecdote. |
Meeting insights | The Agent turns unstructured meeting minutes into ranked, recurring themes organized by country and cycle, surfacing the patterns that repeat across reviews rather than the one-off comments. Each signal remains traceable back to the specific note that raised it, so planners can see the source behind every theme and trust that nothing was invented or inflated. |
Constraint intelligence | On the RCCP (rough-cut capacity planning) Screen, the Agent detects capacity constraints, identifies the root cause behind each one, and simulates corrective actions with feasibility and cost shown side by side. This lets planners weigh the trade-offs of each option before sign-off — committing to a capacity plan they've pressure-tested rather than one they've assumed will hold. |