Product tour
How to build supply chain planning models in minutes with AI agents
Darcy Miller
Solutions Consultant
Pigment is a leading alternative for strategic planning
Anaplan
Pigment natively integrates with over 30 business applications (ERP, CRM, HRIS, BI solutions and more).
Native integrations are limited to fewer than 10 business applications using the Anaplan Data Orchestrator.
Pigment is a natively sparse engine and workspaces are not limited in capacity.
Standard Workspace size is limited, and additional products may be purchased to manage larger volumes of data up to a limit of 720GB.
Data is shared across business functions without needing to manage imports between models.
Data imports must be set up and maintained to copy data across multiple models.
Data updates happen automatically, without end users needing to trigger a data refresh for real-time planning and visibility of changes.
End users must refresh their pages to see the effect of data updates by other users while working in the same model.
Data inputs can be made by end users while imports and data recalculations are in progress.
End users are prevented from making changes to the model while data imports, exports and susbtantial recalculations are in progress.
See Pigment in action
Supply chain teams need planning models that adapt as fast as the business. Demand shifts, supplier disruptions, inventory imbalances, and capacity constraints all require models that adapt without slowing the business down..
Yet building and evolving supply chain planning models is still slow, complex, and dependent on scarce expertise.
Pigment’s Modeler Agent and Frames make that possible. Using intent-based modeling, teams describe what they want to model, and the Modeler Agent builds, extends, and explains supply chain planning applications in minutes.
Then, with Frames, teams can instantly turn live planning data into tailored, interactive interfaces designed for any decision or audience—all connected directly to the underlying Pigment model.
The result is dramatically faster time to value, modeling that is accessible to more teams, and supply chain models that stay agile and reliable as conditions change.
In this webinar, you’ll learn how to:
- Build supply chain planning models directly from intent with Agentic AI
- Use Frames to create tailored, interactive interfaces on top of live planning data—without disconnecting from the underlying model.
- Evolve demand, supply, inventory, and capacity assumptions as conditions change
- Understand how to get clear explanations of how your supply chain models work
