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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
In today’s volatile market, traditional supply chain planning approaches won’t keep you competitive. But an agile approach promises efficiency, resilience, and adaptability to protect your revenue, control costs, and improve customer satisfaction.
Watch our webinar to learn how Pigment can help CPG businesses overcome unpredictable demand, disruptive events, and siloed data with real-time insights, connected, collaborative planning, and powerful forecasting tools.
In this 30 min webinar, you’ll learn how to:
- Utilize advanced statistical models for precise baseline demand forecasts.
- Create detailed demand plans, allocating forecasts down to individual customer levels.
- Respond to real-time S&OP insights with demand reallocations and assess their revenue impact.
- Use scenario planning to analyze trade-offs between supply chain constraints, forecast adjustments, and revenue.
- Conduct revenue impact analysis to model and compare the financial outcomes of different demand scenarios.
