Product tour
Maximizing profitability with agile S&OP in manufacturing
Darcy Miller
Solutions Consultant
.webp)
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 manufacturing landscape, rising costs, demand volatility, and material shortages make profitability harder to maintain. Traditional planning methods lack the flexibility to respond to rapid changes, leaving businesses exposed to inefficiencies and lost revenue.
Join our webinar to discover how Pigment’s agile S&OP approach helps manufacturers optimize profitability by integrating AI powered,real-time insights, dynamic modelling and scenario planning, and financial impact analysis into their decision-making processes.
In this 30 min webinar, you’ll lear how to:
- Perform profitability analysis to assess cost structures and margin impacts across different demand scenarios.
- Leverage real-time, AI powered S&OP insights to dynamically adjust supply and demand for optimal financial outcomes.
- Use scenario planning to evaluate trade-offs between supply chain constraints and revenue opportunities.
- Improve forecasting accuracy with advanced statistical models to align operations with financial goals.
Don’t miss this opportunity to gain a strategic edge in manufacturing profitability.
