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Visual Guide to Evolving Demand Planning Maturity

Outlines five stages of demand planning maturity and the capabilities required to progress from foundational forecasting to AI-driven, network-orchestrated planning.

Published
June 4, 2026
Read time
3 min read
Source

This visual guide maps the progression from spreadsheet-based demand planning through consensus forecasting, demand sensing, AI/ML automation, and full network orchestration. It identifies the statistical, collaborative, and automation capabilities needed at each stage and cites industry benchmarks showing most physical supply chains remain at Stage 3 or below.

Key takeaways

72% of companies with physical supply chains operate at Stage 3 or below in supply chain planning maturity

Foundational demand planning relies on spreadsheets or point solutions and limits collaboration and statistical forecasting

Consensus-based planning adds demand sensing, event incorporation, and early AI/ML use for predictive forecasts

Acceleration stage focuses on AI/ML automation, demand shaping, and end-to-end synchronization across the network

Single data model cloud platforms enable seamless movement across maturity levels without disrupting operations

Market overview

SCR methodology note

Vendor landscape

Leaders

Implementation considerations

Important consideration