Intelligent Forecasting and Agile Scenario Planning in Supply Chain
Explains how expanded datasets, multi-method forecasting, and connected planning improve forecast accuracy and scenario agility for finance and operations teams.
This white paper outlines requirements for forecasting and planning after major disruption. It covers decision timescales, granular forecasts, scenario planning, and finance transformation. The document presents a complete solution approach using expanded internal and external datasets, discovery insights, forecasting methods, forecast analysis, and connected planning across corporate FP&A, sales, demand, and workforce functions.
Shift from quarterly static forecasts to weekly or daily agile planning cycles
Replace single-point forecasts with multiple diverse and edge-case scenarios
Use granular forecasts by product, location, customer, and supplier for visibility
Incorporate real-time internal data plus external economic and consumer signals
Combine statistical, AI/ML, driver-based, and expert methods with automated selection
Market overview
Vendor landscape
Leaders
Implementation considerations
Want deeper analysis on vendors?
Related research
Research
Vendors
Company