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Demand Forecasting in an Era of Disruption: What Actually Works

Published

3 October 2026

Topic

opportunities

◆ Sectors

Data & AnalyticsSupply Chain

◆ Source

Read at sdcexec.com →

◆ Verified

Fusion42 · 3 October 2026 · Fusion42 review

Traditional demand forecasting methods fail in volatile environments due to reliance on historical data, leading to costly errors. Companies succeeding amid disruptions leverage scenario planning, shorter planning cycles, machine learning for pattern recognition, and demand sensing for real-time adjustments.

This Wire brief sits within Fusion42's coverage of Data & Analytics and Supply Chain.

◆ ◆ The Wire takeaway

Your monthly demand plans just became outdated before sign-off. You need to switch to weekly planning cycles and scenario playbooks to keep ahead of disruption and turn uncertainty into an operational advantage.

◆ Coverage

1 source · 3 Oct 2026

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◆ Topics

Data & AnalyticsSupply Chaindemand-forecastingsupply-chainmachine-learningscenario-planningdemand-sensingplanning-cycles