Devon Riddle

Demand can change in an instant. A flash promotion takes off faster than expected. An influencer post sends a niche SKU into the stratosphere. A heat wave flips seasonal demand on its head. And suddenly, your forecast—carefully crafted weeks ago—feels like yesterday’s weather report. This is where demand signal management earns its keep. Instead of reacting too late or overreacting too early, it helps supply chain teams interpret what’s really happening and respond with confidence. For retailers and consumer brands navigating constant demand volatility, it’s the difference between chasing noise and acting on insight.   The problem: demand forecasts lag reality Traditional forecasting has a fundamental challenge: timing. Forecasts are built on historical patterns and planning cadences that move at a measured pace, but demand levels today won’t wait for the next planning cycle. Modern demand shocks often arrive without warning: a promotional discount goes viral, a competitor runs out of stock, weather drives sudden regional swings, or a trend outpaces merchandising plans. In these moments, planners face a familiar tension. React too slowly, and shelves go empty. React too aggressively, and you’re stuck with excess inventory once the spike fades.   What demand signals are (and what they aren’t)…

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