Nobody planned for the Stanley tumbler to take off the way it did. The Birkenstock Boston clog and the Dyson Airwrap were no different. Each crossed a threshold that no demand planner predicted, and the supply chains behind them, built for steady forecastable volume, were not ready.
Retailers and brands know this story well. A celebrity posts a video of your product on TikTok that gets tens of millions of views overnight, and suddenly you're either scrambling to catch up to demand or, worse, you lose out on sales because you don’t have the stock to capture the viral moment before people move on to the next shiny thing.
And though viral demand is unpredictable, the speed and quality of your response should not be. That's what an end-to-end supply chain platform is built for.
The problem isn’t the spike itself
Demand volatility has always existed. What’s changed is the speed of onset and the asymmetry of the stakes. A viral product moment can generate months of demand in days, then dissipate just as fast. If your supply chain takes weeks to pivot, you have almost no margin to work with.
Most retail supply chains weren't designed for this environment. They're built around long planning cycles, category-level forecasting, and siloed teams working from different data sources. And when a product starts moving faster than expected, basic questions about inventory positions, supplier capacity, and allocation priorities suddenly need answers that disconnected systems with stale data can't provide fast enough.
