The PredictHQ Blog
Product updates, use case guides, and our latest thoughts on grounding AI and forecasting.

Why Demand Forecasts Break without Real-World Context
We analyzed $7.2 trillion of global demand data and found that 60% of demand variability is caused by real-world context. Now if you aren’t a data scientist, variability is just the fluctuation in demand. And real-world context is a phrase that represents the aggregate of the events happening around each of your locations. So the takeaway is this, since most of the variance you're trying to predict originates outside your business, no amount of internal data will fix it.More











