The term "AI-based forecasting" is particularly at home in the fields of artificial intelligence, big data, smart data and digital transformation. It describes the use of artificial intelligence (AI) to make predictions about future events, trends or developments.
Imagine AI-supported forecasts like a particularly clever weatherman who can predict the weather for the next few days more reliably than any human based on huge amounts of data. The AI analyses countless past and present data at lightning speed and recognises patterns that we might otherwise have missed. This not only makes it possible to better predict sales or demand, but also, for example, when machines in production should be serviced.
A practical example: an online shop uses AI-supported forecasts to determine which products will be in particularly high demand in the coming month. This enables it to order sufficient goods in good time and stay ahead of its competitors. AI-supported forecasts therefore help companies to make smarter decisions, save costs and react more quickly to changes.















