The AT&S Demand Forecasting project employed big data techniques to address two use cases: forecasting the evolution of demand in the smartphone market and issuing early warnings of possible large shifts in demand.
Market disruptions and innovation strongly impact its stakeholders on a shortto mid-term perspective. In the particular case of the smartphone market, where new products are released in very short cycles, it becomes imperative to forecast and identify heavy shifts in market demand as soon as possible. We employ a big data approach to forecast market demand and to issue early warnings on market-changing events in the smartphone business. Globalization and rapid technological development are becoming increasingly important challenges for industrial enterprises. In particular, they need to adjust planning and production to preempt changes in complex and volatile markets. To that end, it is crucial to monitor and identify market changes, which potentially impact market demand. For example, consider the case of famous manufacturers of cell phones from 10 years ago.
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