Smarter demand predictions for the discrete manufacturing industry

Machine-learning (ML) techniques have revolutionized the way companies predict demand. But this is not reserved for the consumer industry. B2B companies can similarly benefit from better predictive models that are able to leverage much more data, including external data. In this session, we will explore examples of industrial companies that are deploying ML forecasting, discuss the type of data that help provide a better prediction, and exchange best practices.

• What is ML forecasting?
• What additional data typically helps increase the forecast accuracy?
• Industry examples
• Where is it best used?
• Special use case: Predicting aftermarket demand