Operating in an environment characterised by uncertainty poses challenges for companies. machine learning (ML) methods, with the inclusion of external factors, offer the possibility of producing long-term demand forecasts more precisely than conventional statistical forecasting methods. In this paper, the potential of ML with the inclusion of leading indicators (e. g. economic data) for the demand forecasts of one product of a chemical company is shown.