With the application of advanced analytics, a primary goal is formulated: (Data) modelling of complex end-to-end planning scenarios in supply chain management, sales & operations planning and advanced planning & scheduling:
Advanced analytics helps to capture and process complex information and data structures during the planning run. With their support, a solid basis of decision-making can be issued and thus be prioritised on (pre)defined criteria in order to meet certain objectives. Thanks to their ability to act independently, it can relieve employees of routine tasks. Long-term data generated by artificial intelligence (AI) and machine learning (ML) can hence provide valuable criteria for strategic decisions.