Event 1: Utilise automation, machine learning and prescriptive analytics in your supply chain planning

How can your supply chain planning models make it possible to calculate more accurate and feasible plans, and highlight where special attention is required?

Automation, machine learning and prescriptive analytics can be instrumental in creating world-class supply chain planning. But taking the first steps into this space can also be daunting.

At the first event in this series, we will explore the difference between white box and black box machine learning, as well as their respective applications, while also drawing on the rich experience of Paul Gibson from Arla, who will present real-life use cases, and Stephan Kreipl from SAP, who will share technical opportunity insights. Senior partner Thomas Holm will present Implement’s take on how to approach supply chain planning with machine learning and automation.