Smart supply chain automation
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.
Keynote: Intelligent Supply Chain Planning
by Stephan Kreipl, Chief Product Owner, SAP IBP
Session 1: Demand Planning Automation and Exception-based planning
by Paul Gibson, Demand manager, Arla
Session 2: Smart Automation and future supply chain planning trends
by Thomas Holm, Senior Partner, Implement Consulting Group
Session 3: Forecasting deep-dive and practical use cases
by Maria-Vittoria Onori and Nikolaj Vestergaard Nielsen, Implement Consulting Group
Session 4: Supply Planning deep-dive and practical use cases
by Jan Lorenzen and Thore Mejlholm, Implement Consulting Group
* = required field
The event is hosted online.
A link will be sent before the webinar starts.
The event is free of charge.
Join us for the event series!
Implement Consulting Group