Virtual event

Smart supply chain automation

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.



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: Supply Planning deep-dive and practical use cases​​

by Jan Lorenzen​ and Thore Mejlholm, Implement Consulting Group

Wrap up

  • This event will stream via the TwentyThree platform
  • Grab a pair of headphones to avoid echo, and check that your audio/microphone is working
  • Join us online via the link you’ll receive after signing up

Practical information


The event is hosted online.

A link will be sent before the webinar starts.

30 September 2021
9:00 AM - 11:30 AM
Mathias Maegaard Mikalsen

The event is free of charge.