5 Pitfalls Using AI in Supply Chain Planning and How to Mitigate them

AI can certainly boost your supply chain management.
But how? And what risks are there to avoid?

This is the topic of todays episode, where er take a good look at five pitfalls using AI, and what you can do to mitigate the risks.

The pitfalls we’ll cover is: 

1. How to avoid the Black Box Pitfall?
2. How to succeed with limited resources?
3. How to strengthen the weakest link datalink?
4. How to prevent AI from learning the wrong things?
5. How to avoid AI conflicting with employee incentives

Tune in, and get the most out of your supply chain AI initiatives.

Today’s guest
Today, we are joined by Stephan Skovlund, founder of former Perito Consulting, and now partner in Perito IBP, Roima. 

Stephan has worked with supply chain optimization and control for the last 10-15 years, and have worked closely with AI in supply chain management long before the topic became hot with the introduction of ChatGPT in November 2022.

Your host is, as always, Søren Hammer Pedersen, CCO in Perito IBP, Roima.

Episode contents
00:09 – Introduction to the topic
01:36 – Assisting organizational readiness for AI adoption
06:40 – The critical role of data quality in AI implementation
10:59 – Pitfall 1: The black box and explainability
12:19 – Pitfall 2: Getting started with limited resources
14:28 – Pitfall 3: The data strength
17:20 – Pitfall 4: Preventing AI from learning the wrong things
18:26 – Pitfall 5: AI conflicting with employee incentives
23:38 – Conclusion and advice for beginning the AI journey


The podcast is brought to you by Roima.
This podcast is produced by Montanus.