S&OP MasterClass, Episode 14: Mitigating 5 AI pitfalls in supply chain planning

How to avoid pitfalls of using AI in supply chain
AI can certainly boost your supply chain management. But how? And what risks are there to avoid?
This is the topic of this episode, where we take a good look at five pitfalls of using AI and what you can do to mitigate the risks. The pitfalls we’ll cover are:
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
Listed below are essential timestamps from the podcast episode to make it easier for you to find the topics that interest you:
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.