Rethinking Change Management in Supply Chains in the Age of AI
Association for Supply Chain Management
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Rethinking Change Management in Supply Chains in the Age of AI
192 просмотра · 2 месяца назад
Association for Supply Chain Management
6,92 тыс. подписчиков
192 просмотра · 2 месяца назад
Transformation is everywhere—but real results are rare.
In this episode of The Chain Podcast, we sit down with DeAnna Harner, Global Transformation Strategist of Supply Chain Operations, to explore why so many transformation initiatives fall short — and what it actually takes to make change stick.
Harner shares hard-earned insights from working with hundreds of organizations navigating AI adoption, digital transformation and ongoing disruption. From “Excel chaos” to disconnected data, she explains why technology alone isn’t the answer.
Together, we unpack:
-Why AI isn’t a “Band-Aid” for broken processes
-How to move beyond constant firefighting in supply chains
-Where organizations are seeing real value from AI today
-The critical role of culture, collaboration, and change management
-Why starting small—and getting the basics right—is the key to success
If you’re looking to turn bold transformation ambitions into measurable outcomes, this conversation will give you the practical mindset shift you need to get started.
Want more supply chain knowledge? Visit ASCM.org.
For more details on The Chain Podcast, visit ascm.org/podcast
TIME STAMPS
00:00 Intro & Episode Overview
01:38 Why Transformation Efforts Fail
02:43 AI Isn’t a Band-Aid
03:23 What Successful AI Adoption Looks Like
05:24 Foundational Challenges in Supply Chain
07:14 Breaking Out of Firefighting Mode
07:38 Why Excel Keeps You Stuck
10:42 Where AI Creates Real Value
11:31 Why Demand Planning Is the Best Place to Start
12:15 The Human Side of Change Management
12:33 Why People Struggle with Change
14:14 Escaping “Excel Chaos”
15:07 Generational Shifts in the Workforce
17:05 Empowering Human Potential
18:14 How the Supply Chain Role Is Evolving
20:22 How to Start Transformation
21:16 Start Small: Focus on One Problem
23:11 Turning AI Investment into ROI
24:17 The Training Gap in Transformation
25:25 Final Takeaway: Start Small
26:13 Closing Thoughts
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