How AI Is Transforming Supply Chains, Leadership & Business Decisions with Blue Yonder's Chief Product Officer, Gurdip Singh
AI is rewriting the rules of global supply chains. The next competitive advantage would be how intelligently companies use AI to run their supply chains.
In this episode, I sit down with Gurdip Singh, Chief Product Officer at Blue Yonder, one of the world's leading AI-powered supply chain technology companies.
We explore how AI is reshaping global supply chains, how product leaders separate real innovation from hype, why enterprise AI succeeds or fails, and what the future of leadership looks like in an AI-driven world.
In this episode, we cover:
• Gurdip's journey to Chief Product Officer at Blue Yonder
• Why supply chain has become one of the world's most strategic business functions
• Real-world AI applications that are transforming supply chains today
• How to distinguish genuine AI innovation from marketing hype
• Why enterprise AI adoption is more about people than technology
• Building trust in AI-powered decision-making
• Lessons from startups vs enterprise product development
• Leadership lessons from nearly 30 years of building technology products
• Preparing AI systems for unpredictable global disruptions
• Predictions for the future of AI, supply chains, and global commerce
Whether you're a technology leader, product manager, founder, supply chain professional, or simply curious about the future of AI, this conversation offers practical insights from one of the industry's most experienced technology leaders.
🎙️ Hosted by Amlan Mohanty — Industry expert breaking down AI, business, and leadership through conversations with the people shaping the future.
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🎧 Listen now to stay ahead in the age of AI.
Chapters00:00 Intro03:26 Journey & turning points07:57 Supply Chain as Business Advantage11:11 AI in supply chain15:18 Real AI vs fancy marketing17:39 Using AI vs simpler methods20:31 Enterprise AI adoption24:30 Traditional execs trust AI26:20 Startup vs enterprise lessons31:00 Younger companies' advantage34:40 Lesson from a failed decision37:56 Black swan disruptions43:55 Bold prediction on AI50:35 Advice for early-career professionals52:45 Final thoughts