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065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives artwork
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065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives

Supply Chain Next by Supply Chain Next

Dec 18, 202300:56:51Business

In this insightful episode of "Supply Chain Next," host Richard Donaldson engages with Mike Robinson, a visionary in the retail and logistics sector. Mike shares his diverse career trajectory, starting from his early day...

About This Episode

065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives is an episode from Supply Chain Next by Supply Chain Next. In this insightful episode of "Supply Chain Next," host Richard Donaldson engages with Mike Robin...

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This episode belongs to Supply Chain Next.

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Episode Details

Published Dec 18, 2023, 00:56:51 long, audio available.

Questions About This Episode

What is 065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives about?

In this insightful episode of "Supply Chain Next," host Richard Donaldson engages with Mike Robinson, a visionary in the retail and logistics sector. Mike shares his diverse career trajectory, starting from his early days at Johnson & Johnson in Pennsylvania, moving through significant roles at Price Waterhouse, and finally delving into the world of supply chain and logistics. The episode delves into Mike's unique experiences, including his pivotal role in digital transformation at Macy's, where he led a tenfold revenue growth and established Macys.com as a leading digital retailer. His journey also includes impactful stints at Gap and his current influential position at The Eighth Notch (T8N), focusing on sustainable logistics solutions. Throughout the conversation, Mike emphasizes the importance of AI in retail, discussing how it enhances customer experiences and drives efficiency. The discussion also covers his approach to leadership, treating technologists with empathy to unlock innovation. As the episode progresses, Mike and Richard explore the challenges and opportunities in implementing technology across various industries, particularly focusing on AI's role in optimizing delivery schedules and the potential of circular economy practices in supply chain management. The episode concludes with Mike's insights on entrepreneurship, the value of experience in the startup ecosystem, and his vision for the future of retail and supply chain management. Mike Robinson - Industry Vertical Advisor, Retail and Consumer Goods; Head of Retail Operations, The Eighth Notch

Where can I listen to 065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives?

You can listen to 065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives online on Radio and Podcast. Open the player on this page to stream the available audio.

Which podcast is 065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives from?

065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives is an episode from Supply Chain Next by Supply Chain Next.

How long is this episode?

This episode is 00:56:51 long.

When was this episode published?

This episode was published on Dec 18, 2023.

Can I save 065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives for later?

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Are there related episodes from Supply Chain Next?

Yes. This page shows related episodes from Supply Chain Next when more episodes are available from the podcast feed.

Quick Answers About This Episode

Where can I listen to 065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives?

You can listen to 065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives on this page when the episode audio is available from the podcast feed.

Which podcast is this episode from?

065 - Mike Robinson - Navigating the Future of Retail with AI and Green Initiatives is from Supply Chain Next by Supply Chain Next.

What are the episode details?

Published Dec 18, 2023 and 00:56:51 long