Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026
2026-09-24 · 11 min · 11 entities
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Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026
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Link in episode "Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026": https://podcorn.com/privacy
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Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026
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Link in episode "Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026": https://podcorn.com/privacy
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Link in episode "Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026": https://podcorn.com/privacy
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Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026
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Fruitist’s Jim Trahanas on Applying AI Across the Entire Value Chain | Groceryshop 2026
Episode description as stored
Live from the Vusion podcast studio at booth 913 at Groceryshop 2026 in Las Vegas, Ben Miller welcomes Jim Trahanas, Chief Technology Officer at Fruitist, to explore how a fruit company is using technology, data and AI across its entire value chain.
Jim breaks down what it actually means to apply AI and machine learning across the business, from the underlying data and technology foundations to the culture required to support innovation. He also discusses Fruitist’s recognition as one of Fast Company’s Most Innovative Companies of 2026 and what it takes to build a technically progressive organization.
In this episode:
• The scale and technology strategy behind Fruitist
• Why Fruitist was recognized among Fast Company’s Most Innovative Companies
• What applying AI and ML across the value chain actually means
• The data and technology foundations required to make it work
• How AI can extend beyond individual use cases
• Building and maintaining a technically progressive culture
🎧 Subscribe to Omni Talk for more conversations with the leaders shaping grocery and retail.
This podcast uses the following third-party services for analysis:
Podcorn - https://podcorn.com/privacy