The S2G Podcast podcast

How to Build Intelligent, Flexible Manufacturing with Sojo

12/03/2026
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40:10
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We are at an inflection point in manufacturing where artificial intelligence, robotics, and data are converging to fundamentally change what's possible in the physical world. In this episode, Barak Bar-Cohen, founder and CEO of Sojo Industries, joins Chuck Templeton to explore what that transformation actually looks like on the ground, using one of the most deceptively complex problems in consumer goods: the variety pack. What starts as a story about putting different flavors into one box quickly opens up into a much bigger conversation about why traditional manufacturing is so difficult to innovate in, and how mobility, automation, and AI can finally change that. Together, they dig into what it really means to layer AI throughout a physical business, capturing everything from machine error codes to engineering conversations, and let the whole operation learn from itself and rapidly improve. It's a conversation that will change the way you think about the snack aisle and the future of physical AI.

Chapters: 

2:29 — The Variety Pack Problem

9:20 — The Door to Floor Model

11:38 — Business Model Breakdown

15:20 — Sojo Shield and Traceability

19:01 — Layering AI Into the Organization

28:10 — The AI Culture Shift

34:17 — Sojo and Sustainability

26:47 — Sojo’s Futurę Vision


This content is for informational purposes only, should not be taken as legal, business, tax or investment advice, or be used to evaluate any investment or security, and is not directed at any investor or potential investor in any investment vehicle sponsored by S2G. Investing involves risk, including the risk of loss. Specific companies mentioned in this podcast are for educational purposes and should not be construed as an endorsement of any kind. S2G holds positions in the companies referenced, but this podcast is for information purposes only and is not intended to promote any such company. All views of the guests on this podcast are solely their opinions and do not reflect the opinions of S2G. Any past performance discussed is not indicative of future results. The views expressed herein are opinions based on certain assumptions and subject to change.

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