AI is rapidly changing how packaging gets made, especially in high-mix, high-SKU environments.

In this session, Josh Gruenstein, CEO of Tutor Intelligence, explains how AI-driven robotics is making automation more flexible, adaptable, and accessible. Traditional robots have long been too rigid and costly for many operations. New AI approaches allow robots to learn on the job, reducing the need for custom engineering and making automation viable across a wider range of packaging lines.

A key focus is case packing and the impact of growing SKU complexity. AI-enabled robots can handle variation and short runs with far greater ease, raising important questions for packaging teams. If automation can keep up with constant change, how does that influence product variety, limited runs, and marketing strategies?

You'll learn:

• Why high-SKU environments are a turning point for automation
• How AI is changing the cost and flexibility of robotic systems
• What this means for packaging design and development
• Where warehouse automation and humanoid robotics are heading next

As physical constraints begin to ease, packaging creativity and engineering will evolve alongside them. Understanding how to work with intelligent automation will shape the next generation of packaging.

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Meet the speaker

Josh Gruenstein
Co-Founder and CEO, Tutor Intelligence

Josh's Boston-based robotics company is on a mission to put a robot in every factory and redefine the future of industrial work. He leads the company's commercial strategy and core technology development.

Before founding Tutor, he earned degrees in Electrical Engineering, Computer Science, and Artificial Intelligence from MIT, where he conducted research on robot learning at CSAIL. He co-founded the company in 2021 with Alon Kosowsky-Sachs and has since grown the team to 70+ employees, deploying AI-driven robotic systems across major manufacturing and logistics operations.

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