Session Recording

Description

Type

On-Floor Seminars

Key Takeaways

Participants will leave this session with:

A clear understanding of the AI/ML technologies most relevant to warehouse automation today.
Examples of where AI already delivers measurable performance gains over traditional rule-based systems.
An outlook on emerging capabilities.

Whether you manage a single facility or a network of sites, learning-enabled systems are becoming an increasingly important part of intralogistics. By understanding how these technologies work, where they deliver value, and how they can be integrated into existing operations and planning processes, you will be better prepared to make informed, future-proof decisions as AI and ML capabilities continue to mature.

Audience

Intermediate

Speakers

Chris Huber

Chris Huber

Software Sales Manager - US & Canada at Interlake Mecalux

Matthias Winkenbach

Matthias Winkenbach

Director of Research, MIT Center for Transportation & Logistics at Massachusetts Institute of Technology

Product Categories

  • Artificial Intelligence/Machine Learning
  • Automated Storage/Retrieval Systems
  • Autonomous Mobile Robots