AI in a warehouse generates value through various sub-technology, including machine learning, natural language processing, robotics, and computer vision. Here's how each one works.
Machine learning employs algorithms to "learn from experience" and make practical warehouse decisions. It detects sensor data patterns and recommends faster replenishment of nearly out-of-stock items, shorter walking routes, and better inventory positioning.
Some AI features make warehouse wearable technology possible. The above video is a great example of how AI could simplfy things in the warehouse and mage is way more efficient in the coming days.