On The Move Podcast Series By Jarrett S Tilton, Director Global Marketing, Honeywell If there’s one trend that will be hot in 2022, it’s a growing need for automated solutions in the logistics industry. There are several reasons why: labor challenges, unprecedented e-commerce demand, plus significant advances in the technologies that drive robotic solutions. Distribution…

How autonomous mobile robots are driving warehouse productivity.

How Automation is Tackling One of the Toughest Distribution Center (DC) Jobs By Eric Harty, VP Robotic Solutions Offering, Honeywell Robotics The number and variety of products available to e-commerce consumers have expanded dramatically. With this change comes an increasing number of goods received by retailers and e-commerce operations in an ever-expanding variety of pallet…

As retailers continue to adopt and roll out omni-channel distribution models, new logistical challenges arise, along with industrial automation technologies and techniques, including autonomous mobile robots, that can overcome them.

Interact Analysis’ Rueben Scriven reviews the grocery warehouse automation market in the context of Ocado, and discusses the likely impact of COVID-19 on the growth potential of the company and the sector overall.

LogisticsIQ expects the overall revenues from the Warehouse Automation Market to increase from US $13 billion in 2018 to reach US $27 billion by 2025, at a CAGR of 11.7% (2019 to 2025).

MODEX 2020 was affected by the COVID-19 pandemic, but exhibitors and attendees expressed optimism about the supply chain robotics market.

New technology center to focus on AI, machine learning, advanced robotics, and computer vision.

Autonomous vehicles, sensors, and virtual reality offered ways for distribution centers to optimize operations.

The demand for rapid and efficient e-commerce order fulfillment is leading distribution centers to turn to robots, but you should know the role of people, machine learning, and integration to be successful.

Data science is behind improvements in machine vision, gripping, and integration, which in turn allow robots to be smarter helpers in distribution centers.