Technology has always been a part of manufacturing and distribution. From the first mechanization to steam-powered machinery, computers and now the Internet of Things (IoT), each new iteration has reshaped how work gets done. Today, artificial intelligence (AI) is the next big shift.
Written by the consultants who run these selections, not by a software vendor.
[ From the guide ]
Technology has always been a part of manufacturing and distribution. From the first mechanization to steam-powered machinery, computers and now the Internet of Things (IoT), each new iteration has reshaped how work gets done. Today, artificial intelligence (AI) is the next big shift. But unlike the advancements of the previous stages, AI can shape decision making, planning, logistics and even how employees think about their roles.
For today's leaders, the question now isn't whether AI will impact manufacturing and distribution. It's clear that horse has left the stable. The real question is how to prepare teams to thrive alongside it. That goes beyond implementing new software or upgrading equipment. It's about upskilling employees, addressing resistance, and helping people see the potential in AI to make their jobs easier.
The future is happening right now, across factory floors, warehouses, and supply chains. But successful AI initiatives depend on more than just technology. According to a recent study from NAM (National Association of Manufacturers) "82% [of manufacturers] cite a lack of AI-ready skills as the top workforce challenge."1 Companies that invest in their workforce along with AI tools will gain a lasting advantage. Those that don't risk stalled adoption, low morale and lower returns on their AI investments.