Most people have spent the last few years interacting with AI through a chat window, a recommendation feed, or a search bar. That’s digital AI: software working on software. It processes language, images, and data, but it rarely interacts with the physical world.
In his latest article for Food Logistics, Fizyr CEO Ken Fleming takes readers through the latest examples of warehouse automation, key forces driving adoption, and why these technologies are finally delivering on their long-promised potential:
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AI advances, labor shortages, and other drivers necessitate new ROI calculations. Robotic automation has seen significant adoption across various industries recently, driven by advancements in computer vision and artificial intelligence, persistent labor shortages, corporate mandates, and other factors. Fizyr’s new white paper – authored by Chief Commercial Officer Tibor van Melsem Kocsis – highlights the limitations of traditional ROI calculations in capturing the full value of these technologies and proposes an updated ROI model that includes output projections that address not only financial returns but also factors like worker safety; environmental, social and governance (ESG) impacts; supply chain resilience; and risk mitigation.
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