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Manufacturing and logistics leaders face a complex, shifting landscape. The relentless pace of e-commerce, persistent labor shortages, and rising consumer expectations demand a new approach to operational strategy.
Legendary ice hockey player Wayne Gretzky famously said, “You miss 100% of the shots you don’t take.” In the highly competitive footwear retail market, this translates to an absolute truth: you miss 100% of the sales you cannot fulfill.
Retail associates often face overwhelming app fatigue. Disjointed communication tools and isolated point solution applications cause unnecessary friction during their daily shifts.
A striking paradox is unfolding in boardrooms worldwide. Companies are investing heavily in AI, yet a recent Hoover Institution study found over 80% of them report no meaningful productivity impact.
The Wall Street Journal recently recognized Zebra Technologies as a global Top 10 company for AI Readiness. Earning a spot next to major tech innovators validates our strategic focus on AI for the frontline of business.
Across the transportation and logistics industry, AI continues its transformation from a future concept to a daily reality. In the back office, leaders successfully leverage AI and intelligent software solutions to refine demand forecasting and optimise asset visibility.
For years, a significant hurdle blocked the path toward truly intelligent, automated operations on the manufacturing floor. In environments prioritizing network integrity, particularly in automotive production, strict policies often ban Bluetooth® devices.
It’s a familiar pattern in technology: the differentiator of yesterday becomes the table stakes of today. For years, having an AI strategy was a competitive advantage; now, it’s an expectation.
The energy at our recent Channel Partner Summit in Orlando felt palpable. Everywhere you turned, conversations buzzed with the potential of AI.
AI commands headlines and captures imaginations, promising a future of unparalleled efficiency. Yet for executives leading operations in retail, manufacturing, and transportation, the practical application of AI often feels distant from the hype.
