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Even AI Needs a Second Set of Eyes: How Ephany Uses Agentic AI to Double-Check Data
Artificial intelligence might seem like magic, but even magic needs rules. One of the biggest misconceptions about AI is that it always gets things right. In reality, AI is only as useful as the data it works with. And when you’re managing complex asset catalogs across thousands of projects, bad data can snowball into real-world…
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The State of Physical Retail in the US (2022–2025): Big-Box and Grocery Chains
Despite the rise of e-commerce, physical retail in the U.S. is proving far more resilient than many expected — especially in the big-box and grocery sectors. Over the past three years, retailers like Walmart, Target, Costco, and Aldi have not only maintained but strategically expanded their physical footprints. While 2022 and 2023 saw more store…
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Common Issues with Retail FF&E and How to Mitigate Them – Part One
Building out physical retail stores is a high-stakes game—one where a single misstep can cost thousands (or even millions). Have you ever had a store opening delayed because the wrong fixtures arrived? Or watched in horror as a brand-new display case was installed upside down? You’re not alone. Mistakes in procurement, installation, and project management…
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McDonaldization and Construction: How Owner-Furnished Items Unlock Scalability
McDonaldization describes how industries optimize for efficiency, predictability, uniformity, and control. This principle doesn’t just apply to burgers, it’s the secret sauce behind how companies like Walmart, Dollar General, and Wegmans scale their physical stores to thousands of locations worldwide.
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Decluttering Your Data: Why AI Alone Won’t Solve the Mess
Imagine your home is overflowing with clutter. You hire a professional organizer who tidies everything up—but without proper shelves and storage, the clean items just end up in a neat pile on the floor. That’s what happens when you rely solely on AI to clean up your asset data, especially when managing furniture, fixtures, and…