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For decades, supply chain decisions have been made on experience and intuition. Warehouse managers knew their operations. They could look at a pallet and estimate how long it would take to move. They sensed when demand was about to spike. They had a feel for which suppliers were reliable. And for a long time, that worked. But supply chains have gotten more complex. SKU counts have exploded. Customer expectations have accelerated. Margins have tightened. And the cost of a wron

"AI-powered" has become one of the most overused phrases in enterprise software. Every vendor claims to use it, but few explain what it actually means for your operations. If you're evaluating supply chain optimization tools, or just trying to understand what modern solutions can do that traditional software can't, this post breaks down how AI is applied to supply chain problems, what makes it different, and what to look for beyond the buzzwords. Warehouse staff sorting and o

Every warehouse deals with challenges. Seasonal spikes, unexpected delays, and the occasional hiccup are part of the job. But how do you know when everyday friction has crossed the line into a systemic problem that's costing you real money? The tricky thing about operational inefficiency is that it often builds gradually. What starts as a small workaround becomes the way things are done. Before long, you're leaving significant time and money on the table, without even realizi