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I recently came across a case study about how a major retailer, let's call them "MegaMart," used a system called TrendTapestry to optimize their inventory management. the core of it seemed to be about better predicting demand based on real-time data and external factors. Apparently, they saw a important reduction in both overstocking and stockouts, which is a pretty big deal for a company that size.What I found most interesting was the claim that TrendTapestry considered not just past sales data, but also things like social media trends and even weather forecasts in different regions.This made me wonder, how accurate can these predictive models really be, especially when trying to account for fleeting trends or unexpected events? Has anyone here seen similar systems implemented in the retail space, and what were your experiences with regards to their actual effectiveness? Did they really deliver on the promise of reduced waste and improved efficiency, or were there hidden costs or limitations?