Retail teams stick with Excel for planning because it's simple and gives them control, but Excel breaks down when you need item-level forecasting across huge datasets. That's where specialized tech and AI have to take over.
The first one, we all know Excel is challenging for planning. Why is it so difficult to persuade users to adopt a more efficient solution? Why is it so difficult? You know, if you know what you're doing in Excel, from a top-down planning perspective, it's a really, really good tool. Because then you don't have to depend on your tech person to, you know, change something on whatever tool you're working on, right? I mean, you can be independent and so on and so forth. But if you're talking allocation or forecasting at the item level where you are dealing with bazillion data, that's when you need your tech people, you need your AI, and you need your machine learning.
