You've been running inventory control in Excel for a while. You know the limits of the tool because you've felt them: manual updates, static reports, the sense that the data you're collecting could tell you so much more if only you had a better way to look at it. Your instinct to push toward Power BI is a smart one. It's not about abandoning spreadsheets; it's about evolving past them. And the fact that you're thinking about this on your own time says something about the kind of professional you are.
What you're describing, lead times, item quantities, time from warehouse to customer, is exactly the kind of data that Power BI was built to handle. Excel can store it, but Power BI can connect it. It can show you how a delay in receiving raw materials ripples across your fulfillment timeline. It can surface patterns in customer demand that you'd never catch in a column of numbers. For someone in inventory control, that shift from tracking to insight is transformative. You stop answering "what happened yesterday" and start asking "what's likely to happen next week."
When you pitch this to your boss, don't lead with the tool. Lead with the outcome. Explain that you want to reduce stockouts by identifying lead-time trends. Show that you can flag slow-moving items before they become write-offs. Frame it as a way to save the company money and time, not as a personal project. A manager who sees a direct line between your proposal and fewer emergency orders will be far more receptive than one who hears "I want to learn new software." Offer to build a prototype using a month of existing data. That lowers the risk and makes the value tangible.
The most practical step you can take right now is to start small. Pick one metric, lead time, for example, and build a single dashboard around it. Connect your Excel data to Power BI, create a visual that shows average lead time by supplier, and see how it changes over time. Once you've done that, you'll have something concrete to show your boss. You'll also have a clearer sense of what data you need to collect next. That's the real value of this approach: it turns your curiosity into a process, and that process becomes the foundation for strategic decisions your company hasn't been making.