Amassing large amounts of data is in the very nature of most tech companies. However, in companies which don't have a dedicated ML focus, there is often relatively little effort put into thoroughly analysing this data and finding uses for it. In fact, there exists a misconception that ML is ""irrelevant"" to certain problems, and thus spending time on ML data analysis is a waste. The real waste, as Anisha and I discovered, lies in ignoring this data. Through using our large body of historical data and implementing a simple random forest regression, we were able to discover a method of routing Lob mailpieces which, as time will tell, could have a significant impact on our mail delivery timings. Other talks at this conference 🚀🪐 https://www.conf42.com/ml2022 — 0:00 Intro 0:22 Talk