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.
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