Machine learning for sorting mail was my blind spot until a misroute in Akron
I spent years manually grouping flats and letters by zip prefix, convinced the old way was faster than any AI sorting tool. Then last Tuesday a pallet of parcels got routed to Akron instead of Columbus because I ignored the new scanner's suggestion for 3 days straight. Turns out the model had flagged a pattern in the barcodes I kept skipping, and now I feel dumb for resisting it. Has anyone else hit that moment where you realize the algorithm saw something you missed for months?
The scanner probably caught something about the label printer or the time of day those barcodes were made, stuff that never shows up on a route sheet. People resist the tool because it can't explain itself, and that's a fair complaint, but the fix is asking it to show you the reason instead of just trusting or ignoring it. Once you see which detail it's keying on, the whole thing stops feeling like a black box.