They're working on it. They've substantially increased their data collection on the vehicles and their delivery routes in the last decade. Their drivers union s

They're working on it. They've substantially increased their data collection on the vehicles and their delivery routes in the last decade. Their drivers union stipulates nobody will be fired solely because of sensor data, and that as the efficiency grows, the pay will grow proportionally. A driver delivers many more packages per day now than 10 years ago. I attended a presentation from Jack Levis at a supply chain conference. At first glance it seems like a traveling sales person problem, but it's much more than that. They have contracts to pickup and deliver at specific times for specific businesses. They have to optimize which packages are on which vehicles, the route, the volume available and numerous other considerations. The combinations get out of hand very fast, you can't do anything near brute forcing. Sometimes the path which will work best looks unintuitive. They have real time issues that come up (water main shuts a road down for 1 day, in under a minute that info is available to all delivery drivers). They have their own custom developed hardware for the scanning guns which are GPS and network enabled, they have a team of around 700 people working on their ORION project (largely optimization, many PhD's included). Couple resources on it: https://blogs.oracle.com/database/big-data-at-ups-interview-with-jack-levis https://blogs.oracle.com/database/big-data-at-ups-interview-... https://youtu.be/CsJRsToDI8w https://youtu.be/CsJRsToDI8w https://www.google.com/amp/s/www.wired.com/2013/06/ups-astronomical-math/amp https://www.google.com/amp/s/www.wired.com/2013/06/ups-astro...