Amazon credits AI-driven enhancements and mathematical optimizations for Locker growth

By | June 6, 2019

amazon logo image At a breakout session during Amazon’s re:MARS conference in Las Vegas, Samyukta Sethuraman, a senior research scientist at the Seattle company’s cross-disciplinary AI team, gave an update on Amazon Locker, Amazon’s self-service parcel delivery service. She said that Locker usage is growing at a steady clip and that machine learning has improved reliability.

For the uninitiated, Locker allows shoppers to select physical lockers located in shopping centers, business parks, gas stations, and convenience stores as their delivery address and to retrieve their orders at the location by entering a unique pickup code on the locker’s touch screen. Customers can choose among several delivery options (e.g., same-day, next-day, and 3-5 days), and packages stay in lockers for a maximum of six days.

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