Invention Grant
- Patent Title: Estimating shipping costs with machine learning
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Application No.: US16878020Application Date: 2020-05-19
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Publication No.: US11544661B2Publication Date: 2023-01-03
- Inventor: Mohammad-Mahdi Mozzami , Lawrie Crate , Masanori Uehara , Eric Turner , Robin Clark , Yu Ishikawa , Chiaki Osaka
- Applicant: Mercari, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: Mercari, Inc.
- Current Assignee: Mercari, Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Sterne, Kessler, Goldstein & Fox P.L.L.C.
- Main IPC: G06Q10/08
- IPC: G06Q10/08 ; G06N3/08 ; G06N3/04 ; G06F16/9537 ; G06F9/54

Abstract:
Disclosed herein are system, method, and computer program product embodiments for estimating shipping costs of items purchased in an online market using machine learning techniques. By determining in real-time the dimensional weight of an item with reference to a machine learning model describing past transactions, a buyer and seller in the online market can finalize the transaction in real-time. The machine learning model further implements a bias within the machine learning algorithm towards heavier estimation to avoid undercharging the market participants for shipping costs. One embodiment involves using these cost-estimation techniques in the context of a local shipping feature, which allows buyers and sellers to schedule a same-day delivery by seamlessly involving a local carrier.
Public/Granted literature
- US20210319399A1 ESTIMATING SHIPPING COSTS WITH MACHINE LEARNING Public/Granted day:2021-10-14
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