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公开(公告)号：US20240311756A1
公开(公告)日：2024-09-19
申请号：US18671414
申请日：2024-05-22
Applicant: eBay Inc.
Inventor： Ashok Balasubramanian , Harish Kumar Krishnasamy , Dineshbabu Bhoopalan , SureshKumar Karuppuchamy , Syed Musthafa Sikkander , Ravneet Kaur , Charles Douglas Watkins , Balasubramanian Jayamani
IPC: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0601
CPC classification number: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0621 , G06Q30/0639
Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
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公开(公告)号：US20230010509A1
公开(公告)日：2023-01-12
申请号：US17368127
申请日：2021-07-06
Applicant: eBay Inc.
Inventor： Ashok Balasubramanian , Harish Kumar Krishnasamy , Dineshbabu Bhoopalan , SureshKumar Karuppuchamy , Syed Musthafa Sikkander , Ravneet Kaur , Charles Douglas Watkins , Balasubramanian Jayamani
Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
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公开(公告)号：US12033114B2
公开(公告)日：2024-07-09
申请号：US17368127
申请日：2021-07-06
Applicant: eBay Inc.
Inventor： Ashok Balasubramanian , Harish Kumar Krishnasamy , Dineshbabu Bhoopalan , Sureshkumar Karuppuchamy , Syed Musthafa Sikkander , Ravneet Kaur , Charles Douglas Watkins , Balasubramanian Jayamani
IPC: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0601
CPC classification number: G06Q10/087 , G06F18/214 , G06N20/00 , G06Q30/0621 , G06Q30/0639
Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.
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