Patents by Inventor John Alexander LAGERLING
John Alexander LAGERLING has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11816686Abstract: Disclosed herein are system, method, and computer program product embodiments for generating sellability and cancellability scores for selling objects on an electronic marketplace. An embodiment operates by receiving, from a mobile device, an image including an object for sale and determining information associated with the object for sale. Information associated with pre-identified objects is determined from information associated with pre-identified objects, where each of the pre-identified objects corresponds to the object for sale. A sellability score and/or a cancellability score is generated based at least in part on the information associated with the object for sale and the information associated with the pre-identified objects. The sellability score and the cancellability score are further provided to users.Type: GrantFiled: February 28, 2019Date of Patent: November 14, 2023Assignee: MERCARI, INC.Inventors: John Alexander Lagerling, Kai Chun Cheung, Byong Mok Oh, Dhruv Mehrotra, Jeffrey Kenichiro Hara
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Patent number: 11694218Abstract: Disclosed herein are embodiments for automated intelligent price guidance of listings for a for sale object (FSO) being offered by a seller. Some embodiments may operate by: receiving information relating to the FSO, including specifications for selling the FSO, wherein the specifications include an original offer price and a time window for selling the FSO; determining a category of the FSO; generating an optimal offer price for the FSO based on one or more of: (a) past listings of previously sold FSOs that have a same or similar category of the FSO; (b) the specifications, including the time window; (c) a category decay curve applicable to the category; and (d) seller flexibility curve of the seller; and through the use of a machine learning neural networking analysis suggesting the optimal offer price to the seller as an offer price for a listing corresponding to the FSO, wherein this price is evaluated over time and suggestions are made accordingly.Type: GrantFiled: June 25, 2020Date of Patent: July 4, 2023Assignee: MERCARI, INC.Inventors: Byong Mok Oh, Takuma Yamaguchi, Rishabh Kumar Shrivastava, Fritz Mikio Kuribayashi, John Alexander Lagerling, Minami Tanaka
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Patent number: 11651417Abstract: Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.Type: GrantFiled: June 14, 2022Date of Patent: May 16, 2023Assignee: MERCARI, INC.Inventors: Byong Mok Oh, Takuma Yamaguchi, Rishabh Kumar Shrivastava, Fritz Mikio Kuribayashi, John Alexander Lagerling, Minami Tanaka
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Publication number: 20220309562Abstract: Disclosed herein are embodiments for intelligent listing creation for a for sale object (FSO). Some embodiments operate by determining a numerical identifier corresponding to a category of the FSO. A binarization of the numerical identifier using hot encoding is performed and using a neural network regression model, an optimal offer price is generated based on a category of the FSO. Information about the FSO is provided to the neural network regression model that tokenizes the textual input, and a unique binary vector representing the category is provided instead of the numerical identifier to the neural network regression model. An optimal price, generated by the neural network regression model, based on the unique binary vector representing the category.Type: ApplicationFiled: June 14, 2022Publication date: September 29, 2022Inventors: BYONG MOK OH, Takuma YAMAGUCHI, Rishabh Kumar SHRIVASTAVA, Fritz Mikio KURIBAYASHI, John Alexander LAGERLING, Minami TANAKA
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Patent number: 11393013Abstract: Disclosed herein are embodiments for automatic, intelligent generation of listings for a for sale object (FSO) being offered by a seller. Some embodiments operate by: receiving information relating to the FSO, including specifications for selling the FSO and an election of an automatic listing option; determining a category of the FSO; generating an optimal offer price based on at least the category; and generating multiple listings for the FSO, wherein the multiple listings have varying titles, descriptions, pictures and offer prices.Type: GrantFiled: June 25, 2020Date of Patent: July 19, 2022Assignee: MERCARI, INC.Inventors: Byong Mok Oh, Takuma Yamaguchi, Rishabh Kumar Shrivastava, Mikio Fritz Kuribayashi, John Alexander Lagerling, Minami Tanaka
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Publication number: 20220067571Abstract: Disclosed herein are system, computer-program product (non-transitory computer-readable medium), and method embodiments for machine-learning prediction or suggestion based on object identification. A system including at least one processor may be configured to cross-reference an identifier of a selected object with a list of known unique identifiers. The selected object may be selected via received selection. The at least one processor may further retrieve a set of values associated with the identifier of the selected object, upon determining that the list of known unique identifiers includes the identifier of the selected object, and perform machine-learning to derive a predicted-value set based at least in part on the set of values associated with the identifier of the selected object and a category applicable to the selected object. The at least one processor may determine that the predicted-value set satisfies a predetermined confidence condition, and output at least part of the predicted-value set.Type: ApplicationFiled: August 31, 2020Publication date: March 3, 2022Inventors: John Alexander Lagerling, Byong Mok Oh, Fritz Mikio Kuribayashi, Takuma Yamaguchi, Rishabh Kumar Shrivastava, Takaya Ukai, Viswakumar Sukeesh Babu
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Publication number: 20210406937Abstract: Disclosed herein are embodiments for automated intelligent price guidance of listings for a for sale object (FSO) being offered by a seller. Some embodiments may operate by: receiving information relating to the FSO, including specifications for selling the FSO, wherein the specifications include an original offer price and a time window for selling the FSO; determining a category of the FSO; generating an optimal offer price for the FSO based on one or more of: (a) past listings of previously sold FSOs that have a same or similar category of the FSO; (b) the specifications, including the time window; (c) a category decay curve applicable to the category; and (d) seller flexibility curve of the seller; and through the use of a machine learning neural networking analysis suggesting the optimal offer price to the seller as an offer price for a listing corresponding to the FSO, wherein this price is evaluated over time and suggestions are made accordingly.Type: ApplicationFiled: June 25, 2020Publication date: December 30, 2021Inventors: Byong Mok OH, Takuma YAMAGUCHI, Rishabh Kumar SHRIVASTAVA, Fritz Mikio KURIBAYASHI, John Alexander LAGERLING, Minami TANAKA
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Publication number: 20210406988Abstract: Disclosed herein are embodiments for automatic, intelligent generation of listings for a for sale object (FSO) being offered by a seller. Some embodiments operate by: receiving information relating to the FSO, including specifications for selling the FSO and an election of an automatic listing option; determining a category of the FSO; generating an optimal offer price based on at least the category; and generating multiple listings for the FSO, wherein the multiple listings have varying titles, descriptions, pictures and offer prices.Type: ApplicationFiled: June 25, 2020Publication date: December 30, 2021Inventors: Byong Mok OH, Takuma YAMAGUCHI, Rishabh Kumar SHRIVASTAVA, Mikio Fritz KURIBAYASHI, John Alexander LAGERLING, Minami TANAKA
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Publication number: 20200104866Abstract: Disclosed herein are system, method, and computer program product embodiments for generating sellability and cancellability scores for selling objects on an electronic marketplace. An embodiment operates by receiving, from a mobile device, an image including an object for sale and determining information associated with the object for sale. Information associated with pre-identified objects is determined from information associated with pre-identified objects, where each of the pre-identified objects corresponds to the object for sale. A sellability score and/or a cancellability score is generated based at least in part on the information associated with the object for sale and the information associated with the pre-identified objects. The sellability score and the cancellability score are further provided to users.Type: ApplicationFiled: February 28, 2019Publication date: April 2, 2020Applicant: Mercari, Inc.Inventors: John Alexander LAGERLING, Kai Chun Cheung, Byong Mok Oh, Dhruv Mehrotra, Jeffrey Kenichiro Hara