Method and system for recommending items for a surface

    公开(公告)号:US11610247B2

    公开(公告)日:2023-03-21

    申请号:US16376018

    申请日:2019-04-05

    Applicant: Shopify Inc.

    Inventor: Daniel Beauchamp

    Abstract: Computer-implemented methods and systems including receiving at an e-commerce platform a surface data from a customer computing device, where the surface data is related to a physical surface with surface dimensions; selecting with a recommendation engine of the e-commerce platform at least two surface items to be positioned upon the physical surface, the selecting based at least in part on dimensional data of the at least two surface items, wherein at least one of the at least two surface items is a merchant product; determine a quantity of each of the at least two surface items based on the surface dimensions and the dimensional data of the at least two surface items; and communicating a recommendation comprising the quantity of the at least two surface items to the customer computing device.

    Methods and systems for generating a product packaging model

    公开(公告)号:US11481857B2

    公开(公告)日:2022-10-25

    申请号:US16724610

    申请日:2019-12-23

    Applicant: Shopify Inc.

    Abstract: Methods and systems for generating a product packaging model for a product offering of a set of product items associated with a merchant account. At an e-commerce platform, a trigger event is detected and, in response, two or more product items are automatically selected to form a kit that makes up the product offering. Model data for the two or more product items and packaging parameters are used to automatically select a packaging option and to build a product packaging model that is sent to the merchant account. The product packaging model may be a three-dimensional computer model of the kit containing the two or more product items.

    RECOMMENDING ITEMS FOR A SURFACE
    34.
    发明申请

    公开(公告)号:US20200320607A1

    公开(公告)日:2020-10-08

    申请号:US16376018

    申请日:2019-04-05

    Applicant: Shopify Inc.

    Inventor: Daniel Beauchamp

    Abstract: Computer-implemented methods and systems including receiving at an e-commerce platform a surface data from a customer computing device, where the surface data is related to a physical surface with surface dimensions; selecting with a recommendation engine of the e-commerce platform at least two surface items to be positioned upon the physical surface, the selecting based at least in part on dimensional data of the at least two surface items, wherein at least one of the at least two surface items is a merchant product; determine a quantity of each of the at least two surface items based on the surface dimensions and the dimensional data of the at least two surface items; and communicating a recommendation comprising the quantity of the at least two surface items to the customer computing device.

    Systems and methods for generating three-dimensional models corresponding to product bundles

    公开(公告)号:US12288249B2

    公开(公告)日:2025-04-29

    申请号:US17334930

    申请日:2021-05-31

    Applicant: SHOPIFY INC.

    Abstract: Generating and storing product media can be resource intensive processes. Some systems and methods disclosed herein relate to rapidly and/or automatically generating a three-dimensional (3D) composite model to help improve the generation of product media and/or to help reduce product media storage requirements. The 3D composite model may correspond to a product bundle. According to an embodiment, an indication of items associated with a product bundle is obtained. Pre-existing 3D models corresponding to the items are then obtained and used to generate a 3D composite model. The 3D composite model includes representations of the items and may be implemented to provide product media depicting the product bundle.

    Augmented reality enabled dynamic product presentation

    公开(公告)号:US11935202B2

    公开(公告)日:2024-03-19

    申请号:US17824828

    申请日:2022-05-25

    Applicant: Shopify Inc.

    CPC classification number: G06T19/006 G06F3/167 G06Q30/0643

    Abstract: Systems and methods described herein allow a customer to employ AR/VR software to generate virtual representations of physical spaces (e.g., house) and sub-spaces (e.g., living room) to preview virtual objects situated in AR/VR virtual environments. A commerce system (or mobile app associated with the commerce system) may generate virtualized environments representing a physical space (e.g., house, apartment) and regions (e.g., living room, kitchen) based on source images uploaded to or otherwise captured by the commerce system. The end-user may operate the software on a client device and interacts with VR or AR presentations of the virtual environment using a voice-based interface recognized by the software. For example, the end-user may say the name of room (region) or an object and the system retrieves data of the identified room or an appropriate room, such as virtual representations of furniture or objects situated in the room.

    COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR IN-STORE ROUTE RECOMMENDATIONS

    公开(公告)号:US20230214909A1

    公开(公告)日:2023-07-06

    申请号:US18184269

    申请日:2023-03-15

    Applicant: Shopify Inc.

    CPC classification number: G06Q30/0639 G06Q30/0281 G01C21/206

    Abstract: A merchant may operate a retail store that users are able to visit in person in order to view and purchase products. When a user visits the store, the user might not know where a desired product (“target product”) is located. Computer technology may help direct the user to the target product in real-time. In some embodiments, a model of passable areas and the location of products in the retail store may be determined, e.g. by a merchant device. In some embodiments, when the user visits the retail store, a computer generates a product recommendation, e.g. based on user-specific information, and a route in the retail store is determined for the user. In some embodiments, the route in the retail store may be determined using the model based on the target product, the user's location in the store, and one or more recommended products.

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