Abstract:
Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.
Abstract:
A method for displaying content displayed on one or more first devices on a second device is provided. The method includes receiving a request to display content currently displayed on a first device on a second device, the request including a gesture made on a screen of the first device, and pairing the first device to the second device. The method further includes transmitting instructions to the second device to display the content currently displayed on the first device, and transmitting the content currently displayed on the first device to the second device for display thereon.
Abstract:
In various example embodiments, systems and methods to provide proximity recommendations are provided. In example embodiments, data representing prioritized recommendations for a user is received. The data representing the prioritized recommendations is used to generated a composite visual representation by embedding select prioritized recommendations into a visual representation. The composite visual representation presents a higher prioritized recommendation in a more spatially prominent manner than a lower prioritized recommendation. The composite visual representation is then presented to the user.
Abstract:
Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.
Abstract:
Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.
Abstract:
Model placement metadata is defined and stored for a three-dimensional (“3D”) model. The model placement metadata specifies constraints on the presentation of the 3D model when rendered in a view of a real-world environment, such as a view of a real-world environment generated by wearable computing device like an augmented reality (“AR”) or virtual reality (“VR”) device. A wearable computing device can analyze the geometry of a real-world environment to determine a configuration for the 3D model that satisfies the constraints set forth by the model placement metadata when the 3D model is rendered in a view of the environment. Once the configuration for the 3D model has been computed, the wearable device can render the 3D model according to the displayed configuration and display the rendering in a view of the real-world environment.
Abstract:
A method for displaying content displayed on one or more first devices on a second device is provided. The method includes receiving a request to display content currently displayed on a first device on a second device, the request including a gesture made on a screen of the first device, and pairing the first device to the second device. The method further includes transmitting instructions to the second device to display the content currently displayed on the first device, and transmitting the content currently displayed on the first device to the second device for display thereon.
Abstract:
A method and a system convert the value of a gift card for use with a mobile device. The value of the gift card is determined from an issuer of the gift card. The value of the gift card is stored in a digital payment account in a storage device. The digital payment account stores values of gift cards from issuers. A financial transaction corresponding to the issuer of the gift card is performed on the digital payment account. The value of a first gift card from a first issuer of a first digital payment account is exchanged with the value of a second gift card from a second issuer of a second digital payment account.
Abstract:
Systems and methods for providing an enhanced user experience at an event or venue are provided. The systems and methods provided herein provide venue-specific location-based services to the user through the user's mobile device. Such services include allowing a user to order merchandise and concessions from their seat using their mobile device and delivering the ordered items to their seat. Such services also include determining a user's seat location from a scanned code on the user's ticket and providing a map to and from their seat.
Abstract:
An apparatus is provided including a processor, a memory, and a vehicle tracking portal. The vehicle tracking portal is configured to obtain vehicle identification information regarding a vehicle. Then diagnostic information regarding the vehicle can be obtained. Then, based on the vehicle identification and the diagnostic information, a recommended service for the vehicle can be determined. A user can then be alerted to the recommended service.