Abstract:
A server system tracks purchases by a user of consumable items. Notifications of use of an appliance using a consumable item are received and an estimated amount of the consumable item is decremented in response to the notification. A consumption rate is determined based on the notifications and an expected runout date is calculated. Delivery of the consumable items is then invoked on or before the runout date. The appliance may include, for example, be a network-enabled washing machine that reports loads washed, a refrigerator that detects items removed therefrom, a coffee maker that reports cups of coffee prepared.
Abstract:
A system receives registrations of users specifying a geographic preference and product preferences for demonstrations. The system likewise receives notifications of available demonstrations from vendors. Relevant demonstrations are identified for each user. In response to detecting a demonstration meeting the user's geographic preference, a notification of the demonstration is transmitted to the user. Notifications may be sent in response to demonstrations within a threshold distance from a location specified by the user, upon the user entering a store near a scheduled time for a relevant demonstration. Notifications may be sent in response to detecting a relevant demonstration within a threshold time from a predicted shopping trip of the user.
Abstract:
Described in detail herein are systems and methods for network environment for a dynamic learning system for object matching and substitution using hand-held electronic devices. In exemplary embodiments, a hand-held electronic device may receive a request for physical objects of which a first physical object may be unavailable. The hand-held electronic device may transmit an identifier of the first physical object to a central computing system. The central computing system may query the database to retrieve data associated with the first physical object. The centrally computing system may attempt to match the first physical object to an available physical object based on dynamically learned matching behavior using the retrieved data. In response to matching data associated with one of the available physical objects to the data associated with the first physical object the central computing system may learn to replace the first physical object on the list with the one of the available physical objects based on dynamically learned matching behavior.
Abstract:
Described in detail herein are systems and methods for verification of a report of absence of a physical object from an assigned region. A mobile device may capture an image of a vacant region and transmit the image and GPS coordinates of the location of the vacant region to a video analysis module within a computing device. The video analysis module may perform video analytics on the image and verify the location of the vacant region. The video analysis module may verify the physical object is absent from the vacant region. In response to verification that the physical object is absent from the vacant region the video analysis module may trigger an event.
Abstract:
A dynamic awards and restrictive tender method and system are provided. The method includes receiving, at a processor of a sales device, a request for a purchase of an item. A purchase rule applicable to the purchase is determined. An update to the purchase rule is received. The request for the purchase is processed based upon the updated purchase rule. At the processor, a notification of a success or a rejection of the processed request for the purchase is provided to a requester initiating the request.
Abstract:
Described in detail herein are methods and systems for performing a physical object assessment. The system entails an automated system to receive, unpack and asses a physical object based on automated determined attributes. The system can determine an element based on the assessment and generate a webpage including the attributes of the physical object and the determined element.
Abstract:
Methodologies, systems, and computer-readable media are provided for generating routes for relocating delivery of objects. Public data relating to a user's current location, a current location of an object to be delivered, and the user's future travel plans is retrieved. Personal data is also retrieved, including customizable relocation preferences and future travel plans associated with the user. A relocation destination is computed for relocating delivery of the object to the user from a current delivery destination to the relocation destination based on the public data and the personal data associated with the user. A relocation time and a relocation route are also computed, based in part on the public data and the personal data associated with the user. A notification of the relocation destination and the relocation time is then transmitted to an electronic device associated with the user.
Abstract:
Described are systems, methods, and computer readable medium for drone dispatch and operation. Exemplary embodiments provide a group of drones, a server in communication with the drones, and a detachable basket coupled to a shopping cart including an optical machine-readable label that represents identifying data for the basket. The identifying data for the basket is received from a client device at a server. The basket is associated with a user profile corresponding to the client device. Information identifying a vehicle associated with the user profile is determined. A checkout message is received indicating that a user of the client device completed a purchase transaction and requested a drone for transporting the basket. In response to the checkout message, identifying data for the basket is transmitted to a selected drone in the group of drones, and instructions to carry the basket to the vehicle are also transmitted to the selected drone.
Abstract:
Exemplary embodiments relate to a drone system including a drone configured for navigation of an outdoor facility and equipped with an RFID reader, an optical code reader, and at least one of powertrain control module data receiver and an electronic control module data receiver. The system includes a computing system in communication with the drone.
Abstract:
Described in detail herein are systems and methods for verification of a report of absence of a physical object from an assigned region. A mobile device may capture an image of a vacant region and transmit the image and GPS coordinates of the location of the vacant region to a video analysis module within a computing device. The video analysis module may perform video analytics on the image and verify the location of the vacant region. The video analysis module may verify the physical object is absent from the vacant region. In response to verification that the physical object is absent from the vacant region the video analysis module may trigger an event.