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.

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.

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.

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.

Abstract: In some embodiments, methods and systems of enabling consumers to purchase substitute products when the products ordered by the consumers are out of stock include processing an internet order for a product received from a consumer in a geographic location and in response to receiving an electronic notification indicating that the product ordered by the consumer is out of stock at a retail sales facility associated with the geographic location of the consumer, generating an electronic message including an indication that the product ordered by the consumer is out of stock at the retail sales facility, and including a selection option of at least one substitute product for the product ordered by the consumer. The methods and system further include transmitting the electronic message from the electronic inventory management device at the retail sales facility to an electronic computing device of the consumer.

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.

Abstract: A system and method for item replenishment comprise a subscription device that associates tags with items, a tag tracking device for collecting data on the tags associated with the items, and a management system that monitors changes in use of the items, including analyzing use patterns to determine when the items should be replenished, replaced, or upgraded.

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 assess 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: A budget-constrained, machine-learning system is described that creates a shopping (purchase) list and performs on-line ordering and delivery. It receives the shopper's past purchase receipts from a retail store, pharmacy and/or auto center. It may attach to a web server to acquire on-line browsing information. The system creates a Purchase List from acquired information. The system receives a budget and determines if all items on the Purchase List can be bought under the budget. If not, the items are given priority ratings. The system walks down the list to in decreasing priority rating order identifying items to purchase without exceeding the budget. The shopper may override the items identified to be purchased. Shopper override is monitored by a machine learning engine which adjusts the priority rating of the item or the period of replacement for the next shopping trip/session, allowing for more accurate results and flexibility.

Abstract: In some embodiments, methods and systems of enabling consumers to purchase substitute products when the products ordered by the consumers are out of stock include processing an internet order for a product received from a consumer in a geographic location and in response to receiving an electronic notification indicating that the product ordered by the consumer is out of stock at a retail sales facility associated with the geographic location of the consumer, generating an electronic message including an indication that the product ordered by the consumer is out of stock at the retail sales facility, and including a selection option of at least one substitute product for the product ordered by the consumer. The methods and system further include transmitting the electronic message from the electronic inventory management device at the retail sales facility to an electronic computing device of the consumer.

Abstract: A system receives an order from a user and evaluates a plurality of potential sources for items of an order as well as delivery options. Combinations of sources and delivery options are assigned a score according to factors such as cost, delivery time, and supply chain factors. A prior-used delivery option for the user is determined and the scores are adjusted to indicate higher desirability for combinations including the prior-used delivery option. A combination is selected and fulfillment of the order is invoked. The source and/or delivery option for an order may be adjusted after fulfillment has begun in response to user instructions or detected disruptions. A user may specify a preferred delivery option that will be used unless a combination not including the preferred delivery option meets a threshold condition. The system may analyze past orders of a user and identify lower cost delivery intervals and/or destinations.

Abstract: A delivery management system comprises a communication device that receives a notification of a communication established between an unmanned aerial vehicle (UAV) that delivers a payload and a delivery box constructed and arranged to receive the payload from the UAV when the UAV is a predetermined distance from the delivery box and moving in a direction toward the delivery box, the communication including an identity of the UAV; a verification device that processes the notification and validates the identity of the UAV; and an instruction generator that generates an instruction to the delivery box to open the delivery box in response to the verification device validating the identity of the UAV and a determination by the communication device that the communication is established between the UAV and the delivery box. The communication device includes an autolocker communication device that outputs the instruction to the delivery box.

Abstract: In some embodiments, methods and systems of enabling consumers to purchase substitute products when the products ordered by the consumers are out of stock include processing an internet order for a product received from a consumer in a geographic location and in response to receiving an electronic notification indicating that the product ordered by the consumer is out of stock at a retail sales facility associated with the geographic location of the consumer, generating an electronic message including an indication that the product ordered by the consumer is out of stock at the retail sales facility, and including a selection option of at least one substitute product for the product ordered by the consumer. The methods and system further include transmitting the electronic message from the electronic inventory management device at the retail sales facility to an electronic computing device of the consumer.

Abstract: In some embodiments, systems, apparatuses and methods are provided herein useful to delivery packages using unmanned delivery aircrafts. Some embodiments include product delivery systems, comprising: a transceiver; a control circuit; a memory coupled to the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to perform the steps of: receive, from a customer, an authorization to deliver a product by an unmanned delivery aircraft; receive, from a portable user interface unit associated with the customer, global location information of a current location of the user interface unit and that designates a delivery location where the customer would like the product delivered; and initiate a delivery, by an unmanned delivery aircraft, of the product to the delivery location defined by the global location information received from the user interface unit.

Abstract: An airborne drone training track includes both a ground track and a ceiling track. The ceiling track can be disposed above and be at least essentially aligned with the ground track. Airborne drone attachment tethers movably attach an airborne drone to each of these tracks. A lower airborne drone attachment tether movably attaches to the ground track and to a bottom portion of the airborne drone. A plurality of upper airborne drone attachment tethers movably attach to the ceiling track and to upper portions of the airborne drone. By one approach there is only one lower airborne drone attachment tether and four upper airborne drone attachment tethers.

Abstract: Systems, apparatuses, and methods are provided herein for stabilizing an unmanned aerial system. An apparatus for stabilizing an unmanned aerial system comprises a ring member and a pair of attachment members each having a first end and a second end, the first end being configured to attach to a multicopter and a second end being coupled to the ring member. Wherein the pair of attachment members holds the ring member such that a plane of a circumference of the ring member is generally parallel to blades of the multicopter.

Abstract: A control circuit dispatches towards a delivery zone a terrestrial vehicle that carries at least one airborne drone and at least one item to be delivered to a customer. When the terrestrial vehicle is in the delivery zone, the drone is dispatched to carry the item to the customer. By one approach the drone exits the terrestrial vehicle without bearing the item. The item can be automatically moved from within the terrestrial vehicle to a position such that the item is at least partially exposed external to the terrestrial vehicle. The airborne drone, subsequent to exiting the terrestrial vehicle, can engage the item in order to then deliver that item to the customer. By one approach the terrestrial vehicle includes one or more platforms that support one or more airborne drones and that can be moved from within the terrestrial vehicle to a deployed position external to the terrestrial vehicle.

Abstract: In some embodiments, systems, apparatuses and methods are provided to enhance customer service through the distribution of mobile sales vehicles comprising: an engine and a drivetrain; a point of sales system; product storage storing pre-selected products selected in response to an evaluation of location demographic information, and in response to an evaluation of population demographic information, wherein the pre-selected products comprise a sub-set of potential products available from a retail entity operating the sales vehicle; and a product distribution system coupled with the point of sales system and comprising a control circuit configured to authorize access by a customer to one or more products stored in the product storage and purchased by the customer.

Abstract: An airflow device for a head-mounted virtual reality headset and associated methods for controlling the airflow device to reduce motion sickness symptoms in a user is discussed.

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.