Abstract: Described in detail herein is an automated fulfillment system with automatic exception handling. A computing system can transmit instructions to an autonomous robot device to retrieve physical objects disposed in facility. An autonomous robot device can navigate to the location of the physical objects and pick up a first quantity of physical objects. The autonomous robot device can pick up the physical objects and can determine a set of attributes associated with the picked up physical objects. The autonomous robot device detect an error with the physical objects picked up by the autonomous robot device based on the set of attributes. The autonomous robot device can resolve the error with the physical objects that were picked up by the autonomous robot device. For example, autonomous robot device can discard the physical objects. The autonomous robot device can pick up replacement physical objects.

Abstract: Described in detail herein is an autonomous fulfillment system using RFID devices. One or more RFID readers can be disposed throughout a facility can detect RFID tags disposed on or about physical objects picked up by the autonomous robotic devices. The computing system can determine whether there is an error in the physical objects picked up by the autonomous robotic device based on the identifiers. The computing system can instruct the autonomous robotic device to resolve the error. RFID readers can be disposed with respect to storage containers can detect the RFID tags disposed on or about the storage containers and the RFID tags disposed on the physical objects deposited in the storage containers. The computing system determine whether there is an error with the physical objects deposited in the storage containers. The computing system can instruct the autonomous robotic devices to resolve the error.

Abstract: Described in detail herein is an autonomous fulfillment system. The system includes the first computing system, with an interactive display. The first computing system can transmit a request for physical objects from a facility. A second computing system can transmit instructions autonomous robot devices to retrieve the physical objects from the facility. The second computing system can control the image capturing device of the autonomous robot device to capture a live image feed of the at least one physical object picked up by the at least autonomous robot device. The second computing system can switch an input feed of the first computing system to display the live image feed on the display of the first computing system. The second computing system, instruct the autonomous device to discard the physical objects picked up by the at least one autonomous robot device and to pick up a replacement physical object.

Abstract: Described in detail herein is an automated fulfilment system including a computing system programmed to receive requests from disparate sources for physical objects disposed at one or more locations in a facility. The computing system can combine the requests, and group the physical objects in the requests based on object types or expected object locations. Autonomous robot devices can receive instructions from the computing system to retrieve a group of the physical objects and deposit the physical objects in storage containers.

Abstract: Exemplary embodiments relate to a system for monitoring items in a residence for replenishment. Multiple sensors are disposed in a residence and configured to sense characteristics of an item indicating at least a quality of the item. A computing device is configured to retrieve and analyze usage data for the item. The computing device determines that the item needs replenishment based at least in part on the sensed quality of the item and the usage data for the item. The computing device generates an alert at a user interface in response to determining that the item needs replenishment.

Abstract: An insulated bag roll system is described. The insulated bag roll system includes a plurality of insulated bags connected at perforated lines and rolled to form a roll of insulated bags. Each of the insulated bags may include a body including walls sealed to form an inner chamber that is configured and dimensioned to receive a physical object through an opening. The walls may be formed from an outer layer, an inner layer, and an insulated layer disposed between the outer and inner layers. Each of the insulated bags may include a flap extending from the body that is configured to fold over and cover the opening to maintain insulation of the inner chamber. Each of the insulated bags may include one or more transparent windows formed in the walls providing visibility into the inner chamber. The insulated bag roll system includes a dispensing mechanism configured to hold and dispense one or more insulated bags from the roll of insulated bags.

Abstract: A storage container with temperature control and associated methods is described. The storage container includes a housing with an insulated inner chamber configured and dimensioned to receive items. The storage container includes a temperature control system disposed within the insulated inner chamber of the housing and configured to regulate a temperature within the insulated inner chamber. The temperature control system includes a first reactive material, a second reactive material, a triggering mechanism, and a barrier preventing mixing of the first reactive material with the second reactive material. A triggering event automatically causes the triggering mechanism to alter or move the barrier to initiate mixing of the first reactive material with the second reactive material to produce a resulting reaction, the resulting reaction regulating the temperature within the insulated inner chamber.

Abstract: A monitoring system for items in a delivery vehicle is described. Sensors disposed in the delivery vehicle are configured to sense data indicative of a current quality of items stored in the delivery vehicle. A computing device calculates navigation routes for the items in the vehicle and selects among the delivery routes at least partly based on sensor data relating to the monitored quality of the items.

Abstract: Exemplary embodiments relate to an indoor drone system including an autonomous drone configured for autonomous navigation, and a computing system in communication with the autonomous drone. The autonomous drone includes an optical code reader and at least one navigational sensor. The computing system includes a verification module.

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: A multi-display system for management of a software development project having a graphical user interface including interactive user interface elements representing one or more tasks in the software project, first and second source code databases, first and second object code databases, a migration module configured to migrate source code from the first source code database to the second source code database and migrate object code from the first object code database to the second object code database in response to a user input to the graphical user interface, a first output module for executing the one or more blocks of object code and displaying an output of the executed object code stored in the first object code database, a second output module for executing the one or more blocks of object code and displaying an output of the executed object code stored in the second object code database.

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: 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: Systems and methods are provided for consolidating and transforming object-descriptive input data to distributed rendered location data. The systems and methods are configured to receive object-descriptive input data from a plurality of input devices, consolidate the object-descriptive input data and correlate it with a plurality of physical objects, determine first and second subsets of the plurality of physical objects based on a proximity of each of the physical objects to each of a plurality of user devices, construct user device-specific graphical maps each indicating a route to each object in a subset, and instruct each user device to display a graphical map constructed therefor.

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: A system identifies statistically significant variation in sales volume in response to occurrence of an event as well as attendant factors relating to the event. Past events of the same type are identified that fit into one or more categories. The sales data for these past events are aggregated and any statistically significant variation due to the one or more selection criteria can be identified. A forecasting model is then updated to include the one or more categories as factors impacting sales volume. Examples of events include planned events such as holidays and sporting events and unplanned events such as extreme weather or other natural disasters.

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: Methodologies, systems, and computer-readable media are provided for dynamic virtual data analysis. A first subset of performance metric data relating to a number of facilities is compared between at least two of the facilities to generate a first level comparison. A second subset of the performance metric data associated with two or more sections of at least one facility is compared to generate a second level comparison. A processor generates a graphical representation of the first level comparison and the second level comparison. A user electronic device can receive input from a user to dynamically navigate between a rendering of the graphical representation of the first level comparison and a rendering of the graphical representation of the second level comparison. The user can also modify the first subset of data or the second subset of data to update the first level comparison or the second level comparison.

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 tracking clusters of user devices within a facility. In exemplary embodiments, a plurality of network devices are distributed within a facility. The network devices may receive connection data indicating probing by at least one of a plurality of user devices within the facility. A processing unit may be coupled to the network devices and the processing unit may extract location data from the connection data received by the network devices. The location data may indicate the location of the user devices with respect in the facility. The processing unit may determine a projected path for the plurality of user devices based on the location data. The processing unit may generate a response based on then projected path of the plurality of user device.