Abstract: Introduced here is a computer-implemented virtual assistant used for completing tasks in an omnichannel environment. The virtual assistant is a common entry point for task completion at an electronic device in a network and can be operable based on a model trained on user activity and network activity. The virtual assistant can receive a request to perform a task associated the electronic device. The virtual assistant can facilitate performance of a first action via a first channel of the network in furtherance of completing the task. Upon detecting performance of the first action, the virtual assistant can present instructions to perform a second action via a second channel (different from the first channel) in furtherance of completing the task. The virtual assistant can detect performance of the second action and present an indication of the completion of the task at the electronic device.

Abstract: The disclosed system receives an indication to seek assistance from a second UE, including a unique identifier of the second UE. The system generates a shared digital location configured to present an output of the computer program and a first avatar indicating a cursor location and an input provided by the first UE. The system generates a unique identifier of the shared digital location. The system generates a message including the unique identifier associated with shared digital location and sends the message to the second UE. The system receives a selection of the unique identifier of shared digital location included in the message from the second UE. Upon receiving the selection, the system generates a second avatar representing indicating a cursor location associated with the second UE. The system provides the shared digital location, the first avatar, and the second avatar to the first and second UE.

Abstract: Introduced here is a computer-implemented system for determining current conditions of electronic devices. The system receives an indication from an electronic device that its user is seeking to trade-in the handheld wireless device. The system presents a user interface with a touch screen verification widget for determining operability of a touchscreen of the electronic device. The system receives an identification number and verifies that the electronic device is available for trade-in using the identification number. The system prompts upload of image data depicting the electronic device via a display mechanism. The system inputs the image data to a machine learned model that is trained to determine make, model, and physical condition of electronic devices. The system receives outputs from the machine learned model and determines the current condition of the electronic device based on the outputs, the operability, and the verification.