Abstract: When a customer places an order for a first item and a second item, delivery systems utilize an aerial vehicle to transport the first item from a first source of the first item to a second source of the second item. At the second source, the first item and the second item are transferred into a carrier vehicle and transported toward a destination of the order. Once the carrier vehicle arrives within a vicinity of the destination, an autonomous ground vehicle departs the carrier vehicle with the first item and the second item, and delivers the first item and the second item to the destination. The delivery systems effectively expand the capacity of sources of items, and simplify processes for delivering orders for items, by enabling items from multiple sources to be combined at a single source prior to delivery, and transported to a destination from the single source.

Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for an adjustable conveyer system. The adjustable system may include one or more conveyor systems, a support structure for a first end of the conveyor system, a support structure for the second end of the conveyor system, and a lift system. The lift system may be actuated to cause the first end of the conveyor system to raise to a height that is higher or lower than the second end of the conveyor system. The adjustable system may be used to distribute packages to containers of various heights and sizes. In one example, the lift system may include a crank shaft. In another example, the lift system may involve a pulley system.

Abstract: A curator captures input data corresponding to service tasks from an external source. Further, a browser extension collects intermediate service delivery data for the service tasks from the external source. Subsequently, a learner stores the input data and the intermediate service delivery data as training data. Then, a receiver receives a service request from a client. The service request is indicative of a service task to be performed and information associated with the service task. Further, an advisor processes the service request to generate an intermediate service response. Thereafter, the advisor determines a confidence level associated with the intermediate service response and ascertains whether the confidence level associated with service response is below pre-determined threshold level. If the confidence level is below a pre-determined threshold level, the advisor automatically generates a final service response corresponding to service request based on training data.

Abstract: A curator captures input data corresponding to service tasks from an external source. Further, a browser extension collects intermediate service delivery data for the service tasks from the external source. Subsequently, a learner stores the input data and the intermediate service delivery data as training data. Then, a receiver receives a service request from a client. The service request is indicative of a service task to be performed and information associated with the service task. Further, an advisor processes the service request to generate an intermediate service response. Thereafter, the advisor determines a confidence level associated with the intermediate service response and ascertains whether the confidence level associated with service response is below pre-determined threshold level. If the confidence level is below a pre-determined threshold level, the advisor automatically generates a final service response corresponding to service request based on training data.