DYNAMIC ROUTING OF QUEUED NETWORK-BASED COMMUNICATIONS USING REAL-TIME INFORMATION AND MACHINE LEARNING

摘要

Methods for dynamic routing of queued network-based communications using real-time information and machine learning are performed by systems and devices. Requests associated with fulfillments are received over a network from requestor systems, and the requests are queued in a data structure of a queue. Information that includes geolocation information from a user device of a user that is associated with the fulfillment, temporal information from the user device, or related request information associated with another request is then received over the network, and a fulfiller and a fulfillment time for the fulfillment are determined from the information. The request is provided from the queue to the fulfiller at the fulfillment time over the network.