Abstract: Systems and methods for processing items in a queue, a system including one or more memory devices storing instructions and one or more processors configured to execute the instructions to perform operations including: analyzing training data to build a predictive model; applying the predictive model to items in a queue to determine scores of the items based on respective probabilities of an entity completing an action for each item; listing the items, sorted by the scores, in a first display view; identifying a first and a second item, respectively having highest and next highest scores; grouping, with each of the first and second items, items that satisfy a grouping condition based on characteristic information of the items; and listing the groups of items including the first and second items, sorted based on the scores of the first and second items, in a second display view.

Abstract: Systems and methods for processing items in a queue, a system including one or more memory devices storing instructions and one or more processors configured to execute the instructions to perform operations including: analyzing training data to build a predictive model; applying the predictive model to items in a queue to determine scores of the items based on respective probabilities of an entity completing an action for each item; listing the items, sorted by the scores, in a first display view; identifying a first and a second item, respectively having highest and next highest scores; grouping, with each of the first and second items, items that satisfy a grouping condition based on characteristic information of the items; and listing the groups of items including the first and second items, sorted based on the scores of the first and second items, in a second display view.

Abstract: Systems and methods for processing items in a queue, a system including one or more memory devices storing instructions and one or more processors configured to execute the instructions to perform operations including: analyzing training data to build a predictive model; applying the predictive model to items in a queue to determine scores of the items based on respective probabilities of an entity completing an action for each item; listing the items, sorted by the scores, in a first display view; identifying a first and a second item, respectively having highest and next highest scores; grouping, with each of the first and second items, items that satisfy a grouping condition based on characteristic information of the items; and listing the groups of items including the first and second items, sorted based on the scores of the first and second items, in a second display view.

Abstract: Systems and methods for processing items in a queue, a system including one or more memory devices storing instructions and one or more processors configured to execute the instructions to perform operations including: analyzing training data to build a predictive model; applying the predictive model to items in a queue to determine scores of the items based on respective probabilities of an entity completing an action for each item; listing the items, sorted by the scores, in a first display view; identifying a first and a second item, respectively having highest and next highest scores; grouping, with each of the first and second items, items that satisfy a grouping condition based on characteristic information of the items; and listing the groups of items including the first and second items, sorted based on the scores of the first and second items, in a second display view.