Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

Abstract: The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.