Abstract: Systems and methods for real-time multi-order batching using multiple couriers. The method includes determining that a walker courier can pick up a walking portion of a first order request and a second order request. The method includes determining that the walker courier can pick up the second order items based on (i) a current location of a computing device associated with the first walker courier, (ii) estimated time of preparation for the second item associated with the second order request, and (iii) an estimated item of arrival for the vehicle courier to a merchant area associated with the first order request and the second order request. Based on progress of assigned vehicle couriers, the transition point for the walker courier to met the vehicle courier can be computed and transmitted to the respective computing devices.

Abstract: Systems and method for dynamically managing add-on orders within a delivery service application. For example, a computer-implemented method includes obtaining data indicative of a primary order request. The method includes selecting, ranking, and displaying menu items for add-on orders associated with a primary order. The method includes obtaining user data provided by a user through a user interface associated with a delivery service application. The method includes determining, in response to obtaining the user data, that the primary order request is eligible for an add-on order. The method includes determining merchants for the add-on order. The selected merchants can be determined from a plurality of candidate merchants based at least in part on analysis of merchant-specific data relative to the user data indicative of the primary order request. The method includes updating the user interface to display data associated with the one or more selected merchants for the add-on order.

Abstract: Systems and method for dynamically managing add-on orders within a delivery service application. For example, a computer-implemented method includes obtaining data indicative of a primary order request. The method includes selecting, ranking, and displaying menu items for add-on orders associated with a primary order. The method includes obtaining user data provided by a user through a user interface associated with a delivery service application. The method includes determining, in response to obtaining the user data, that the primary order request is eligible for an add-on order. The method includes determining merchants for the add-on order. The selected merchants can be determined from a plurality of candidate merchants based at least in part on analysis of merchant-specific data relative to the user data indicative of the primary order request. The method includes updating the user interface to display data associated with the one or more selected merchants for the add-on order.

Abstract: Systems and method for dynamically managing add-on orders within a delivery service application. For example, a computer-implemented method includes obtaining data indicative of a primary order request. The method includes selecting, ranking, and displaying menu items for add-on orders associated with a primary order. The method includes obtaining user data provided by a user through a user interface associated with a delivery service application. The method includes determining, in response to obtaining the user data, that the primary order request is eligible for an add-on order. The method includes determining merchants for the add-on order. The selected merchants can be determined from a plurality of candidate merchants based at least in part on analysis of merchant-specific data relative to the user data indicative of the primary order request. The method includes updating the user interface to display data associated with the one or more selected merchants for the add-on order.

Abstract: A computing system can integrate fleet vehicles of a fleet operator into a rideshare network to increase utilization of the fleet vehicles, optimize fleet size for fleet operators, and supplement the fleet vehicles with the rideshare network during peak periods to service the rider base of the fleet operator.

Abstract: A computing system can communicate, over one or more networks, with computing devices of requesting users and transport providers of a transport service, and determine, based at least in part on location data from the computing devices of a cluster of the requesting users, that the cluster of requesting users is currently in transit on a third-party transit means. The computing system can then determine that a subset of the cluster will arrive at a common arrival location of the third-party transit means, and execute a timing optimization for the subset to determine, for each requesting user of the subset, an optimal time to transmit a transport request for an on-demand transport service at the common arrival location.