Abstract: Example aspects of the present disclosure relate to a hybrid approach for scheduling delivery services that seamlessly integrates real-time courier matching with pre-matching batch analysis to optimize courier time. An example method includes accessing delivery data for a subset of a plurality of delivery services that are available for batch delivery assessment. The method includes generating a batched route for at least two delivery services of the subset of delivery services based on the delivery data. The method includes detecting a state change that is associated with a delivery service of the batched route. In response to the state change, the method includes accessing real-time vehicle data indicative of an availability of one or more vehicles and communicating data indicative of the batched route to at least one vehicle of the plurality of vehicles.

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: An electronics system may include a substrate, an electronic device bonded to the substrate, a plurality of photoluminescent particles disposed on the electronic device, an illuminator, a sensor, and a control module. The illuminator can illuminate the electronic device. The sensor can capture a first set of positions of the photoluminescent particles on the electronic device when the electronic device is not operating under a load and a second set of positions of the photoluminescent particles when the electronic device is operating under a load. The control module can determine thermomechanical stress on the electronic device based at least in part on a difference between the first set of positions and the second set of positions.

Abstract: A network computer system operates to receive service requests from multiple requesters. Based at least in part on a proximity between the current locations of a first and a second requester, the system can match the first service request and the second service request by (i) selecting a pickup location for the first and second requesters, (ii) transmitting rendezvous information to the computing devices of the first and second requesters, (iii) determining an estimated time interval for each of the first requester and the second requester to arrive at the pickup location, and (iv) selecting a transport provider to service both the first transport request and the second transport request, based at least in part on the pickup location, a current location of the transport provider, and the estimated time interval for each of the first requester and the second requester.

Abstract: An electronics system may include a substrate, an electronic device bonded to the substrate, a plurality of photoluminescent particles disposed on the electronic device, an illuminator, a sensor, and a control module. The illuminator can illuminate the electronic device. The sensor can capture a first set of positions of the photoluminescent particles on the electronic device when the electronic device is not operating under a load and a second set of positions of the photoluminescent particles when the electronic device is operating under a load. The control module can determine thermomechanical stress on the electronic device based at least in part on a difference between the first set of positions and the second set of positions.

Abstract: A computing system can detect high capacity vehicles (HCVs) coming online to provide transport services. The computing system monitors transport demand for HCV corridors throughout a geographic region. Each HCV corridor comprises a plurality of possible rendezvous locations and a plurality of possible routes that can be traveled by individual HCVs through the HCV corridor, as opposed to having fixed routes with fixed stops. The computing system can determine a schedule for each HCV corridor, and monitor supply flow of HCVs traveling through each HCV corridor. Based on (i) the transport demand, (ii) the schedule, and (iii) the supply flow of the HCVs for each of the HCV corridors, the computing system can match the HCV with a specified HCV corridor, and transmit match data indicating a start zone of the matching HCV corridor to the computing device of the HCV.

Abstract: A computing system can assign a transport request to a high capacity vehicle (HCV) corridor of a plurality of HCV corridors, where the HCV corridor is associated with a plurality of possible rendezvous locations and a plurality of possible routes that can be traveled by individual HCVs. The computing system can determine, from the transport request of the requesting user, an optimal pick-up location from the plurality of possible rendezvous locations of the HCV corridor for an HCV to rendezvous with the requesting user.

Abstract: A network computer system operates to receive service requests from multiple requesters. Based at least in part on a proximity between the current locations of a first and a second requester, the system can match the first service request and the second service request by (i) selecting a pickup location for the first and second requesters, (ii) transmitting rendezvous information to the computing devices of the first and second requesters, (iii) determining an estimated time interval for each of the first requester and the second requester to arrive at the pickup location, and (iv) selecting a transport provider to service both the first transport request and the second transport request, based at least in part on the pickup location, a current location of the transport provider, and the estimated time interval for each of the first requester and the second requester.

Abstract: A network computer system operates to receive a plurality of service requests over a given time interval, where individual service requests specify a respective target destination and a current location of a respective requester device. For each service request, the network computer system arranges a pooled transport service for the corresponding requester by selecting a service start location, and instructions for enabling the requester to travel to the service start location. The network computer system may select the service provider based on a variety of considerations, including the service start location, the current location of the corresponding service provider, and the determined time interval.

Abstract: A network computer system operates to receive a plurality of service requests over a given time interval, where individual service requests specify a respective target destination and a current location of a respective requester device. For each service request, the network computer system arranges a pooled transport service for the corresponding requester by selecting a service start location, and instructions for enabling the requester to travel to the service start location. The network computer system may select the service provider based on a variety of considerations, including the service start location, the current location of the corresponding service provider, and the determined time interval.