Described are systems and processes for generating dynamic estimated time of arrival
predictive updates for delivery of perishable goods. In one aspect a system is configured for …

Described are systems and processes for generating dynamic effort-based delivery value
predictions for real-time delivery of perishable goods. In one aspect, a system is configured …

In one embodiment, a method comprises determining, based on one or more metrics
indicative of passenger demand and driver supply, to send a first idle mode offer to a first …

In one embodiment, a method comprises receiving, at a server comprising at least one
processor, a transportation request from a computing device of a passenger, the …

BACKGROUND INFORMATION [0001] A taxi may provide a delivery service of picking up
one or more passengers from a first location and dropping off the passengers to a second …

In one embodiment a queue of drivers for a particular area is maintained, wherein the queue
specifies an order in which drivers are selected for transportation requests from the …

This disclosure covers machine-learning methods, non-transitory computer readable media,
and systems that generate a multiplier that efficiently and effectively provides on-demand …

This disclosure describes a transportation matching system that manages the allocation of
transportation providers by training and utilizing multiple machine-learning models to …

An online concierge system receives orders from users that include items from one or more
warehouses. The online concierge system identifies the orders to shoppers, who select one …

This disclosure covers machine-learning methods, non-tran sitory computer readable media,
and systems that generate a multiplier that efficiently and effectively provides on-de mand …