Optimization method for cancel and late accountability judgment of driver in passenger pickup

Abstract

The invention discloses an optimization method for cancelling and late accountability judgment of a driver in passenger pickup, and the method comprises the following steps: S1, obtaining the predicted arrival time T1 of a driver at a passenger end and the predicted arrival time T2 of a driver at a driver end after an order is successfully matched; S2, when the passenger / MIS cancels the order, the following two situations are included: S21, triggering a primary accountability judgment logic: whether the order is cancelled within X minutes of ordering, if yes, the driver and the passenger do not have responsibility, and the fee does not need to be charged; and S22, if not, triggering a second-level cancelling accountability judgment logic according to whether the driver arrives at the boarding point or not. The method has the advantages that by means of the more scientific and more user-friendly late accountability judgment method, late accountability judgment and expense disputes in the driver and passenger receiving process are optimized, and platform loss minimization is guaranteed; for passengers, the retention rate of late orders is increased, and user loss caused by necessary cancel is reduced; the stability of customer service and human resource cost proportions is maintained; and for the driver, through reasonable accountability judgment and function optimization, the picking-up experience is increased.

Description

technical field [0001] The invention relates to the technical field of mobile Internet application service platforms, and in particular to an optimization method for driver cancellation and lateness judgment during driver pick-up and pick-up. Background technique [0002] With the increase in the number of orders on the platform, the behavior of passengers calling overtime and not arriving at the boarding point has increased. It turns out that drivers cannot receive passengers on time and need to call customer service and wait for a period of time before canceling the order. It is very inhumane. At the same time, some The driver was unable to arrive at the boarding point on time due to force majeure, and hoped that the passenger would cancel the order, which resulted in a cancellation fee paid by the passenger terminal, which caused dissatisfaction among the passengers. In response to the above phenomenon, the product manager has optimized the judgment of late cancellation i...

AI Technical Summary

Problems solved by technology

[0002] With the increase in the number of orders on the platform, the behavior of passengers calling overtime and not arriving at the boarding point has increased. It turns out that drivers cannot receive passengers on time and need to call customer service and wait for a period of time before canceling the order. It is very inhumane. At the same time, some The driver was unable to arrive at the boarding point on time due to force majeure, and hoped that the passenger would cancel the order, which would result in a cancellation fee paid by the passenger end, causing dissatisfaction among the passengers

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