Ride Against the Algorithm
In the current food delivery market, riders typically serve only one platform, losing much of their autonomy in the process. The platform system continuously collects and analyzes rider data, using these results to influence and establish a controlled labor order. This digital control not only diminishes riders' willingness to resist but also erodes their ability to exercise autonomy, subtly involving them in the management of their own activities.
To address this challenge and restore autonomy to delivery workers, I designed a mechanism that allows them to freely combine orders from multiple platforms. By conducting a thorough analysis of the reward and penalty systems of various platforms using extensive rider data, this mechanism enables riders to flexibly choose and combine orders from different platforms without facing penalties. The can reasonably schedule their delivery times to ensure they do not systematically arrive too early, thus preventing the platform from unreasonably compressing expected delivery times. This helps them avoid the restrictions imposed by any single platform on income and delivery routes, and also allows them to adjust their delivery plans according to their personal work rhythms and preferences, thus achieving true work freedom and maximizing income.