Lack of Clarity in Routing and Matching Algorithms: App companies struggle to source vehicles and meet estimated arrival times (ETA) due to lack of transparency and understanding of the complex algorithms used for routing and driver-passenger or driver-package matching.
Complexity of Algorithms: Proprietary algorithms and factors such as traffic conditions and driver availability make the ETA predictions unclear, leading to longer wait times for users.
Dynamic Pricing Models: Apps employing dynamic pricing models based on demand and supply analytics can lead to unmet expectations and frustrations for users when sudden changes occur.
Insufficient Vetting and Security Measures: Many app companies face safety concerns due to inadequate driver background checks and security processes in the ride-share and delivery ecosystem.