Transport Service Fee Determination with Dynamic Pricing
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Solution Overview
Problem
Current on-demand transport services lack an effective method to estimate and calculate transport service fees in real-time, affecting user experience and service efficiency.
Innovation Solution
A system and method that utilize a processor to obtain service requests, determine estimated transport service fees based on starting point and historical information, apply price adjustments, and send updated fees to passengers, incorporating GPS and historical data for accurate pricing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real-time transport service fee estimation is implemented, then user experience is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by obtaining historical information and determining price adjustment conditions before calculating the final transport service fee. The processor first gathers service request data, then retrieves relevant historical information, determines pricing conditions, and finally calculates the fee - this sequential preliminary preparation simplifies the overall process by organizing complexity into manageable stages
Solution Approach 2:
The fee determination process is segmented into distinct functional modules: obtaining service request, retrieving historical information, determining price adjustment conditions, calculating adjustment amount, and computing final fee. This segmentation allows each component to be independently managed and optimized, reducing overall system complexity while maintaining real-time estimation capability
2Productivity
If dynamic pricing adjustments are applied, then service efficiency is improved, but calculation complexity increases
Solution Approach 1:
The system applies parameter changes by adjusting the transport service fee based on dynamically determined price adjustment conditions. The processor modifies pricing parameters (adjustment amount and direction) according to historical data and current service request characteristics, enabling flexible pricing that adapts to changing conditions without requiring complex recalculation of the entire fee structure
Solution Approach 2:
The system implements feedback mechanisms by using historical information to inform current pricing decisions. The processor analyzes past service data, identifies pricing patterns and conditions, and feeds this information back into the current fee calculation process. This feedback loop enables efficient dynamic pricing by leveraging accumulated knowledge rather than performing exhaustive calculations for each new service request
Data Source
AI summary
The present disclosure relates to a method and system for determining a transport service fee. The method may include: obtaining a service request transmitted from a passenger terminal, wherein the service request includes starting point information and destination information; determining an estimated transport service fee based on the service request; obtaining a price adjustment condition based on the service request, wherein the price adjustment condition is related to the starting point or historical information of the passenger terminal or a driver terminal; determining an amount of the price adjustment based on the price adjustment condition; determining an estimated transport service fee after the price adjustment based on the amount of the price adjustment and the estimated transport service fee; and sending the estimated transport service fee after the price adjustment to the passenger terminal.