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Dynamic Pricing Strategies Uber's AI-Driven Pricing for Improved Customer Experience
Abstract
Uber's use of AI-driven dynamic pricing has revolutionized ride-hailing services by adjusting fares instantly according to demand levels and traffic conditions. Through an examination of Uber's pricing algorithms and machine learning models this chapter demonstrates how these systems improve customer service by minimizing waiting times and maintaining service availability. These technological advancements make operations more efficient, but they create new issues around equitable treatment and the transparency of algorithmic decisions. The chapter uses new research findings and case studies to examine the advantages and ethical issues posed by AI pricing methods. The section shows how platforms manage to achieve both profitable operations and maintain user satisfaction and trust. The chapter ends with guidance for enhancing pricing model fairness through regulatory measures and research recommendations to build equitable pricing systems that prioritize customers.
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