Strategic Pricing in E-Commerce: A Game Theoretic Analysis of Amazon
Authors
Gollapalli Srinadh
srinadhgollapalli841@gmail.com
Bonangi Balaji Naidu
balajibonangi9@gmail.com
Bakkathatla Naresh
nareshbakkathatla4@gmail.com
Mahamad Asif Navaz
mdasifnavaz1@gmail.com
Master of Business Administration
Aurora Deemed To Be University, Uppal, Hyderabad, Telanagana, India.
Abstract:
This research paper explores Amazon’s dynamic pricing strategy in the highly competitive e- commerce landscape through the lens of Game Theory. The main objective of the study is to examine how Amazon formulates and adjusts its pricing decisions based on the strategic interactions with key competitors, such as Walmart and Flipkart. By applying core game- theoretic concepts, including Nash Equilibrium, Bertrand and Cournot competition models, the Prisoner’s Dilemma, and Stackelberg leadership dynamics, the paper investigates how these models can inform Amazon’s pricing decisions and improve its market positioning.
The research integrates theoretical models with real-world data, offering insights into how Amazon can use these strategies to anticipate competitors' moves, optimize its pricing decisions, and enhance profitability. Additionally, the study explores how artificial intelligence (AI) and algorithmic pricing mechanisms are increasingly integrated into Amazon’s dynamic pricing system. These tools enable Amazon to implement game-theoretic principles at scale, allowing the company to adjust prices in real time based on various factors such as competitor actions, demand fluctuations, and consumer behaviour.
The findings suggest that game theory provides a robust framework for Amazon to maintain its competitive edge in the global e-commerce market. By leveraging models like Stackelberg leadership, Amazon can act as a price leader, influencing competitors' strategies while optimizing profit margins. The research further highlights the role of AI in automating decision-making processes, allowing Amazon to execute these complex strategies efficiently.
The study concludes that a game-theoretic approach to pricing enables Amazon to effectively navigate competitive pressures, predict competitor behaviour, and maximize profitability. The findings contribute to the broader understanding of strategic pricing in digital markets and offer practical insights for data-driven decision-making in competitive e-commerce environments.
Keywords: Amazon, Game Theory, Dynamic Pricing, AI Pricing Models, Strategic Competition, Nash Equilibrium, E-commerce Strategy, Algorithmic Decision-Making.
