Optimizing Dynamic Pricing Models to Mitigate Consumer Demand Shock in E-commerce: A Strategic Management Approach
Keywords:
dynamic pricing, consumer demand, e-commerce strategies, strategic management, market volatility, pricing optimization, consumer behavior, data analyticsAbstract
This study investigates the efficacy of dynamic pricing models in responding to consumer demand fluctuations within the e-commerce sector. Leveraging a mixed-methods approach, we employed quantitative analysis using a dataset of over 10 million transactions from various online retailers, alongside qualitative interviews with industry experts. Our findings reveal that optimized dynamic pricing strategies can lead to a 15% increase in revenue during demand shocks, while also enhancing consumer satisfaction rates by 20%. This paper elucidates the mechanisms through which pricing adaptivity affects market stability and provides actionable insights for managers seeking to implement these strategies effectively.
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