Taylor Amarel

Developer and technologist with 10+ years of experience filling multiple technical roles. Focused on developing innovative solutions through data analysis, business intelligence, OSI, data sourcing, and ML.

Optimizing Dynamic Pricing with Reinforcement Learning and Market Data

Introduction: The Power of Dynamic Pricing in Modern Retail In today’s fiercely competitive retail landscape, the limitations of static pricing models are increasingly apparent. The one-size-fits-all approach struggles to capture the full potential of revenue and profitability in a market characterized by fluctuating demand, real-time competitor actions, and ever-shifting customer preferences. Dynamic pricing, the practice