An intelligent dynamic pricing system powered by Reinforcement Learning (Deep Q-Network) and Supabase (PostgreSQL). This project simulates a retail environment to optimize pricing strategies for maximizing revenue while maintaining competitive positioning.
python flask machine-learning reinforcement-learning deep-learning dqn yield-management dynamic-pricing streamlit supabase pricing-strategy retail-optimization
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Updated
Jan 10, 2026 - Python