How Retailers Win With Dynamic Pricing

Dynamic pricing is no longer just for airlines or ride-sharing apps. In this episode, Lucas and Luna explore how major retailers like Walmart and Target are using machine learning to adjust prices in real-time based on inventory levels, competitor movements, and local demand signals. We break down the specific algorithms behind these decisions, the ethical considerations of price discrimination, and why consumers often pay more without realizing it. From grocery store perishables to electronics during holiday rushes, we examine the data infrastructure that makes invisible price changes possible and what it means for your wallet in October 2026.

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