E-commerce ML

In e-commerce, every interaction — every search query, product impression, price point, and promotional slot — is a machine learning decision surface. The difference between a mediocre recommendation engine and a state-of-the-art one is not academic; at scale, it is the difference between a 2% and a 4% conversion rate, which translates directly into hundreds of millions in incremental revenue. This series covers the technical frontier: transformer-based product embeddings, contextual bandits for real-time price optimization, graph neural networks for cross-sell, conformal prediction intervals for demand planning, and the cold-start strategies that determine whether new products sink or surface.

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