WillsEducation
AI & ML20 min readPublished 18 February 2026

AmazonAmazon's invisible AI, from product recs to last-mile routing.

Recommendation SystemsLogistics MLForecasting
Amazon case study cover

The story

A tour of the ML stack that runs across recommendations, supply-chain forecasting, dynamic warehousing, and Alexa, and why Amazon's real AI story is industrial, not consumer.

What you’ll learn

  • 01Item-to-item collaborative filtering: the recsys pattern that still pays rent at scale
  • 02Forecasting across millions of SKUs with hierarchical models
  • 03Last-mile routing: a constraint-satisfaction problem masquerading as a data problem

Full case study

Coming Soon!

We’re finalising the deep-dive on Amazon with our mentor team. The summary and key lessons above are the spine of the full breakdown, drop your email through Apply Now to be the first to read it when it lands.

Alumni outcome

NG

Nitesh Gupta

Product Analyst, Swiggy Data Science Lead, Swiggy

Amazon's hierarchical forecasting case study directly shaped the approach I proposed internally. It got me the lead role and an actual roadmap to execute.

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