Amazon's $1.5 trillion market cap is substantially built on AI.

Every major retailer is now chasing the same playbook.

AI retail applications: demand forecasting (predicting what sells where and when). Dynamic pricing that adjusts in real-time based on demand, competition, and inventory. Visual search (point your camera at something, find it in the store). Personalized marketing with LLMs generating individualized content. Automated inventory management with computer vision. Supply chain optimization.

The retail AI market: $31B by 2028, growing at 35% annually.

Roles: Retail ML Engineer. Demand Forecasting Data Scientist. Pricing Optimization Engineer. Visual Search ML Engineer. Retail Analytics Platform Engineer.

What makes retail AI technically interesting: the scale (millions of products, billions of transactions), the speed (pricing decisions in milliseconds), and the direct revenue impact (a 1% improvement in recommendation quality can mean hundreds of millions in revenue for a large retailer).

Salary: $130K-$250K US. Indian e-commerce (Flipkart, Myntra, Meesho, Swiggy): 20-50 LPA.

The career appeal: your work directly drives revenue in a way that's immediately measurable. That clarity of impact makes it easier to advance, easier to justify compensation, and easier to explain what you do.

Retail isn't sexy. But it's enormously profitable AI work.