Logistics is a $10 trillion global industry.

Last-mile delivery alone is $200B. And AI is rewriting the economics of every step.

Route optimization with ML saves delivery companies 15-25% on fuel costs. Demand prediction tells warehouses what to stock before orders arrive. Computer vision automates package sorting at 99.5% accuracy. NLP processes shipping documents in seconds instead of hours.

Companies like FedEx, DHL, Amazon, Delhivery, and dozens of logistics startups are hiring AI engineers aggressively.

Roles: Logistics Optimization ML Engineer. Demand Forecasting Specialist. Warehouse Automation AI Engineer. Fleet Management Data Scientist.

Salary: $130K-$240K US. India: 18-45 LPA.

The fascinating technical challenge: logistics optimization is NP-hard. You can't find the perfect solution — you find the best possible solution within time constraints. The intersection of combinatorial optimization and ML is a deeply rewarding area for engineers who enjoy hard math problems with real-world constraints.

A route optimization improvement of 5% for a large fleet saves millions annually. That's your impact — measurable, immediate, and massive.