21 data science systems used by Amazon to operate its business

Sites selection for warehouses to minimize distribution costs (proximity to vendors, balanced against proximity to consumers). How many warehouses are needed, and what capacity each of them should have. Selection of optimal routes, schedules, and products groupings, to minimize delivery costs (using graph theory) Supply chain optimization (III). Minimize time spent by drivers in traffic jams (requires traffic prediction) while optimizing delivery speed, gas usage and other factors (better be stuck 20 minutes in a traffic jam than a costly detour, or departing later?) Pricing and profit optimization (per-product price elasticity studies needed; may require products to be aggregated in categories, to create buckets that yield statistical significance) Fraud detection for credit card transactions (use decision tree methods).