Instead of focusing on AI for generating final assets, Amazon applies it to solve specific workflow bottlenecks. For one campaign, they used a custom AI tool to curate millions of customer reviews, identifying the most poetic ones in a fraction of the time it would take humans, thus using AI for insight discovery.

To manage inevitable food waste, the cruise line employs a waste-to-energy system. Leftover food is incinerated, and the energy generated is used to power amenities like the massive Category 6 water park, creating a partial closed-loop system for managing the byproducts of its large-scale dining operations.

Walmart demonstrates the tangible revenue impact of mature AI integration. By deploying tools like GenAI shopping assistants, computer vision for shelf monitoring, and LLMs for inventory, the retailer has significantly increased customer spending, proving AI's value beyond simple cost efficiencies.

Instead of offering a standard discount to all abandoning shoppers, AI analyzes individual behavior to determine the precise, minimum percentage off needed to secure the conversion. This maximizes sales while preventing unnecessary margin erosion.

Flexport's AI optimization models achieved a rare win-win: making ocean shipping both 20% faster and 2% cheaper. This defies the conventional logistics trade-off where speed costs more. The AI constantly re-optimizes container placements, a task humans cannot do at scale, particularly for cancelled shipments.

The extreme efficiency of the cruise ship's kitchens is based on Auguste Escoffier's 'brigade system.' Adapted from 19th-century military hierarchy, it uses specialization and an assembly-line process, enabling a small army of chefs to produce an enormous volume of food with precision and control.

AI platforms like Magic enable high-end restaurants to move beyond reactive service. By analyzing public data like social media and reservation history, they anticipate unstated guest needs to create hyper-personalized experiences, fostering deep loyalty that justifies premium pricing.

AI uses shopper clickstream and sales data to segment customers and SKUs with precision. This allows brands to offer targeted discounts where needed, maintaining trust by avoiding deceptive practices like shrinkflation and being transparent about necessary price increases on less elastic products.

AI analyzes sales, operations, and media data to identify price elasticity across product bands. Brands can then increase prices on premium items where consumers are less sensitive, while keeping prices flat on essentials, thus protecting margins without alienating the entire customer base.