Case studies

Six industries.
One playbook, learned six ways.

Each of these is a standalone case study documenting how a specific industry reads you, scores you, and sets a price for you. The signals, the math, the specific companies, and the defenses that actually work.

📦
Retail

Amazon

Amazon has been running dynamic pricing at massive scale for more than a decade. The company changes prices on its listings 2 to 3 million times a day on average, according to anal...

5-40% spread 8 signals 4 defenses
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🚗
Rideshare

Uber

Uber pioneered consumer-facing dynamic pricing on a scale nobody had really seen before. The app's fare estimate changes by the second, and while surge pricing is the part riders n...

1.5-5x spread 8 signals 4 defenses
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✈️
Travel

Airlines

Airlines invented dynamic pricing in its modern form. Yield management systems have been adjusting fares in real time since the deregulation era of the 1980s, and the practice has ...

20-80% spread 8 signals 4 defenses
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🛒
Retail

E-commerce

Most of the personalization on non-Amazon e-commerce sites hides inside coupons, discounts, and A/B tests rather than changes to the sticker price. The effect is the same. Two shop...

5-20% spread 8 signals 4 defenses
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🏨
Hospitality

Hotels

Hotels have some of the most mature revenue management systems in existence. Every large chain runs dynamic pricing twenty-four hours a day, with prices changing based on occupancy...

10-35% spread 8 signals 4 defenses
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🛡️
Finance

Insurance

Insurance was personalizing prices decades before the word algorithmic pricing existed. The modern version is more aggressive than the old one, drawing on credit scores, driving be...

2-11% spread 8 signals 4 defenses
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Run the numbers

The simulator runs on these exact models.

Every factor weight, every example price, every defense recommendation traces back to the same dataset. Try any of the industries above in the simulator and watch the model in action.

Launch the Simulator