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Mission

Booko gives every service business the revenue superpowers that, until now, only the largest companies in the world could afford.

Every hour that goes unsold converts to zero. Every hour priced wrong leaves money on the table. Airlines, hotels and Uber built teams of pricing scientists, ML engineers and revenue managers to figure out what will sell, what customers will pay, and what to do about it.

The rest of the service economy has the same problem. Fitness studios, med spas, salons, tours, venues, anything you can book. They just haven’t had the hundred math PhDs.

Across the service economy, demand changes while prices stay fixed. Slots go empty that could have sold, and others sell for less than customers would have paid. That’s revenue businesses could be earning from the locations, staff and schedules they already have. Our mission is to make our customers more money by fixing this inefficiency.

Serving these businesses takes more than a generic pricing algorithm. Every location has different customers and patterns of demand. Every price affects the slots around it. Filling one class by emptying the next doesn’t count.

AI changes the economics

What once required teams of ML engineers, data scientists, consultants, and revenue managers can increasingly be done by agents. Booko connects to the systems a business already uses, learns what moves its demand, and carefully tests how customers respond to price. It learns which incentives bring in new bookings, which move customers between slots, and which give away revenue.

Then it acts. Booko prices the whole schedule together to make the most profit across everything the business sells. That same understanding of demand can guide targeted marketing, staffing and scheduling.

AI is changing who buys, too

AI is changing the buyer’s side, too. As personal agents search and book for consumers, they can spot price gaps, chase discounts and act faster than people. Businesses will need pricing that keeps up.

Making our customers more money

Booko starts with dynamic pricing and builds toward one system that understands demand and acts across the business. Every decision serves the same goal: helping our customers earn more from the locations, staff and schedules they already have.

You used to need a hundred math PhDs.

Now you don’t.

We’re hiring

See open roles

Never lose money on unsold time again.

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