Actabl Granted U.S. Patent for Its Proprietary Approach to Hotel Data Normalization

The U.S. Patent and Trademark Office has recognized Actabl's unique method for standardizing hotel data across disparate systems — the engine that makes Actabl's business intelligence trustworthy at scale.

ATLANTA, GA — Actabl, the leading hospitality software company dedicated to empowering hotels with actionable insights to drive profit, today announced it has been granted a U.S. patent for its proprietary method of normalizing raw enterprise hotel data from disparate sources. Actabl is the only hotel technology company to have been granted a patent by the U.S. Patent and Trademark Office for this unique approach to data normalization.

The patent protects the foundational technology that makes Actabl's business intelligence reliable — the system that ensures every data point flowing into Actabl from a hotel's technology stack means the same thing, regardless of which system it came from.

Hotel operators managing multi-property portfolios know the problem well. Every system in a hotel's technology stack — the property management system, point-of-sale, labor management platform, OTA feeds, and accounting software — was built by a different company, uses different terminology, and organizes data differently. Without a reliable way to normalize that data, operators cannot trust that the numbers they are looking at are truly comparable across properties, brands, and systems. Performance reviews are delayed. Owner reporting requires reconciliation. And the data that should be driving decisions ends up creating doubt instead.

Actabl's patented normalization system addresses this directly. When data flows into Actabl from across a property or portfolio, the system reads the natural language inside that data, identifies what each field means, and maps it to a consistent, standardized taxonomy. The result is a unified view of performance that hotel leaders can rely on — comparable across systems, brands, and properties.

"The challenge was never just connecting systems," said Mike Fatal, Senior Data Engineer at Actabl and named inventor on the patent. "It was making sure the data those systems produced actually meant the same thing when you brought it all together. Two clients can use the same label for an account and be tracking completely different things. What we built makes it possible to know, confidently, that the numbers you're looking at are genuinely comparable — not just consolidated."

The normalization engine in production today is what makes Actabl's business intelligence data trustworthy. The patent also covers a machine learning component trained on Actabl's proprietary hospitality data mapping history — a capability that, as it is brought fully online, will surface recommendations to help hotels connect new systems and properties faster, drawing on the accumulated mapping intelligence of every integration Actabl has ever built.

The patent reflects work across multiple teams and more than a decade of development. Members of Actabl's engineering and product organization who are named as inventors include: Mike Fatal, Kathryn Green, Clark Brayton, Justin Call, and Pritesh Patel.

"The chart of accounts is the backbone of how Actabl's business intelligence works," said Kathryn Green, Senior Technical Product Manager at Actabl and named inventor on the patent. "Everything — how data is imported, how it is reported, how data points connect to each other — flows through that structure. The normalization layer we built on top of it is what allows us to make sense of data across every client, at scale."

Actabl's patented approach supports more than 250 active integrations, spanning property management systems, point-of-sale platforms, accounting software, labor management systems, and OTA data feeds. Critically, Actabl works with whatever data format a vendor can provide — rather than requiring vendors to write to a specific spec — which is why the integrations team has never turned down an integration request.

"We tell every vendor the same thing: show us what you have and how you can provide it, and we will make it work," said Pritesh Patel, Director of Product at Actabl and named inventor on the patent. "It does not matter how the data comes in. What matters is that when it lands in Actabl, it means the same thing it means everywhere else."

For hotel operators, that commitment translates directly into confidence. The data they see across their portfolio reflects what actually happened — not just what each system happened to call it.

As AI becomes a more prominent part of how hotels access and interpret their data, the quality of the underlying normalization layer matters more, not less. AI applied to inconsistent, un-normalized data does not produce better intelligence. Actabl's patented system is the foundation that makes AI-powered hotel analytics trustworthy — and the machine learning component covered by the patent is the next step in making that foundation smarter over time.

To learn more about how Actabl's data engine works, visit actabl.com.