Patent underpins AI-ready hotel analytics
Actabl’s method for normalising raw data from disparate hotel systems is now codified in a patent. The technology, which powers its business intelligence layer, converts heterogeneous labels and data structures into a standardised taxonomy to provide a unified view of performance across brands and properties. For multi-site operators, the priority is ensuring that two metrics bearing the same name reflect the same reality, regardless of the source system.
When feeds enter the platform, the system reads the natural language in the fields, identifies what each element means, and performs semantic normalisation. The patent also covers a machine learning component trained on Actabl’s proprietary mapping history. As it is rolled out, this module is designed to recommend, faster, the connection of new systems and new properties.
Comparable data to make hotel analytics reliable
Actabl today supports more than 400 active integrations spanning property management systems, point-of-sale platforms, accounting software, labour management solutions and OTA data feeds. These tools often come from different vendors, with differing terminologies and schemas. Without reliable normalisation, the comparability of figures remains uncertain, which delays analysis, forces manual reconciliation and weakens dashboards. In this context, AI does not correct inconsistent inputs and can, on the contrary, amplify erroneous readings. The normalisation layer developed by Actabl is therefore presented as a foundation that makes analysis genuinely usable for decision-making. “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,” said Pritesh Patel, director of product at Actabl and a named inventor on the patent.
Actabl positions itself in business intelligence, labour management and the optimisation of hotel operations. Its offering brings together ProfitSword, Hotel Effectiveness, ALICE and Transcendent. The company says it serves more than 14,000 properties worldwide with a team of more than 300 people.