Description
Lighthouse is the new name for OTA Insight, a commercial platform built for hotels and other hospitality businesses. The company describes it as a commercial operating platform that unites revenue, distribution, and marketing teams around one set of data, aiming to turn "billions of daily rates plus demand, parity and market signals" into pricing and booking decisions. It describes its AI as "built by hoteliers, with the collective intelligence of tens of thousands of properties behind it," tying the product's data scale directly to its hospitality-industry focus.
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The core product line covers three areas. Lighthouse Pricing gives real-time rate recommendations and tracks competitive positioning against other properties. Lighthouse Performance brings business intelligence, forecasting, and portfolio benchmarking together in one view. Lighthouse Direct focuses on direct bookings, including personalized offers and price matching so hotels can compete with online travel agencies on their own channels.
Lighthouse has layered newer AI products on top of that data. Ernest, described as an AI teammate, lets a hotelier ask a business question in conversational language and get an answer linked back to the underlying data, plus a recommended next action; the company positions it as a "system of action" that can also carry out tasks inside a hotel's existing tech stack, with the user's approval. Connect AI puts direct-booking options for a hotel inside ChatGPT conversations. KITT is a separate AI receptionist product that answers calls, messages, and booking requests around the clock. As described on the site, Ernest is currently in beta for select customers rather than generally available.
Lighthouse's customers range from large hotel chains and regional groups to independent properties, hotel management companies, and destination marketing organizations. The company publishes customer results such as a 20% revenue gain for Kingston Hotels from faster rate adjustments, a cut in daily report preparation from two hours to fifteen minutes for Holiday Inn Express Yerevan, and a roughly 15% average daily rate increase, reaching 22% in low-demand periods, for La Casa Hotel Seoul. Pricing is not published; hotels need to contact Lighthouse directly for a quote.
- CategoryForecasting & Predictive Analytics
- Pricing ModelCustom
- DeploymentCloud
- PlatformsWeb
Lighthouse's Core Features
Lighthouse Pricing for real-time rate recommendations and competitive rate tracking
Lighthouse Performance for forecasting and portfolio benchmarking across properties
Lighthouse Direct for personalized offers and price matching on direct bookings
Ernest, an AI assistant that answers business questions and links each answer back to its data source
Connect AI for offering direct bookings inside ChatGPT conversations
KITT, an AI receptionist that handles calls, messages, and bookings
A commercial dataset the company describes as the largest in hospitality, covering rates, demand, and parity signals
How to use Lighthouse?
Connect your data: Lighthouse pulls in a hotel's rate, demand, and parity signals to build its dataset.
Check rate recommendations: Use Lighthouse Pricing to see real-time rates and how they compare to nearby competitors.
Review forecasts: Use Lighthouse Performance to track forecasting and benchmarking across a single property or a whole portfolio.
Ask Ernest a question: Get an AI-generated answer about business performance, linked back to the source data (beta access required).
Turn on direct-booking tools: Use Lighthouse Direct or Connect AI to offer personalized rates through the hotel's own channels or ChatGPT.
Lighthouse's Use Cases
- Hotel rate optimization
- Revenue forecasting
- Direct booking growth
- AI-assisted revenue Q&A
