LodgIQ

AI revenue management for hotel teams

SF8.5
Optimize hotel room pricing decisionshotel revenue managementAI pricing
Optimize hotel room pricing decisionshotel revenue management

Best for

Hotels needing data science based pricing

Pricing

Custom

SoftFinders Score

8.5 / 10

Overview

What is LodgIQ?

LodgIQ is an AI-powered hotel revenue management and commercial strategy platform that combines dynamic pricing, demand forecasting, market intelligence, business analytics, group pricing, and conversational AI for hotel commercial teams.


  1. Revenue optimization: LodgIQ uses machine learning to forecast demand and willingness to pay, then recommends rates and controls at room-type, rate-code, length-of-stay, and segment levels. Its models combine hotel performance and booking data with signals such as competitor rates, market trends, events, flight activity, and weather.
  2. Automation and AI: revenue teams can operate LodgIQ in manual, co-pilot, or auto-pilot mode, allowing recommendations to remain advisory or automatically update rates and restrictions. LodgIQ also now includes AI Wizard, a conversational revenue-intelligence interface that combines predictive, generative, and agentic AI so users can question hotel data and surface commercial insights in natural language.
  3. Commercial intelligence: MarketIQ provides market, neighborhood, segment, and competitive intelligence; BusinessIQ analyzes hotel performance and reporting; ForecastIQ produces daily aggregate and segment-level forecasts; and GroupIQ evaluates group opportunities using incremental revenue, displacement, ancillary revenue, alternate dates, and optimized pricing.
  4. Commercial considerations: LodgIQ’s current public comparison lists Base at $6 per room for its Standard RMS, Pro at $8 per room with Advanced RMS and mobile capabilities, and Premium at $10 per room with Advanced RMS, mobile, and expanded business intelligence. Feature depth increases across areas such as mobile analytics, granular pace reporting, pickup analytics, and portfolio reporting.


LodgIQ is most relevant to independent hotels, management companies, and hotel groups that want automated pricing and restrictions connected to forecasting, market intelligence, group-sales decisions, business analytics, and conversational revenue intelligence rather than using a rate-recommendation tool in isolation.

KEY FEATURES

What you get out of the box

AI Pricing

Recommends rates using demand and pickup

Group Pricing

Models group impact on hotel profitability

Forecast Tools

Predicts demand for commercial planning clearly

Market Signals

Tracks competitor and demand changes clearly

Portfolio Views

Supports multi-property revenue team oversight

Mobile Access

Gives managers pricing views on mobile

USE CASES

Where teams put it to work

Optimize hotel room pricing decisions
Evaluate group business profitability for hotels
Track demand across market periods
Support multi-property revenue management
Improve revenue team decision speed
Compare mid-market RMS alternatives

Editorial Take

What we like, and what to verify

What we like
  • Strong machine learning focus for revenue teams
  • Group pricing tools add commercial decision depth
  • Good fit for mid-market hotel portfolios
What to verify
  • Pricing requires direct vendor conversation and scoping
  • Very small hotels may find it heavy
  • Model quality depends on clean hotel data

FAQ

Quick answers

DECISION TIME

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Start with the product site, or compare it against similar tools before choosing.

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