The AI revenue platform
for
travel pricing

MojitoIQ turns every competitor price, parity signal, and demand shift into a ranked revenue move — continuously, autonomously, across flights and hotels.

Signals in
Live market context
stream live
  • Competitor rates
  • OTA channel parity
  • Demand & booking pace
  • Events & seasonality
AI core
Reasons & ranks
inference n=3 layers
  • Forecast demand
  • Detect anomalies
  • Simulate impact
  • Rank with reason codes
Decisions out
Revenue moves
actions ranked
  • Rate recommendations
  • Parity alerts
  • Yield simulations
  • API feeds
The platform

Every pricing decision, backed by data.

Eight modules that work standalone or together — from live competitor rates to AI forecasts to yield recommendations. Start where it hurts most, expand when you're ready.

Revenue managers Distribution teams Commercial strategy Data & engineering
See the market

Real-time competitive intelligence

Track every competitor price, detect parity violations the moment they happen, and see where you sit in the market.

Decide with confidence

AI forecasts & yield recommendations

Predict demand, simulate revenue impact, and get ranked pricing recommendations your team can act on today.

Deliver anywhere

APIs, feeds & widgets

Dashboards for analysts, APIs for engineers, datasets for warehouses, and drop-in widgets for partner sites.

The MojitoIQ stack

One AI platform. Four intelligent layers.

Every module plugs into a shared data core, a shared AI engine, and a shared delivery surface — so decisions stay consistent across revenue, distribution, and strategy.

Shared data core Shared AI engine Shared delivery
See every module
L04

Delivery surface

Web dashboards for analysts, APIs for engineers, and scheduled feeds for warehouses. Data lands wherever your team already works.

Dashboards REST · GraphQL Feeds Widgets
L03

AI decision agents

Autonomous agents that forecast demand, simulate revenue impact, and rank pricing moves — with reason codes your team can audit.

Forecast Yield Market Reason codes
L02

Intelligence modules

Live competitor rate comparison and continuous parity monitoring. Alerts surface violations the moment they happen, with screenshot evidence attached.

Rate Parity Alerts
L01

Data core & MojitoIQ Engine

A purpose-built collection engine that handles anti-bot challenges, deduplication, and tax-and-fee normalization so every rate is truly comparable.

Collection Normalization Multi-tenant Always-on
Solutions

Built for every team that lives in live market data.

Revenue teams, pricing analysts, distribution managers, engineers, researchers — same modular platform underneath, different modules on top.

Talk to sales

For airlines

Commercial teams · route planners · revenue analysts

01

Route-level fare intelligence, cabin-class monitoring, and capacity signals across the carriers you track. AI forecasts tuned on your booking curve.

Flights Rate Forecast Yield

For hotels & hospitality

Chains · independents · revenue directors · distribution managers

02

Property-level rate tracking, OTA parity scoring, and AI-ranked pricing moves for every property in the portfolio — roll up to brand, drill down to room type.

Hotels Rate Parity Yield

For car rental operators

Fleet managers · rental revenue teams · consolidators

03

Location-level rate tracking, fleet-class monitoring, and ancillary pricing across every rental channel. See every vehicle class, every location, continuously.

Car Rental Rate Forecast Yield

For retail & e-commerce

Pricing teams · category managers · brands defending MAP

04

SKU-level competitor pricing, catalog tracking, stock monitoring, and MAP violation alerts across every online store in your category.

E-commerce Rate Scraping Data

For real estate & PropTech

Valuation teams · rental operators · PropTech product teams

05

Listing-level price history, rental yields, and market trend signals across every property platform in your target markets.

Real Estate Data Feeds

For TMCs & partners

Travel management · OTAs · consultancies · agency networks

06

White-labeled rate intelligence plus API and widget access to embed live pricing in your own tools. Agency Optimizer handles the combined-trip math.

Agency Widgets Data

For developers & data teams

Engineers · analytics · internal tool builders

07

REST, GraphQL, webhooks, and SDKs for pricing, parity, and forecast data. Full docs, stable schemas, and Scraping-as-a-service for custom sources.

Data Scraping Widgets

For hedge funds & researchers

Alternative data teams · consulting firms · academic research

08

Curated pricing and demand-proxy datasets delivered as scheduled Parquet/CSV or native warehouse share. Historical exports on demand.

Feeds Data
The AI inside

An AI-first platform, built to keep pace with every market move.

Every module on the platform is built around these principles from day one — trained on your data, explainable, and always under human control.

Purpose-built AI Agentic workflows GenAI Copilot Anomaly detection Natural-language query Tuned per tenant

Trained on your data

Demand and pricing models tuned to your own history. Confidence intervals on every prediction, not a single number.

Reason-code explainability

Every AI recommendation carries reason codes — event demand, competitor shift, pace, seasonality — so your team can audit the output.

Agentic workflows

Independent agents watch the market, detect anomalies, and surface only the moves that matter — less noise, more signal.

Human in the loop

AI proposes, humans approve. Your revenue managers stay in control of every decision — one-click approve, simulate, or override.

How it works

From raw pricing signal to revenue decision — in four steps.

One platform handles the entire pipeline, so your team skips the plumbing and goes straight to the decision.

Continuous Normalized Explainable Actionable
Step 01 · Capture

Every price, everywhere

The engine captures live rates across airlines, OTAs, and direct channels — continuously.

Step 02 · Normalize

Clean, comparable data

Rates are deduped, currency-normalized, and mapped to your competitive set so every comparison is apples-to-apples.

Step 03 · Analyze

Forecasts & recommendations

AI models detect parity breaks, predict demand, and rank pricing moves with explainable reason codes.

Step 04 · Act

Decide in dashboards or APIs

Revenue teams act in the dashboard. Engineers consume REST, GraphQL, or warehouse feeds.

See MojitoIQ on your own rates.

Tell us about your properties or routes — we'll walk you through the platform and show you how MojitoIQ fits your team's workflow.