Hotelinsight – Intelligent Hotel Revenue Management

Key Features

• Composite Demand Scoring: Proprietary 0-100% demand score blending sold-out levels, search trends, flights, holidays, events, and rate index into a single actionable metric.
• AI Rate Recommendations: Rule-based engine evaluates occupancy, pickup velocity, orphan dates, and lead time to recommend increase, hold, or decrease actions for every future date.
• AI Visitor Forecasting: AI predicts visitor arrivals by analyzing historical data, flight patterns, holidays, events, and news trends across Singapore, Tokyo, Kyoto, and Hong Kong.
• Flight & Event Intelligence: Track incoming flight volumes and major events to anticipate demand surges before they happen.
• Market Benchmarking: Compare your rates and occupancy against 180+ competitor hotels, plus government tourism board benchmarks across multiple markets.
• Pickup & Revenue Analytics: Track booking velocity, cancellation revenue impact, channel rate adjustments, room type performance, and day-of-week patterns with actionable visualizations.

How It Works

1. Step 1: Connect Your PMS — Integrate with your PMS in minutes. Your reservation, occupancy, and rate data syncs automatically.
2. Step 2: Configure Your Market — Select your city, set target occupancy, rate boundaries, and source markets. The system begins collecting market intelligence immediately.
3. Step 3: Get AI-Powered Rate Advice — Receive daily pricing recommendations backed by 6+ demand signals, pickup analysis, and competitive benchmarking.

Plans That Scale With Your Property

Frequently Asked Questions

What is hotel revenue management software?

Hotel revenue management software analyzes demand, competitor rates, and booking patterns to recommend the optimal room rate for each future date. HotelInsight is a hotel revenue management system built for Asia-Pacific markets: it blends six demand signals — competitor sold-out levels, search trends, flight volumes, events, holidays, and rate index — into a single 0–100% demand score, then recommends whether to increase, hold, or decrease your rate for every stay date.

How does dynamic pricing increase hotel revenue?

Dynamic pricing raises rates when demand signals are strong (high search interest, inbound flights, events, holidays, competitor sell-outs) and lowers them when pickup is slow, so you capture more revenue on peak dates and fill rooms on soft dates. Hotels using HotelInsight's demand-driven recommendations typically see RevPAR gains because rates track real market demand daily instead of static seasonal tables.

Which Property Management Systems (PMS) does it integrate with?

We support direct integrations with major PMS providers including Cloudbeds, Opera, Mews, Protel, and AirHost. For systems not on our native list, we offer a data import API and CSV-based sync. Most properties are live within 24–48 hours of signing up.

Which Asian markets does the platform cover?

We cover Singapore, Hong Kong, Japan (Tokyo, Osaka, Kyoto and all 47 prefectures via MLIT), South Korea, and key Southeast Asian markets including Thailand, Indonesia, Vietnam, Malaysia, and the Philippines. Each market uses primary-source government tourism board data rather than third-party estimates.

How does the demand score work?

The composite demand score (0–100%) blends six signals: sold-out rate from comparable hotels, Google search trend momentum, inbound flight volumes, event calendar density, public holiday proximity, and rate index position versus the competitive set. It updates daily and is presented as a single actionable number per future date.

How often are competitor rates updated?

Competitor rates are collected daily across your configured competitive set. For properties on the Professional plan and above, rate intelligence covers 180+ hotels per market. You can also trigger on-demand rate pulls for specific dates.

Can I use it for multiple properties?

Multi-property management is available on the Enterprise plan. You get a unified dashboard across all properties, cross-property benchmarking, and a single account manager. Individual property plans (Starter, Professional) are per-property.

How accurate is the AI visitor forecasting?

Visitor forecasts combine historical arrival patterns from government tourism boards, forward-looking flight booking data, holiday calendars, and major event schedules. Forecasts are produced at the weekly level, 12 weeks forward. Accuracy is highest for well-established travel patterns (e.g., Golden Week, Chinese New Year) and lower for novel disruptions.

Is my property data shared with competitors or third parties?

No. Your reservation, occupancy, and rate data is never shared with other hotels or external third parties. Market benchmarking uses anonymized aggregates — your property's individual data is never identifiable in any benchmark output.

What does 'AI Rate Recommendation' actually recommend?

Each future date receives one of three recommendations: Increase (demand signals and current occupancy support a rate above your current position), Hold (current rate is appropriately positioned), or Decrease (low pickup velocity or demand softness suggests reducing rate to stimulate bookings). Recommendations are accompanied by the specific signals driving the decision.

Can I adjust the pricing algorithm to match my hotel's strategy?

Yes. You can configure minimum and maximum rate floors, target occupancy thresholds, lead-time sensitivity, and the relative weighting of different demand signals. The algorithm settings page lets revenue managers tune the model without needing technical support.