What is RMS in Hotels? Revenue Management System

What is RMS?

RMS = Revenue Management System

Software that analyzes demand patterns, competitor rates, and market data to recommend optimal room pricing. It helps hotels maximize RevPAR through dynamic pricing.

What Does an RMS Do?

  • Demand forecasting: Predicts future occupancy based on historical data
  • Rate recommendations: Suggests optimal prices for each day
  • Competitor monitoring: Tracks competitor pricing (rate shopping)
  • Dynamic pricing: Adjusts rates based on demand signals
  • Inventory controls: Recommends MLOS, CTA restrictions
  • Performance analytics: Tracks RevPAR, ADR, pickup pace

How RMS Works

  1. Collects data: Historical bookings, market data, events, competitor rates
  2. Analyzes patterns: AI/algorithms identify demand patterns
  3. Forecasts demand: Predicts occupancy for future dates
  4. Recommends rates: Suggests optimal pricing per room type, per day
  5. You approve/auto-push: Review recommendations or auto-update rates
  6. Updates channels: New rates push to PMS and channel manager

RMS vs Manual Pricing

Manual Pricing RMS Pricing
Based on intuition Based on data & algorithms
Update rates weekly/monthly Update rates daily or real-time
Same rate for weeks Different rate for each day
React to demand Anticipate demand
Limited competitor tracking Continuous competitor monitoring
Time consuming Automated recommendations
Example: A wedding in town next weekend. Manual pricing might miss it. RMS detects unusual booking pace, competitor rate increases, and local events - recommending a 30% rate increase 2 weeks in advance.

Does Your Hotel Need an RMS?

Hotel Size RMS Recommendation
Under 30 rooms Basic rate shopping tool may suffice
30-100 rooms Entry-level RMS beneficial
100+ rooms Full RMS strongly recommended
Multiple properties Enterprise RMS essential

Popular RMS Options

RMS Best For Price Range
RateGain Indian mid-market hotels ₹50,000+/year
IDeaS Large hotels & chains Premium
Duetto Full-service hotels Premium
Atomize Small-mid hotels ₹30,000+/year
RoomPriceGenie Small independent hotels ₹20,000+/year

Key Metrics RMS Optimizes

  • RevPAR: Revenue Per Available Room - primary optimization goal
  • ADR: Average Daily Rate
  • Occupancy: Percentage of rooms sold
  • Booking Pace: Rate of reservations coming in
  • Length of Stay: Average nights per booking
  • Lead Time: Days between booking and arrival

RMS Integration Requirements

For RMS to work effectively, it needs to connect with:

  • PMS: For booking data, occupancy, revenue
  • Channel Manager: To push rate updates to OTAs
  • Rate Shopper: For competitor pricing data
  • Event Calendar: Local events, holidays
Start Simple: If full RMS is beyond budget, start with a rate shopping tool to track competitor prices. Manual revenue management with good data is better than no revenue management.

Revenue Management Without RMS

If you can't afford an RMS yet, practice these fundamentals:

  1. Track competitor rates: Check 5 competitors daily
  2. Monitor booking pace: Compare to same period last year
  3. Calendar events: Mark local events, holidays, conferences
  4. Segment pricing: Different rates for business vs leisure
  5. Weekly rate reviews: Adjust rates based on pickup
  6. Use MLOS: Minimum stay during peak periods