Help Documentation

Welcome to the Aries Hotel Rate Management help page. Here you'll find information on how to use the system effectively.

Getting Started

To get started with Aries Hotel Rate Management:

  1. Register: Click the "Register" link in the navigation bar and fill out the registration form with your details.
  2. Email Confirmation: Check your email for a confirmation link and click it to activate your account.
  3. Login: Once your account is activated, log in using your email and password.

Configure your hotel details in the Admin section:

  1. Navigate to the Admin page from the navigation menu.
  2. Under Hotel Settings, enter your hotel's details including name, address, and category.
  3. If you have a Booking.com ID, enter it to enable automatic data collection.
  4. Important: It is mandatory to map a hotel to your user account for the system to function properly. This mapping allows the system to know which hotel's data to work with.
  5. If you don't have a hotel assigned to your account, contact an administrator to set up this mapping.
  6. Save your settings to complete the configuration.

Select relevant competitors for price comparison:

  1. Go to the Admin page and find the Competitor Management section.
  2. Use the Find Competitors tool to search for hotels in your area. The system will search for hotels within a 5 KM radius based on your hotel's zip code and country.
  3. Mark hotels as direct competitors by clicking the toggle button.
  4. Only hotels marked as direct competitors will be included in your pricing analysis.
  5. Important: Mapping competitors is essential for the ML prediction system to function properly. Without properly mapped competitors, the system cannot collect competitor offers, which are necessary for generating accurate price recommendations.
  6. For best results, map at least 3-5 competitors that are similar to your hotel in terms of location, category, and amenities.
  7. The system will automatically collect offers from these competitors for the next 30 days and use this data to train the ML model.

Core Features

The Dashboard provides an overview of your hotel's pricing and competitor analysis:

  • Price Comparison Chart: Shows your rates compared to competitor averages.
  • Revenue Forecast: Displays projected revenue based on current rates.
  • Occupancy Metrics: Helps track room availability and booking trends.
  • Quick Actions: Provides shortcuts to common tasks like updating rates.

Monitor your competitors' rates and pricing strategies:

  • Rate Calendar: View competitor rates by date.
  • Price Trends: Analyze how competitor prices change over time.
  • Filtering: Focus on specific competitors or date ranges.
  • Export: Download data for offline analysis.

Update and manage your hotel's rates:

  1. Navigate to the Update Rates page.
  2. View recommended rates based on competitor analysis and ML predictions.
  3. Set the occupancy percentage to adjust suggested rates automatically.
  4. Adjust rates manually if needed.
  5. Save changes to update your pricing strategy.

Occupancy-Based Rate Adjustment:

The system automatically adjusts suggested rates based on your hotel's occupancy level:

  • Low Occupancy (0-40%): Reduces suggested rates by 10% to attract more bookings.
  • Medium Occupancy (40-70%): No adjustment to suggested rates.
  • High Occupancy (Above 70%): Increases suggested rates by 12.5% to maximize revenue.

You can set occupancy levels globally or for individual dates and room categories.

Daily Occupancy Overrides:

You can set occupancy values for specific dates. These daily overrides take priority over the global occupancy setting when predictions are generated, allowing for more accurate rate suggestions on dates where you already know the expected occupancy.

Generate price predictions for future dates:

  1. Go to the Run Prediction page.
  2. Set your target revenue for the prediction period.
  3. Set the occupancy percentage to adjust suggested rates automatically.
  4. Adjust the prediction weights to fine-tune results (see below).
  5. Select the date range for predictions (default: next 30 days).
  6. Run the prediction to generate recommended rates.
  7. Review and apply the suggested rates as needed.

Prediction Weights:

You can fine-tune how the prediction engine calculates suggested rates by adjusting three weights:

  • Competitor Weight (default: 8): How strongly competitor pricing influences the suggested rate. Higher values make the recommendation follow competitor rates more closely.
  • Occupancy Weight (default: 2): How much occupancy levels affect the suggested rate. Higher values give more importance to demand-based adjustments.
  • Revenue Weight (default: 0.5): How much your revenue target influences the suggested rate. Higher values push rates towards meeting your revenue goals.

Automated Daily Predictions:

Predictions are also run automatically every day at 2:00 AM for all hotels. The automated run generates base predictions and room category recommendations, so you don't need to press "Run Prediction" manually each day.

The same occupancy-based rate adjustment rules apply when running predictions:

  • Low Occupancy (0-40%): Reduces suggested rates by 10%
  • Medium Occupancy (40-70%): No adjustment
  • High Occupancy (Above 70%): Increases suggested rates by 12.5%

Advanced Settings

Set and manage monthly revenue targets:

  1. Go to the Admin page and find the Revenue Targets section.
  2. Enter your target revenue for each month.
  3. These targets will guide the prediction engine in recommending optimal rates.
  4. Adjust targets as needed based on seasonality and business goals.

Create and manage different room types with custom surcharges:

  1. Navigate to the Admin page and find the Room Categories section.
  2. Add new room categories by specifying the name, number of rooms, and surcharge percentage.
  3. The system will automatically calculate recommended rates for each room category based on the base rate and surcharge percentage.
  4. Edit or delete room categories as needed.

Manage API access for integration with other systems:

  1. Go to the API Keys page from the Admin section.
  2. Create new API keys by providing a name for the key.
  3. Use these keys to authenticate API requests from external systems.
  4. Revoke keys that are no longer needed for security.

Frequently Asked Questions

Our pricing algorithm combines several factors:

  • Competitor pricing data collected from Booking.com API
  • Historical pricing patterns and seasonality
  • Your hotel's revenue targets
  • Machine learning models trained on market data

The system filters competitor rates to ensure only comparable offers (standard rooms, refundable rates) are included in the analysis.

Competitor data is collected daily from Booking.com through our automated data collection pipeline. The system collects rates from your mapped competitors for the next 30 days. Predictions and room category recommendations are also regenerated automatically every day at 2:00 AM.

The occupancy-based rate adjustment automatically modifies suggested rates based on your current occupancy level:

  • Low Occupancy (0-40%): When occupancy is low, the system reduces suggested rates by 10% to help attract more bookings and increase occupancy.
  • Medium Occupancy (40-70%): At moderate occupancy levels, no adjustment is made to the suggested rates as they are considered optimal.
  • High Occupancy (Above 70%): When occupancy is high, the system increases suggested rates by 12.5% to maximize revenue since demand is strong.

You can set occupancy levels globally for all dates, or individually for specific dates and room categories. This feature helps you balance between maximizing occupancy and maximizing revenue based on current demand.

If a recommended rate seems inappropriate:

  1. Check the competitor data to understand what's driving the recommendation
  2. Consider adjusting your revenue targets if they're pushing rates too high
  3. Try adjusting the occupancy percentage to see if that brings rates into a more appropriate range
  4. Manually override the rate if needed using the Update Rates page
  5. Contact support if you believe there's an issue with the prediction engine

To cancel your subscription:

  1. Log in to your account
  2. Navigate to the Admin page
  3. Scroll down to the Subscription Settings section
  4. Click on the Cancel Subscription button
  5. Confirm your cancellation in the dialog box that appears

Please note that cancellation will take effect at the end of your current billing period. You will still have access to all features until that date. If you have any issues with cancellation, please contact our support team.

Support Tickets

If you have other problems or question create your support ticket here: