How to use the Rate Change recommendations

Revenue Intelligence Powered by Signals offers real-time, AI-driven pricing suggestions to help you capture more revenue with less manual effort. This guide walks you through how to access, evaluate, and apply Rate Change Recommendations using the Opportunities tab, including where to review the explanation behind each recommendation.

Where to Find Rate Change Recommendations

You’ll find rate suggestions in the Opportunities tab, which is the main dashboard or "Home" page of the Revenue Intelligence portal.

Steps to access:

1. Open the Revenue Intelligence platform.
2. Look for the Rate Changes section on the right side of the Opportunities tab.
3. Each recommendation in the list displays:
   1. Date or Date Range: The date for which the rate change is recommended.
   2. Current Rate: Your property's current rate for that date.
   3. Recommended Rate: The rate suggested by Revenue Intelligence.
   4. Accept/Edit buttons: When you click on a particular day to see the rate recommendations you will see the option to accept or edit the recommendation.

How to Apply Rate Change Recommendations

Follow the steps below to review and apply a rate change recommendation for a specific date.

1. Select a date with a recommendation: In the Rate changes section, click on a specific date to open the recommendation details.
2. Review affected room types and rates: The list shows all room types included in the recommendation, with the current rate on the left and the suggested rate on the right.
3. Review the projected impact: Below the room list, you’ll see the expected impact of applying the recommendation. Example from the screenshot:
   • Revenue: £730 (+£499)
   • Occupancy: 35% (+30%)
   • ADR  (Average Daily Rate): £91 (-£140)
   • RevPAR (Revenue Per Available Room): £32 (+£22)
4. Review the AI explanation: A summary explains why the rate change is recommended. The AI explanation is generated per date and reflects market and demand conditions for that day. While rates are applied at the room-type level, the reasoning applies to the overall pricing decision for the selected date. 
   
   Click Edit to review more details or adjust rates before applying.
    
5. Apply the recommendation: Click Accept to apply the rate change for that date.

To apply all changes at once:

Click Accept all at the top of the Rate Changes section.

How to Understand the Reasoning Behind Suggestions

When you click Edit next to any rate change recommendation, a detailed modal window opens. This gives you insight into why Revenue Intelligence is suggesting a specific adjustment. Understanding these details helps you make confident pricing decisions that align with your property’s strategy.

The modal includes several tabs that provide different levels of detail:

• Opportunities: Shows a high-level, plain-language summary explaining why a rate change is recommended, along with projected impact and room-level actions.
• Explainability: Provides deeper analytical context behind the recommendation, helping you understand how different signals and trends influenced the pricing decision.
• Overview: A high-level snapshot of performance for the selected date, comparing on-the-books data with historical results.
• Rate Evolution: Visual trends showing how occupancy and revenue are expected to evolve over time, with and without the proposed rate change.
• Financials: A deeper breakdown of financial and occupancy metrics, including comparisons against last year and, if available, competitive benchmarks.

The Opportunities tab provides a detailed breakdown of Revenue Intelligence’ rate recommendation logic for the selected date. It allows you to analyze projected impacts and take action on suggested price changes per room type.

What you can do:

1. Review the AI explanation: At the top of the tab, you’ll see a plain-text summary explaining why the rate change is recommended.
   
   This explanation summarizes the most relevant signals driving the recommendation, including competitor pricing, holidays and events, pickup trends, pacing versus budget, and same point in time comparisons.
2. Evaluate forecast metrics: The metric cards show projected changes across four key indicators:
   • Revenue: Total projected income from the rate change (e.g., $7,402 → $8,861).
   • Occupancy: Percentage of rooms expected to be booked (e.g., 63% → 91%).
   • ADR (Average Daily Rate): Projected average revenue per occupied room (e.g., $121 → $101).
   • RevPAR (Revenue Per Available Room): Projected revenue per available room (e.g., $76 → $91).
3. Analyze forecast charts: Use the charts to compare outcomes with and without the rate change:
   • Forecast occupancy: Compare the forecast if the change is applied versus not applied.
   • Forecast revenue: Compare expected revenue outcomes with and without the rate change.
4. Select which room types to apply: Use the checkboxes to include specific room types in the recommendation. If no room types are selected, the recommendation will be applied to all listed room types by default.
5. Edit recommended rates (optional): Click into a rate field to adjust the suggested price before applying.
6. Apply or reset changes: Click Accept to apply the recommendation for the selected room types, or leave all checkboxes unchecked to apply it to all room types. Use Reset all to undo any edits and restore the original suggested rates.

AI explanations are dynamic and may change over time as new data becomes available. Updates to forecasts, pickup trends, competitor pricing, or market conditions can influence both the recommendation and its explanation.

FAQ

Why do I see the message “Our system is monitoring the market, stay tuned for more suggestions” in the Opportunities tab?

This message appears when there are currently no prioritized rate change opportunities to display.

It means that:

• Revenue Intelligence has evaluated demand, competitor pricing, and other market signals.
• No actionable pricing opportunities were identified at that moment.
• The system continues monitoring the market and will automatically surface opportunities when conditions change.