Monitor hotel competitor rates and answer WhatsApp Q&A using OpenAI GPT-4.1

How It Works

Top Branch Workflow A

1. The Market Intelligence:

• Patrols the Market: Runs hourly to scrape competitor rates for future days.
• Gathers Intel: If prices spike, it instantly checks event announcements to see if a major event is driving demand.
• Crunches Numbers: Calculates the exact price gap and filters out noise.

2. The Revenue Manager:

• Sets Strategy: The AI Agent reviews the price gaps, competitor moves, and event signals.
• Reports: Writes a strategic Executive Summary and sends it to your WhatsApp.

Bottom Branch Workflow B

3. The Consultant:

• Recall: When you ask a question via WhatsApp, the bot retrieves the saved analysis, historical rates, and event schedule.
• Answer: It acts as an on-demand analyst, conducting further analysis to give an informed answer to questions

Setup Steps

1. Config: Add your hotel + competitor hotels (IDs/names) in the Config node.

2. Monitor Window: Set how far ahead you want to monitor (e.g., daysAhead = 30) in the Config node.

3. Sensitivity: Set how sensitive alerts should be (e.g., alert only if competitor moves > 10%) in the Significant Competitor Change node.

4. Connect Credentials:

• Amadeus (to fetch hotel prices)
• WhatsApp (to send alerts)
• Postgres/SQL (to store price snapshots, history, summary)
• OpenAI (for the AI Agents)

5. Event Source: Update the Fetch VCC nodes to scrape your local convention center or event site.

6. Run a test:

Trigger Workflow A manually and confirm you receive a WhatsApp alert.

Reply to that WhatsApp message to test Workflow B (Q&A).

Use Cases & Benefits

For Revenue Managers: Automate the "rate shop" routine and catch competitor moves without opening a spreadsheet.

For Sales & Marketing Teams: Go beyond raw data. Pairing "what changed" with "why changed" instantly.

For Hotel Leadership: Perfect for GMs and division leaders who need instant, decision-ready alerts via WhatsApp.

⚡ Zero-Touch Efficiency: Eliminates hours of manual searching by automating rate checks 3x daily. 🧠 Contextual Intelligence: Tracks price AND explains why it moved by cross-referencing local events. 🤖 Actionable Strategy: AI doesn't just report numbers; it recommends specific pricing tactics. 📉 Long-Term Vision: Builds a permanent database of rate history, enabling the AI to answer complex trend questions over time.

📬 Want to Customize This?

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