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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.