Monitor hourly competitor rates, cross-check event signals, generate executive summaries, and answer WhatsApp Q&A automatically.
The AI Agent continuously monitors competitor hotel rates and stores snapshots for the future. It analyzes price movements and cross-references local events to explain spikes. It compiles an executive summary and sends insights directly to WhatsApp for fast decision-making.
On-demand analytics and proactive alerts via WhatsApp.
Monitor competitors' rates hourly to capture dynamic changes.
Cross-reference local events to explain price movements.
Calculate price gaps and filter noise to show meaningful gaps.
Generate executive summaries for leadership and stakeholders.
Deliver WhatsApp alerts with actionable insights.
Store price snapshots and histories for long-term trend analysis.
Before → manual rate shopping, data silos, delayed alerts, lack of event context, and no historical trend view. After → automated hourly checks, integrated event signals, instant WhatsApp alerts with context, clear pricing insights, and a comprehensive rate history for trend analysis.
A simple 3-step flow that turns data into actionable alerts and insights.
Patrols the market hourly, scraping competitor rates for future dates and checking event announcements to spot demand drivers.
The AI Agent analyzes price gaps, competitor moves, and event signals, then compiles an executive summary for leadership.
When you ask questions via WhatsApp, the agent retrieves saved analysis and provides informed, real-time answers.
One realistic scenario.
Scenario: A revenue manager asks via WhatsApp why next 14 days show a price spike. The AI Agent, after its hourly patrol, detects a 8% increase tied to an upcoming local convention. It explains the spike with event signals, generates an executive summary, and delivers a WhatsApp alert with recommended pricing actions. Time: 15 minutes to receipt of alert. Outcome: Leadership receives a clear rationale and a concrete pricing adjustment plan.
This AI agent serves multiple roles across hotel teams.
Automates rate shopping and surfaces competitor moves with context.
Explains what changed and why, aiding campaign decisions.
Delivers timely, decision-ready insights via WhatsApp.
Helps build a data-backed long-term pricing strategy.
Maintains rate history and supports trend analysis.
Ensures pricing aligns with occupancy goals and constraints.
Connects to pricing, messaging, and storage platforms to automate workflows.
Fetches hotel prices to populate rate data.
Delivers alerts and Q&A responses to users.
Stores price snapshots, history, and summaries for analytics.
Poweres the AI Agent's analysis, summaries, and Q&A responses.
Practical scenarios where the AI agent shines.
Practical questions and detailed answers.
No. The AI Agent is configured through a guided setup: connect your hotel and competitors, define monitoring windows and thresholds, and connect credentials (Amadeus, WhatsApp, Postgres/SQL, OpenAI). The process is designed to be non-technical and repeatable. You can trigger setup steps and test workflows to validate data flows. Ongoing adjustments can be made through configuration nodes without code changes.
Yes. The AI agent supports multi-hotel scenarios with separate rate data and event signals per hotel. Data is isolated by hotel, and you can add or remove hotels in the configuration at any time. It compiles consolidated leadership summaries while preserving individual market context. You can scale monitoring windows for each property as needed.
It pulls competitive rates from Amadeus, checks local event feeds, stores snapshots in Postgres/SQL, and uses WhatsApp for delivery. OpenAI powers the AI reasoning and Q&A. Data sources are configurable, and you can replace or augment them within the integration layer. Data is retained for trend analysis and auditability.
Alerts are generated as soon as significant changes are detected within the configured monitoring window. The system uses hourly checks and event signals to determine when to notify. WhatsApp delivers alerts immediately to the designated recipients with a concise summary and context. You’ll receive updated insights as soon as data becomes available.
Yes. The agent retrieves saved analyses and uses OpenAI to perform on-demand analysis, providing informed responses. Q&A sessions are designed to be fast and context-aware, with citations to recent data where relevant. You can ask follow-up questions to drill into drivers behind price changes.
Data is isolated by property and encrypted in transit. Access is controlled through standard security practices, and credentials are stored securely in the integration layer. You can audit data flows and retention policies. Sensitive information is handled with role-based access and minimal exposure in messages.
Yes. Thresholds for significant competitor changes, event impact, and monitoring windows are configurable in the setup. You can adjust sensitivity to balance alert volume with actionable relevance. Changes apply after a brief validation period and do not require code changes.
Monitor hourly competitor rates, cross-check event signals, generate executive summaries, and answer WhatsApp Q&A automatically.