Build Production-Grade Automation For Your Hotel
Yes, you can replace task-based hotel automations with custom Python code. This gives you direct control over business-critical workflows like booking and guest communication.
Syntora designs and builds custom Python automation systems to replace existing integrations for hotels. Our approach focuses on giving clients direct control over critical workflows like booking and guest communication, using reliable architectures like FastAPI and AWS Lambda.
The build's complexity depends on your specific systems and the degree of integration required. Connecting a modern PMS like Mews with a single messaging API is a more straightforward process. Integrating a legacy reservation system with multiple channel managers and a separate guest database will require more initial discovery.
What Problem Does This Solve?
Hotels often start with point-and-click tools to connect their booking engine to a PMS. This works for simple notifications. But when a workflow must confirm payment in Stripe, check loyalty status in the PMS, and then send a custom welcome text via Twilio, it becomes fragile. Each step is a separate task, and the per-task pricing model becomes expensive.
A 40-room hotel used a popular automation platform to sync their channel manager with their PMS. The 4-step workflow (New Booking -> Find Guest -> Update PMS -> Confirm) ran for every new reservation, about 25 per day. This resulted in 100 tasks daily, hitting a 3,000 task/month limit and forcing an upgrade to a $350/month plan. More importantly, if the PMS API call failed due to a network blip, the task would just error out. The front desk would only discover the missing reservation when the guest checked in.
These platforms are fundamentally stateless. They cannot easily manage complex logic like "try updating the PMS three times over 5 minutes, and if it still fails, email the front desk manager and add the guest to a manual review list." They lack persistent storage and custom retry logic, which are requirements for any process that handles revenue-critical data like hotel bookings.
How Would Syntora Approach This?
Syntora would start by auditing your existing hotel automation workflows and systems. This discovery phase helps us map every required API endpoint, from your Property Management System (PMS) like Cloudbeds or Mews, to your communication tools such as Twilio or Postmark.
We would use the httpx library in Python to build asynchronous clients for each service. This design allows the system to make multiple API calls concurrently, for example, verifying a payment with Stripe while simultaneously checking room availability.
The core logic would be built as a FastAPI service. For guest communication, we have experience using the Claude API in similar document processing pipelines (for financial documents) and the same pattern applies here. We would integrate it to draft personalized pre-arrival messages or answer common questions based on booking details.
Every transaction, successful or failed, would be written to a structured log in a Supabase Postgres database using structlog. This provides a complete audit trail, offering more detail than the simple run history in no-code tools. A typical engagement for a standard booking confirmation workflow would involve a build cycle of approximately 4-6 weeks, following initial discovery.
The FastAPI application would be deployed as a serverless function on AWS Lambda. This architecture is designed for cost efficiency, often running for less than $30 per month for many hotel operations, compared to typical SaaS automation platform fees. We would configure CloudWatch alerts to send a Slack message to your operations team if the error rate exceeds 1% over a 5-minute window, ensuring immediate visibility into any issues.
What Are the Key Benefits?
Go Live in Four Weeks
From our first call to a deployed production system in 20 business days. Your front desk sees the benefits immediately, not after a long implementation cycle.
Pay for Hosting, Not Per Task
Your costs are for AWS Lambda and Supabase usage, typically under $30/month. No per-task or per-user fees that penalize you for growing.
You Get The Full Source Code
You receive the complete Python project in a private GitHub repository. You are not locked into a platform and can have any developer extend the system.
Alerts Before Your Guests Notice
We build monitoring with AWS CloudWatch and Slack notifications. If your PMS API is down, you get an alert instantly, before a guest arrives for an unsynced booking.
Connects Directly to Your PMS
Native API integrations with platforms like Mews, Cloudbeds, and SiteMinder. No intermediate services that add points of failure to your booking process.
What Does the Process Look Like?
System Discovery (Week 1)
You provide API credentials and documentation for your PMS and other tools. We build a technical plan and a sequence diagram of the entire workflow for your approval.
Core Logic Development (Weeks 2-3)
We write the Python code for the core automation, including API integrations and error handling. You receive access to a staging environment to test the workflow with sample data.
Deployment & Live Testing (Week 4)
We deploy the system to AWS Lambda and switch it on for a small percentage of live bookings. You receive the GitHub repository and initial runbook documentation.
Monitoring & Handoff (Weeks 5-8)
We actively monitor system performance and error rates for 30 days post-launch. After this period, we transition to a monthly support plan or hand off operations completely.
Frequently Asked Questions
- How much does a custom automation project cost?
- Pricing is scoped per project based on the number of systems to integrate and the complexity of the business logic. A simple booking confirmation workflow is less complex than a full guest lifecycle automation. We provide a fixed-price proposal after a 30-minute discovery call where we map out your exact requirements.
- What happens if our PMS provider changes their API?
- This is a common issue. Our monthly support plan includes proactive maintenance for API changes. We build the system with isolated API client modules, so updating an endpoint for your PMS is a small, targeted change. We aim to deploy updates within 48 hours of an API change announcement from your provider.
- How is this better than hiring an in-house developer?
- An in-house developer is a great long-term solution. Syntora is for hotels that need production systems built now, without the 3-6 month process of hiring, onboarding, and training an engineer. We deliver a complete, documented, and monitored system in weeks. You can then hand this system over to a future hire.
- Can this automation handle guest-facing conversations?
- Yes. We use the Claude API to power conversational AI for tasks like answering pre-arrival questions via SMS or handling basic concierge requests. The AI is given specific context from your PMS, like the guest's name and booking dates, to provide accurate, personalized responses. This is not a generic chatbot.
- What if a booking fails to sync in the middle of the night?
- The system uses an exponential backoff retry strategy. It will attempt to sync the booking multiple times over a 15-minute period. If it continues to fail, it logs the complete payload to a "dead-letter queue" and sends an urgent alert to a designated email and Slack channel. Your morning staff will have a clear record of what failed and why.
- We use a very old, on-premise PMS. Can you still integrate with it?
- It depends. If the PMS has a documented API, even a dated SOAP or XML-RPC one, integration is possible. If it has no API but can export data on a schedule (e.g., a CSV to an FTP server), we can build a system that polls for those files. If it has no data export or API capabilities at all, custom automation is not feasible. We determine this on our discovery call.
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