Automate Guest Check-In and Eliminate Front Desk Queues

Boutique hotels often use a PMS like Cloudbeds or Mews, which are great for managing reservations but offer limited check-in automation. Their pre-arrival features are typically just email templates. They do not include the logic to actually read a driver's license, compare it to a selfie for fraud prevention, or flag an expired passport. This leaves the highest-friction work for your front desk staff.

Consider a 25-room hotel on a Saturday afternoon. One staff member is managing the desk. Three parties arrive at once. The first guest's reservation from Expedia has a data sync issue. While the staff member manually types in their information from a passport, the phone rings with a question about parking. The other two parties are now waiting over 5 minutes, creating a poor first impression that no amount of beautiful decor can erase.

Third-party check-in apps like Duve or Canary attempt to solve this, but they create a different problem. They impose a generic, one-size-fits-all workflow that disrupts a boutique hotel's curated brand experience. They often come with per-booking or per-user fees that add up, and you cannot customize the core logic. You are renting a feature, not owning a process that is critical to your guest experience.

The structural issue is that these tools are not built to be the central nervous system for your hotel's specific guest journey. Your PMS is a database, and third-party apps are rigid add-ons. Neither can orchestrate a truly custom workflow that integrates your brand's unique welcome messaging, concierge upsells, and smart lock system into a single, cohesive pre-arrival sequence.

The first step would be a technical audit of your existing PMS and reservation channels. Syntora would map the entire guest journey from booking confirmation to room entry. We would identify the exact data fields needed for check-in and how your PMS API can be accessed. This discovery phase produces a clear architecture document and a fixed-price proposal for your approval before any build starts.

The core of the system would be a FastAPI service hosted on AWS Lambda, providing a secure, low-cost, and event-driven architecture. When a guest uploads their ID and a selfie via a custom-branded web link sent after booking, the Claude API would perform vision analysis to extract data and confirm the document's validity. The system could compare the ID photo to the selfie as a basic verification step. This approach is built from scratch for your workflow.

The delivered system would be an automated data pipeline. It would update the guest's record in your PMS with a 'Verified' status and all required information, typically in under 30 seconds. The system could also trigger a pre-arrival welcome message via your communications platform or integrate with a smart lock provider to issue a mobile key code. You receive the full source code, documentation, and a runbook detailing how to manage the system.