Automate Hotel Concierge on WhatsApp with Google Sheets

Streamline Hotel Concierge Services on WhatsApp with Google Sheets Automation

Enhance your hotel's guest experience by seamlessly integrating WhatsApp concierge services with Google Sheets using our n8n workflow. Forget about manual lookups and busywork. Automate the entire process and keep your guests delighted with timely, accurate responses.

What this workflow does:

This powerful n8n workflow transforms your hotel's concierge services by automatically managing guest interactions via WhatsApp and integrating them with Google Sheets. Here's how it works:

• Trigger: The workflow activates when a WhatsApp message is received, provided it contains text.
• Guest Lookup: It searches for the guest by their WhatsApp number in a Google Sheets “Guest Details” spreadsheet and verifies if Do Not Disturb (DND) mode is active.
• Data Retrieval: If DND is not enabled, the workflow fetches the guest's reservation details and any outstanding service requests from Google Sheets.
• Contextual Analysis: It determines if the guest is new, currently checked in, or has any pending requests, and compiles this information for assistance.
• Intelligent Response: Employing Google Gemini with Redis memory, it creates a ready-to-send WhatsApp reply, consulting a Google Docs amenities document for any policy or pricing queries.
• Data Management: Appropriately, the assistant updates or creates entries in Google Sheets concerning guest profiles, reservations, or service requests, then communicates back to the guest on WhatsApp.
• Dynamic Reservation Update: When a reservation entry is modified or added in the Reservations sheet, it automatically syncs with the "Masked Reservations" Google Sheets.

Use cases:

• Enhance Guest Communication: Respond to guest inquiries instantly, providing real-time assistance with queries on amenities, reservations, and service requests.
• Efficient Service Management: Automate the update and management of guest reservations and requests without manual effort.
• Personalized Engagement: Offer a personalized and efficient service experience by utilizing past guest data to tailor responses and offers.

Technical details:

• Integrations/Nodes Used:
• WhatsApp
• Google Sheets
• Google Docs Tool
• Google Gemini with Redis Memory
• n8nn8n-nodes-langchainagent
• Conditional Logic: "if" and "code" nodes for executing workflow logic based on guest data and message content.