Hotel receptionist with WhatsApp, Gemini model-switching, Redis & Google Sheets
n8n · Customer service, Founders & operators · checked 2026-11-01
Overview This project is an AI-powered hotel receptionist built using n8n , designed to handle guest queries automatically through WhatsApp . It integrates Google Gemini , Redis , MySQL , and Google Sheets via LangChain to create an intelligent conversational system that understands and answers booking-related questions in real time. A standout feature of this workflow is its AI model-switching system — it dynamically assigns users to different Gemini models, balancing traffic, improving performance, and reducing API costs. --- How It Works WhatsApp Trigger The workflow starts when a hotel guest sends a message through WhatsApp. The system captures the message text , contact details , and session information for further processing. Redis-Based Model Management - The workflow checks Redis for a saved record of the user’s previously assigned AI model. - If no record exists, a Model Decider node assigns a new model (e.g., Gemini 1 or Gemini 2). - Redis then stores this model assignment for an hour, ensuring consistent routing and controlled traffic distribution. Model Selector The
At a glance
- Brand
- n8n
- Jobs
- Customer service, Founders & operators
- Sources
- 1
Dimensions
- Brands: n8n
- Agents: n8n · Visit via /go/
- Occupations: Customer serviceFounders & operators
- Industries: hospitalitycross-industry
- Tasks: inbox, scheduling, ops
Sources
- https://n8n.io/workflows/10214 · fetched 2026-11-01 — “Overview This project is an AI-powered hotel receptionist built using n8n , designed to handle guest queries automatically through WhatsApp . It integrates Google Gemini , Redis , ”
Last checked 2026-11-01. Description source: n8n-api.