Automated AI concierge: instant generation of tour packages and HT
Development of a full-cycle system for travel companies that automates the process of selecting complex tours. The AI independently searches for the best options for flights, hotels, and entertainment, forming a ready commercial proposal in just a few seconds.
Key advantages of implementation:
1. Parallel data processing (Multi-Stream Search) Thanks to n8n, the system simultaneously initiates searches in three directions: airline tickets, accommodation, and local events. This reduces the client's waiting time from 2 hours (manager's work) to 60 seconds.
2. Automatic generation of professional HTML offers The system aggregates the found data and automatically formats a stylish, responsive HTML letter. The client receives not just text in their email, but a full presentation of their vacation with photos, prices, and descriptions.
3. Use of AI for personalization The AI agent analyzes complex requests (for example: "I want something calm, but by the water, budget up to $2000") and selects only those options that 100% match the emotional and financial request of the client.
4. Integration with real data (Live API) The system operates through HTTP requests to search aggregators, ensuring the relevance of prices and availability at the moment of proposal formation.
Conclusion: This case demonstrates the possibility of scaling the travel business without increasing staff. One such assistant can handle hundreds of requests per day, providing instant responses to each client.
Key advantages of implementation:
1. Parallel data processing (Multi-Stream Search) Thanks to n8n, the system simultaneously initiates searches in three directions: airline tickets, accommodation, and local events. This reduces the client's waiting time from 2 hours (manager's work) to 60 seconds.
2. Automatic generation of professional HTML offers The system aggregates the found data and automatically formats a stylish, responsive HTML letter. The client receives not just text in their email, but a full presentation of their vacation with photos, prices, and descriptions.
3. Use of AI for personalization The AI agent analyzes complex requests (for example: "I want something calm, but by the water, budget up to $2000") and selects only those options that 100% match the emotional and financial request of the client.
4. Integration with real data (Live API) The system operates through HTTP requests to search aggregators, ensuring the relevance of prices and availability at the moment of proposal formation.
Conclusion: This case demonstrates the possibility of scaling the travel business without increasing staff. One such assistant can handle hundreds of requests per day, providing instant responses to each client.