AirGuru: AI Travel Agent

Client Overview

AirGuru is a prominent Lithuanian travel agency specializing in leisure and exotic vacation packages. With a rapidly growing online presence and an extensive catalog of travel offerings, AirGuru sought to modernize their customer engagement strategy and create more efficient sales channels to meet increasing market demand.

Challenge

AirGuru faced several key challenges in their business operations:

• Rapidly changing inventory: Their website featured 70-120 offers at any given time, with pricing and availability changing frequently
• Customer response delays: Manual process of responding to inquiries led to lost sales opportunities
• Scaling limitations: Human agents couldn't efficiently handle inquiry volume during peak periods
• Data management complexity: Tracking available offers, dates, and prices created bottlenecks
• Customer engagement gaps: Potential customers often abandoned inquiries without timely, personalized responses

System Architecture

Detailed workflow diagram of the AirGuru scraping and data processing pipeline

Key Components

Results & Impact

Lessons Learned

The AirGuru project revealed several valuable insights about AI-powered customer engagement:

• Response speed matters: The dramatic reduction in response time directly correlated with higher conversion rates
• Multiple options drive conversions: Offering 5 date/price combinations significantly increased booking likelihood
• Data freshness is critical: Travel information becomes outdated quickly, requiring sophisticated scraping logic
• Format affects perception: HTML-formatted emails with consistent branding improved customer trust
• Modular architecture enables growth: The system's scalable design allowed for easy expansion as demand increased