AI D​A​M​N/Fliggy AI Launches Double 11 Shopping Assistant

Fliggy AI Launches Double 11 Shopping Assistant

Fliggy AI Introduces Shopping Assistant for Double 11

As China's Double 11 shopping festival approaches, consumers face the annual challenge of navigating countless promotions. To address this, Fliggy AI has launched its Double 11 Product Selection Assistant, designed to help users efficiently find travel-related deals during the sales frenzy.

How the Assistant Works

The intelligent tool provides personalized recommendations for flight tickets, hotel packages, and other promotional travel products. Users simply ask questions like "Recommend no-extra-charge weekend hotel packages", and the assistant filters suitable options.

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Recent recommendations have included:

  • Junlan Hotel's national 50+ stores package
  • Junting Hotel Group's multi-store package
  • Wuta Xin She's regional travel packages

Notably, these packages cover weekends and major holidays without surcharges.

Advanced Capabilities

The assistant goes beyond basic filtering to:

  • Understand specific destination/brand requests
  • Answer detailed product questions like a professional salesperson
  • Provide analytical comparisons of options

"The uniqueness of travel products creates high decision-making barriers," explains a Fliggy representative. "Our assistant simplifies this process through AI-powered intuitive selection."

Transaction Integration

Since its initial launch, Fliggy's "Ask Me" feature has included transactional capabilities allowing users to:

  1. Get real-time quotes
  2. Receive travel tips
  3. Directly book flights/hotels

This integration significantly enhances the shopping experience by reducing steps between discovery and purchase.

Key Points:

  • Launched ahead of China's biggest shopping event (Double 11)
  • Uses natural language processing to understand travel needs
  • Provides detailed comparisons of complex travel packages
  • Integrated booking functionality streamlines purchases
  • Addresses information overload during peak sales periods