飞猪推出旅行AI助手“飞猪帮帮”：完成从“聊得好”到“办成事”的升级

This article highlights Fliggy's launch of its new-generation travel AI product, Fliggy Assistant, which marks an upgrade from "conversational capability" to "end-to-end task completion". The product delivers highly practical full-journey AI travel services for general users.

1. It features three core functional modules: Trip Planner generates custom itineraries based on vague user需求, can create tailored plans directly from copied travel guide links, and supports multiple rounds of adjustment. Booking Assistant fulfills personalized booking needs by filtering products matching user descriptions and enabling combined purchase of different ticket types in one transaction. Service Assistant handles end-to-end routine tasks including check-in and seat selection, ticket changes, room upgrades, and arrival card filling.

2. Key user experience advantages: The AI can be invoked anytime across multiple locations in the app, allowing users to complete all operations in one stop without page redirection. It supports natural language search, eliminating the need for users to piece together exact keywords. Compared to the previous generation, the availability of valid results has improved by over 70%, while average processing time has dropped by nearly 10%, delivering a smoother, more reliable experience.

Fliggy's latest AI upgrade offers new insights into consumer trends and AI empowerment directions for travel industry brands, with key takeaways as follows:

1. Shifting consumer trends: Consumers today increasingly prefer personalized, one-stop full-journey travel services, and are no longer satisfied with fragmented information and booking services. They require AI that can address vague personalized demands and complete end-to-end fulfillment directly. Brand product development and marketing need to align with this trend.

2. New practices in AI-enabled merchant support: As part of its AI ecosystem layout, Fliggy opened free access to its AI-powered smart assistant for hotel merchants in May this year, solving the pain point of massive labor consumption for managing pricing, inventory and marketing. Test data shows that after using AI diagnostics, hotels adopt over 80% of AI-generated recommendations, effectively cutting operating costs.

3. Reference for brand upgrading: Fliggy proposes that OTAs should evolve from online travel agencies to fully intelligent travel agents—a positioning that provides strategic direction for industry brands' own upgrading.

Fliggy's AI upgrade brings new growth opportunities and support for travel sellers on its platform, with key takeaways as follows:

1. Platform support policies: Fliggy has positioned AI-enabled ecosystem development as its core strategic focus, and opened free access to its AI smart assistant for hotel merchants in May this year. The tool helps sellers handle tedious daily operations including price monitoring, inventory tracking, marketing management and settlement to cut labor costs, while also providing data-backed business decision recommendations. Tests confirmed the effectiveness of the tool, with merchants adopting over 80% of AI-generated suggestions.

2. New traffic opportunities: Fliggy Assistant's AI search can accommodate users' vague personalized demands—for example, "find a hotel with a view of the Forbidden City's golden roof". The AI automatically matches user需求 to available inventory, helping sellers' specialty products reach targeted users more effectively and unlock more conversion opportunities.

3. Opportunity note: Sellers are advised to integrate Fliggy's AI capabilities as early as possible to build their own AI-enabled assets, capitalize on the platform's AI upgrade to expand growth, and adapt to the new AI-driven traffic rules.

Fliggy's AI upgrading practice provides demand direction and digital transformation inspiration for factories across the travel industry chain, with key takeaways as follows:

1. Changing product development and design需求: Consumer demand is growing increasingly personalized and scenario-driven. Users now tend to put forward vague scenario-based需求 rather than seeking standardized products—for example, accommodation with a specific view, or custom itineraries. This requires upstream producers and designers to make flexible adjustments, increase the supply of personalized products, and adapt to the new demand structure matched by AI.

2. New business opportunities: AI is driving end-to-end digital upgrading of the travel industry. Upstream supply chain factories can access the AI system of large platforms like Fliggy, standardize their product information as AI-callable assets, gain more opportunities to reach targeted users, and expand sales channels.

3. Insights for digital transformation: Fliggy's upgrading path shows that general-purpose large models cannot directly meet vertical industry需求, and require vertical post-training and adaptation combined with proprietary business assets. When advancing digital and e-commerce upgrading, factories also need to refine capabilities based on their own business scenarios, rather than directly applying generic one-size-fits-all solutions.

This article reveals industry trends, core customer pain points and reference solutions for the AI travel service sector, with key takeaways as follows:

1. Industry development trends: Travel AI has already gone through two phases—single-point information service and end-to-end trip planning companionship—and has now officially entered the full-journey fulfillment service phase. OTAs' core positioning is also shifting from online travel agency to fully intelligent travel agent, with end-to-end AI-powered task completion set as the core development direction going forward.

2. Core current industry pain points: For end consumers, the main pain point is the lack of AI services that can meet personalized需求 and directly handle full-process tasks, leading to low efficiency from repeated page redirection. For B-end merchants, the core pain point is that routine work including price monitoring, inventory management and marketing consumes large amounts of labor, creating demand for AI to free up human capacity.

3. Reference solution: Fliggy adopts a Multi-Agent architecture to embed AI across the full service workflow, integrates natural language and graphical interfaces, and builds a real-time training environment alongside a result verification and error correction system, which effectively improves the availability of valid results. This implementation path provides a reference for travel service providers.

The upgrading practice of Fliggy's new-generation travel AI provides references for product upgrading, operation management and merchant recruitment for travel platform operators, with key takeaways as follows:

1. New demands from users and merchants for platforms: On the user side, there is growing demand for end-to-end integrated AI services that can actually complete tasks, rather than only providing information links. On the merchant side, there is demand for platforms to open up AI capabilities to help cut operating costs and build their own digital assets.

2. Reference practices for platform product upgrading: Instead of tucking AI away in a corner of the homepage as a standalone chatbot, platforms should embed AI across the full service workflow, making it accessible on search, itinerary, order and other multiple pages to deliver one-stop service. Platforms also need to conduct post-training of models for vertical scenarios, and build a result verification and error correction system to ensure output reliability.

3. Insights for platform operation and merchant recruitment: Platforms can attract merchant入驻 and improve merchant retention and operational efficiency by opening AI smart assistants to merchants for free. Building AI布局 around the three pillars of user experience, ecosystem prosperity and organizational restructuring also helps platforms build core competitiveness and avoid the risk of poor implementation of general AI.

Fliggy's AI upgrading practice introduced in this article reflects new industry trends and business model explorations in the AI transformation of the online travel industry, offering high reference value for researchers, with key takeaways as follows:

1. New industry trends: The OTA industry is undergoing core transformation in the AI era, with traditional online travel agencies shifting to become fully intelligent travel agents. The development path of AI applications is clear: starting with single-point information efficiency improvement, moving to full-journey planning companionship, and now progressing to full-journey fulfillment. Fliggy has clearly defined its AI布局 around three core goals: improving user experience, growing the ecosystem, and restructuring the organization.

2. Exploration of new business models: Fliggy Assistant integrates natural language interfaces with graphical interfaces, embeds AI agents into the full service workflow, and leverages the platform's 10 years of accumulated supply chain capabilities to deliver end-to-end AI services from demand understanding to order fulfillment, forming a replicable implementation path for vertical industry AI.

3. New industry research questions: This article argues that the core test for travel AI implementation lies in whether it can directly connect to real inventory, interface with transaction systems, and respond to unexpected events in the physical world. It also summarizes three core capabilities accumulated by Fliggy, providing new research directions and real case data for industrial research.