Künstliche Intelligenz löst die Schmerzpunkte bei der Gruppenreisekooperation, und "Qilv" sucht eine Seed-Runde Finanzierung.

36Kr has learned that the startup project "TravelRoute", which enters the group travel market with the concept of "AI + collaboration", has officially launched and is seeking a seed - round financing of 5 million RMB. In this round of financing, 15% of the equity will be offered. The funds will be mainly used for the core team building, official product launch, and market expansion in the next 18 months.

Addressing Pain Points: The Dilemma of Group Travel under "Collaborative Entropy Increase"

In the trillion - level tourism market, a "collaboration barrier" has long troubled group travelers. Before the trip, there are diverse opinions during the planning process, making it difficult to reach a consensus; during the trip, accounts are in a mess, and information is not synchronized; after the trip, it is difficult to conduct a review, and the travel experience is greatly reduced. This kind of chaos and decline in experience caused by low collaborative efficiency is defined by Huang Zhipeng, the founder of TravelRoute, as "collaborative entropy increase" in group travel.

TravelRoute believes that this chaos directly restricts the team from conducting more in - depth and high - value consumption exploration at the destination, and it is one of the core bottlenecks restricting the upgrading of cultural and tourism consumption. Aiming at the core pain points of the industry, such as low collaborative efficiency, information asymmetry, and poor experience, TravelRoute uses its self - developed AI technology as the engine to build an "integrated collaborative command center" covering the entire process before, during, and after the trip, trying to initiate an efficiency revolution in group travel.

AI Empowerment: From "Information Aggregation" to "Intelligent Command"

Different from simple travel guides or accounting tools on the market, the core logic of TravelRoute is to transform disordered communication into a structured collaborative process, making AI the "intelligent general commander" of the team. Its technological barriers are composed of a self - developed AI scheduling framework, a unique structured Chinese travel knowledge graph, and a founding team with seamless closed - loop product and insight.

Technological Aspect: TravelRoute has self - developed a "multi - AI integration and scheduling framework". Through intelligent task deconstruction and model scheduling, it can enable existing large - scale AI models to exert greater potential in the vertical tourism field. At the same time, through users' UGC (User - Generated Content) and collaborative behaviors, the platform is building a unique and structured Chinese travel knowledge graph, which is the strategic cornerstone for training more powerful vertical models and empowering the industry in the future.

Product Aspect: The core is the original "shared interactive route". The AI planning engine can quickly generate professional travel guides according to the preferences of team members. Functions such as real - time discussion, voting decision - making, and intelligent shared ledger integrated on the platform can transform the complex chat records in WeChat groups into efficient, orderly, and traceable collaborative instructions, completely solving problems such as "whose opinion to follow" and "how to calculate the money".

The Blue Ocean Market of Generation Z and the "C2B" Business Path

It is predicted that by 2025, the share of group tourism in the global total tourism market is expected to reach 31%, doubling compared with 2023. Generation Z is becoming the main force in tourism consumption, and their demand for digital and social collaborative experiences provides a clear market entry point for TravelRoute.

TravelRoute has designed a clear business path from the C - end to the B - end:

First Stage (1 - 2 years): Build network effects. Launch unique social value - added services such as "travel buddy cards" to complete the initial verification of the business model.

Second Stage (after 3 years): Achieve industrial empowerment. Based on a large user base and data, start data services and precision marketing business for cultural and tourism enterprises such as hotels and scenic spots, becoming a bridge connecting users and the industry to create greater business value.

According to financial forecasts, with a monthly cost of about 750,000 RMB, the project is expected to achieve positive net cash flow around the 10th month. As the number of paying users increases from several hundred in the initial stage to 72,000 after 18 months, the monthly revenue is expected to increase from 15,000 to over 5 million RMB, showing a healthy profit model and growth potential.

The Founding Team and the Development Blueprint

The core team of TravelRoute has both technological and product insights. Huang Zhipeng, the founder, serves as the CEO and Chief Product Architect, leading the core architecture and MVP development of the product from scratch. Li Weihe, the co - founder, currently serves as the Chief Product Officer (CPO). With his professional background in tourism management, he is responsible for user research and experience design of the product.

Huang Zhipeng, the founder, said, "Our original intention for entrepreneurship stems from a real and common problem. We firmly believe that the greatest value of technology lies in solving the 'entropy increase' in the real world. TravelRoute is not just a travel APP. We hope it can become a part of the digital collaborative lifestyle of the new generation of young people."

One of the core goals of this round of financing is to recruit a top - notch CTO (Chief Technology Officer) to improve the core technology team. According to the development blueprint, the company plans to complete the recruitment of the CTO and officially launch the product within 6 months after the financing; achieve the accumulation of 200,000 core users within 12 months and start exploring the B - end data service model; establish a leading position in the regional market within 18 months and initiate the Series A financing.