AI is not just about recommending routes, how Coinsidings distributes revenue using algorithms
In the world of Web2, AI appears more as a "service tool". For example, when you search for Paris hotels on Booking or Ctrip, AI will push you the most suitable options based on price, rating, and location; or on Tripadvisor, it will recommend attractions and dining based on your browsing behavior. These algorithms greatly improve User Experience, but ultimately, they only help the platform match transactions, and the real profits are still in the hands of the platform.
However, in Coinsidings 2.0, the role of AI has undergone a qualitative change. It is no longer just an assistant for recommending routes, but a value allocation engine . It can transform user behaviors such as consumption, sharing, voting, and participation in governance into computing power and equity, and ultimately map them to quantifiable asset returns. In other words, AI is not here to help you "save money", but to help you "make money".
This is the biggest difference between Coinsidings and traditional platforms. Through AI-driven revenue distribution, it transforms tourism from a one-time expense into long-term asset accumulation, opening up a new wealth logic for users.
The Triple Role of AI in Coinsidings
- User portrait and dynamic revenue distribution
At Coinsidings, every user behavior is recorded and modeled by AI. It not only counts how many times you have booked a room and how much money you have spent, but also combines frequency, cycle, destination type, social sharing behavior, etc., to construct a dynamic user portrait.
With these portraits, AI can design personalized profit release curves. For example:
- For high-frequency travel enthusiasts, AI will accelerate the pace of point release, allowing them to obtain more liquidity rewards in the short term.
- For users who occasionally travel but have large amounts of money, AI will design stronger option-based returns to delay the release of profits, thus forming long-term asset growth.
This differentiated distribution mechanism avoids the "one-size-fits-all" egalitarianism, allowing each user to obtain the most reasonable asset return according to their own behavior.
- Transparency of computing power incentives
In Coinsidings 2.0, AI is not just about collecting user data, but also about solving a more complex problem: how to avoid bad behaviors such as brushing orders, arbitrage, and zombie users, while ensuring that users who contribute truly receive maximum returns?
This is the meaning of "computing power incentive". User behavior will be transformed into computing power values, for example:
- Publish a high-quality travel guide, get community likes, and increase computing power.
- Inviting friends to register and actually complete the consumption can also increase computing power.
- Actively participating in DAO voting and submitting valid proposals will also be counted towards computing power.
AI will dynamically adjust the revenue distribution ratio based on the distribution of computing power across the entire network to ensure that rewards truly flow to active and valuable users. The advantage of this mechanism is that it allows "active behavior = revenue entrance", and avoids cheating behavior through AI models, ensuring the health of the ecosystem.
- Risk hedging and return optimization
The third role of AI is to help users manage risks and optimize returns. In traditional Financial Marekt, options are tools for hedging risks and amplifying returns, while Coinsidings introduces this logic into the tourism scenario.
For example, AI will automatically adjust the call-over conditions of user options based on the peak and off-season predictions of a certain destination. When the price rises during peak season, the value of the user's options will increase accordingly; during off-season, AI will remind or automatically optimize the exit plan to help users reduce losses.
This design allows users to enjoy risk management capabilities similar to those of Wall Street investors even for travel expenses of only a few hundred dollars. AI gives "small consumption" "big leverage", allowing ordinary people to feel the power of financial tools in travel expenses.
Differences from traditional platforms: from recommendation to allocation
In traditional OTA platforms such as Booking, Airbnb, and Ctrip, the application of AI mostly stays at the recommendation level . It analyzes users' search habits, geographic location, and price preferences through algorithms to recommend suitable hotels, flights, or packages. There is no doubt that this kind of recommendation improves efficiency and platform revenue, but the core logic always revolves around "making more money on the platform" rather than allowing users to share value. For users, the maximum benefit is a one-time discount or cashback, and the relationship ends abruptly after the transaction ends.
The design concept of Coinsidings is completely different. Its AI does not just help users find cheap hotels, but further participates in the mechanism of profit distribution . Users can not only enjoy the stay experience by booking a Paris hotel on the platform, but also generate points and equity vouchers synchronously. Under the modeling of AI, these rights will trigger personalized release and option mechanisms, and even circulate in the secondary market. More importantly, AI will dynamically adjust the release ratio and rhythm based on the user's past behavior and contribution, so that the user's status can gradually improve and enjoy higher long-term value.
It can be said that on traditional platforms, AI is a "service tool"; while on Coinsidings, AI is a "profit distributor". It allows users to no longer be passive consumers, but active investors, participants, and governors. This fundamental role shift has also transformed tourism from a "spending experience" to a wealth entrance of "consuming while investing".
AI-driven ecosystem flywheel
The core innovation of Coinsidings ecosystem is that it has built a flywheel mechanism of value distribution through AI. Every user's behavior will become a part of this flywheel operation, promoting the common growth of the platform and users.
Firstly, users' consumption on the platform will accumulate into data. These data not only include order records, but also travel frequency, destination selection, social interaction, and sharing behavior. Secondly, AI will model and analyze these data, identify the value contribution of different users, and allocate points or option income based on this. High-frequency users receive immediate release, while long-term users enjoy delayed dividends, thus forming diverse incentive methods.
When users receive more reasonable returns, they will naturally increase their engagement and Re-purchase Rate. They will choose to book a room or travel through Coinsidings again, or share it with their friends, thus bringing a new round of user growth. As engagement increases, the overall revenue scale of the platform also increases.
In this process, AI plays a role again, redistributing the newly added benefits to users according to their behavioral contributions. This positive cycle makes the entire ecosystem no longer exclusive to the platform, but mutually beneficial to users and the platform. The role played by AI here is like a transparent and fair "dividend officer", ensuring that value distribution flows to truly contributing users and forming a continuously self-enhancing flywheel effect.
IV. Future Outlook: How AI Can Upgrade Tourism Finance
With the expansion of the Coinsidings ecosystem, the role of AI will not stop at the current distribution mechanism, but will continue to evolve, driving tourism finance into a new stage.
- Personalized financial solutions
AI will customize profit curves for different client bases. For users who prefer short-term liquidity, AI can accelerate the release of points and increase immediate returns; while for users who are willing to hold for the long term, AI will delay the release and provide more stable long-term returns. This intelligent asset management method can help each user find the most suitable profit model for themselves. - Intelligent governance combined with DAO
AI will become a "think tank" to assist decision-making. Through data modeling and predictive analysis, AI can predict the economic impact of a proposal in advance, thereby helping users make more scientific choices when voting. This not only improves governance efficiency, but also enables the platform to maintain more stable development in global expansion. - Fair distribution of globalization
AI will play a greater role. The cross-border transformation of tourism assets means involving multiple currencies and market differences, and AI can monitor and balance the benefits between different regions in real time, reducing the unfairness caused by regional and exchange rate fluctuations. This ability will truly make Coinsidings a financial platform shared by global users, rather than just a tourism application in a certain region.
Ultimately, Coinsidings' AI is not just a recommendation engine, but also an intelligent financial system. It upgrades tourism from a consumer industry to an algorithm-driven wealth management industry.
Conclusion
In traditional travel platforms, the end point of AI is "recommendation", and users are still consumers; while in the Coinsidings ecosystem, the end point of AI is "distribution", and users are already investors, participants, and shareowners.
AI turns every consumption, sharing, and voting of users into a deposit of assets; it enables "small consumption" to have "big leverage", making travel no longer a consumption of funds, but a gateway to wealth.
This is the real revolution brought by Coinsidings: AI is no longer a tool for platforms to make money, but an engine for users to benefit. In the future, when we look back at the evolution of the tourism industry, we will find that Coinsidings not only changed the travel experience, but also changed the logic of wealth.