I. The Digital Transformation of the Tourism Industry: From "Transactional Platforms" to "Algorithm-Based Ecosystems"

Over the past two decades, the digital transformation of the global tourism industry has consistently revolved around "supply-side efficiency." Traditional online travel agencies (OTAs) such as Booking, Expedia, and Airbnb have made it easier for consumers to book by aggregating listings, reducing costs, and facilitating transactions; however, they are essentially "one-way matching" transaction networks. The value of user behavior is monopolized by the platform, merchants' profits are eroded by high commissions, data cannot circulate, and trust lacks transparency.

The emergence of Web3 has transformed "value" from a traffic asset exclusively owned by the platform into an economic right jointly created and held by users and merchants.

Coinsidings operates on this logic: it uses a triple model of AI × options × computing power to redefine the value structure of the "travel demand side," making every trip, sharing, and interaction quantifiable, dividend-paying, and investable.

In Coinsidings' system, AI is no longer an appendage to the recommendation engine, but a dynamic value scheduler—it understands demand, allocates revenue, and optimizes liquidity, enabling the tourism economy to truly enter the era of "algorithmic autonomy."

II. AI Reshaping the Demand Side: From Big Data to "Travel Personality"

Traditional travel platforms often rely on "popularity ranking" or "price priority" for recommendations, with algorithms focusing on "what sells well" rather than "what you truly need." This model ignores the complexity of travel behavior—emotions, time, budget, preferences, companion relationships, and cultural background are all key dimensions that shape decision-making.

Coinsidings' AI system uses multimodal data modeling to build a core asset known as the "Travel Identity Graph".

The system generates dynamic profiles by identifying multiple signals such as user browsing paths, search frequency, payment habits, dwell time, and interactive behaviors. It not only knows whether you like island vacations or city wanderings, but can also infer whether you prefer "quiet, experiential accommodations" or "cost-effective short road trips," and can even predict the timing of your next trip.

The significance of this model lies in the fact that, for the first time, AI can calculate "potential travel demand" before users explicitly express their intentions and intelligently match it with the supply from the merchant side.

When supply and demand matching is dominated by AI, the efficiency of resource allocation in the tourism industry will be multiplied, and Coinsidings will thus build its own differentiated moat— algorithms understand human nature, and data feeds back into the economy.

III. Computing Power: Quantification and Valuation of Behavior

Another revolutionary design of Coinsidings is that it abstracts user behavior into "computing power".

In the traditional Web2 model, user behaviors (clicks, browsing, placing orders, sharing) are only regarded as input signals for the algorithm; but in the Coinsidings system, these behaviors themselves are the source of value generation.

Every purchase, invitation, interaction, and review is converted into a corresponding computing power value within the system. The AI algorithm adjusts the computing power weight in real time based on the behavior type, frequency, relevance, and ecosystem contribution. For example:

• Consumer computing power reflects a user's real purchasing power within the ecosystem;
• Invite computing power representatives to demonstrate their social influence and contribution to dissemination;
• Community computing power measures participation and content contribution;
• Merchant computing power is based on revenue, ratings, repurchase rate, and activity participation.

The accumulation of computing power is not just a points-based "reward", but an economic weight that can be used to participate in profit sharing, stock option distribution and governance.

The AI system continuously analyzes the distribution of computing power across the entire network to ensure the dynamic fairness of the incentive structure and keep the flow of ecological energy in a balanced state.

This means that Coinsidings is transforming the behavioral data that was previously "acquired for free" by the platform into users' own economic assets. Behavior is asset, and interaction is reward.

IV. Option Mechanism: Linking Rewards to Contributions

In traditional financial logic, options are a tool for balancing risk and return, while in the Coinsidings ecosystem, options become the core currency for distributing value.

AI issues corresponding option types to each participant based on parameters such as computing power contribution, holding period, user level, and ecosystem activity: consumption options, contribution options, asset options, and airdrop options .

Each type of option has its own payout ratio and vesting period. For example:

• Consumer options are generated based on users' travel spending and are directly linked to the platform's transaction revenue;

• Contribution options reward active users and promoters, reflecting the benefits of network growth;

• Asset options are linked to RWA, representing the user's share of real-world travel assets;

• Airdropped options are targeted at early participants to incentivize ecosystem expansion.

These options are not static certificates, but dynamically circulating assets. AI will automatically adjust the release schedule based on market fluctuations, profit scale, and user activity.

For example, when the platform's overall revenue increases and user activity improves, the system can accelerate the release of options; conversely, it will automatically tighten circulation to maintain market stability.

This algorithmic approach to income governance means that wealth distribution no longer relies on human-made rules, but is instead driven by data logic itself.

V. AI-Driven Liquidity and Market Autonomy

In the market layer of RWA asset and options trading, Coinsidings' AI acts as a "market maker".

It uses intelligent analysis of order depth, trading volume, and price range to adjust the allocation of funds in the liquidity pool in real time. AI can identify which assets are in high demand and automatically increase liquidity; when price fluctuations exceed a threshold, it triggers a repurchase and burn mechanism to maintain price stability.

Unlike the "passive liquidity" of traditional DeFi, Coinsidings' AI market-making model is closer to a "dynamic hedging system"—it can provide price stability during periods of high volatility and improve capital utilization during periods of low liquidity.

More importantly, all market-making logic is executed by smart contracts, and anyone can view parameters and execution records in real time, forming a new type of financial infrastructure that is open, transparent, and traceable .

This mechanism not only enhances the market depth of CSS tokens and options, but also makes the platform's assets more resilient to risks.

Traditional Web3 projects often collapse due to "liquidity depletion," while Coinsidings' AI dynamic market-making mechanism builds a self-balancing structure, enabling the entire ecosystem to remain resilient in different market cycles.

VI. AI Virtual Guides and Intelligent Experiences: How Algorithms Define the Pleasure of Travel

Coinsidings' AI system is not only a financial engine, but also opens up entirely new possibilities in the user experience layer.

When users input their destination, budget, and time preferences, AI can automatically generate a personalized itinerary—a one-click package of hotels, transportation, dining, and activities; it can also dynamically adjust recommendations based on user profiles, such as:

"Since you have stayed at a boutique lakeside hotel in Zurich, we can recommend a similar experience in the Lake Como region of Italy this time."

This AI-driven personalized recommendation, combined with the platform's RWA asset pool, creates a closed loop between "recommendation" and "ownership": when a user chooses to stay at a hotel, they are actually participating in the RWA division of that hotel's assets; they are both a traveler and a shareholder.

Even more cutting-edge, Coinsidings offers users an immersive travel experience through its AI voice assistant and virtual tour guide features. The AI not only provides real-time voice translation and explanations of attractions, but can also recreate the history or future architectural plans of sites in VR mode, creating a journey experience that blends virtual and reality .

All of this interactive data will then be learned by AI to further optimize the recommendation logic, forming a continuously evolving "experience loop".

VII. Impact on the Tourism Industry: Reconstructing the Value Logic of Demand Side

For the traditional tourism industry, Coinsidings represents not only a digital upgrade, but a complete reversal of the flow of value.

In the past, platforms relied on traffic and advertising to make profits, with users merely the final point of payment and merchants just supply nodes; now, AI-driven computing power models allow both to become participants in the ecosystem's benefits.

For merchants, this means:

• More than 50% of operating costs are saved (disintermediation);

• More precise order allocation leads to a simultaneous increase in repurchase rate and average order value;

• AI advertising systems can accurately reach target customer groups based on computing power weights;

• The higher the service quality, the more computing power you get, and the higher your profit share.

For the industry, this model brings "compound growth with financial attributes"—user participation is transformed into long-term asset accumulation, and the growth of the ecosystem no longer depends on advertising, but is driven by the algorithm itself.

For the first time, the tourism industry has a sustainable "self-growth model".

Coinsidings' success story has also provided a new direction for the entire crypto industry. In the past few years, the Web3 field has experienced the dilemma of "high incentives and low retention"—many projects rely on airdrops and mining to attract short-term traffic, but are unable to establish a real economic closed loop.

It elevates AI from an "auxiliary tool" to the main body of ecosystem governance, making algorithms the source of trust. This model provides a sample for the future integration of DeFi and RWA: when AI becomes the central hub of value distribution, the entire financial system will shift from being speculative-driven to contribution-driven .

8. Value to Users: The Journey from "Spending Money" to "Making Money"

For ordinary users, the most significant change Coinsidings brings is that it turns travel into a "money-generating consumption."

After becoming a member, users not only enjoy discounts, points, and rebates, but more importantly, they can obtain computing power, options, and token rewards.

AI will continuously generate earnings reports based on its travel records and spending behavior, and predict potential future returns.

For example, when a user books a hotel room worth 1,000 CHFT, the system will automatically generate computing power, issue corresponding options, and release CSS or AIA rewards based on price conditions; if the user invites friends or interacts in the community, additional computing power and dividends can be triggered.

This gives "travel" a multi-dimensional revenue structure: immediate discounts, medium-term dividends, and long-term value appreciation.

More importantly, this mechanism transforms users' mindset from that of "consumers" to that of "participants." They not only purchase services but also invest in the ecosystem, becoming co-builders of the platform's growth. In the world of Coinsidings, every journey is the beginning of asset creation.

Conclusion: Algorithms define the future, and travel regains its value.

In the past, tourism was a consumer activity; today, Coinsidings transforms it into an investable, dividend-paying, and governable financial activity .

Through AI-powered intelligent profiling, quantification of computing power contributions, and distribution of option profits, Coinsidings has achieved a systematic restructuring of the traditional tourism industry. It makes every user click valuable, every service provided by merchants an asset, and allows the platform to achieve autonomous growth under AI governance.

For the tourism industry, it's an efficiency revolution; for the crypto industry, it's a template for RWA implementation; for users, it's a completely new way to experience wealth.

When AI becomes the core of value distribution, and when behavior is recognized, incentivized, and rewarded by algorithms, "travel" will no longer be an expense, but a way to participate in the future economy.

Coinsidings is showing the world that algorithms can not only understand people, but also reshape wealth. At the intersection of AI and blockchain, the meaning of travel is being redefined.