Consumption point multi-scene circulation method based on intelligent contract

Abstract

The invention relates to the technical field of consumption points, and discloses a consumption point multi-scene circulation method based on a smart contract, which comprises the following operation steps: S1, triggering user consumption and activating the smart contract, specifically, a user generates a consumption behavior, the behavior is used as a triggering condition, the preset smart contract is activated, and the consumption behavior is generated; starting a consumption point multi-scene circulation process; and S2, the intelligent contract enters a multi-scene six-path path according to a rule. According to the consumption point multi-scene circulation method based on the intelligent contract, point distribution, exchange and circulation rules are automatically executed through the intelligent contract, and an islanding effect of a traditional point system is broken through by designing a multi-scene six-path path (point confirmation and distribution, cross-scene exchange, social fission reward, merchant enabling and the like); free circulation and value exchange of the points in different industries and different scenes are realized, and the point utilization rate and the user stickiness are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of consumer points technology, specifically a method for the multi-scenario circulation of consumer points based on smart contracts. Background Technology

[0002] Consumer points (also known as "reward points" or "loyalty points") are a type of virtual benefit designed by merchants or platforms to incentivize user spending and enhance user stickiness. Users can earn corresponding points after completing specific consumption behaviors (such as shopping, topping up, or participating in activities), and these points can be used to redeem goods, services, discounts, or other benefits later.

[0003] The traditional points-based reward system currently has the following problems:

[0004] 1. The problem of isolated points: Points are usually limited to a single merchant or platform, making it difficult to redeem across industries, resulting in low user usage.

[0005] 2. Lack of trust and transparency: The rules for issuing and redeeming points are not transparent, which may lead users to question the fairness of the system.

[0006] 3. High operating costs: Reliance on centralized management, low efficiency of manual settlement, and risk of tampering;

[0007] 4. Lack of incentive loop: The circulation of points is limited to a single scenario, making it difficult to form a virtuous cycle of continuous user consumption and social sharing. Summary of the Invention

[0008] (a) Technical problems to be solved

[0009] To address the shortcomings of existing technologies, this invention provides a method for the multi-scenario circulation of consumer points based on smart contracts. This method has advantages such as automated execution, cross-scenario circulation, high transparency, and low-cost operation, and solves the problems of isolated points, lack of trust, low operational efficiency, and difficulty in creating a closed ecosystem in traditional consumer points systems.

[0010] (II) Technical Solution

[0011] To achieve the aforementioned goals of automated execution, cross-scenario circulation, high transparency, and low-cost operation, this invention provides the following technical solution: a method for multi-scenario circulation of consumer points based on smart contracts, comprising the following operational steps:

[0012] Step S1: User consumption triggers, activating the smart contract.

[0013] Specifically, when a user makes a purchase, this purchase becomes a trigger condition that activates a pre-set smart contract, initiating a multi-scenario circulation process for purchase points.

[0014] Step S2: The smart contract enters the six-path multi-scenario system according to the rules.

[0015] Specifically, the activated smart contract guides the process to one or more of the following scenarios in parallel: "points confirmation and allocation scenario, cross-scenario redemption scenario, social fission reward scenario, and merchant empowerment scenario" according to the established logic.

[0016] Step S3: Each scenario operates according to the smart contract rules.

[0017] Specifically, these include: points ownership confirmation and allocation scenarios, cross-scenario redemption scenarios, social sharing reward scenarios, and merchant empowerment scenarios;

[0018] Step S4: Compliance Performance, Smart Contract Embedded with Compliance Rule Engine

[0019] Specifically, in the operation of various scenarios, the compliance rule engine embedded in the smart contract plays a role in ensuring that each link of the points circulation complies with laws and regulations and platform rules, and conducts compliance supervision and control of the process;

[0020] Step S5: Form an ecological closed loop and record user behavior.

[0021] Specifically, through multi-scenario operation and compliance performance, with the circulation of points in multiple scenarios as the core, the system accumulates user behavior data such as consumption and interaction within six days (and longer), constructs a closed-loop ecosystem for consumer points, and realizes continuous interaction and value transfer among users, merchants, platforms and other parties within the points system.

[0022] Furthermore, the points confirmation and allocation scenario described in step S3 includes blockchain notarization, user wallet identification and judgment, and points allocation (computing power revenue);

[0023] Blockchain-based evidence storage: By using smart contracts, consumption data is stored on the blockchain to confirm the ownership of points.

[0024] User wallet identification and judgment: The smart contract is associated with the user's wallet to confirm the ownership of points;

[0025] Points Allocation (Computing Power Revenue): Introduce "consumed computing power" and complete the points allocation according to the rules.

[0026] Furthermore, the cross-scenario redemption scenarios described in step S3 include redeeming goods / services, merchants earning points, and smart contract settlement and profit sharing:

[0027] Redeem goods / services: Smart contracts connect with merchants across multiple industries, enabling users to redeem goods or services with points;

[0028] Merchants earn points: A "points return" mechanism is designed through smart contracts to allow merchants to earn points;

[0029] Smart contract settlement and profit sharing: Settlement and profit sharing are carried out according to the contract when exchanging goods across merchants and industries.

[0030] Furthermore, the social referral reward scenarios described in step S3 include inviting friends to make purchases, smart contract commissions, and multi-dimensional rewards (contribution value):

[0031] Invite friends to spend: Smart contracts create "social points," and users can trigger point rewards by inviting friends to spend.

[0032] Smart contract commission: For multi-level distribution scenarios in social media, smart contracts execute commission rules;

[0033] Multidimensional rewards (contribution value): In addition to points earned from consumption, multidimensional rewards are given based on contribution value according to the smart contract.

[0034] Furthermore, the merchant empowerment scenarios described in step S3 include cost reduction procurement, points rewards, and cross-industry profit sharing:

[0035] Cost Reduction Procurement: Smart contracts enable "merchant points collection" to help merchants reduce procurement costs;

[0036] Points Rewards: Merchants launch "targeted" points reward programs via smart contracts;

[0037] Cross-industry profit sharing: When engaging in cross-industry alliance marketing, the smart contract executes cross-industry profit sharing rules.

[0038] Furthermore, during the multi-scenario six-path operation described in step S2, the smart contract supports dynamically expanding the scenario access interface to achieve rapid adaptation to new scenarios. That is, the smart contract presets standardized scenario access protocols and interface specifications. When a new points circulation scenario (such as a public welfare points donation scenario, an online and offline integrated consumption scenario, etc.) needs to be included, developers can quickly complete the connection between the new scenario and the existing smart contract system according to the specifications without large-scale reconstruction of the contract logic, ensuring that the points ecosystem continues to expand the scenario boundaries and maintain the vitality of business innovation.

[0039] Furthermore, during the execution of each scenario described in step S3, the smart contract synchronously generates an immutable full-link log of points transfer, and uses blockchain technology to achieve evidence storage and traceability.

[0040] Specifically, in the execution of various scenarios such as points allocation and cross-scenario redemption, smart contracts record information such as points change nodes, participating entities, and rule triggers in real time, and store them on the blockchain to form a complete circulation log; when it is necessary to verify the source of points, the path of use, or to handle disputes, the full-link log can be retrieved through blockchain retrieval tools to ensure that the circulation of points is transparent and traceable, and to strengthen the ecosystem's trust system.

[0041] Furthermore, in the ecosystem closed-loop construction stage described in step S5, artificial intelligence algorithms are introduced to analyze the accumulated user behavior data and output customized strategies for different participants. Specifically, AI algorithms are used to mine the value of data such as user consumption preferences and points usage habits, and to accurately push suitable points acquisition scenarios and redemption benefits to users; marketing plans based on points data are generated for merchants, such as target customer profiles and prediction of points activity effects; and ecosystem optimization suggestions are provided to the platform, such as complementary expansion directions for scenarios and basis for rule iteration, to improve the operational efficiency and participation stickiness of the points ecosystem.

[0042] (III) Beneficial Effects

[0043] Compared with existing technologies, this invention provides a method for the multi-scenario circulation of consumer points based on smart contracts, which has the following beneficial effects:

[0044] 1. This smart contract-based method for the multi-scenario circulation of consumer points automatically executes the rules for point allocation, redemption, and circulation through smart contracts. By designing six paths across multiple scenarios (point confirmation and allocation, cross-scenario redemption, social fission rewards, merchant empowerment, etc.), it breaks the "island effect" of traditional point systems, realizes the free circulation and value exchange of points in different industries and scenarios, and significantly improves point usage rate and user stickiness.

[0045] 2. This smart contract-based method for the multi-scenario circulation of consumer points ensures transparency and traceability throughout the entire point circulation process through blockchain notarization and non-repeatable point transfer log recording, enhancing the trust foundation among all parties involved in the ecosystem. At the same time, it provides technical support for compliance and supervision. By pre-setting standardized scenario access protocols and interface specifications, it supports the dynamic expansion and rapid adaptation of new scenarios, enabling the points ecosystem to continuously expand its business boundaries and maintain its innovative vitality without the need for large-scale reconstruction of contract logic.

[0046] 3. This smart contract-based multi-scenario circulation method for consumer points analyzes accumulated user behavior data using artificial intelligence algorithms, providing precise personalized strategies for different participants (such as user point acquisition recommendations, merchant marketing plans, and platform optimization suggestions). This significantly improves the operational efficiency and engagement of the points ecosystem. By constructing a "consumption computing power" model and a "social points" mechanism, it innovatively combines consumer behavior, social fission, and points rewards, forming a virtuous cycle of continuous user consumption and social dissemination, creating greater commercial value for merchants and platforms. Attached Figure Description

[0047] Figure 1 This is a flowchart of the present invention;

[0048] Figure 2 This is a schematic diagram illustrating the integration and allocation scenario of the present invention.

[0049] Figure 3 This is a schematic diagram of a cross-scenario redemption scenario according to the present invention;

[0050] Figure 4 This is a schematic diagram of the social fission reward scenario of the present invention;

[0051] Figure 5 This is a schematic diagram illustrating the scenario for empowering merchants in this invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] Please see Figure 1-5 A method for the multi-scenario circulation of consumer points based on smart contracts includes the following operational steps:

[0054] Step S1: User consumption triggers, activating the smart contract.

[0055] Specifically, when a user makes a purchase, this purchase becomes a trigger condition that activates a pre-set smart contract, initiating a multi-scenario circulation process for purchase points.

[0056] Step S2: The smart contract enters the six-path multi-scenario system according to the rules.

[0057] Specifically, the activated smart contract guides the process to one or more of the following scenarios in parallel: "points confirmation and allocation scenario, cross-scenario redemption scenario, social fission reward scenario, and merchant empowerment scenario" according to the established logic.

[0058] Step S3: Each scenario operates according to the smart contract rules.

[0059] Specifically, these include: points ownership confirmation and allocation scenarios, cross-scenario redemption scenarios, social sharing reward scenarios, and merchant empowerment scenarios;

[0060] Step S4: Compliance Performance, Smart Contract Embedded with Compliance Rule Engine

[0061] Specifically, in the operation of various scenarios, the compliance rule engine embedded in the smart contract plays a role in ensuring that each link of the points circulation complies with laws and regulations and platform rules, and conducts compliance supervision and control of the process;

[0062] Step S5: Form an ecological closed loop and record user behavior.

[0063] Specifically, through multi-scenario operation and compliance performance, with the circulation of points in multiple scenarios as the core, the system accumulates user behavior data such as consumption and interaction within six days (and longer), constructs a closed-loop ecosystem for consumer points, and realizes continuous interaction and value transfer among users, merchants, platforms and other parties within the points system.

[0064] In the implementation of the case, step S3, the confirmation and allocation of points, includes blockchain notarization, user wallet identification and judgment, and points allocation (computing power revenue).

[0065] Blockchain-based evidence storage: After a user makes a purchase, the smart contract automatically extracts the purchase data (such as purchase time, amount, product / service information, etc.) and uploads this data to the blockchain network for evidence storage in accordance with blockchain technology specifications.

[0066] Among these features, the authenticity and reliability of data can be guaranteed: the distributed ledger and immutability of blockchain ensure that once consumption data is on the chain, it cannot be arbitrarily modified or deleted, thus ensuring that the consumption data on which points are based is authentic and reliable, and avoiding disputes over points from the source.

[0067] Establish a foundation for points ownership verification: Based on real and tamper-proof consumption data, clarify the rationality and ownership of points, lay a "data credibility" foundation for subsequent points allocation and use, accurately link points with consumption behavior, and ensure the legality of points that users deserve.

[0068] User wallet identification and judgment: Based on the preset association rules, the smart contract uses the user's identity identifier (such as account ID) to find and associate the corresponding user wallet address (digital wallet, etc., which stores points and assets), verifies the matching between the wallet and the user's identity, and confirms that the wallet is the carrier of points ownership.

[0069] Among these features, the ownership of points is clearly defined: the points are accurately linked to the user's wallet, clearly defining who should own the points, avoiding misallocation and misplacing of points, protecting the user's ownership of their points, and ensuring that points are accurately allocated to the corresponding user's asset account.

[0070] The foundation supporting the circulation of points: Once the wallet to which the points belong is determined, subsequent operations such as the allocation and crediting of points, and cross-scenario redemption and transfer can be carried out smoothly based on this wallet. It is the "account cornerstone" for the circulation of points in multiple scenarios, giving the flow of points a clear and fixed "starting point" and "carrier".

[0071] Points Allocation (Computing Power Revenue): The smart contract introduces a "consumption computing power" model, which converts various elements of consumption behavior (such as consumption amount, consumption frequency, consumption category weight, etc.) into computing power values, and then calculates and allocates corresponding points to the associated wallet according to the pre-set points allocation rules (such as the conversion formula between computing power value and points, allocation coefficients for different user levels / membership levels, etc.).

[0072] Among them, scientifically quantified points: using "consumption computing power" to transform complex and diverse consumption behaviors into calculable values, so that the distribution of points has a unified and accurate quantitative standard, avoiding the subjectivity and arbitrariness of manual distribution, and making the amount of points accurately match the user's consumption contribution.

[0073] Incentivizing Diverse Consumption: By setting computing power weights for different consumption behaviors, users are guided to engage in consumption behaviors desired by the platform (such as encouraging the purchase of high-value, high-margin goods and assigning them higher computing power). This not only allows users to obtain reasonable points rewards, but also helps the platform optimize its consumption structure and improve business efficiency, achieving a "two-way incentive" between users and the platform in the points allocation process.

[0074] In the implementation of this case, step S3, the cross-scenario redemption scenario, includes redeeming goods / services, merchants earning points, and smart contract settlement of revenue sharing:

[0075] Redeeming goods / services: The platform pre-establishes cooperation agreements with merchants in various industries such as retail, catering, and cultural tourism through smart contracts, and records the information of the redeemable goods / services of the merchants (such as product specifications, service content, redemption points standards, etc.) into the smart contracts. When a user initiates a points redemption request, the smart contract automatically retrieves the inventory of goods / services and redemption rules of the connected merchants, matches the user's points amount, and after confirming that the redemption is feasible, it synchronizes the redemption instructions to the user and the merchant.

[0076] Among them, expanding the boundaries of points usage: breaking the limitations of a single industry or a single merchant, allowing users to "redeem" points across multiple industry consumption scenarios, enhancing the practicality and attractiveness of points. For example, points earned by users from e-commerce purchases can be redeemed for food at partner restaurants, enriching the perceived value of points.

[0077] Standardized integration and execution: Smart contracts use coded rules to standardize the access process and redemption logic for merchants across multiple industries, replacing the vague rules of manual negotiation. Whether it is a technology and digital merchant or an offline physical store, they all complete the redemption interaction with users according to the same set of contract rules, ensuring that the redemption process is efficient and unambiguous, and reducing the communication and operation costs of cross-industry cooperation.

[0078] Merchants earn points: When a user redeems a merchant's goods / services with points, the smart contract automatically calculates the number of points to be returned to the merchant based on the "points return" rules (such as a certain percentage of the price of the goods / services, or according to the industry points redemption coefficient, etc.). The points are then transferred from the platform's points pool or the associated account deducted from the user's points to the merchant's points account, and the merchant's points balance and transaction records are updated simultaneously.

[0079] Among them, incentivizing merchant participation involves opening up a "points acquisition" channel for merchants, who can use the returned points for their own marketing (such as giving points benefits to their own members) and participate in other points activities on the platform (such as using points to exchange for platform traffic promotion), thereby increasing merchants' enthusiasm for cooperating with the points system and encouraging more merchants to join the cross-scenario redemption ecosystem.

[0080] Building a points-based ecosystem: forming a closed loop of "users earn points for consumption → points redeem for merchant goods / services → merchants receive points back → merchants use points for operations", allowing points to continuously circulate among users, the platform, and merchants, activating the vitality of the points ecosystem, avoiding "deadlock" after one-way consumption of points, and ensuring the long-term operation of the ecosystem.

[0081] Smart contract settlement and profit sharing: After the cross-scenario exchange transaction is completed, the smart contract automatically triggers the profit sharing settlement process. First, based on the pre-set profit sharing rules (such as the proportion of the actual value corresponding to the transaction points, the profit sharing coefficient of different industries, the weight of the merchant's contribution, etc.), the platform, the merchants providing goods / services, and other related parties (such as cross-industry alliances) are calculated to receive their respective profit sharing amounts / rights. Then, the smart contract calls the payment or points transfer interface to complete the settlement and transfer of profit sharing funds or points for all parties, and generates an immutable profit sharing record for on-chain storage.

[0082] Among them, ensuring the distribution of benefits among multiple parties: clearly defining the revenue of the platform, merchants, and partners in cross-scenario redemption, and using the automatic execution of smart contracts to replace manual reconciliation and profit sharing to avoid disputes over benefits. For example, when users redeem cross-industry co-branded products with points, smart contracts can accurately distribute the profits to the manufacturers, co-branded brands, and platforms to ensure reasonable benefits for all parties.

[0083] Promoting cross-industry collaboration: A stable and transparent profit-sharing mechanism allows merchants from different industries to participate in cross-scenario cooperation with greater confidence, and to be more willing to share resources and traffic. This promotes the deep integration of cross-industry collaborations such as retail and cultural tourism, and online and offline, enriching the points redemption scenarios while also expanding the boundaries of the business ecosystem and achieving a synergistic effect of "1+1>2".

[0084] In the implementation of this case, step S3, the social referral reward scenario, includes inviting friends to make purchases, smart contract commissions, and multi-dimensional rewards (contribution value):

[0085] Invite friends to spend: The platform creates a unique "social points" system for users through smart contracts. When a user initiates an invitation to a friend (such as sharing an invitation link, QR code, etc.), the smart contract records the invitation relationship chain. After a friend makes a purchase through the invitation channel, the smart contract automatically identifies the invitation relationship associated with the purchase, triggers the "social points" reward rules, calculates and issues the corresponding social points to the inviting user, and updates the points accounts and associated records of both parties.

[0086] Among them, stimulating social sharing: using "social points" as an incentive hook to encourage users to actively promote the platform to their social circles, expanding personal consumption behavior into social sharing behavior. For example, in order to earn social points, users will actively invite friends to consume on the platform together, helping the platform acquire customers and expand its user base at low cost.

[0087] Accumulate social relationship data: The invitation relationship chain and social points circulation data recorded by smart contracts become social relationship assets accumulated by the platform. In the future, this data can be used for targeted marketing (such as pushing high-value benefits to core "social influencers"), community operation (such as forming user sharing alliances), and to explore the value of the social ecosystem.

[0088] Smart contract commission: In a multi-level marketing model based on social sharing (e.g., user A invites user B, and user B invites user C to make a purchase), the smart contract pre-sets multi-level commission rules (including commission ratios for each level, commission triggering conditions, and commission points / funds calculation methods, etc.). When the last user (e.g., user C) completes the purchase, the smart contract automatically traverses the multi-level invitation relationship chain, calculates the commission reward (points or cash equivalents) that each level of associated users (user B, user A) should receive according to the rules, executes the commission transfer, and records the commission flow simultaneously.

[0089] Among them, standardizing the multi-level distribution order: replacing the complexity and error-proneness of manual commission calculation, using smart contracts to code rules, clearly defining the income of each participant in multi-level distribution, whether it is a first-level invitation or multi-level dissemination, commissions can be automatically distributed according to unified rules, avoiding the impact of commission disputes on the enthusiasm for social promotion, and ensuring the stable operation of the distribution system.

[0090] Driving deep social fission: The multi-level commission mechanism allows early participants (such as user A) to earn income from the promotional activities of their downline users even if they do not directly invite new users. This incentivizes users to actively build and maintain a multi-level social promotion network, driving the platform's user base to grow exponentially and amplifying the commercial value of social fission.

[0091] Multi-dimensional rewards (contribution value): The smart contract constructs a "contribution value" evaluation model, which converts users' diverse behaviors in social scenarios (in addition to consumption, such as the number of friends invited, the frequency of friends' consumption, the spread of shared content, and the activity level of participating in platform social activities) into quantifiable contribution value indicators. The smart contract calculates users' contribution values ​​regularly (e.g., daily / weekly) according to the smart contract rules, and then issues multi-dimensional rewards to users based on their contribution value level. The reward forms may include exclusive points packages, platform privileges (such as priority customer service, exclusive event permissions), physical prizes, virtual badges, etc., and the user's contribution value and reward records are updated synchronously.

[0092] Among them, incentivizing diverse social participation: not limited to spending points, but encouraging users to participate in the social ecosystem from multiple dimensions such as sharing, activity, and dissemination. For example, even if users do not make a purchase temporarily, they can still receive contribution points rewards for actively sharing platform content and helping the platform spread positive word-of-mouth, allowing more users to participate in all aspects of social fission and enriching the activity of the ecosystem.

[0093] Tiered user operation: By differentiating user value through contribution value (e.g., high contribution value users are the "core social force" of the platform), the platform can customize differentiated operation strategies for users of different contribution value levels (e.g., equipping high contribution value users with exclusive growth systems and high-end benefits) to enhance user stickiness and loyalty, while guiding ordinary users to advance to higher contribution values, and continuously strengthening the vitality of the social fission ecosystem.

[0094] In the implementation of this case, step S3, merchant empowerment scenarios, includes cost reduction procurement, points rewards, and cross-industry profit sharing:

[0095] Cost Reduction Procurement: The platform collaborates with upstream supply chain companies (such as raw material suppliers and logistics providers) to build a "Merchant Points Collection" system based on smart contracts. Points earned by merchants through platform operations (such as points contributed by users for purchases, points earned by merchants participating in platform activities, etc.) can be converted into "procurement points" according to smart contract rules. When a merchant has procurement needs (such as purchasing raw materials or logistics services), the smart contract automatically verifies the merchant's procurement points balance, matches the supply chain partners' product / service supply information, and uses the procurement points to offset part or all of the procurement costs according to a preset exchange ratio (the conversion relationship between points and procurement costs), completing the procurement transaction and simultaneously updating the merchant's points and procurement records.

[0096] One key aspect is reducing merchants' operating costs: Merchants can "activate" their accumulated points, turning them into "virtual currency" that can be used for procurement, thus reducing cash outlays. For example, restaurant merchants can use points to redeem raw materials from ingredient suppliers, reducing procurement costs and increasing profit margins.

[0097] Strengthen supply chain collaboration: By using smart contracts to bind merchants and supply chain companies to the points-based procurement ecosystem, merchants are encouraged to participate more actively in the platform's points system (to operate more diligently in order to earn points), while supply chain companies can expand their sales channels (to receive points payments), thereby promoting the coordinated development of upstream and downstream supply chains and building a closer business ecosystem alliance.

[0098] Points Rewards: Merchants set points reward activity rules in the smart contract system (such as the target user group, consumption behavior trigger conditions, reward points quantity, activity time range, etc., to achieve "targeted" rewards). The smart contract synchronizes the activity rules to the platform front-end display (such as the merchant's store page and the platform's activity square). When a user meets the activity trigger conditions (such as a specific user group purchasing designated products during the activity period), the smart contract automatically identifies and executes the points reward distribution, transferring the corresponding points to the user's account, and simultaneously providing feedback to the merchant on activity participation data (such as the number of participating users and points consumption).

[0099] Among them, precise targeting of the target customer group: the "targeting" rule allows merchants to focus on core customer groups (such as high-net-worth users and dormant users) to provide points incentives. For example, beauty merchants can issue points rewards to "users who have spent more than 1,000 yuan in the past 3 months" to encourage repeat purchases by these users, improve the accuracy of marketing resource allocation, and avoid wasting costs on indiscriminate rewards.

[0100] Enhancing user stickiness and repeat purchases: Points rewards, as an immediate incentive, can strengthen users' sense of accomplishment in their consumption, driving them to continuously earn and use points at merchants, forming a closed loop of "consumption-reward-repurchase". For example, coffee merchants use points rewards to attract users to make multiple purchases, cultivate users' consumption habits, and increase the lifetime value of users.

[0101] Cross-industry revenue sharing: When merchants from different industries form an alliance to carry out joint marketing activities (such as retail, catering, and cultural tourism merchants jointly launching "consumer gift packages"), the revenue sharing rules are set in advance through smart contracts (including the revenue sharing ratio of each industry merchant, the transaction data dimensions on which the revenue sharing is based, the revenue sharing settlement cycle, etc.). After a consumer transaction is generated during the activity, the smart contract collects transaction data in real time (such as the sales volume contributed by each merchant, the user traffic brought by each merchant, etc.), automatically calculates the revenue sharing amount (or points and other rights) that each alliance merchant should receive according to the revenue sharing rules, executes the revenue sharing transfer in the settlement cycle, and generates revenue sharing records simultaneously for merchants to query and verify.

[0102] Among them, protecting the interests of all parties in the alliance: cross-industry cooperation involves complex profit distribution. Smart contracts use coded rules to replace manual negotiation, and clearly and automatically execute profit sharing. Whether it is a big brand or a small business, the profit sharing is fair according to the contribution. For example, in the tourism alliance, hotels, travel agencies and scenic spots share the profit reasonably according to the actual consumption they drive, avoiding the impact of profit sharing disputes on the stability of the alliance.

[0103] Promoting cross-industry ecosystem integration: A stable and transparent profit-sharing mechanism encourages businesses from different industries to collaborate, share users and resources, create rich cross-industry consumption scenarios (such as an integrated experience of "shopping + food + entertainment"), expand business boundaries, provide users with more diverse consumption choices, and allow businesses from various industries to break through the limitations of a single track and explore new growth opportunities.

[0104] In the implementation of the case, during the multi-scenario six-path operation of step S2, the smart contract supports the dynamic expansion of scenario access interfaces to achieve rapid adaptation to new scenarios. That is, the smart contract presets standardized scenario access protocols and interface specifications. When there are new points circulation scenarios (such as public welfare points donation scenarios, online and offline integrated consumption scenarios, etc.) that need to be included, developers can quickly complete the connection between the new scenario and the existing smart contract system according to the specifications without large-scale reconstruction of contract logic, ensuring that the points ecosystem continues to expand the scenario boundaries and maintain the vitality of business innovation.

[0105] Among them, 1. The effect on the merchant side is:

[0106] Lowering the barriers to cooperation and stimulating enthusiasm for participation

[0107] New scenario integration does not require contract reconstruction, and merchants (especially small and medium-sized merchants) do not need to invest a lot of technical costs to adapt to the system. For example, if a local intangible cultural heritage handicraft shop wants to join the new scenario of "points redemption for intangible cultural heritage experience", it can easily integrate into the points ecosystem by following the standardized interface specifications, quickly share platform traffic, incentivize more distinctive merchants to participate, and enrich the supply of points redemption.

[0108] Respond flexibly to the market and innovate marketing strategies

[0109] Merchants can quickly respond to trending topics and design exclusive points activities based on new scenarios. For example, during holidays, catering merchants can leverage the "online and offline integrated consumption scenario" to launch a combination of "double points for in-store consumption + online points lottery". By relying on smart contract interfaces, they can quickly go live, seize marketing opportunities, and increase customer visits and brand vitality.

[0110] 2. Its effect on the user side is as follows:

[0111] The constantly fresh scenarios enhance the perceived value of points.

[0112] With the continuous integration of new scenarios (such as charitable donations and offline themed experiences), the benefits that users can redeem with their points are constantly expanding. Users can use their points to do charity work and participate in niche interest activities, upgrading points from "shopping rebates" to "passes to life benefits," enhancing the attractiveness of points and increasing users' willingness to actively acquire and use points.

[0113] Break down scene barriers to achieve a seamless experience

[0114] Standardized interfaces ensure data interoperability between new and old scenarios. In the scenario of "online points mall redemption + offline store self-pickup", users experience no delay in points deduction and order status synchronization. When participating in charitable donation scenarios, points donation records are automatically linked to the personal credit system (if associated), creating a smooth and seamless points consumption experience.

[0115] 3. Its impact on the platform ecosystem is as follows:

[0116] Building an open ecosystem and bringing together industry resources

[0117] The scalable interfaces of smart contracts have attracted partners from various industries (such as non-profit organizations and cross-industry alliances) to actively connect. The platform has gradually evolved from a single consumer points platform into an open ecosystem covering consumption, public welfare, and lifestyle services, aggregating traffic, data, and business resources, and strengthening the platform's industry influence.

[0118] Agile iterative innovation to respond to market changes

[0119] When market demand (such as young users' demand for "social + points" scenarios) or industry trends (such as green consumption points scenarios) changes, the platform can quickly adapt to new scenarios without a long development cycle, maintain business innovation vitality, and ensure that the points ecosystem always keeps up with market trends, avoiding being replaced by competitors due to fixed scenarios.

[0120] Accumulate scenario data to support ecosystem optimization

[0121] User behavior data generated from new scenario access (such as preferences for point donations in public welfare scenarios and consumption periods in online-offline integrated scenarios) is fed back to the platform through standardized interfaces. The platform uses the data to mine user needs and optimize scenario rules (such as adjusting the point redemption ratio in public welfare scenarios and the verification process in offline scenarios), forming a closed loop of "scenario expansion - data accumulation - ecosystem optimization" to continuously improve the efficiency of ecosystem operation.

[0122] By breaking down the data into layers and starting from the needs of different participants and the logic of ecosystem development, we can clearly demonstrate the profound value of the dynamic expansion interface to "merchant cooperation, user experience, and platform ecosystem," making the technological feature of smart contracts a true engine driving the prosperity of the points ecosystem.

[0123] In the implementation of this case, during step S5, the ecosystem closed-loop construction phase, artificial intelligence algorithms were introduced to analyze the accumulated user behavior data and output customized strategies for different participants. Specifically, AI algorithms were used to mine the value of data such as user consumption preferences and points usage habits, and to accurately push suitable points acquisition scenarios and redemption benefits to users; marketing plans based on points data were generated for merchants, such as target customer profiles and prediction of points activity effects; and ecosystem optimization suggestions were provided to the platform, such as complementary expansion directions for scenarios and basis for rule iteration, to improve the operational efficiency and participation stickiness of the points ecosystem.

[0124] Among them, 1. Its effect on users is as follows:

[0125] Precise matching of needs enhances the sense of accomplishment in earning points.

[0126] AI algorithms deeply analyze users' historical consumption (such as frequently purchased product categories and average order value range) and points usage patterns (preferred redemption product / service types and redemption cycles) to customize exclusive points strategies for users. For example, by identifying users who "frequently buy maternity and baby products and redeem parenting courses with points every week," the system can accurately push promotions such as "double points on maternity and baby purchases + free parenting knowledge memberships," ensuring that users' points benefits are highly aligned with their needs, enhancing their perception that "points can solve practical needs," and increasing their active participation.

[0127] Reduce decision-making costs and simplify the use of points.

[0128] By using AI to analyze users' points assets (quantity, validity period, applicable scenarios) and needs, clear guidance is provided. For example, when a user's points are about to expire, the system automatically recommends "high-value benefits that can be redeemed with points nearing expiration" (such as vouchers for popular restaurants or daily necessities). For users with fewer points, the system recommends a combination of "low points + small cash redemption for practical goods" to help users use their points efficiently and avoid abandoning their use due to complicated rules or too many choices.

[0129] 2. Its effect on merchants is as follows:

[0130] Targeted marketing reach improves campaign ROI

[0131] Based on AI-generated target customer profiles (such as "25-35 year old mothers who prefer organic products and redeem points for two parenting services per month"), merchants can customize highly tailored marketing plans. For example, maternal and infant merchants can push messages like "Buy organic formula and receive extra points + exclusive parenting community access," accurately reaching highly matched users. Compared to broad-spectrum marketing, this significantly improves activity conversion rates, and the cost spent on points marketing can bring higher repeat purchases and average order value.

[0132] Data-driven operations, optimizing points strategies

[0133] AI predicts the effectiveness of points promotions (such as simulating the appeal of "double points" promotions to different customer groups and the extent of sales growth). Merchants can adjust their strategies in advance. If it is predicted that "existing customers are more interested in redeeming points for new product trials, while new customers are more focused on discounts," then "redeem points for new products" can be promoted to existing customers, and "points back on purchases + discounts" can be promoted to new customers. This makes the allocation of points resources more efficient and avoids point waste and user indifference caused by blind promotions.

[0134] 3. Its role in the platform's ecosystem operation is as follows:

[0135] Optimize scenario collaboration to create an ecological closed loop

[0136] AI analyzes data from multiple scenarios (such as user conversion rates in "points redemption scenarios" and "social sharing scenarios") and outputs complementary scenario suggestions. If it finds that "60% of users who participate in social invitations will redeem points in the points mall," the platform can integrate "social points rewards + mall-specific benefits." After a user invites a friend, an "exclusive points redemption coupon" will be pushed in real time to promote user flow between scenarios and strengthen the closed loop of "earning points through social interaction - points promoting consumption - consumption leading to more social interaction."

[0137] Rules are dynamically iterated to adapt to ecosystem development.

[0138] Based on industry trends discovered by AI (such as "increasing demand for green consumption points") and user feedback (such as "many complaints about cross-scenario redemption fees"), the platform iterates its points rules, such as adding a "return extra points for environmentally friendly consumption" rule and reducing cross-industry redemption fees, so that the points ecosystem always aligns with market demand and user experience, and avoids losing users due to rigid rules.

[0139] 4. The role of data assets is as follows:

[0140] Deeply explore the value of data and build competitive barriers.

[0141] The accumulated user behavior data is analyzed by AI and transformed into assets such as "user demand models" and "merchant operation models". The platform can reuse these models to quickly replicate successful cases (such as adapting the "maternal and infant industry points strategy" to the beauty industry), or provide data services to external parties (such as providing "target customer group points behavior analysis" to partner brands), so that the data can be upgraded from "operational records" to core competitive assets, and the dimensions of profitability and ecological cooperation can be broadened.

[0142] Predicting ecological trends and planning for innovation in advance.

[0143] AI extrapolates future trends based on historical data (such as "young users' demand for virtual points benefits may increase by 30% in six months"). Platforms can proactively plan for new scenarios (such as developing "points redemption metaverse experience") and reserve cooperative resources (connecting with virtual service providers). By building a first-mover advantage before trends emerge, the points ecosystem can always lead market innovation, rather than passively catching up.

[0144] By breaking down the data into layers, we refine the value of AI algorithms in the closed-loop ecosystem from dimensions such as user experience, merchant operations, ecosystem collaboration, and data assets. This makes "customized strategies" no longer an abstract concept, but a key engine that can be implemented to enhance the value of all parties' participation and drive the evolution of the ecosystem.

[0145] In summary, this smart contract-based multi-scenario circulation method for consumer points automatically executes point allocation, redemption, and circulation rules through smart contracts. By designing six paths across multiple scenarios (point confirmation and allocation, cross-scenario redemption, social sharing rewards, merchant empowerment, etc.), it breaks the "island effect" of traditional point systems, enabling the free circulation and value exchange of points across different industries and scenarios. This significantly improves point usage and user stickiness. Blockchain notarization and non-repeatable point circulation log recording ensure the transparency and traceability of the entire point circulation process, enhancing the trust foundation among all parties involved in the ecosystem. It also provides technical support for compliance and supervision. By pre-setting standardized scenario access protocols and interface specifications, it supports the dynamic expansion and rapid adaptation of new scenarios, enabling the point ecosystem to continuously expand its business boundaries and maintain its innovative vitality without large-scale reconstruction of contract logic.

[0146] Furthermore, by introducing artificial intelligence algorithms to analyze the accumulated user behavior data, precise personalized strategies are provided for different stakeholders (such as user points acquisition recommendations, merchant marketing plans, platform optimization suggestions, etc.), which significantly improves the operational efficiency and participation stickiness of the points ecosystem. By constructing a "consumption computing power" model and a "social points" mechanism, it innovatively combines consumption behavior, social fission and points rewards, forming a virtuous cycle of continuous user consumption and social dissemination, creating greater commercial value for merchants and the platform.

[0147] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0148] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for the multi-scenario circulation of consumer points based on smart contracts, characterized in that: The following steps are included: Step S1: User consumption triggers, activating the smart contract. Specifically, when a user makes a purchase, this purchase becomes a trigger condition that activates a pre-set smart contract, initiating a multi-scenario circulation process for purchase points. Step S2: The smart contract enters the six-path multi-scenario system according to the rules. Specifically, the activated smart contract guides the process to one or more of the following scenarios in parallel: "points confirmation and allocation scenario, cross-scenario redemption scenario, social fission reward scenario, and merchant empowerment scenario" according to the established logic. Step S3: Each scenario operates according to the smart contract rules. Specifically, these include: points ownership confirmation and allocation scenarios, cross-scenario redemption scenarios, social sharing reward scenarios, and merchant empowerment scenarios; Step S4: Compliance Performance, Smart Contract Embedded with Compliance Rule Engine Specifically, in the operation of various scenarios, the compliance rule engine embedded in the smart contract plays a role in ensuring that each link of the points circulation complies with laws and regulations and platform rules, and conducts compliance supervision and control of the process; Step S5: Form an ecological closed loop and record user behavior. Specifically, through multi-scenario operation and compliance performance, with the circulation of points in multiple scenarios as the core, the system accumulates user behavior data such as consumption and interaction within six days (and longer), constructs a closed-loop ecosystem for consumer points, and realizes continuous interaction and value transfer among users, merchants, platforms and other parties within the points system.

2. The method for multi-scenario circulation of consumer points based on smart contracts according to claim 1, characterized in that: The points confirmation and allocation scenario described in step S3 includes blockchain notarization, user wallet identification and judgment, and points allocation (computing power revenue); Blockchain-based evidence storage: By using smart contracts, consumption data is stored on the blockchain to confirm the ownership of points. User wallet identification and judgment: The smart contract is associated with the user's wallet to confirm the ownership of points; Points Allocation (Computing Power Revenue): Introduce "consumed computing power" and complete the points allocation according to the rules.

3. The method for multi-scenario circulation of consumer points based on smart contracts according to claim 1, characterized in that: The cross-scenario redemption scenarios described in step S3 include redeeming goods / services, merchants earning points, and smart contract settlement of revenue sharing: Redeem goods / services: Smart contracts connect with merchants across multiple industries, enabling users to redeem goods or services with points; Merchants earn points: A "points return" mechanism is designed through smart contracts to allow merchants to earn points; Smart contract settlement and profit sharing: Settlement and profit sharing are carried out according to the contract when exchanging goods across merchants and industries.

4. The method for multi-scenario circulation of consumer points based on smart contracts according to claim 1, characterized in that: The social referral reward scenarios described in step S3 include inviting friends to make purchases, smart contract commissions, and multi-dimensional rewards (contribution value): Invite friends to spend: Smart contracts create "social points," and users can trigger point rewards by inviting friends to spend. Smart contract commission: For multi-level distribution scenarios in social media, smart contracts execute commission rules; Multidimensional rewards (contribution value): In addition to points earned from consumption, multidimensional rewards are given based on contribution value according to the smart contract.

5. A method for multi-scenario circulation of consumer points based on smart contracts according to claim 1, characterized in that: The merchant empowerment scenarios described in step S3 include cost reduction procurement, points rewards, and cross-industry profit sharing: Cost Reduction Procurement: Smart contracts enable "merchant points collection" to help merchants reduce procurement costs; Points Rewards: Merchants launch "targeted" points reward programs via smart contracts; Cross-industry profit sharing: When engaging in cross-industry alliance marketing, the smart contract executes cross-industry profit sharing rules.

6. The method for multi-scenario circulation of consumer points based on smart contracts according to claim 1, characterized in that: During the multi-scenario, six-path operation described in step S2, the smart contract supports dynamically expanding the scenario access interface to achieve rapid adaptation to new scenarios. In other words, the smart contract presets standardized scenario access protocols and interface specifications. When a new points circulation scenario (such as a public welfare points donation scenario or an online-offline integrated consumption scenario) needs to be included, developers can quickly complete the connection between the new scenario and the existing smart contract system according to the specifications without large-scale reconstruction of the contract logic. This ensures that the points ecosystem continues to expand the scenario boundaries and maintains the vitality of business innovation.

7. A method for multi-scenario circulation of consumer points based on smart contracts according to claim 1, characterized in that: When each scenario described in step S3 is running, the smart contract synchronously generates an immutable full-link log of points transfer, and uses blockchain technology to achieve evidence storage and traceability. Specifically, in the execution of various scenarios such as points allocation and cross-scenario redemption, smart contracts record information such as points change nodes, participating entities, and rule triggers in real time, and store them on the blockchain to form a complete circulation log; when it is necessary to verify the source of points, the path of use, or to handle disputes, the full-link log can be retrieved through blockchain retrieval tools to ensure that the circulation of points is transparent and traceable, and to strengthen the ecosystem's trust system.

8. A method for multi-scenario circulation of consumer points based on smart contracts according to claim 1, characterized in that: In the ecological closed-loop construction stage described in step S5, artificial intelligence algorithms are introduced to analyze the accumulated user behavior data and output customized strategies for different participants. Specifically, AI algorithms are used to mine the value of data such as user consumption preferences and points usage habits, and to accurately push suitable points acquisition scenarios and redemption rights to users; and marketing plans based on points data are generated for merchants, such as target customer profiles and prediction of points activity effects. Provide the platform with suggestions for ecosystem optimization, such as complementary expansion directions for scenarios and basis for rule iteration, to improve the operational efficiency and participation stickiness of the points ecosystem.

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