破解联盟积分困局，用去中心化协议让品牌自由互兑积分
Orchestrating Rewards in the Era of Intelligence-Driven Commerce
- 提出混合架构，品牌保主权，跨品牌积分可信任交换
- 60%联盟计划10年内失败，主因是中心化架构难支撑智能商业
- 构建数学定价模型，实现跨系统积分公平兑换，适合想拓展生态的品牌
尽管从早期铜币方案演进为复杂的数字系统，忠诚度计划仍以封闭生态为主，品牌完全掌控所有环节。联盟式忠诚度计划旨在实现跨品牌互通，但约60%在十年内失败，尽管其理论上具备网络经济优势。本文证明，联盟失败的根本原因在于中心化运营模式的架构缺陷，而非运营问题；进一步指出，在由AI代理主导的智能商业范式下，现有架构无法提供去信任、基于协议的协作，导致封闭与联盟系统均难以扩展。为此，我们提出一种混合框架：品牌保持对其计划的主权控制，同时通过无信任交换机制实现跨品牌互通。该框架保留封闭系统的优点，获得开放系统的收益，且避免传统联盟的结构性问题。我们推导出一个数学定价模型，纳入经验证的市场因素，支持跨互通奖励系统间的公平价值交换。
原文摘要 · Abstract (English)
Despite their evolution from early copper-token schemes to sophisticated digital solutions, loyalty programs remain predominantly closed ecosystems, with brands retaining full control over all components. Coalition loyalty programs emerged to enable cross-brand interoperability, but approximately 60\% fail within 10 years in spite of theoretical advantages rooted in network economics. This paper demonstrates that coalition failures stem from fundamental architectural limitations in centralized operator models rather than operational deficiencies, and argues further that neither closed nor coalition systems can scale in intelligence-driven paradigms where AI agents mediate commerce and demand trustless, protocol-based coordination that existing architectures cannot provide. We propose a hybrid framework where brands maintain sovereign control over their programs while enabling cross-brand interoperability through trustless exchange mechanisms. Our framework preserves closed system advantages while enabling open system benefits without the structural problems that doom traditional coalitions. We derive a mathematical pricing model accounting for empirically-validated market factors while enabling fair value exchange across interoperable reward systems.
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