随着市场竞争不断加剧、用户需求个性化特征日益突出，企业逐渐由单纯提供产品或服务等，转变为提供以用户需求为主导的数智化解决方案。然而 ，在用户需求差异化、个性化的情境下，企业如何通过定制化的数智化解决方案满足用户的个性化需求，尚未得到充分的理论解释。本研究从用户需求洞察的视角出发，选取大信家居、小橙集团两家数智化解决方案供应商进行双案例对比分析，探究企业数智化解决方案开发的构建机制和路径特征。研究发现有以下3点，第一，面向用户需求差异化、个性化情境，企业通过在数字平台上进行数智化信息搜寻洞察用户需求。企业基于用户功能型需求的算法式搜寻呈现精准性、即时性的数字化搜寻特征，基于用户享乐型需求的启发式搜寻呈现敏捷性、交互性的数字化搜寻特征。第二，基于用户需求的不同类型，企业在数智化解决方案开发过程中具有设计驱动型及流程驱动型的差异化策略选择，呈现链条式及松散耦合式的路径特征。第三，数智化解决方案涵盖“产品+服务+平台”三种核心要素，要素间呈现差异化的协同作用和共生关系。本研究发现为探究不同用户需求类型的企业如何基于数字平台开发数智化解决方案提供了理论支撑和实践启示。

As market competition intensifies and user demands become increasingly personalized,companies are transitioning from merely offering products or services to providing digital and intelligent solutions driven by user needs. However, in the context of differentiated and personalized user demands, how businesses can meet these needs through customized digital and intelligent solutions remains insufficiently explained in theory. This paper, from the perspective of user demand insights, conducts a comparative case study of two digital solution providers, Daxin Home and Little Orange Group, to explore the mechanisms and path characteristics in the development of digital and intelligent solutions. The study finds: first , in the context of differentiated and personalized user needs, companies use digital platforms to gather insights into user demands. Companies conducting algorithmic searches based on functional needs show characteristics of accuracy and immediacy , while heuristic searches based on hedonic needs display characteristics of agility and interactivity. Second, depending on the types of user needs, companies adopt differentiated strategies, either design-driven or process-driven, showing either chain-like or loosely coupled path characteristics. Third, digital and intelligent solutions encompass three core elements:“ product+service+platform, ”which exhibit differentiated synergies and symbiotic relationships. This study provides theoretical support and practical insights into how companies can develop digital and intelligent solutions based on different user demand types via digital platforms.