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.