In order to improve the quality of digital delivery data and reinforce the data foundation for digital factory construction projects, this study took the implemented digital delivery projects as the research subjects to explore the crucial elements and inspection items of the quality review system. In light of the current challenges and limitations in the review process, improvements were made to the original review plan by introducing review tool modules, integrating review reports, and other methods.The review process was optimized, and the implementation effect of the overall technical improvement plan in the project was analyzed. The findings show that:1) The establishment of a comprehensive quality review organizational framework, the determination of a rational review entity responsible party, and the formulation of a complete inspection plan for deliverables have significantly enhanced the quality of digital delivery data across the entire factory. 2) The pre-positioning of 2D and 3D model consistency check, the introduction of preliminary review and intelligent review tools, and the development of integrated reports have strengthened the integration of design review and verification, reduced design rework and manual operations, and improved the accuracy and efficiency of the review process. 3) After the application of the above advanced review technologies, the error rate of reports has decreased by 51.87%. The number of review rounds has been reduced from 12 to 8, and the time required for reviewing the delivered data of the entire factory has been shortened by 80%, ensuring that the owner can accept the deliverables of the entire factory according to the original plan.The research results can offer solutions and insights for the quality review of digital delivery data, laying a solid foundation for the smooth implementation of digital delivery tasks and the construction and operation of digital factories.