Chemical synthesis is essential in industries such as petrochemicals

fine chemicals

and pharmaceuticals

driving economic and social development. The increasing demand for new molecules and materials calls for novel chemical reactions; however

manual experimental screening is time-consuming. Artificial intelligence (AI) offers a promising solution by leveraging large-scale experimental data to model chemical reactions

although challenges such as the lack of standardization and predictability in chemical synthesis hinder AI applications. Additionally

the multi-scale nature of chemical reactions

along with complex multiphase processes

further complicates the task. Recent advances in microchemical systems

particularly continuous flow methods using microreactors

provide precise control over reaction conditions

enhancing reproducibility and enabling high-throughput experimentation. These systems minimize transport-related inconsistencies and facilitate scalable industrial applications. This review systematically explores recent developments in intelligent synthesis based on microchemical systems

focusing on reaction system design

synthesis robots

closed-loop optimization

and high-throughput experimentation

while identifying key areas for future research.