As evidenced by numerous research papers, laboratory automation is becoming a central aspect of modern chemistry and more generally of experimental and digital sciences. Automation enables the generation of data at a faster rate, reduces the likelihood of human error, and introduces automatic sample control sequences, thereby enhancing the systematicity of data acquisition. Automation is also less prone than humans to selection bias and frustration, which will help to improve the variety of available data, particularly in the context of negative data. The data quality and high-throughput potential of laboratory automation make it an essential component of the current closed-loop optimization and data-driven chemistry or formulation fast development. Automating a laboratory involves both the hardware constituted by scientific equipment and connecting robots, as well as the IT system management, including the data management system and the task management. Figure : Platform based laboratory automation scheme, adapted and modified from Bai et al., illustrates the fundamental components of a comprehensive laboratory automation system. The principal distinctions between the original scheme and the revised one are the incorporation of a Logistician actor for the ERP, consumable and waste management system, as well as the introduction of a Processor dedicated to processing data and analyzing the results in a systematic and controlled manner. This is necessary because the diversity of instruments in a completely automated laboratory makes it challenging to obtain structured results that can be further utilized in data sciences. The incorporation of such processors facilitates the standardization of data formats, structures, and quality prior to their incorporation into ML models. The final modification pertains to the incorporation of a Sample Transfer and Robotics tool to facilitate the transfer of samples over extended distances. Furthermore, automated actions may be applied directly to the sample, as it is the case in fluidics.