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Robotic Process Automation (RPA) technology has been considered an essential digital transformation tool in operations and supply chains due to its lightweight approach to automating and optimizing repetitive tasks and controlling end-to-end business processes. However, there are still few works in the academic literature referring to the RPA theme with the approach focused on the supply chain. Moreover, few studies combine technology acceptance models criteria with multicriteria methods to propose a robust methodology for technology selection in the Industry 4.0 (I4. 0) era, and there is no research relating RPA adoption through the lens of innovation diffusion theory (IDT). Thus, this paper aims to evaluate RPA platforms in the context of I4. 0 and through the lenses of IDT. The research methodology involves an empirical assessment of RPA platforms to be selected for procurement processes of an offshore company, combining two multicriteria group approaches: Fuzzy Delphi and AHP-express. Results indicated that the Workfusion RPA platform was the best platform to be applied in the purchasing area of the company, which may be related to its good performance in structured data processing, assisted automation, and RPA applications developed for front-end users criteria. From a practical point of view, the work contributes to a new methodology for selecting RPA platforms for the procurement sector.