RPA uses a variety of technologies to automate business processes.

These technologies include, but are not limited to: Screen grabbing technology: RPA software is able to recognize images and user interface elements on the screen and automate tasks by simulating the actions of human users on the computer, such as clicking, typing, etc Workflow technology: RPA uses predefined rules and logic to define automated processes, which can include data processing, trigger responses, and more.

Workflow technology ensures that RPA robots perform tasks according to established processes.

Data processing technology: RPA robots can process various types of data, including structured data (such as information in databases) and unstructured data (such as documents, emails, etc); Data processing technology involves the process of data extraction, transformation, loading and verification.

OCR (Optical Character Recognition) technology: OCR technology enables RPA robots to recognize and parse text information in images, thereby converting data from paper documents or images into editable text formats.

Integration technology: RPA robots can be integrated with a variety of applications and systems, including ERP, CRM, databases, etc Through apis (application programming interfaces) or other integration methods, RPA robots enable data transmission and processing across systems.

Artificial intelligence (AI) and machine learning (ML) technologies: While traditional RPA is mainly rule-based automation, modern RPA platforms are beginning to incorporate AI and ML technologies to enhance the intelligence level of robots; These techniques can help RPA robots handle more complex tasks, such as understanding context, processing unstructured data, and more.

In summary, RPA uses a variety of technologies such as screen grabbing, workflow, data processing, OCR, integration, as well as artificial intelligence and machine learning to automate business processes.