The Infosys Industrial Manufacturing practice introduces robotic automation across processes to streamline operations. Our experts automate components of motion, logical reasoning, and data processing by leveraging robots and Robotic Process Automation (RPA). Our design thinking approach decomposes physical movement and processes into discrete components to ensure business continuity during the deployment of industrial automation mechanisms on the shop floor and software robots in the virtual environment. Significantly, an ecosystem of humans, industrial automation solutions, and process bots boosts productivity and improves throughput.

We implement RPA in back offices and shared service operations to execute repeatable, rules-based tasks such as regression testing, payroll processing, and employee / supplier on-boarding. Our non-invasive software bots modernize legacy processes, including Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (SCM), and project management. End-to-end automation simplifies order-to-cash as well as procure-to-pay processes, while ensuring the accuracy of finance and accounting, trademark management, inventory management, and compliance systems.

Infosys RPA Centre of Excellence uses a ‘factory model’ to transform industrial manufacturing enterprises into cognitive units. Robotic automation of the data mining process allows enterprises to capture content in any format (text, image, audio, video) from any source (structured, semi-structured and unstructured) across devices. Moreover, it simplifies data extraction, migration and reformatting for reporting and analytics.

Our artificial intelligence-powered chatbot enhances Interactive Voice Response (IVR) systems by generating accurate and contextual responses. It can be trained to ingest large volumes of data to provide consistent and reliable service at HR, IT and customer helpdesks.


Challenges & Solutions

Artificial intelligence-powered automation boosts operational efficiency, leading to better quality of work life as well as industrial output.

Simulation of physical manufacturing systems and end-to-end validation of digital models ensure smooth automation.

Team of consultants defines the automation roadmap based on the architecture of hardware platforms, applications, processes, connectivity infrastructure, and third-party components.