Abstract
The use of Robotic Process Automation (RPA) is expanding rapidly across industry verticals, geographies, and
varied company sizes and business models, with companies chasing benefits including cost optimization,
operations optimization, enhanced customer experience, lower errors in repeatable tasks, seamless
management and control, and quick implementation turnaround and return of investment. That is promoting
consistently increasing spending in RPA space. Industry analysts predict spending on RPA software and tools to
rise between $1.3 billion and $2.9 billion in 2021. While it is possible to execute RPA without a comprehensive
digital transformation program, the success of these digital transformation programs will not see complete
success or serve its purpose without the inclusion of some automation capabilities. Evidently past few years
RPA has seen some of most welcoming and the best adaptability in the corporate world, the academic research
requires an enhanced and focused theoretical and synoptical analysis of RPA specifically empirical and start
generating data sets. Performing a literature review and lifecycle analysis, we propose – in a holistic and
structured way –traits that define success of RPA, providing preference as well as a focus for further research
and challenges.
Keywords: RPA, automation, digital transformation.
Modules
Algorithms
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL • Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL