@thesis{Mukherjee2021, author = {Mukherjee, Apratim}, title = {Robotic process automation with Blue Prism to optimize inventory management}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-36617}, pages = {xix, 70}, school = {Technische Hochschule Ingolstadt}, year = {2021}, abstract = {Now a days robotic process automation is a lifeline for most business enterprises \& it is a one step ahead towards futuristic approach of a high-tech modern world. These services cannot be provided efficiently with an ineffective inventory management system in place. Technological advancements \& upgradations enable enterprises acquire information systems to improve operational efficiency. Manual data entry into warehouse management systems has its own drawbacks including error rates, high time consumption \& more labour work investment in additional personnel to countercheck the accuracy of manually entered data. Following domains were used for the clear explanation of the whole idea of processes automation. ▪ Screen Scrapping Software ▪ Inventory Data Management \& Optimisation ▪ Magic Quadrant \& Cost Benefit Analysis ▪ Data Migration Robotic process automation, a disruptive, new technology leveraging on artificial intelligence was used in this study to automate the business processes performed in the inventory control and management module of a warehouse management system. Important \& quality literature was reviewed to better understand how the technology has been implemented in other organisations. For this entire research study, two important RPA software's i.e., blue prism \& UI path studio has been used for running the debugs and performing a dummy run program. Processes and data's that were selected for automation had been taken from use cases and expert interview with RPA companies. This study delivers several benefits to the organisation including Increased accuracy of the information captured in the system; Reduction in error rates during data capture; Significant reduction in time consumed during execution of tasks; Cost savings due to reduction in operational costs, process improvements, increased productivity, and Redeployment of employees to higher value functions. Results from solutions testing showed that majority of the respondents agreed that the software robots had attained the desired results. The aim of this research paper was to explore ways through which technology could be leveraged to transform manual business processes into automated and streamlined processes through robotic process automation technology. The conclusions drawn indicated that process automation increases operational efficiency and employee productivity through redeployment to more cognitive based task.}, language = {en} }