ROBOTIC PROCESS AUTOMATION

 

                          

ROBOTIC PROCESS AUTOMATION:

Robotic process automation (RPA), also known as software robotics, uses automation technology to simulate back-office functions performed by human employees, such as extracting data, filling out forms, moving files, etc. To integrate and carry out repetitive operations between enterprise and productivity applications, it mixes APIs and user interface (UI) interactions.

 

WORKING:

RPA is not a physical robot but software running on physical and virtual machines. RPA is used when we have to handle repetitive tasks like sometimes, we fill in the same information at different places. It is operated by running a set of workflow tasks. It gives some instructions about what to do and how to do it at different stages of the workflow. Once the task is requested, the software runs and completes the whole task accordingly as many times as we want. If there is any incorrect data in bots, the software will send a request for correct data.

There are usually two types of integration methods:

1.  Back-end RPA Integrations: TA server accesses our systems and controls them It is based on when we carry out back-office tasks and it needs very less employee work.
2.  Front-end RPA Integrations: This is like human operators as front-end automation can read and write data on the user interface of applications. It could be controlled as well. When we do not want to show the user some details, the application owner can create it

 

APPLICATIONS:

·       Supply chain: RPA has created a major impact on the supply chain field. By integrating information across shippers and operation managers, companies can better communicate with their customers when unscheduled events occur, like delivery changes or delays. By communicating ahead of time, businesses can improve overall customer satisfaction.

 

·       Telecom: The telecom industry has seen massive growth over the years driven by IoT,5G, etc., by the use of robotic process automation. In the case of high demands, RPA makes the process of streaming apps and creating a better infrastructure easier for the telecom industries. RPA can also help providers automate customer recordkeeping, improve customer experiences, keep services affordable and uninterrupted, and monetize new 5G services.

 

·       Banking and financial services: According to the Forrester report by 2023 the market for RPA services will be reaching a high top billion in which the major contributor is the finance and accounting sector. more than one-third of bots are in the finance industry. Today, many major banks use RPA automation solutions to automate tasks, such as customer research, account opening, inquiry processing, and anti-money laundering.

 

·       Retail: The rise of e-commerce has made RPA an integral component of the modern retail industry by automating tasks that impact both customers and employees, such as collecting employee information for onboarding, scheduling, and payroll. All the repetitive steps can be done easily with the help of RPA which helps improve customer service as well as increase the speed of providing services and frees employees to focus on more value-added and impactful actions.

 

·       Healthcare: Accuracy and compliance are the major factors affecting the healthcare industry. Some of the world's largest hospitals use robotic process automation software to optimize information management, prescription management, insurance claim processing, and payment cycles, among other processes. RPA helps in helping organizations become more efficient and effective and improving the employee and customer experience.

 

·       Insurance: The insurance industry is full of repetitive processes well-suited for automation. RPA helps in generating documents and policies faster and more effectively. Agents work more efficiently with RPA tools, meaning the volume and length of customer calls are reduced, and customers are more satisfied. It also means being able to streamline renewal tasks, such as pricing and policy documentation, freeing employees to spend more time on customer retention.

 CONCLUSION:

There is no requirement for coding as we can create these bots using a simple GUI. It is also secure and follows industry regulations. Some of the RPA also allows dynamic interaction while debugging i.e., we can change the code and it won’t stop working the currently running process.

RPA increases productivity and speed as these software robots complete complex tasks faster. Therefore, there is less labor work involved. On the other hand, there is more employment of labor in new techniques developing in RPA, so continuous learning and training sessions must be provided as shifting to new and better techniques is essential.