What is Robotic Process Automation (RPA), Tools, Layer Design and its Applications

Robotic process automation (RPA) technology developed from the structure of Business process automation technology builds on the perception of Artificial Intelligence (AI) software bots.

Robotic process automation software bots are designed and developed for a particular task, compare to humans, It has the capability to perform huge volume and automatic repetitive tasks.

RPA can be helpful to handle the question and Answers, mathematical calculations, manage, maintain the records and digital transactions, etc.

With the help of the RPA tools, you can create your software robot or bot to Automate to your Business process.

Just like humans, RPA bots make use of the Graphical User Interface (GUI) for collecting the information and connect with the applications to perform huge volume and automatic repetitive tasks. With the help of this technology, you can get quality revenue for your business with less time compared to other manual Operations.

RPA software bots use the Graphical User Interface (GUI) to capture information and manipulate applications. Compare to humans, these software bots will never sleep, makes fewer mistakes, and also cost less than a salaried employee.

RPA professionals can be categorized into different types such as probots, knowbots, and chatbots.

1. Probots:

Probots robots perform small and repetitive tasks to Progress the data.

2. Knowbots:

With the help Knowbots, you can find out and collect and save the information from the web.

3. Chatbots:

Chatbots behave like the virtual agent; it can respond to the Answers as per the client request.

4. Advantages Of Robotic Process Automation:

Transform your Business or Organization in digital with the help of RPA technology.

Some of the Advantages of RPA are:

    • It provides best quality customer service.
    • Business processes or work completed on time much faster than humans (more Work in less time).
    • Less Cost, decrease the operating costs and increase the results.
    • Increase the productivity of your Business or Organization By using this Technology.
    • Increase the customer service of your Business or Organization By using this Technology.
    • Increase consistency and Quality By using this Technology.
    • And also get the real-world solution from the problems by using this Technology.
    • Flexibility and Scalability.
    • Low Technical obstruction.

5. Applications Of Robotic Process Automation:

Different types of Industries uses RPA.

a) Retail Industry (Online shopping):

Using this technology for e-commerce services, managing the orders taking feedbacks of the customer request and respond to the question and answers, manage and handle the shipping orders, etc.

b) Banking Industry:

Customer feedbacks respond to the request; you can also get complete information in the banking system. Identifying and obtain personal information, Transactions, debit, and credit information, enabling KYC, etc.

c) Human Resources (HR) (Payroll management):

Human Resources (HR) are essential for Businesses or any Organization, Human resources (HR) Departments are Large for big Organizations or businesses. If you can Handle the tasks in the Big Organizations is not an easy task. With Help RPA Technology, you can easily handle the Big tasks compare to humans.

d) Health Care:

Registration data, Maintain the Transactions, records, and More Details of the patients.

d) Transportation (Travel and logistics):

All registration and bookings data like Traveling tickets booking information and maintain the register passenger Information etc.

And some more Applications of RPA are:

  • Insurance Industry
  • Telecom
  • Finance Services
  • Supply Chain Management
  • Accounting
  • Customer Services
  • ERP Transactions
  • Data Analysis
  • Mass Emailing
  • Information and Document Storage
  • Travel and Logistics
  • BPO Industry
  • Manufacturing and Operations

If you Choose Any Organization or Business, There are the number of consistent tasks and time taken Operations are thereby Its Nature.

If you are doing these types of tasks vast chances of getting errors.because of its Repetitive tasks.Finally, If you Want to avoid these errors and also save your time, we need a RPA Software Tools.

Number of RPA software tools are available in the market such as

  • Blue Prism
  • UiPath
  • Automation Anywhere
  • Pega
  • Contextor
  • Inflectra Rapise
  • Nice Systems
  • Kofax
  • Kryon
  • 1Softomotive
  • Visual Cron
  • Workfusion
  • OpenSpan
  • AutomationEdge
  • AntWorks
  • Redwood software
  • Jacada

6. Layer Design Of Robotic Process Automation:

RPA is perfectly suitable for enterprise applications like ERP system software, SAP or any other data processing applications. The RPA applications can perform huge volume and automatic repetitive tasks.

There are four essential layers which are the First one is the process, Second one is sub-process, the Third one is the object, and Fourth one is the component.

a) Process:

The Topmost Layer In Layered Design Of RPA Is process layer. The Main Reason of the Process layer is to manage the processes in the Process layer.

b) Sub-Process:

The second one is the sub-process. The Reason of the sub-process layer have transformable business logic Identity and verification. The Advantage of the sub-process layer is reusability.

c) Object:

The third one is the Object Layer. Object layer has some procedures to Perform Particular task. The Advantage of the object layer is reusability of its systems.

d) Component:

The fourth one is the component layer. The lowermost layer in the layered design Architecture of RPA is Component Layer. The Reason of the Component layer is Specific screen interactions. The Advantage of the Component layer is low risk and faster changes.

Helpful Resources:

1. What is Google Chrome Helper, How Can It Help You?. Why Does It Use so Much RAM?
2. How Secure is a VPN? and Why You Need A Secure VPN?
3. Deep Learning (DL) and its Applications
4. 10 Best Programming Languages For Artificial Intelligence (AI) in [2020]
5. Artificial Intelligence (AI) or Machine Intelligence (MI) in [2020]
6. Machine learning (ML) Algorithms and its Applications

This post was last modified on November 11, 2020 3:29 pm

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