The Top 10 Most Amazing RPA Projects of All Time

Many businesses are looking at Robotic Process Automation (RPA) to help them enhance efficiencies and cut costs. RPA assists firms across a wide range of industries in completing a variety of activities. There are plenty of excellent RPA Projects available. Here, you will explore the top 10 RPA projects.

This tutorial on “RPA Projects” covers the following projects:

  • Web Scraping
  • CRM Upgrading
  • Support Sales and Marketing Process
  • Data Migration
  • Call Center Operations
  • Onboarding Employees
  • Payroll Processing
  • Legal Process
  • Data Wiring for Healthcare
  • Claims Processing

Robotic process automation provides numerous benefits in various industries that are critical for providing appropriate service. Here are the top 10 real-time RPA projects. So let’s begin, firstly, you will look at -

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Web Scraping


The first RPA projects is web scraping. It is also known as web harvesting, web automation, screen scraping, and web data extraction because of its function. Scraping is a method of extracting a vast amount of data from a website and saving it to a local file or database.

Businesses frequently search for relevant information on a competitor's or a specific website. However, the data on most websites can only be read, there is no way to copy it for personal use. As a result, it warrants a time-consuming action of copying and pasting data. In a fraction of the time, you can accomplish this with Robotic Process Automation.

The web scraping software is programmed to load and extract the relevant data automatically. As a result, you'll save energy and money. Various businesses use web scraping, from e-commerce stores to stock dealers, to get data. Manual web scraping, on the other hand, might be very costly. 

Let’s talk about the next RPA project, i.e., CRM Upgrading.

CRM Upgrading


Customer relationship management (CRM) is a set of techniques, methods, and technologies for managing customer interactions and data. CRM is used to increase customer interactions, loyalty, and sales across the customer life cycle.

Employees in this field typically have basic, repetitive, and rule-based work with moderate or high volumes, making this an excellent choice for RPA, where a bot replaces human effort. Experts have designed RPA systems to handle tasks like this. RPA can perform repetitive, rule-based, and high-volume activities with ease.

CRM systems collect data about clients from many channels and points of interaction. The company's website, phone, live chat, direct mail, marketing materials, and social media are examples of these channels.

RPA systems are already in use and completely functional. They can accomplish any repetitive task that a human undertakes in a more innovative way using cognitive technologies. Because of the high cost and operations management benefits provided by RPA, experts project a significant shift in business processes to occur very soon.

Next comes, support sales and marketing process RPA projects

Support Sales and Marketing Process

Sales and marketing departments are among the most revenue-generating areas in many businesses and it is considered as the best RPA projects to work on. You want to free up your sales team from repetitive tasks and concentrate on sales to create leads and drive growth. Companies large and small discovered that removing the hurdles that prevent sales and marketing workers from executing in their critical jobs can help them maximize their time.

RPA automates tasks on behalf of employees by combining software robots with business rules.

It is well known that the interface of marketing and sales is frequently used to attract new customers. While marketing has advanced significantly in terms of automation, sales productivity still relies heavily on human involvement. 

Nonetheless, there are a variety of sales-related sub-functions that you can automate, a few of them are as follows:


Next comes the sales strategy and long term planning RPA projects.

Sales Strategy and Long-Term Planning

Forecasting, labor planning, resource allocation, and channel strategy are all things that need to be considered.

Lead Identification and Qualification

This includes pipeline management, as well as planning for new and existing clients.

Pricing and Quotations

Setting bids, coming up with technological solutions, negotiating, and contracting are all things that are done in pricing and quotations.

Management of Orders

Credit checks, invoicing, and order processing are all things that need to be done.

Management of After-Sales Services

Monitoring, follow-up, and management of post-sale requests regularly.

Assistive Function

It covers reporting, analysis, training, administration, and the development of sales materials.

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Data Migration

The next RPA project is data migration. Data Migration is the process of moving data from one location to another, from one format to another, or from one application to another. This is usually the outcome of introducing a new data system or location. One-time activities like data migration and test data generation are frequently overlooked. However, RPA's ability to seamlessly connect systems with no time and cost-intensive programming of interfaces and stand-alone applications may be beneficial for these purposes.

One of the most challenging aspects of data transfer is the range of source systems and, as a result, the variety of data formats. To tackle this problem, they routinely use complex mapping tables, intermediate formats, and data cleansings. These tasks increase migration expenses and quickly escalate to a point where the complexity appears unmanageable.

RPA, which automates typical processes, provides a simple, cost-effective, and efficient solution to these issues. Some benefits that RPA provides for data migration are as follows:


High Adaptability at a Low Cost

Developers built RPA to work with an almost limitless number of systems, interfaces, and data types. It built this feature into all RPA software systems and is available "out of the box." You can do any client-specific customizing quickly and easily.

High Quality of Data

RPA uses existing GUIs rather than bespoke interfaces. The underlying systems’ plausibility tests quickly detect discrepancies or data quality issues. As a result, before it delivers your migration data to the destination systems, it scans and corrects it. RPA can also be used to generate any quantity of test data needed to improve the quality of the routines.

Efficient Documentation

RPA software's flexibility allows it to create practically any log file required in a given situation.

RPA may generate log files at any degree of detail and in any file type like txt, word, excel, pdf, etc., and then propagate the results as needed (storage on a network drive or SharePoint, distribution by mail, etc.)

Call Center Operations


When a customer contacts an agent, the agent must first identify them in the system to obtain relevant data such as order status, order number, pending support tickets, shipment ID, etc. This requires the agent to interact with the customer while simultaneously moving from one system to another. The database contains the customer's information and the other system, which includes additional information.

Customers must wait while the representative is busy dealing with data, sometimes asking for information already requested. This decreases customer satisfaction and extends call duration.

RPA takes a user-friendly approach to data integration and process management. It eliminates the need to switch between different applications by loading a complete customer profile from numerous systems by automating application launches, mouse clicks, and field entries.

When you use RPA in call centers, it drastically decreases the time it takes to locate a customer in the system and examine all information about them on a single screen. As a result, the customer does not have to wait for the agent to load all the information, resulting in improved customer service and a shorter average call length.

Onboarding Employees


HR is one department that is actively considering introducing RPA into its working procedures, focusing on the onboarding process.

The onboarding process prepares new employees for their new workplace by providing them with the essential knowledge, skills, and behaviors. This process usually begins before the first day of work and is a crucial aspect of integrating a newly hired employee into the organization’s payroll and internal databases.

Employee onboarding sets the tone for a new employee's career with the organization. Yet, mostly, onboarding new staff is still a tedious and wasteful procedure. RPA improves HR procedures that are still run on older systems, such as onboarding, by adding new functionality, decreasing human error, and securing data.

The organizations could cut the processing time to 3-4 minutes per new employee using a combination of RPA bots. The greater accuracy of the automation also reduced the time required for examining and rectifying problems previously. The organization optimized data input, resource allocation, and error handling by monitoring the automated process.

The tasks performed by RPA bots in the onboarding process are as follows:

  • Screening resumes
  • Fill in the process of new hire
  • Verify candidates' information
  • Induction & training
  • Employment management
  • Send notifications

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Payroll Processing


Payroll processing is a critical company operation that involves calculating employees' net pay after deducting applicable taxes and deductions.

Payroll processing is one of the most important and one of the most time-consuming operations in any company. Because of the importance of accuracy to avoid stiff IRS penalties, manually updating payroll systems is complex and potentially costly. Because of the high risk and the time-consuming nature of manually updating records, businesses have turned to automation to reduce mistake rates and time wasted.

By implementing RPA, all payroll updates received through email from customers are handled by the RPA bot, which automatically inputs them into the SAP system. In approximately a few weeks, the RPA solution was up and running, automating 90% of the previous labor necessary to process these requests.


RPA in the legal process means that your lawyers and specialists will be able to respond quickly to rising client and internal stakeholder demands in terms of legal and compliance processes. In-house legal departments and independent law firms both can benefit from Robotic Process Automation solutions for legal. This frees up all of your highly qualified legal professionals to focus on what matters most: learning the law and providing the best legal advice possible to clients.

RPA automates operations on top of existing systems, such as legal documents, spreadsheets, pdf, scanned documents, websites, and apps like e-discovery tools, contract management systems, and more. In a simple editor, you can quickly design robots. Even lawyers and barristers can develop their automation.

Data Wiring for Healthcare


Healthcare providers strive to provide high-quality care to as many people as possible. However, both providers and payers must complete and handle various forms, documentation, and data. It collects all the data like patient records, provider information, and billing and payment information, processed, filed, and stored in a mess of segregated and separate systems.

RPA is a tool that aids in the digital transformation process. In a nutshell, it's the wiring that connects all the data in all systems in a way that's faster, more accurate, and more efficient than traditional IT approaches like complex business process management systems and custom application program interfaces (APIs) and others.

RPA combined with artificial intelligence (AI) can swiftly and accurately push and draw many data from one system to another. In addition to speeding up the system, it frees up humans to undertake more value-added work by removing time-consuming, low-value jobs from their hands.

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Claims Processing


The last RPA project in this article is claims processing. Claims processing is at the core of the insurance industry. The insurance company satisfies its commitment to its consumers, establishes service standards, builds credibility, and performs its obligations at this stage. It entails multiple administrative, managerial, and customer service functions, all of which are characterized by data-intensive manual labor and troublesome document formats.

Many insurers have already implemented automation, whether it's simple tasks like scanning PDF documents or more extensive workflow automation. On the other hand, these solutions are different, and each has its own set of issues. This adds to the complexity and difficulty of processing. 

This complicates the claims process, exposes it to errors, and adds to the expense. This is where RPA enters the picture as a fully integrated, end-to-end automation solution that overcomes the existing issues. 

RPA operates at the presentation layer, seamlessly interacting with all applications and systems, including older systems. It is entirely scalable to meet the user’s needs and offers robotic accuracy of up to 100 percent.

Learn RPA using the advanced UiPath platform with the Robotic Process Automation certification training course.

Next Steps

This tutorial on ‘Top 10 RPA projects’ covers the real-time RPA Projects in different fields. It explains with a problem statement for each RPA Project and how RPA provides the solution. 

Simplilearn's RPA Course will help you increase your knowledge of sophisticated, intelligent applications and put you on the fast path. RPA is one of the most widely used and quickly expanding technologies for enhancing real-time business operations and procedures. This course will summarise RPA concepts, RPA Projects, and the value-add of relevant business use cases and tool knowledge.

If you have any questions on the article or comments on the RPA Projects , please leave them in the comments box, and our experts will respond as soon as possible.

About the Author

Ravikiran A SRavikiran A S

Ravikiran A S works with Simplilearn as a Research Analyst. He an enthusiastic geek always in the hunt to learn the latest technologies. He is proficient with Java Programming Language, Big Data, and powerful Big Data Frameworks like Apache Hadoop and Apache Spark.

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