RPA and its Use Cases - Tech Simplified
What is RPA?
RPA is specifically designed to automate tasks performed by humans on computers. Most jobs that involve repetitive, tedious tasks and have high volume, tend to drain the joy out of our work. Instead of APIs, RPA uses digital workforce called bots to perform tasks based on GUI. RPA replacing traditional automation saves both time and resources. Bots improve accuracy, productivity, reliability and compliance of processes as compared to traditional automation techniques. Robotic Process Automation market demand in India is expected to increaseinthecoming years.
RPA in Various Industries
Robotic Process Automation is used to automate repetitive front- and back-office processes that call for human involvement. Automation of data entry, data extraction, and invoice processing are a few instances and use cases of RPA that we frequently run with. There are further instances of RPA being used to automate tasks in various business departments, such as employee onboarding, customer care services, supply chain management etc.
Here are some applications of RPA.
Answering Customer Queries:
In customer support, company must reply to queries that they receive on daily basis. To answer these queries, a bot using RPA can be developed so that the bot may reply to the queries depending on the type of concern.
Payroll Processing:
Invoice preparation is one such an instance that needs manual intervention month after month, each year. An RPA bot can be utilized to calculate the salary and pay automatically depending on the designation and various other parameters so that time and resources can be saved significantly.
Onboarding new recruits:
There is a specific procedure that must be followed when onboarding new employees into organizations. Many people have been employed in recent years to make this process easier. An RPA bot can be developed in order to guarantee that the necessary information is given to the new recruits and they have a smooth onboarding process.
Healthcare:
Hospital administrative works, such as tracking patient details, medical history, claims system such as complaints, appeals process, and other data gathering works.
Insurance:
Data handling, documentation, collection, and processing of documents and streamlining of workflows.
Banking/Finance:
Copy-pasting data to central systems from a remote system, automation of billing system to reduce errors, customer service, credit card, mortgage processing, fraud detection, KYC process, report automation, and account closure process.
Tax
Data sorting, automation of data retrieval process, filing tax appeal based on collected information and reducing manual data entry processes
Retail:
Product categorization, updating orders, and processing shipping notifications
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Written by NIELIT Aurangabad