Jobs and Fields where RPA Can Be Applied

RPA application brings many benefits to businesses such as: shortening order processing time, minimizing errors, improving performance, improving customer experience... So RPA can be applied in these industries. Which jobs and fields can achieve the above benefits? Let's find out the details right below!

Trends and effectiveness of automation using RPA

RPA or Robotic Process Automation means process automation using robots. This is an automation technology application created to perform repetitive, cyclical manual tasks to improve work efficiency. In more detail, the benefits of RPA application bring:

  • Allows control of the entire enterprise's operations

  • Helps save operating costs and operating time

  • Helps free employees from manual work, so they can focus on more important and valuable work

  • Minimize errors and improve work accuracy

  • Enhance customer experience…


The RPA market is predicted to reach $2.9 billion by 2021 according to Forrester. This is also the top 10 hottest technologies on the market in the 2020s, according to Gartner.

Processes and tasks suitable for RPA application

The way RPA works is that it will operate on the interface layer of the browser, software... so to apply RPA, tasks need to ensure some of the following characteristics:


  • Manual, repetitive process;

  • Errors are likely to occur;

  • Based on each business's own rules;

  • Has a lot to do with digital data;

  • Strict in terms of time and seasonality.

Many processes or tasks in businesses today possess the above characteristics. Let's learn more about these processes and tasks:

Automate the sales process

Jobs in the sales process such as: warehouse management, order management (receiving orders, identifying and classifying products, checking warehouses, preparing ex-warehousing records...) are all important jobs. manual and repetitive, so RPA can be applied completely.



At this time, using RPA will help increase order processing time, reduce personnel costs, minimize errors... Statistics show that some manufacturing/retail businesses have helped to apply RPA. Reduce the time to process an order from 20 - 30 minutes to 3 - 5 minutes, improving productivity.

Automatic payment and money transfer

Corporate accountants and bank tellers currently spend a lot of time handling hundreds of repetitive tasks such as: payment transactions, money transfers, processing and extracting payment invoice data. …


Applying RPA to these tasks will help transactions take place quickly, improve customer experience, and also ensure high accuracy, limiting the occurrence of incorrect transfers and incorrect payments.

Read more articles about RPA here

Data management

In data management, there are many repetitive tasks that can be applied to RPA: receiving information, storing invoices, entering customer information, synthesizing, reporting...


Applying RPA to these tasks will help reduce data collection and processing time. The reason is because RPA can retrieve information in many different formats, from many departments such as sales, marketing, human resources...


In particular, RPA solutions also provide good support in data validation and cross-checking with publicly available databases. For example, deploying RPA in HR operations, performing cross-checks between login times in the corporate network with HR absence reports to validate attendance declaration data.

Create reports, send emails, internal notifications

Many large businesses and corporations have chosen RPA to perform tasks such as creating reports, sending emails, internal notifications... to reduce the load on personnel and improve information transmission efficiency.


These tasks will be pre-programmed to automatically create mass emails based on data taken from multiple systems. Personnel will not have to filter data or send notifications or emails manually like before, but will have time to handle other important tasks.

Customer relationship management

CRM (Customer Relationship Management) includes saving customer data for future use, evaluating potential quality, sending email/sms notifications and after-sale customer care. Instead of doing these tasks manually, you can apply RPA to gain benefits such as:


Automatically enter information and build highly detailed customer data. Thanks to that, the sales department can spend more time on professional sales activities.

Allows you to generate and receive detailed payment data quickly after the customer completes payment.

Quickly solve simple problems for customers such as: creating accounts, issuing bank cards, responding to questions...

These will provide maximum support in minimizing customer waiting time, enhancing benefits and maximizing customer experience.

Handling documents, vouchers and documents

The main goal of comparing accounting documents and documents is that the records do not contain errors. To ensure reliability, accountants need to make comparisons between documents, for example, cash books and bank statements. Performing confirmation activities, comparing information on invoices, and recording and analyzing manually often causes accountants to encounter many difficulties.


If you apply automation to the document processing process, it will allow scanning of information on invoices in any format. Then, the bot automatically analyzes and compares invoice information and the seller's operational status - ensuring the legality and validity of the invoice. Automated processes help save costs, save time and minimize errors during manual reconciliation.

Automate salary calculation

The human resources department is probably where the most manual processes occur in a business. Typical examples include salary calculation and payment activities. To limit the risk of errors when calculating payroll, businesses can apply RPA solutions.


RPA can prepare detailed timesheets for each employee to serve payroll calculations. From this data along with other personnel data, the system automatically calculates salary for each employee with absolute accuracy.

4 common RPA application areas

Currently, there are 4 main industry groups that can be considered typical representatives suitable for RPA application, including: manufacturing/retail, finance and banking, telecommunications, and logistics.

Application of RPA in the field of finance and banking

The Finance - Banking sector has many manual tasks that can apply RPA such as collecting input information, exchanging information and processing withdrawal information, money transfers, loans... Furthermore, these tasks In this field, it is required to minimize errors and need high accuracy. This shows that implementing RPA in the banking sector is very suitable.


Automation with RPA will help financial businesses and banks shorten the time to collect information, automatically analyze and export reports, and minimize errors...


Jobs that can apply RPA in the finance and banking sector:


  • Mortgage lending: Bot will support customer background checks to process applications and send information to the department with authority to grant loan funding. At the same time, the bot also manages and monitors customer loans.

  • Payment: Allows creation and recovery of payment orders and payment processing. The bot also monitors alerts and screens before and after payment orders are made…

RPA in the manufacturing/retail sector

The manufacturing/retail sector faces many difficulties in order management, invoice processing, and manual inventory control, leading to high costs and not as effective as expected. When applying RPA, it will help increase sales productivity, reduce personnel costs, shorten order processing time from 20 - 30 minutes/order to 3 - 5 minutes/order...


Several processes in production/retail can be automated with bots, including:


  • Applying RPA to create BOM (Bill of Material) allows customers to consult before making purchasing decisions; automatically collect and process data to produce reports; Customer care support with automatic responses to customer complaints and feedback...

  • Apply RPA to process invoices: scan, read and check invoices according to orders, automatically send invoices to relevant departments, enter invoices into the system and mark invoices after order completion …

RPA in telecommunications

The telecommunications sector has operational services such as customer support, payments, order fulfillment, etc. These repetitive processes are becoming complex and difficult to handle because there are millions of people across many segments. different segments to register for use. Therefore, many telecommunications businesses have chosen RPA solutions to overcome the above challenges.


RPA use cases in telecommunications include payment processing, customer service, number porting capabilities, speeding up document verification and SIM allocation, data entry, data processing, management data… Specifically:


  • Network management: Apply RPA technology for incident, event, and diagnostic management so network engineers can focus on more complex processes.

  • Answer customer questions: Bots can answer simple questions for customers or redirect complex questions to humans to serve customers immediately, increasing customer experience .

RPA in Logistics field

Logistics is a very complex industry, including many well-coordinated tasks, such as order processing, inventory, scheduling, delivery tracking... Therefore, RPA application is the key. change the game for the future of this industry.


Logistics businesses that choose automation solutions with bots can reduce the number of personnel, minimize order processing time and quickly deliver goods to customers. At the same time, RPA applications also help logistics businesses improve work processes to reduce costs. Specific applications such as:


  • Shipping management: RPA bots will track orders and update each order details across all relevant systems, create notifications for customers if there are delays, update orders real-time goods.

  • Supply and Demand Planning: Having complete record information, sales data sets, market indexes and orders will help managers shorten the time to make forecasts and appropriate business plans.

Thus, there are many processes, tasks and industries that can benefit from the application of RPA. Therefore, businesses should not hesitate to research, search and apply RPA implementation.


Related Post: https://www.msn.com/en-us/money/technology/rpa-machine-learning-ai-what-s-the-difference-and-how-to-combine/ar-AA1nqis5

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