RPA technology gives employees the ability to configure a “robot” or artificial intelligence (AI) system to ease the way they do things such as processing transactions, manipulating and analyzing data, automating responses, and communicating with other systems. All these free them from tons of repetitive tasks, allowing them to focus on those that can’t be automated. Here’s how it works.
In this post, we will dive more into RPA technology and discuss its current real-world use cases.
The Power of RPA: Current Use Cases
Similar to how robots are revolutionizing manufacturing, RPA use is also changing business processes. It improves accuracy, reduces cycle times, and enhances productivity. One of its most significant functions is to automate processes, allowing employees to delegate dull and repetitive tasks to AI systems or robots. RPA can also automate back-office tasks related to supply chain management (SCM), procurement, finance, and even human resources (HR).
One example is presentation layer automation. The presentation layer translates data into something that humans can interpret. For instance, when we fill up forms, the presentation layer is the one that puts our name, birthdate, and other details in the appropriate fields. That is where RPA can help. Because RPA software behaves just like human beings, RPA robots are meant to interact with the presentation layer of a software, too. And since developers no longer have to make improvements to the presentation layer manually, they can focus on other tasks.
Presentation layer automation plays a part in the following use cases of RPA technology:
1. Customer Service
Customer service teams need to provide resolutions to issues quickly. RPA use makes it possible to create automated customer care systems that instantly identify problems, especially since research shows that more than 80% of customer service responses are rule-based. For example, an organization can use RPA-enabled software to filter customer queries and send these to the correct departments.
2. Payroll Processing
Processing payroll is one of the most time-consuming activities in any organization. Most of it involves repetitive tasks that use up considerable time of HR personnel. RPA technology can automate payroll functions and even improve the accuracy of the data used. RPA, for example, can check data consistency across multiple systems. It can also verify timesheets, calculate earnings and deductions, and even automate the creation of paychecks.
3. Sales Order Preparation
An equally tedious task that organizations have to do is processing sales orders. Employees spend considerable time inputting data into customer relationship management (CRM) and enterprise relationship management (ERM) systems. RPA technology can automate tasks such as sales order entry and invoicing. That can improve database maintenance and management, allowing sales representatives to focus on prospecting, which will enhance an organization’s bottom line.
4. Customer Information Storage
RPA is also useful in storing all sorts of customer information to ensure that users can easily access it. For example, RPA can help automatically categorize customer data according to customer name, contact details, purchase history, and product preferences.
5. Sales Invoice Processing
Processing tons of invoices is prone to error because of its repetitive nature. Tedious tasks make doers prone to mental fatigue. Invoices must be error-free. RPA can help in data entry, error reconciliation, and even rule-based decision-making.
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RPA can remove the stress of performing menial tasks from employees, allowing them to focus on tasks that require their attention most. Automating processes can also translate to increased revenue.
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