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Pixel Tech AI/ML/ERP/Mobile App Development Company in USA, UK, India Pixel Tech AI/ML/ERP/Mobile App Development Company in USA, UK, India Pixel Tech AI/ML/ERP/Mobile App Development Company in USA, UK, India

Custom RPA Software
Development Company

13
Years of Experince

We provide Robotic Process Automation(RPA) Solutions that utilize bots to automate routine tasks

Pixel Tech AI/ML/ERP/Mobile App Development Company in USA, UK, India
RPA Software Development Company

What Can Pixel Tech RPA
Do For You?

  • Robotic process automation (RPA) bots are equipped with far more digital skills than people. Consider RPA bots as a digital workforce that can communicate with any application or system. Bots can do a variety of tasks, such as copy-paste, web data scraping, computations, file opening and moving, email parsing, programme logins, API connections, and unstructured data extraction. Additionally, there is no need to modify current corporate systems, apps, or processes in order to automate because bots may adapt to any interface or workflow.
  • RPA bots are simple to install, utilise, and distribute. You can configure RPA bots if you know how to record video on your phone. It is just as simple to use as dragging and dropping files around the office and using the record, play, and stop buttons. RPA bots can be shared, customised, cloned, and scheduled to run business processes across the organisation.

Next-Gen Digital Solutions For The Enterprises Of Tomorrow

How Pixel Tech RPA Benefits Your Business

  • Accelerated Transformation
  • Major Cost Savings
  • Greater Resilience
  • Higher Accuracy
  • Improved Compliance
  • Boosted Productivity
  • More Value From Personnel
  • Happier Employees

Our Portfolio

Fitness App

Hiit Nation

Dating App

Destined2Meet

mobile App

Madras Milk

mobile App

ATM

E-Commerce

SPVC

E-Commerce

terraZyme

Technologies To Drive More Value Along Your Digital Journey

Our team is adept at leveraging the most updated tools and technologies for developing smart mobile apps.

Frequently Ask Question?

Robotic Process Automation (RPA) is a technology that uses software robots or ‘bots’ to automate routine, rule-based tasks. It mimics human actions in interacting with digital systems to execute business processes.

RPA can increase efficiency, reduce errors, and lower operational costs by automating repetitive tasks. It can also improve customer service by reducing response times, and free up staff to focus on higher-value tasks.

Processes that are rule-based, repetitive, prone to human error, and involve digital data are suitable for RPA. Examples include data entry, invoice processing, and customer onboarding.

Traditional automation requires programming and system integration. In contrast, RPA bots interact with systems at the user interface level, mimicking human actions. This makes RPA more flexible and easier to implement.

RPA tools often use visual interfaces for process design, so no programming knowledge is required. However, some tools support languages like VBScript for more complex automation tasks.

The implementation time can vary depending on the complexity of the process being automated. A simple process might take a few weeks, while a complex one could take several months.

Almost all industries can benefit from RPA. It’s commonly used in banking, insurance, healthcare, retail, and telecommunications, but any industry with rule-based, repetitive tasks can benefit.

Risks can include process selection (not all processes are suitable for RPA), change management (staff may resist the change), and bot management (bots need to be monitored and maintained).

RPA can free up staff from repetitive tasks, allowing them to focus on more strategic, creative, and customer-facing tasks. However, it may also lead to job displacement in certain roles, so retraining and redeployment strategies are important.

AI can enhance RPA by enabling bots to handle unstructured data and make decisions based on complex rules or patterns. This combination of AI and RPA is often referred to as intelligent automation or hyperautomation.

RPA can automate repetitive tasks in customer service such as data entry, allowing staff to focus on customer interaction. It can also reduce response times and improve accuracy, leading to improved customer satisfaction.

The ROI for RPA can be significant, as it can reduce operational costs, increase efficiency, and improve service quality. However, the exact ROI will depend on the specific processes automated and the cost of implementation and maintenance.

RPA solutions are highly scalable. Once a bot is developed, it can be replicated across different processes or departments with minimal changes. This allows businesses to scale up their automation efforts quickly as needed.

Best practices include starting with simple, high-volume processes; involving IT from the start; setting clear goals and metrics; and investing in training for staff.

RPA tools have built-in security features such as encryption and access controls. However, like any technology, they must be used responsibly to ensure data privacy and compliance with regulations.

The future of RPA includes more integration with AI and machine learning technologies, enabling more complex processes to be automated. It’s also expected to become more accessible and user-friendly, allowing non-technical users to design and deploy bots.

Most RPA development companies provide ongoing support after implementation. This can include technical support, updates, training, and assistance with scaling the solution.

Most RPA development companies can provide case studies or examples of successful implementations. These can give potential customers a better understanding of how RPA can be used in their industry.

Employees may need training on how to work with bots, how to monitor their performance, and how to troubleshoot common issues. They may also need training on any new processes that are introduced as part of the RPA implementation.

RPA development companies typically have quality assurance processes in place to ensure the quality of their solutions. This can include testing the bots in different scenarios, monitoring their performance over time, and making adjustments as needed.

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