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Our client faced a formidable challenge in their daily operations - the need to streamline and eradicate errors in a high-volume data entry process. Manually entering vast amounts of data consumed valuable time and introduced the risk of human errors that could have far-reaching consequences.

We deployed RPA bots powered by UiPath, a leading RPA platform, to automate the data entry tasks. These bots emulated human keystrokes and mouse movements to interact with the existing software systems and applications for data entry. UiPath's automation capabilities allowed us to develop custom workflows that mirrored the client's data entry processes. These workflows were designed to handle a wide variety of data formats and input sources, adapting to the dynamic nature of the client's business operations. Data extraction from source documents was streamlined using Optical Character Recognition (OCR) technology, such as ABBYY FineReader. This technology enabled the bots to accurately capture data from scanned documents, invoices, and forms.

Our client was looking for a solution to managing a continuously growing volume of customer inquiries and requests, primarily received through email. As the client expanded, responding to these inquiries promptly became increasingly challenging.

We deployed RPA bots, driven by UiPath's automation platform, to automate key elements of the customer support process. Natural Language Processing (NLP) algorithms, integrated into the RPA bots, allowed for extracting intent and key information from customer emails. We employed a chatbot solution for FAQs and routine inquiries, which integrated with the RPA bots. This chatbot, powered by AI technologies, provided instant responses to common customer queries, reducing the workload on human agents. To enhance the efficiency of human support agents, we integrated a ticketing system, such as Zendesk or Freshdesk, into the solution. The RPA bots automatically generated and managed support tickets based on customer emails, ensuring every inquiry was tracked and addressed.

Our client confronted a significant hurdle in their digital transformation journey - integrating data from aging legacy systems that needed more modern APIs and compatibility with their newer applications. The disconnect between these systems hindered data exchange and efficiency.

RPA bots were programmed to mimic a human operator's manual steps to retrieve data from the legacy systems. The bots navigated the user interfaces of the legacy applications, interacting with screens, inputting commands, and extracting data. Data transformation and normalization were key components of the solution. The RPA bots processed data from the legacy systems, converting it into formats compatible with modern applications. Custom logic and business rules were applied to ensure data accuracy and integrity. Integration connectors, including RESTful APIs and web services, facilitated the seamless transfer of transformed data into modern applications. These connectors allowed for real-time data synchronization, eliminating delays and reducing the risk of data discrepancies. They could detect data retrieval and integration issues, initiate error resolution processes, and notify human operators if necessary.