{"id":46470,"date":"2024-02-12T10:56:54","date_gmt":"2024-02-12T09:56:54","guid":{"rendered":"https:\/\/intellias.com\/?p=46470"},"modified":"2024-07-16T11:33:24","modified_gmt":"2024-07-16T09:33:24","slug":"the-future-of-rpa-in-telecom-bss-automation-in-the-cloud-era","status":"publish","type":"blog","link":"https:\/\/intellias.com\/future-of-rpa-in-telecom\/","title":{"rendered":"RPA in Telecom Industry: Use Cases & Business Benefits"},"content":{"rendered":"
Imagine a scenario where your routine is executed seamlessly, customer support is a well-oiled machine, and invoices are processed accurately. What could make this dream a reality? Robotic process automation (RPA), which can be a real game-changer for your telecom business. RPA for telecom is a strategic imperative, driving digital transformation and making businesses more responsive to evolving market dynamics.<\/p>\n
Our exploration of RPA in telecommunications unveils six game-changing use cases, all while embracing the simplicity and speed of low-code solutions. From optimizing customer support to ensuring accurate invoice processing, RPA is a tool to boost your business operations.<\/p>\n
But it\u2019s not all theory; we substantiate our insights with relevant statistics on the remarkable growth of RPA in the telecom industry, backed by our rich expertise. As we delve deeper, we reveal how RPA integrates seamlessly with cloud services like AWS<\/a>, empowering your business to harness the full potential of the cloud.<\/p>\n Learn how RPA in the telecom sector can bring both efficiency and profitability.<\/p>\n Robotic process automation (RPA) is an important modern element of a much wider concept known as business process automation (BPA). BPA focuses on streamlining the overall effectiveness of all business processes in an organization by creating a single coherent automation framework and integrating multiple components at a low level.<\/p>\n RPA addresses specific tasks and routines with pinpoint accuracy using a completely different approach compared to BPA. Instead of using hardcoded automation routines relying on APIs, direct database access, or middleware components, RPA fully emulates the behavior of system users via bots \u2014 pre-recorded action sequences or scenarios executed according to configurable rules.<\/p>\n Robotic process automation in telecom is considered one of the primary means of maintaining a consistently high level of business support systems (BSS )efficiency, as RPA scales with the growth of the subscriber base and supports the ongoing cloudification of traditional telecom<\/a> business processes. Combined with AI and ML, the technology also has the potential of addressing a variety of challenging tasks in the big data department<\/a>.<\/p>\n <\/p>\n Source: Protiviti<\/a><\/em><\/p>\n According to a 2022 article by Grand View Research<\/a>, the total volume of the robotic process automation market is expected to hit $30.85 billion by 2030, yielding a CAGR just north of 38% over the forecast period from 2023 to 2030.<\/p>\n Telecom companies have been among the most active adopters of RPA, and not without reason. The quantity of documents they process and interactions with customers, partners, and contractors dictates the need for intelligent automation at multiple levels. The promise that RPA once made has been fully delivered through off-the-shelf solutions (like UiPath, Microsoft Power Automate, Blue Prism, and Automation Anywhere) and robotic process automation services<\/a> from competent vendors familiar with industry needs.<\/p>\n Let\u2019s take a look at some of the most popular telecom use cases for robotic process automation and the value they deliver.<\/p>\n Telecom use cases for robotic process automation are extremely diverse and depend primarily on an organization\u2019s existing business processes and the pain points and bottlenecks the organization is striving to eliminate. However, there are a few common areas where most CSPs tend to start their RPA journey.<\/p>\n One of the areas where RPA truly shines is customer support. Dealing with a massive number of queries and converting them into categorized support tickets according to their content and service-level agreement (SLA) rules is a labor-intensive task \u2014 and that\u2019s what those macros excel at executing. RPA bots do a great job analyzing and interpreting incoming email and chat requests, responding to some immediately with predefined answers from the company\u2019s knowledge base while categorizing others and assigning them to a particular support group.<\/p>\n Throw in AI and ML algorithms and you can use natural language processing (NLP) and text-to-speech (TTS) for processing inbound and initiating automated outbound phone calls, make use of OCR for converting scanned images to text, and tap into massive arrays of historical data to create personalized user experiences. All of these elements can be implemented via off-the-shelf tools and custom telecommunication software development<\/a> services.<\/p>\n Managing accounts receivable and payable for millions of subscribers and hundreds of vendors is challenging, especially considering the ramifications of invoice errors. Well-implemented business support systems (BSS )automation with strategically embedded RPA bots helps automate this complex and tedious workflow, making it less prone to errors, delays, and data duplication.<\/p>\n A good example of finance-related automation in telecom is the processing of emails with payment requests from vendors and contractors or purchase orders from the company\u2019s procurement department. Bots can automatically open these emails, validate their source, extract meaningful data, and insert values into specific fields on a particular form in the company\u2019s ERP or accounting system, then send them to the appropriate employees for approval.<\/p>\n Such RPA use cases in telecommunications offer tangible advantages, both direct and indirect. From invoice discounts for early payments and higher vendor loyalty to access to better offers and improved employee satisfaction \u2014 all of these perks come as a result of letting RPA bots take care of time-sensitive and repetitive financial operations that employers would otherwise get swamped with.<\/p>\n Network issues can often be resolved (and even prevented) without replacing hardware or performing complex software reconfigurations. In many cases, preemptively increasing the threshold of a particular value or restarting a service\/hardware unit is enough to bring your network status back into the green zone.<\/p>\n RPA in telecommunications companies can be effectively combined with AI<\/a> to create highly autonomous intelligent bots that monitor network performance and replace live personnel in cases where human intervention is not required. Based on a complex set of predefined rules, these bots keep an eye on key performance metrics (such as network load, number of connections, bandwidth, and signal strength) and either act when a particular event occurs or send an alert or incident report to a corresponding system administrator.<\/p>\nRPA at a glance: what\u2019s in it for telecoms<\/h2>\n
Telecom use cases for RPA<\/h2>\n
Customer support<\/h3>\n
Invoice\/PO processing<\/h3>\n
Network maintenance and optimization<\/h3>\n