What are the benefits of RPA for Communication Service Providers (CSPs)?
Like every industry, telecommunications and CSPs are feeling the impact of technology on their business. And for an industry that is already complex and built on legacy technology and an intricate network of service providers, the impact is staggering. Everything from 5G and the Internet of Things (IoT) to Smart Cities are placing the telecommunications infrastructure under great stress.
To exacerbate this complex environment, due to rising competition, CSPs are losing market share as well as traditional pre-paid contractual revenue. They need to identify and capture new sources of revenue beyond television, wi-fi, fixed and mobile services. And they are still working within a highly regulated environment, a complex eco-system and demanding customers.
In order to remain competitive, CSPs are deploying innovative strategies to consolidate and harness data, streamline processes, increase efficiencies and better serve customers. They are finding ways to integrate and monetize smart city technologies, blockchain and data analytics to streamline fleet management, predictive maintenance and extended customer value chains to improve customer acquisition, growth and retention programs.
RPA will help address many of the biggest challenges telecommunication providers currently face. When applied properly, Robotic Processing Automation can be highly instrumental in overcoming many of these challenges. It provides them with an army of robots—digital workers—that can alleviate the workload of the operations teams and free up their time so they focus on the highest priority service issues, increase the quality of service, focus on more revenue-generating activities and deliver superior customer experiences.
The robots can help telecommunication companies and CSPs by executing repetitive, manual tasks. The robots perform these mundane activities and will alert the employees only if there are any discrepancies or issues, so the day-to-day simpler tasks can be taken care of in a fraction of the time without distracting the employees. Robotic Processing Automations work between a variety of computer systems without having to deploy expensive APIs or integration systems. It can be used for accounting, network issues and planning as well as customer service. The robots work 24/7/365. They never make mistakes and they have demonstrated immediate and quick returns on investment.
RPA multiplies the work capacity of the human employees by augmenting their abilities to process mundane tasks. This allows CSPs to reduce costs, increase accuracy and quality, improve efficiency and deliver a better customer experience. Specifically for telecommunication specialists, RPA enables network teams to identify faults, maintaining full quality service, collect and compile data for strategic planning and customer upgrades and provides a 360-degree view of the customer to support the customer service team. The robots help the operations team by managing and qualifying alerts, and helps the CSP’s financial and accounting staff by ensuring bills and customer invoices are processed quickly and accurately, all of which improves customer service and eliminates backlogs.
Robots Transform Customer Service Centers From Traditional “Cost” Centers into “Revenue” Generators
4 Ways RPA is Supporting Communication Service Providers (CSPs) on their Innovation Journey
According to Network World, 10% to 20% of telecom charges are billed in error. Not only does this harm the telecom’s reputation, but the financial impact can be significant. Government and auditing bodies who regulate the telecom industry charge hefty fines for overcharging customers. Many CSPs find it challenging to invoice correctly because they are part of a complex infrastructure, serving as aggregators of services, against a variety of Service Level Agreements in different geographies. While the CSPs execute due diligence, it is often difficult to know where the error lies. Is it with the CSP? Is it with a service partner? Or, the customer? Not knowing, or not having the resources to propertly investigate leaves the CSPs at risk of billing incorrectly and under the scrutiny of the regulatory bodies.
In a manual working environment, this process entails transferring customers from one department to the next, or from one partner to the next while a human worker checks the accounting and billing systems to identify the discrepancy. It gets even more complicated if a customer requests a change or cancellation of their services. The request goes through several layers of people and partners and like a game of telephone, the message can get lost in translation, leaving the customer to incur additional costs.
This is a problem that the RPA Robots are extremely suited for. RPA works hand in hand with Optical Character Recognition (OCR) software and Document Processing Automation (DPA) systems that automate the billing and invoice processes. The robots are given specific instructions and they don’t make mistakes so discrepancies are revealed much faster. Furthermore, the robots work 24 hours a day, 7 days a week and they never get tired, so they can process invoices at record speeds. They process transactions between any number of legacy technology systems without having to invest in expensive APIs, ERPs or integration software. They also leave a complete digital footprint of all activities. With this detailed audit trail, the bots can identify which services the customers has subscribed to, any upgrades and changes to their service. The robots take all of that information, consolidate it and send it to a human worker who can intervene if needed, resolve the discrepancy, and serve the customer quickly and accurately.
Maintaining extremely complex networks that evolved through a patchwork of old and new technologies is not an easy task. Without the right tools and resources to diagnose and maintain the networks, the service will not function properly and in such a complex environment, very often things go wrong and disrupt services. That’s the worst case scenario for the telecommunications industry. Irate customers contact the service center and create a backlog of inquiries and even worse, express their dissatisfaction on social media.
This scenario puts pressure on the network and operations teams who are investigating network alerts, which may be false positives but nonetheless, need to be addressed. At the same time, they are receiving inquiries and feedback from the service center who need help diagnosing issues so that they can better manage the customers. They need to know the root cause of the problems, the right department needs to be notified and the customer needs to know when they can expect their service to be restored. The network and operations teams have to prioritize dozens of requests and identify the quickest and most efficient way to avoid further outages and restore exiting outages.
This kind of chaos is where the RPA robots thrive and can help in several different ways. Using attended RPA automation, the robots can receive the alerts and work hand in hand, in real-time, with the network diagnostics software and human team, and based on pre-determined criteria, either disqualify the alert or generate a service ticket. This weeds out the lower priority alerts and moves the more critical alerts to the top of the queue.
Beyond this, RPA can run diagnostic tests using a business rule engine to determine whether a ticket can be eliminated or if it needs to be passed on to the operations team. Combining RPA with AI can help to increase accuracy even further by basing rules on historical patterns so the robots can provide even more accurate next best actions. This means most inquiries can be handled by the call agent, rather than the operations team, which reduces the “time to resolution,” increases quality assurance, optimizes efficiencies and above all, improves customer service, all while minimizing pressure on the operations teams.
RPA platforms with AI capabilities can help planning teams answer specific questions about their environment. The robots can help calculate capacity needs and provide an action plan with next steps. The choice to upgrade a network is a multi billion dollar decision. These pipes will stay in the ground for decades, if not longer. Capacity planning is therefore vital to the future health of any CSP.
With 5G around the corner, network planning is critical to ensure operators get the most favorable ROI. However, data is spread across CSPs’ infrastructure in silos, creating a challenge for the network planners seeking a holistic picture of the results and implications of their decisions. Making these choices without the help of automation is prohibitively time-consuming, extremely complex and an inexact science. Analysts must look at current and historical data on a range of areas such as predicting whether consumption is likely to increase, analyzing customer profiles to determine profitability based on location, assessing current quality of service and predicting whether there could be an increase in market penetration.
Robotic Automation Processing platforms can auto-recommend the shortest, most cost-effective path to lay a cable. Artificial Intelligence (AI) capabilities can also help network planners understand the density of population, so they can accurately predict future opportunities and recommend next best actions.
Customer service is an area that telecommunication and CSPs have traditionally fallen short. Though some automation has been introduced in areas such as self-service, telecommunication companies still rely heavily on traditional methods designed in their Service Centers. Yet customer service representatives aren’t armed with the most effective tools for servicing their customers due to the fact that the data they require is hosted across a multitude of computer systems in different formats, all of which need to be accessible in real-time.
The RPA robots can turn that model on its head and transform the traditional “cost” call center into a potential “revenue” center. Using attended robot ‘helpers’, RPA can automatically aggregate and harmonize customer data from multiple sources into a single 360-degree view of the customer, allowing them to answer a query fast than ever before, improving the customer experience and elevating the productivity of the call center staff.
Because RPA means less complex inquiries can be addressed faster, the customer service workers will have more time to execute up-selling strategies and generate more revenue for the company. This method of aggregating data can also support AI-driven responses. AI can be used to ‘learn’ from customer scenarios and suggest next best action decisions instantly – this improves customer experience, as well as creating cost reductions for businesses.