5 Techniques for Reordering Telecom Service Order Management

A set of activities that consists of receiving an order from a customer and processing until the satisfied delivery is called Order Management. Generally, the process provides information about an ordered product or service price, technical options, and time frames. Telecom order management system registers and traces customer activities that impact the network. Service order management for telecom applications is employed to manage the end-to-end lifecycle of service requests. The activities comprise service validation, order request, order issuance, and order decomposition of a product or service. It even tracks the order along with orchestrating the activation.  

Order management transformation is a business-critical attempt. Various communications service providers (CSPs) have done futile endeavors to transform businesses. A transparent planning process of designing new product catalogs efficiently, decomposing orders effectively, turnaround quotes, and preventing fallout is necessary. CSPs can make out the end result and create a system for order management to push them forward.

The below discusses operational challenges in maintaining a telecom order management system holding CSPs back.

Business Intricacy

CSPs need to unscramble to keep up with new emerging technologies. In the path of productivity and scalability, outdated systems become formidable hurdles. Companies should eventually update their aptitude and technology to cope with the gap and continue the race.

Complications in Process

Certain complications can obstruct your efficiency. If your processes demand manual workarounds and oversight, you will get errors and inconsistencies. It increases the risk of interruptions, creates unreliable service assurance, and pushes towards unforeseeable revenue streams.

Technical Shortcuts

We all prefer short-term benefits. But if you are a CSP, choosing a low-cost technical shortcut can cost you. Few CSPs layer over-engineered evasions to bridge the interwoven operations support system and business support system bundle. Short-term benefits do not support long-term invasions.       

End-to-end Visibility

If you can satisfy your end customer, you have conquered half of the battle. In a highly competitive telecom space, assuring service and retaining customers can help you achieve your goals. For free flow, CSPs need a single source of data. In order to provide real-time updates and insights needed to assess and troubleshoot across the entire operations.

Offshoot Management

Offshoots are part of the game. You become a winner when you overcome them. To avoid fallouts, you should quickly detect and rectify errors in the order process. It allows you to get back your lost customers and uplift the sinking revenue. The first impression of your enterprise matters immensely for your growth. New CSPs are working with new partners to serve new enterprise-level customers. When you prevent offshoots, you ensure positive customer experiences leading to business growth.    

The right strategic partner can help you reach the place where you missionize and vitalize the service order management. Excelacom supports its clients’ mission in the evolving digital economy. As a Consulting and Technology Solutions Company, the crew here solves complex business, technology and overcomes operational challenges. One can avail of comprehensive experience in product development, IT consulting, telecom-focused software, and managed services. Excelacom is creating digital business solutions with flawless, on-time, and budget-friendly deliveries for their clients.

How Robotic Process Automation (RPA) Adds Value to the Telecommunication Industry

Robotic Process Automation (RPA) is a technology that enables the telecommunications sector to automate business processes by using a software robot or bot. These robots are capable of imitating a wide range of human actions. RPA allows telcos to automate repetitive, rule-based, and high-volume tasks. This technology can automate everything from basic tasks such as sending an email to automating jobs in an enterprise resource planning (ERP) system.

The telecommunications industry is constantly evolving, and 5G technology promises to be a game-changer. A robust network and service continuity is essential for telecommunications firms. They are implementing RPA to save money, enhance customer service, increase operational efficiency, and improve data quality.

Many telecom business processes, such as service fulfillment, service assurance, billing, and revenue management, are primarily manual, repetitive, and rule-based. By automating all of these activities, RPA may save you hours.

The telecom sector requires RPA for quick expansion and automation of vast operational processes such as data management, cost control, improving business agility, attracting talent, and developing new services.

Several Benefits of RPA for The Telecommunications Industry:

Smooth Data Flow : Software Robots can readily replicate human motions like mouse clicks and keystrokes while interacting with the interface. RPA bridges the gap between data sources within telcos, allowing users to quickly obtain the information they want.Because the technology is non-invasive, it can easily be integrated into existing workflows.

Cost-Cutting: In comparison to other business process management tools, RPA has a cheap deployment cost. It increases return on investment (ROI) and lowers costs because a software license can be used for several processes.

Higher Productivity and Speed: RPA automates non-value-added tasks and relieves employees from the work pressure, allowing them to focus on human intelligence procedures. Bots can save time by doing the same job as humans in a fraction of the time.

Customer Satisfaction: RPA swiftly automates back-office procedures. It can focus more on client requests and handle them quickly instead of time-consuming back-office tasks.

Improves Accuracy: Bots are built to follow all of a telecommunications company’s processes. They are highly reliable and never make mistakes.

Scalability: RPA’s approach for automating processes is reusable and repeatable across several business departments and locations. It assists in achieving scalability simply and rapidly.

Processing of Invoices: When RPA is connected with systems, it can process bills by comparing data to purchase orders and putting the correct information into systems. This automatically saves time and removes the chances of manual errors.

Increased Network Availability: RPA can predict and detect potential network faults, reduce network downtime, and improve customer satisfaction when connected to various systems. It also allows support teams to stay updated on the latest issues in real-time, providing clients with root causes and reducing resolution time.

Debt Collection: A comprehensive RPA platform can automate several aspects of the debt collection process, such as payment information updates, due dates, payment reconciliation, and urgent escalations. This allows employees to focus on providing services rather than gathering data, making them more productive.

First Call Resolution (FCR): RPA helps telcos retain and reward their consumers by increasing FCR rates. Customer satisfaction and retention are enhanced due to higher FCR customer service methods. RPA also helps lower operating costs and results in happier employees.

Excelacom’s RPA solutions can help you transform your business. The company provides solutions for telecommunications companies to address structured, semi-structured, and unstructured data using machine vision, speech recognition, and pattern detection skills.

As the telecommunications sector continues to grow and develop worldwide, the health and wealth of industry players and stakeholders will be determined by the successful implementation of RPA frameworks.

Understanding the Impact: Real-World Use of Big Data Analytics in the Telecommunication Sector

Innovative communications service providers in the USA are extracting value from big data analytics and winning customers. Let’s take a look at how this is happening

Let’s face it: What’s prevailing in the market is telecom and phone communications! These are the two areas that constitute an essential part of everyone’s life nowadays. To serve customers with the best plan and gain profit, many big companies in the USA compete with each other and provide services like big data analytics for telecom to their clients.

With the frequent rise in the digital and smartphones, telecom companies are flooded with such data that can snowball the companies’ profitability, conditioning if interpreted and understood properly.

This data can prove valuable for all of the requisite operations if accurate conclusions are drawn from it. For example: With the help of big data analytics, it becomes easier for companies to get information on the peak hours of the data usage by the customers. Having such information helps companies to serve the customer better and prevent any slowdowns and issues.

Let’s start with Big Data

Big data is the collection of data growing exponentially with time. It sometimes becomes difficult to decipher and understand the data using traditional data management tools because it is so large and complex in size.

Role in the Telecom Industry

There is no denying that telecom companies have massive data available at their disposal that can be used to track customer profiles, device data, network data, customer usage patterns, location data, call duration, etc.

With the help of such data and analytics, companies can not just make adequate decisions but create implementations in terms of customer experience, data monetization, network optimization, and operational analysis.

Benefits of Big Data in the Telecom Industry-

CHURN PREDICTION AND PREVENTION:

Using big data analytics, companies can bring together various data points that include but are not limited to the quality of service, subscriber billing information, network performance, details on the calls to the care centers, and social media sentiment analysis. Having such information at your disposal can help Communications Service Providers (CSPs) launch retention campaigns that pinpoint and address “at-risk” customers via outbound channels.

TARGETED MARKETING AND PERSONALIZATION:

With the help of data, companies can not just look into the matter to resolve customer issues but focus on retaining them as loyal customers. Ultimately, they improve their services and target them for personalized services.

For example,companies look into the pack purchase history of their customers and accordingly lure them with offers and benefits like free voice packs, extended day limit for the package. All the factors can be highlighted and determined using big data analytics.

Gathering real-time information of the expiry date of a package before the renewable date helps companies offer customers the best offers that encourage them to continue their services.

IMPROVE CUSTOMER EXPERIENCE:

Optimizing the customer experience leads to creating a loyal customer base. In such a situation, big data can categorize user information in a way that can further help personalize the customer experience.

The best way to keep customers happy is to provide them with the best services and proactively help them in resolving their queries.

To Sum Up:

Big data can help telecommunication companies in several ways; these are just three main reasons to provide positive results. Besides, you too can leverage big data analytics and get real-time data about customers. Major companies in the USA leverage big data and offer advanced analytics for CSPs to help companies make critical decisions.