Changing Landscape of Telecom Billing & Charging

Using a Billing and charging system to scale your invoicing

Using a Billing and charging system to scale your invoicing

This blog is for you if you're a telecom, internet, or cloud services company having trouble keeping up with the expanding number of transactions. The billing and
Convergent Charging systems have been well-tested for managing a specific amount of load and data. When your numbers exceed this, the batch operations that create bills or charge call data records might become extremely sluggish (CDR). This can affect billing cycles, the delivery of bills to clients on specified days and times, and your end-user experience.

Why is it worthwhile to go with an MVNO?

1) You can automate recurring billing and send hundreds, if not thousands, of error-free bills to many consumers who have subscribed to your products or services under various terms.

2) You may accommodate various price models and bill clients in various ways. Multiple pricing models are supported, including flat rate, which includes one-time charges as well as recurring costs, use-based, quantity-based, per user, per function, and with adjustable frequency (i.e. weekly, monthly, annually)

3) Revenue control is vital, and you can use up-to-date sales workflow data to develop accurate revenue estimates, track figures, detect flaws, track late bills, and more.

To compete successfully in the Convergent Billing business climate and service a rising number of consumers, telecom operators today require effective billing and revenue management systems. Efficiency implies improved agility, precision, and income assurance in this scenario. It is envisaged that Billing and Charging procedures would eventually deliver predictable quality and accuracy. This is a crucial aspect of providing value to consumers, enhancing their loyalty while assuring corporate security and predictability. The operations get increasingly complicated as the telecom product range, variations, technologies, and related business processes evolve.