Frequently Asked Questions

HLS is supported on nearly all devices, including iOS, macOS, and Android, as well as major streaming platforms like YouTube and Facebook, which makes it the most broadly compatible option.

Yes. HLS supports AES-128 encryption, providing a high level of security for video content and making it a solid choice when content protection matters.

MPEG-DASH is codec-flexible and supports a variety of codecs including H.264, H.265, VP9, and AV1, allowing better optimization for quality and bandwidth.

AI is used for personalization, recommendation engines, targeted advertising, predictive analytics, subtitles, dubbing, content moderation, and streaming optimization.

AI improves user engagement, reduces churn, enhances content discovery, automates operations, and increases OTT revenue potential.

These are machine learning systems that analyze viewer behavior to recommend highly relevant content in real time.

AI enables targeted advertising, personalized subscriptions, dynamic pricing, and optimized ad placement strategies.

Future AI-driven OTT platforms will include conversational streaming assistants, automated content programming, emotion-based recommendations, and intelligent FAST channel automation.

Yes. Modern OTT providers like Vodlix make AI-ready streaming infrastructure accessible for startups, creators, broadcasters, and enterprises.

Billing automation is the process of executing and managing billing cycles and related activities automatically, from processing payments securely to generating invoices and handling payment failures. It streamlines steps that would be tiresome and error-prone to do manually.

It supports new monetization and business models, automates revenue management, eliminates repetitive tasks, smooths cash flow, centralizes data, delivers business insights, and gives audiences more payment options.

Yes, automated billing speeds up the billing process by more than 60%, making payment collection faster and smoother. A Fundbox study found nearly 70% of companies receiving late payments experience cash flow problems, which automation helps prevent.

It removes manual transaction processing, data collection, invoice creation, and tracking of user billing cycles. Those time and money costs otherwise multiply every time you upgrade billing models or add new plans.

Yes, a good system handles changes to your business model easily, so you can add bundles, packages, or discounted rates for specific target groups without installing new software. For example, an OTT platform can simply integrate a new pricing model into its existing one.

It lets you create rules that standardize revenue recognition while managing multiple billing models such as usage-based billing, subscriptions, bundles, and pay-per-view. It also simplifies audit trails, regulatory compliance, tax configuration, and service fees.

A comprehensive billing system replaces multiple tools with a single secure place for data like customer lifetime value, recurring revenue, and average revenue per customer. These are key metrics for assessing growth and adapting strategy.

A quality recurring billing system provides analytics on monthly revenue, customer lifecycle values, subscription churn and acquisition, purchased plans, and customer billing cycles, all of which help in planning for growth.

A sound automated billing system offers multiple payment gateways, multiple payment options, multi-language support, and multi-currency support, which together aid business globalization.

The pandemic forced business leaders to reassess pricing systems and strategies, and billing became one of the key components getting automated more than ever. That competitive pressure to automate is expected to continue in the post-pandemic years.

Netflix's core revenue stream is its subscription model, where members pay a recurring monthly fee for access to its library of movies, TV shows, documentaries, and originals.