Adam Henshall

As ride-sharing apps expand, the cost and complexity of communication becomes harder to ignore.

Every new market adds operational pressure. Every new user adds messaging volume. The systems that once supported growth start to strain.

In this Telerivet article, we look at how leading platforms are adapting by rethinking infrastructure, cutting unnecessary spend, and finding smarter ways to scale:

• How ride-sharing apps are growing sustainably
• The state of ride-sharing apps
• The challenges of internationalization
• How connectivity becomes expensive at scale
• How ride-sharing apps are mitigating rising costs
• Telerivet makes it cheaper to scale
• Telerivet: Messaging when it matters

Automated text messaging isn’t just a convenience - it’s a strategic advantage. Whether you’re delivering login codes, appointment reminders, crisis alerts, or customer surveys, automated texts help you reach the right people at the right time, on the channels they trust most.

In this article, we explore how Telerivet makes it easy to build, manage, and scale your automated messaging - reliably, globally, and without needing to write reams of code.

• What are automated texts?
• How you can send automated texts with Telerivet
• 3 use cases for automated texting
• Alternatives to SMS

SMS customer service is fast, accessible, and trusted by users everywhere. In this guide, we explore how to make it work for your team - and your customers.

In this Telerivet article, we’ll cover:

• What is SMS customer service?
• What customer support activities can you do through SMS?
• What are the benefits of doing customer service through SMS?
• What SMS regulations should I be aware of?
• Can my SMS customer service be multi-channel?

With a growing list of ways to connect with customers - from SMS and WhatsApp to voice calls and Viber - knowing which channel fits your audience best is key.

Looking for a fast, effective way to gather insights from your audience?

SMS polls offer a simple yet powerful solution.

With open rates as high as 98%, text message polls outperform traditional survey channels like email and social media - making them ideal for quick research, customer feedback, or measuring impact.

In this article, we explore three practical use cases and show you how to set up your own SMS poll using Telerivet.

• What is an SMS poll?
• Why would you use an SMS poll?
• 3 SMS poll example use cases
• How to set up an SMS poll in Telerivet

SMS marketing is one of the most direct and effective ways to reach your audience - but only if it's done right.

In this Telerivet article, we walk through practical, real-world examples of how to use SMS marketing to build trust, deliver value, and stay compliant with regulations like the TCPA.

• What is SMS marketing?
• Watch out for TCPA
• 3 SMS marketing examples
• Promotions and discounts
• Gather mobile numbers with verifications in onboarding
• Run feedback surveys with added promotion

In the face of uncertain budgets and growing global challenges, humanitarian organizations are being forced to do more with less.

But amid the pressure, there’s opportunity - to rethink how we communicate, how we reach people, and how we deliver impact at scale.

In this Telerivet piece, we explore how organizations like Médecins Sans Frontières, the Norwegian Refugee Council, New Incentives, and Farm Radio International are using Telerivet to build smarter, more efficient communication systems - from SMS reminders to airtime transfers, mass surveys, and beyond.

We’ll cover:

• Now is the time of efficiencies
• How do humanitarian organizations handle communication?
• How the Norwegian Refugee Council scaled outreach through digital hubs
• How New Incentives uses airtime transfers to enable cost-effective field communication at scale
• How Médecins Sans Frontières automated SMS reminders to increase HIV testing and appointment attendance
• How Farm Radio International uses missed calls to get feedback from farmers

Transactional SMS might not be the flashiest part of your product - but it could be one of the most important. It’s the kind of tool that quietly powers key interactions: the login code that gets you back into your account, the reminder that saves you from missing an appointment, the message that reaches your customer at exactly the right time.

In this Telerivet article, we’ll look at what transactional SMS really is, how it works, and why it’s such a valuable channel for modern businesses. Whether you're sending alerts, building engagement flows, or just trying to communicate more reliably, transactional SMS is one of the simplest ways to connect with users - directly, immediately, and effectively.

We’ll cover:

• What is transactional SMS?
• Why use transactional SMS?
• 3 transactional SMS use cases
• Appointment reminders and real time alerts
• Two Factor Authentication
• Gathering customer feedback
• Transactional SMS alternatives

We’re living in a golden age of conversational AI platforms. From customer support automation to enterprise-wide AI-driven workflows, businesses have more choices than ever. But with so many options, choosing the right solution can feel overwhelming.

Some platforms promise human-like conversations, while others focus on structured, reliable task execution. Some are built for scalability, others for regulatory compliance, and a few are simply hype-driven ventures still stuck behind waitlists.

So how do you separate practical solutions from empty promises?

This Telerivet article breaks down the most talked-about conversational AI platforms today and analyzes their strengths, limitations, and where they fit in your business. We’ll cover:

• What is conversational AI?
• How is conversational AI different from generative AI?
• What are the main use cases for conversational AI?
• The difficulty of choosing a conversational AI platform

AI is more popular now than ever before. Each tech superpower is betting on it and every company seems to be trying to find a way to squeeze it into its products - whether it fits or not.

But AI is not one thing. In fact, it’s hard to say what it is at all.

Most discussion about AI currently is focused around Large Language Models, but they represent only a portion of the market for machine learning. Is some machine learning AI and other bits not? At what point does this all just become “software”?

I appreciate that if you’re reading this in 2026 while on the run from Skynet, the concern for distinctions might seem misplaced - but it’s good to be clear what we’re talking about.

In this Telerivet article, we’ll cover:

• What do we mean when we talk about AI?
• What is generative AI?
• What is conversational AI?
• How are conversational AI and generative AI different?
• How can I use conversational AI in my business?
• How can I use generative AI in my business?