Helpium · Blog
Browse every article on the Helpium blog: trends, guides and updates on AI-powered customer support.
Add a native Helpium chat to your iOS and Android apps in an afternoon: your AI answers instantly, your team takes over when needed, and replies arrive as push notifications.
On Mercado Libre, many sales are decided in the questions section. Here is why answering fast matters so much, what buyers ask most and how to answer well without being glued to the app.
Your customers message when they can, not when you open. Here is what to reply at night and on weekends, what to promise and how to keep selling while you're away.
AI can make up prices, delivery times or policies if it answers from memory. Here is why it happens, what's at risk and how to make it answer only with your business information.
An AI flow is the path a conversation follows once it's automated: what it asks, what it does with the reply, and what action it executes at the end. Here's what it is, what it takes to build one, and how to set it up without coding.
Two out of three customer support businesses now use AI that can act on its own, nearly double from just a year ago.
Replying fast isn't enough if a customer who already bought from you has to introduce themselves all over again.
Nearly a third of customers stop buying from a brand after a single bad customer support experience.
When a business grows, WhatsApp volume grows with it.
If your business handles support or sales over WhatsApp, this probably sounds familiar: most messages aren't really different from each other. People ask the same things, just in different words, at different times. And someone has to be there to answer, all day long.
Two to five minutes per inquiry, fifty to a hundred fifty inquiries a day: that's how several hours of administrative work disappear answering the same things over and over. We break down exactly where that time goes and what changes when an AI assistant takes over the repetitive part.
Not all support AI is the same: some just generate generic text, while others look up the customer's actual order. That difference determines whether an inquiry gets resolved on its own in the chat or ends up, either way, in the manual support queue