Tara is a content marketing professional with experience in digital and social marketing. As the Manager of Content Marketing at Interactions, she is responsible for the overall content development and social media strategy at Interactions. Tara holds a BA in International Relations from the University of San Diego and an MBA from Northeastern University.
These days, you can't turn on the news, listen to your favorite podcast or read an article without hearing about the latest and greatest developments in AI. But for many businesses, AI is more than hype -- it’s an important part of how they do business and connect with their customers. And in the world of customer care, getting AI right is a challenge many businesses will deal with for years to come.
We’ve talked a lot about omnichannel — what it is, how it differs from multichannel or cross-channel solutions, and how to tell if a solution is ‘true omnichannel’ or just hype. But from a company’s perspective, why is this so important, and what are the major reasons to invest in omnichannel? As many organizations look for new ways to integrate technology to improve processes or customer care, this is an important question to answer.
There are many who would say that Natural Language Processing is experiencing something of a revolution right now. Across various industries, a number of advances — including new machine learning technologies — are coming out that support further advancement of existing artificial intelligence technologies. But what is Natural Language Processing, and what is its potential impact on the customer care industry?
Your customer experience is important. It sets you apart from your competitors, affects your ability to retain customers, and impacts your bottom line. But understanding the customer experience can be challenging. What is it like for a customer who interacts with your customer service technology?
We’ve talked a lot at Interactions about exactly what chatbots are, and perhaps even more importantly, what they aren’t. As customers continue to put pressure on brands to deliver consistent, omnichannel experiences across customer care channels, automated customer care technologies like chatbots continue to gain popularity.
As brands continue to focus on improving the customer experience, incorporating automation into customer interactions is becoming more and more important. Your customers’ time is valuable—and they want you to recognize this fact and deploy technologies that put time back into their day.
We’ve all had frustrating customer service experiences — dealing with awkward, robotic automated systems that don’t understand you or offer the right menu options. If we’re being honest, most of the time we probably end up rapidly pushing buttons or yelling ‘agent’ until we’re directed to a real person, just to avoid these systems. Companies actually put these systems in place to help the customer service process, but poor implementation and design often means they just cause frustration and often worsen customer experiences.
There are a lot of considerations that go into developing a persona for your Intelligent Virtual Assistant. How do you set your IVA apart? Should you name your IVA? How do you know that you got it right? We’re answering these common questions — and more — that companies often has as they begin to develop personas for their automated customer care solutions.