How to Use AI Chatbots to Improve Customer Service

Feel like you already know everything there  is to know about chatbots? Well, just like AI,  
maybe it's time that you, too, update your  algorithm with what’s new with these busy bots.
Hey there! I’m Rehone Gozly, and thanks  for tuning in to our channel. Today,  
we’re going to talk about how  chatbots can change the way  
conversations happen between  brands and customers online.
Before we get into it, let’s make  sure your checklist is up to date  
with the best chatbot features to look out for:
First on the list is a no-code chatbot  builder. Sounds complicated? Well,  
it’s actually quite simple. A no-code build can be implemented almost  
immediately, as there’s very little training  that goes into making your bot sound human.  
So, it makes your life a whole lot easier.
Another thing that’s worth noting is that with  better sentiment analysis, chatbots are getting  
better at understanding a key ingredient  of human-to-human conversation — context!
To get a better feel of how this plays out  in real life, let’s go through an example.
Say you’re a customer who wants to exchange  a product because it doesn’t fit properly.  
But then, you find out that the  size you need is out of stock.  
So, your intent will naturally change to returning  the product instead, right? The latest in chatbot  
AI can detect this switch in intent and continue  the conversation smoothly on the same ticket. So,  
you don’t have to take the effort of  starting the entire process all over again.
Once you’ve decided to return the  item, the AI will verify if the  
shipping address is still relevant based  on historical data before the pickup. By  
using “smart reply suggestions,”  the bot can maintain the flow of  
the conversation from start to finish  and give you a consistent experience.
Chatbots are also quite misunderstood  at times. People either assume that  
they have to choose a specific  platform that they want to enable  
bots on or that each platform requires  an entirely separate bot script build.
Well, considering how advanced conversational  AI technology is today, I’m here to tell you  
that neither applies. Now, you can build a bot  just once and deploy it through an omnichannel  
platform. Sprinklr is an excellent example  of one such platform. It can take a build,  
customize it to each platform, and deploy  it across 30+ channels, all at once!
And what’s more? Today’s chatbots can  understand the finer nuances of language.  
You can also customize them by inserting any  voice to represent your bot — a lot like Alexa.  
Why, you can even have your brand  ambassador’s voice speaking on your behalf,  
which is pretty cool, I would say. So,  no matter where your customers reach out,  
your bot always seems like a  friendly and smart assistant.
Now, can you imagine this? Wouldn’t it  be awesome if there were a “previously  
on'' recap segment for each customer, like your  favorite TV show? New-generation chatbots can  
do just that by relying on customer-focused  insights to pull up the historical data of  
repeat customers on a single dashboard for more  personalized care. They can also pinpoint what’s  
inefficient in your operations and highlight  the need for additional knowledge resources.
So, now that your checklist is updated, you’re  all set to make better decisions for your brand.  
If you’re inspired to change up your bot strategy  and overall customer experience, we’re definitely  
here to help! Check out the links below, reach  out for a demo, or just let us know what you’d  
like our experts to simplify the next time  around to bring out the best in your business.