Chatbots sit in an interesting space in the digital world. On the one hand, they clearly offer potential. The ability to answer queries and take the menial workload off means more work-hours saved. And yet, there are considerable hurdles to implement them. Firstly, AI-powered chatbots are hardly perfect. How many times have we had a hilarious encounter with a chatbot which keeps giving us answers we never asked? Often, the very utility of conversational AI-powered chatbots is questionable.

Anyone who has seen the futuristic, leaving-Planet-Earth flick Passengers would agree the movie offers the opportunity for an energetic debate on Artificial Intelligence—just where exactly should one draw the line? In the movie, a robot bartender, Arthur (portrayed by Michael Sheen), gracefully fulfills his duty of fixing drinks aboard the Avalon. But he grievously falls short of the bar at a key human trait–discretion.

The day in the life of a customer support agent is not an easy one. Between staying on top of assigned tickets, dealing with angry customers, completing complicated back-end processes, answering repetitive customer inquiries, and adhering to strict company policies, there’s plenty of potential headaches that can spring up. Without adequate support and resources, 74% of customer support agents are susceptible to burnout1.

Much like every other aspect of virtually running a business, technology has drastically changed customer service. There are constantly new channels for customers to reach out to businesses. An important addition to this growing list of channels is a customer service chatbot. In this blog, we talk about everything you need to know about a customer service chatbot.

If businesses were previously skeptical about the potential of chatbots in customer service, there is no longer any question about it. The pandemic has pushed businesses to mainstream AI and different types of chatbots for varied objectives. With evasive measures such as cost cuts, chatbots have not just helped businesses stay afloat but also garner the goodwill of customers and ROI.

What’s common between the customer service offered by a hotel, a retailer, and a bank these days? Chatbots! Chatbots today are being deployed across industries to assist customers (customer service), or engage with customers (sales and marketing), or do both. However, there are a few chatbot applications that are unique to each industry. In this blog, we explore the different applications of chatbots in six key industries, along with real-life examples.

In the world of AI – chatbots, and virtual assistants are two popular words that are used interchangeably too often even though they mean two different things. Sometimes, you might even hear the term ‘virtual assistant chatbot’ being used in place of a chatbot or a virtual assistant. In this blog, we take a look at the differences between a chatbot, a virtual assistant, and a virtual assistant chatbot, and give you some guidelines on which solution to use, and when.

AI chatbots aren’t just for customers. They can provide useful support throughout a business, including your help desk. Help desks are the hub of your support. The help desk team not only supports your customers but also manages internal IT and HR support. They’re busy handling tickets, maintaining office network infrastructure, speaking to customers, and dealing with all manner of technical difficulties your departments could find themselves facing.

Chatbots are no longer a new technology in customer service. Customers are using them to get support across a variety of industries, whether they need help changing a hotel reservation, paying a bill, or finding the perfect lipstick color. Business use of chatbots and conversational AI is only going in one direction.

With e-commerce swiftly becoming popular all over the world, chat bots have become the new rage where every business online is ready to invest in them. Chat bots for customer service have become essential as this software application has proven to be an excellent online collaboration tool when it comes to automated conversations with clients.