The chatbot market was valued at USD 17.17 billion in 2020 and is projected to reach USD 102.29 billion by 2026, which, in other words, it is a 34.75% rise in CAGR over the forecast period (2021-2026).
“According to some estimates, by 2025 95% of all customer interactions will be powered by chatbots”, reports DuckCreek technologies on their blog.
“Utilizing AI and machine learning, chatbots can interact with customers seamlessly, saving everyone within an organization time – and ultimately saving insurance companies money. A bot can walk a customer through a policy application or claims process, reserving human intervention for more complex cases,” the blog continues.
As chatbots help reduce operational costs and increase customer experience for global enterprises, their market size is likely to increase gradually, thus giving an impetus to Chatbot marketing, online payments, customer service, and similar segments.
As we head to the second half of 2021, here’s a look at some of the chatbot trends we expect to see:
Predictive Analytics depends on a number of statistical techniques including data mining, predictive modeling, pattern matching, and machine learning. The efficient usage of relevant techniques and algorithms for bots helps to ensure not just premium customer experience but also meeting other business requirements. Integrating advanced behavioral analytics to chatbots is now common practice for companies either as standalone software or as a built-in feature, resulting in a better customer experience.
Insurance chatbots are a swift way of arriving at a resolution especially when the query requires minimal support from a human, case in point, pulling up relevant data, answering a question and also, filing a claim. A customer can just ask the bot to help them file a claim and the chatbot gets to work by scanning and pulling up the customer’s policy from the insurer’s database or backend system, ask the customer for any additional details (including a security step), and then initiate the claims filing process.
Conversational AI will go a long way in helping bridge knowledge gaps and lend more clarity around insurance. An AI-based assistant is the first step in responding to a customer’s queries around plans and policies, benefits and coverage, pricing, payment plans and options, and more. For Care Health Insurance, Mantra Labs built Hitee, an emotionally intelligent chatbot, who works as an entry-level customer support specialist aiding Care Health Insurance with customer queries around insurance.
The COVID-19 pandemic saw a surge in phone calls and video calls as there was an increased need to stay home. On a video call, you can see the person you’re talking to, and read their facial expressions, which is almost as good as face-to-face interaction. However, in case of a video chatbot, you aren’t talking with a human but a chatbot with a digital human avatar. Suitably dubbed ‘artificial humans’, a video chatbot has the ability to help customers through its digitally rendered human face, body, and voice.
This newfound breed of digital humankind works on a mix of machine learning and neural networks which has thus far allowed these avatars to better mimic human emotion and behavior.
According to Indian Languages – Defining India’s Internet, a report by KPMG, “Chat applications cater to 170 million Indian language internet users. This is expected to grow to 400 million by 2021 at a CAGR of 19%.”
Source: Indian Languages – Defining India’s Internet, KPMG
A multilingual chatbot allows enterprises to connect and converse with consumers across language and cultural barriers helping to enhance engagement and conversions. However, building multilingual chatbots requires more than using a language translator to process text or dialogue from English to another language.
To make multi-language communication effective and on point, a chatbot must be trained on an end user’s culture, history, and any regional nuances. Additionally, global enterprises are also building multichannel bots that connect multiple messaging platforms or voice channels to the same project.
Picture this: You have had a tough day at work and so you want to wind down and get ready for the weekend, stress-free. However, owing to the pandemic and a continued spate of work-from-home scenarios, the usual Friday night out with friends is a far-fetched dream. What’s the next thing you turn to? Fortunately, there’s an option available for that in the form of chatbots with high emotional intelligence that captures human sentiment, emotional states and elicits positive responses during a conversation, while making sure that the person on the other side of the screen feels safe speaking to a stranger, in this case, a machine.
Wysa, rated as one of the most innovative mental health support apps, does exactly that. You can have a normal conversation, engage in exercises to help you through anxious phases, listen to sleep sounds that calm your nerves, and it also offers an option to speak to a therapist. Wysa’s EQ also ensures that she makes timely follow-ups to ask how you’re doing and sends weekly reports as a summation of your past conversations.
A Pew Research Center study reports that by the year 2025, AI and robotics will permeate most aspects of one’s daily life.
Gartner had previously predicted that by the year 2020, people would have more conversations with chatbots than their spouses. The chatbots of the future are not just programmed to respond to questions, but to talk and draw relevant insights from knowledge graphs and eventually, forging emotional relationships with customers.
Sephora’s Facebook Messenger bot is a popular use case when discussing chatbot personalization. The cosmetics company built and deployed a bot to allow customers to book an appointment for an in-store takeover which resulted in a whopping 11% higher conversion rate than any other booking channels Sephora used.
Chatbots are constantly on the rise amid the need for customers to be online 24X7. Chatbot architecture and design are fast-evolving to the level that conversational AI will become a standard customer service practice. Noteworthy tech companies are pushing themselves forward in industries like retail, banking and finance, and healthcare sectors with the development of advanced chatbots powered by artificial intelligence and machine learning.
According to linchpin.seo, “Experts believe that AI will be a major investment in customer experience for a few years. 47% of organizations are expected to implement chatbots for customer support services, and 40% are expected to adopt virtual assistants. Predictions of consumer-based services suggest that chatbots will be programmed to match human behavior, offer similar services, and improve customer service.”
This content was originally published here.