3 Chatbot Trends to Elevate Your Customer Service Strategy

Today’s customers expect more than good products — 80% say the experience matters as much as the product itself and 69% try to resolve issues on their own. With this in mind, it is getting clear that investments in automation and AI self-service (like chatbots) drive growth, efficiency, and retention.  

Whether you belong to one of the leading-edge businesses already deploying chatbots and want to improve them, check out our three big Customer Service chatbot trends to watch out for:  

Trend 1: Chatbots Find Their Voice 

As voice commerce and voice search continue to grow in popularity, chatbots with speech recognition and voice biometrics capabilities will become a competitive differentiator. Speech recognition allows the chatbot to determine what help the customer requires. Voice biometrics enables the chatbot to ascertain the customer’s identity prior to discussing sensitive information, while also providing a one-stop-shop and superior CX for tasks like a password reset.

According to Juniper Research, there will be 8 million voice assistants in global usage by 2023. The rise in adoption isn’t surprising when you consider that a Stanford research study revealed voice to text is 3 times faster than typing and also more accurate. It’s come a long way since the admittedly hilarious episode of The Big Bang Theory “The Dumpling Paradox” (S1E7) when the voice recognition on Howard’s phone is all over the place and he can’t get it to call the right person. There are two main types of two-way communication voice bots, the hybrid version that has both text and voice capabilities and the verbal-only vocal input and output bot, like Amazon’s Alexa.  

 
It’s easy to see why voicebots are gaining ground. Most people don’t enjoy hunching their necks and hands over their phone to type but, for those who are visually impaired or cannot easily use their hands, voicebots are a long-overdue breakthrough in accessibility. TikTok made great strides in this area in 2020, being one of the first businesses to embrace Amazon’s Alexa for Apps, enabling voice commands, hands-free recording, and voice search capabilities. TikTok then built its own text-to-speech bot to translate captions and words on videos to support people with visual impairments.   

Walmart has upped the ante by creating voice bots for their employees as well as their customers. Their “Ask Sam” mobile app advises on product prices and locations, training employees and improving their customer interactions. Customers can also download the app for an enhanced in-store experience. Walmart also developed a multilingual voice assistant for its Indian business, Flipkart.   

For B2B and B2C businesses, personalising the search, purchasing and customer service experiences with voicebots can speed up processes, build a strong brand persona to increase customers’ emotional buy-in, and enhance the brand’s social impact with better inclusivity and diversity.   

Trend 2: Chatbots Get More Personal

59% of customers believe that companies need to provide cutting-edge digital experiences to keep their business. What could be a more leading edge than proactively forecasting customer needs and behaviour and having solutions at the ready? Or even predicting and solving their problems before they occur and meeting their needs before they ask?

The key to creating conversational AI chatbots that can anticipate customer problems is to collect and analyse data at every customer touchpoint, including from the chatbots themselves, and identify actionable behavioural trends. In addition to this wider data strategy, the best chatbots have their own internal AI and Machine Learning (ML) algorithms that help them understand data patterns over time and learn to create data-driven strategies to continuously improve themselves. By leveraging both historical and real-time data, businesses can deliver customer service support with a hyper-personalised feel that promotes intimacy, loyalty and retention.  

 
Sentiment analysis, also known as conversation mining, is a critical element of chatbot analytics. Advanced chatbots with AI, ML and NLP can learn keywords from real-time conversations, surveys, polls and feedback and give the sentiment a numerical score. In the case of voice, some chatbots can even interpret tone to ascertain how well the conversation is going and take appropriate action. If, for example, a chatbot product enquiry is going well, the bot might offer cross-sell and up-sell products to the customer. However, if the customer query is complex and the customer is getting irate, the chatbot can escalate the conversation to a human customer service representative.   

This sentiment data is not only useful for developing your bot’s emotional intelligence, it can also be used across your omnichannel strategy to segment your customers. This enables the marketing team to target customers according to their sentiment score and provide a hyper-personalized and efficient CX. You can use this data to improve your FAQ and recommendation systems, monitor and boost brand reputation, develop new products and services, streamline internal processes and develop new growth strategies.  

Trend 3: Chatbots Get Sociable  

53% of people say the most appealing thing a brand can do on social media channels is quickly respond to direct questions and comments. 53% of these started using conversational AI in this way during the pandemic lockdowns. Between 2020 and 2021 alone, the number of customers who cited social media as their preferred channel for customer service rose by 110%. This trend has continued to grow post-pandemic so the number of customer queries coming through on social media could well become unmanageable fairly quickly without a chatbot.  

 
Customers are also likely to share a bad experience with a brand on social media. So, offering customer care on top social media sites is critical because you need to meet your customers on the channel of their choice.  However, making sure you can offer them 24/7 help and not making them wait is equally crucial, to protect your brand reputation. Businesses that embrace social chatbots now, will benefit from the first-mover advantage of offering better social media customer care than their competitors.  

More Chatbots Trends 

These are three overarching trends that encompass and enable many others. So, for example, voicebots and predictive analytics can help fulfil your businesses’ omnichannel and hyper-personalisation goals.

Social media chatbots have application way beyond customer care and play a critical role in successful influencer marketing. The use of chatbots for customer care on social media is bringing the responsibilities of social marketers and customer service representatives closer together.   

If you’re looking to expand your chatbots capabilities, feel free to reach out to us!