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<\/p>\nThe role of chatbots is going to be bigger and better. With the emerging chatbots trends and market outlook, it is crucial for businesses to adopt innovative ways to deliver continuous customer engagement.<\/p>\n
As per Gartner, \u201cArtificial Intelligence (AI) will be a mainstream customer experience investment in the next couple of years\u201d.\u00a047% of organizations<\/b>\u00a0will use chatbots for customer care and 40% will deploy virtual assistants.<\/b><\/p>\n
AI has been revamping the ways of communication ways for businesses both with customers and internally. AI is vital for enabling machine learning and the flexible interpretation of automated business communications.<\/p>\n
Going further, chatbots are predicted to move from simple user-based queries to more advanced predictive analytics based real time conversations.<\/p>\n
Key chatbots statistics<\/h2>\n
With the chatbot trends making headway, more and more industries innovative applications to automate their business processes. They are being adopted by multiple business verticals to deliver excellent customer service and delightful experience.<\/p>\n
Undoubtedly, bots will be transforming the way businesses communicate with their customers and prospects. It has been predicted that conversational disruption may reduce and encourage marketers to prioritize chatbots as a channel for reaching out to users.<\/p>\n
The deployment of bot solutions will extend its horizons in the near future. The number one\u00a0chatbot use case\u00a0is to address customers promptly, having a bot platform can help to achieve key business metrics like average resolution time and first contact resolution.<\/p>\n
![\"predicted](\"https:\/\/www.revechat.com\/wp-content\/uploads\/2019\/09\/predicted-use-cases-of-chatbots-1.png\")
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Source: Digital Marketing Community<\/p>\n
Key chatbot statistics<\/h3>\n
Take a glance at the research-based statistics that provide valuable insights into the trends of the chatbot industry. Businesses can consider the statistical insights for successful deployment of virtual assistants.<\/p>\n
- \n
- The chatbot market size\u00a0is projected to grow from $2.6 billion in 2019 to $9.4 billion by 2024 at a compound annual growth rate (CAGR) of 29.7%. (BusinessInsider<\/a>)<\/li>\n
- 80% of businesses are expected to have some sort of chatbot automation by 2020. (Outgrow<\/a>)<\/li>\n
- There are over 300,000 chatbots on Facebook. (Venture Beat<\/a>)<\/li>\n
- The top industries profiting from chatbots are real estate, travel, education, healthcare, and finance. (Chatbots Life<\/a>)<\/li>\n
- Over 50% of customers expect a business to be open 24\/7. (Oracle<\/a>\n
\u270e Edit<\/a>Sign<\/a><\/div>\n)<\/p>\n<\/li>\n
- Chatbots can save up to 30% in customer support costs. (Invespcro<\/a>)<\/li>\n<\/ul>\n
Chatbots: Trends, statistics and future outlook in 2020<\/h2>\n
The chatbot ecosystem is quickly expanding despite the relatively robust ecosystem that currently exists. Companies from Fortune 500 to the start-ups are implementing the chatbot benefits\u00a0to gain pace and efficiency.<\/p>\n
Let\u2019s review some of the most happening chatbot trends and their future use cases.<\/p>\n
1. Chatbots will be more human alike<\/h2>\n
As per Global Market Insights, \u201cThe overall market size for chatbots worldwide would be over\u00a0<\/b>$1.3 billion<\/b><\/a>\u00a0by 2024.\u201d\u00a0<\/b>Hence, it is inevitable that the chatbot industry will become the driving force of business communications.<\/p>\n
The natural language processing (NLP) bots use sentiment analysis and predictive analytics to intelligently understand the conversations and the intent of the queries. Considering the chatbot stats about how businesses are adopting AI technology, there are still some challenges to implementing\u00a0chatbot best practices\u00a0successfully.<\/p>\n
![\"Challenges](\"https:\/\/www.revechat.com\/wp-content\/uploads\/2019\/09\/Challenges-faced-by-businesses-using-intelligent-chatbots-1.png\")
<\/p>\nSource: Spiceworks<\/p>\n
The key challenges are:<\/p>\n
- \n
- Misunderstanding requests:\u00a0<\/b>Chatbots often misinterpret the requests because they are not able to understand the right intent of the customer.<\/li>\n
- Execute inaccurate commands:<\/b>\u00a0Chatbots fail to answer any technical commands made by the customers.<\/li>\n
- Difficulty in understanding accents:<\/b>\u00a0Chatbots are still not capable of understanding accents or cultural dialect to understand the right intent.<\/li>\n<\/ul>\n
Keeping the drawbacks in mind and to keep pace with consumer expectations, businesses now are more focused on building chatbots that are indistinguishable from humans with the help of machine learning (ML), artificial intelligence (AI), and natural language processing (NLP).<\/p>\n
Chatbots with a more conversational AI has the ability to:<\/p>\n
- \n
- Deliver personalized and tailored customer experience to build better customer relationships.<\/li>\n
- Improve the user experience with your brand and boost customer loyalty.<\/li>\n
- Positively affect the customer\u2019s perception to receive positive feedback and build a satisfied customer base.<\/li>\n<\/ul>\n
2. Deep customer insights to drive chatbot behavior<\/h2>\n
Chatbots\u00a0are becoming more conversational to communicate effectively and the next step is to improve user experience. Sentiment analysis is important to train chatbots with more human alike capabilities.<\/p>\n
It is not just about providing an effective response, you also need to create a delightful customer experience. With the help of sentiment analysis, chatbots could understand whether the conversation was going well and respond to customer emotions accordingly.<\/p>\n
![\"Chatbot](\"https:\/\/www.revechat.com\/wp-content\/uploads\/2019\/09\/Chatbot-trends-sentiment-analaysis.jpg\")
<\/p>\nFor all the customer insights, chatbots can collect, normalize, and aggregate customer feedback data for further analysis.<\/p>\n
Here are some ways sentimental analysis can enhance user experience with chatbots.<\/p>\n
- \n
- Chatbot records the entire customer conversation and, with sentiment analysis, bots can figure out your happy and annoyed users.<\/li>\n
- With sentiment analysis, chatbots can modify their responses so that they\u2019re aligned with the customer\u2019s emotions.<\/li>\n
- Angry customers are routed to the right team to start a conversation to deliver personalized and effective customer support.<\/li>\n<\/ul>\n
3. Use of AI in contact centers<\/h2>\n
According to\u00a0Chatbots Magazine<\/a>,\u00a0\u201cBusinesses can reduce customer service costs by up to 30% by deploying a conversational chatbot\u201d.<\/b><\/p>\n
AI chatbot trends aim at saving costs significantly when businesses upgrade from inefficient IVR technology to AI. Bots without human involvement can handle simple requests such as changing a password, requesting a balance, scheduling an appointment, etc.<\/p>\n
Here are some common use cases are<\/p>\n
- \n
- Bots can greatly reduce the number of human agents required and also improve on employee attrition ratio which is due to the repetitive nature of routine calls.<\/li>\n
- Employing staff 24\u00d77 in your contact center can be costly. Adding resources to support multiple lines of business hikes the headcount to handle customer queries.<\/li>\n<\/ul>\n
AI future trends in omni channel contact center:<\/h3>\n
Chatbots are poised to go through transformational changes to implement AI across their core business processes. Some of these are<\/p>\n
- \n
- Business automation:\u00a0<\/b>Automating the business with chatbots helps to handle simple queries promptly and deliver a better customer experience.<\/li>\n
- Customer behavioral prediction:<\/b>\u00a0Contact centers can use predictive analysis, for launching a product, AI helps to predict the intent of the customers\u2019 reach out in order to adjust the agents.<\/li>\n
- Streamlined experience:\u00a0<\/b>Bots can collect information to understand the context of interaction to offer faster resolution by identifying the purpose and improving customer experience (CX).<\/li>\n<\/ul>\n
4. Voice bots are becoming mainstream<\/h2>\n
Voice is the next big thing!<\/p>\n
Users are already used to starting their days with \u201cOk Google, what\u2019s in my calendar today?\u201d. According to\u00a0Forbes<\/a>, more than 50% of all searches by 2020 will be voice-driven.<\/p>\n
It\u2019s all about facilitating your users with a seamless experience with your business, and you can achieve that by voice-driven chatbots.\u00a0Accenture<\/a>\u00a0research says\u00a0\u201cDigital consumers prefer messaging platforms that have a voice and text-based interfaces\u201d.<\/b><\/p>\n
Why are voice bots gaining popularity?<\/p>\n
- \n
- Text can be monotonous at times while voice bots engage customers with automated, intelligence-based communication.<\/li>\n
- Voice-enabled bot, you can provide reliable data insights to your customers. It also helps in giving correct real-time information.<\/li>\n
- Voice bots offer new opportunities for personalization that reduces problems faced while dealing with customer requirements.<\/li>\n<\/ul>\n
![\"voicebot](\"https:\/\/www.revechat.com\/wp-content\/uploads\/2019\/09\/voicebot-ecommerce-trends-1.jpg\")
<\/p>\nConversational bots utilize artificial intelligence and are capable of assisting over both text or voice. The trend of automating customer engagement will continue to be on the rise in 2020, which will help in sectors such as insurance, travel, and finances services.<\/p>\n
In banks, the customer data is combined with the latest data to personalize communication with the customers. In the current time when the competition is at its peak, brands must not miss out on any chance of converting leads into their customers and provide the best-personalized experience as\u00a0new trends in customer service<\/a>.<\/p>\n
5. The customer experience (CX) will drive chatbots adoption<\/h2>\n
AI chatbots help to redefine the way businesses interact with customers. In the current time, where social messaging applications are gaining popularity, following the chatbot industry trends will connect you with your customers in a great way.<\/p>\n
An increase in customer experience generates an average revenue\u00a0increase of $823 million\u00a0<\/a>over three years for a company with $1 billion in annual revenues. By automating the different business functions with chatbots, you can boost your customer experience.<\/p>\n
Here is how deploying chatbots can improve customer experience?<\/p>\n
- \n
- Chatbots are best for customers who expect an instant response, typically less than 30 seconds.<\/li>\n
- AI bots are active 24\u00d77 to engage customers to handle information-based questions and reduce support tickets.<\/li>\n
- Chatbots are easily scalable during the busy hours to engage customers and deliver better customer experience.<\/li>\n<\/ul>\n
Based on the customer experience, businesses can choose the use of chatbots for communicating with their customers.<\/p>\n
6. Messaging platforms as a growth driver for chatbots<\/h2>\n
The concept of conversational commerce is more preferred as it encourages buyers to shop online with chatbots. Messaging platforms allow businesses to revive their approach from improving branding to deliver the best customer service.<\/p>\n
Going ahead, more and more brands will adopt\u00a0messaging apps<\/a>\u00a0to boost customer engagement and increase customer loyalty as these platforms will have strong bot capabilities along with an integrated approach with various business functions.<\/p>\n
Let us take the example of WhatsApp, the most popular messaging channel.<\/p>\n
Book my show<\/a>, a well known Indian online booking app, has integrated WhatsApp for Business to send ticket confirmations as WhatsApp messages by default. The users who book tickets on BookMyShow will be notified through a WhatsApp message along with the confirmation text or an M-ticket (mobile ticket) QR Code.<\/p>\n
![\"Messaging](\"https:\/\/www.revechat.com\/wp-content\/uploads\/2019\/09\/Messaging-apps-caught-over-social-media-2.png\")
<\/p>\nSource: Businessinsider<\/p>\n
Messaging platforms having chatbot capabilities can help businesses to drive,<\/p>\n
- \n
- Marketing engagement:\u00a0<\/b>Customers prefer business offering bot support.\u00a047%<\/a>\u00a0of users are open to purchasing items through a bot. The\u00a0chatbot for marketing<\/a>\u00a0stats show that most of the buyers trust chatbot as the best way to interact with businesses.<\/li>\n
- Customer support:\u00a0Most chatbots can engage customers by answering their simple queries when the support team is busy or not available. With AI, bots can get smarter to provide better responses.<\/b><\/li>\n
- Sales & lead generation:<\/strong>\u00a0Chatbots can be the best channel to automate your sales and lead generation process by qualifying your prospects into leads across your website and social channels.<\/li>\n<\/ul>\n
7. Chatbots will automate payments<\/h2>\n
Chatbots are drastically changing the way businesses interact with customers, manage campaigns for lead generation, and automate payments.\u00a0Chatbots Magazine<\/a>\u00a0found out\u00a067% of US millennials said they are likely to purchase products and services from brands using a chatbot.<\/b><\/p>\n
The future of chatbots is that businesses will automate simple payments and allow users to pay directly over live chat or Facebook Messenger apps. The instant process makes the customer happy and improves customer satisfaction.<\/p>\n
- Customer support:\u00a0Most chatbots can engage customers by answering their simple queries when the support team is busy or not available. With AI, bots can get smarter to provide better responses.<\/b><\/li>\n
- Marketing engagement:\u00a0<\/b>Customers prefer business offering bot support.\u00a047%<\/a>\u00a0of users are open to purchasing items through a bot. The\u00a0chatbot for marketing<\/a>\u00a0stats show that most of the buyers trust chatbot as the best way to interact with businesses.<\/li>\n
- Customer behavioral prediction:<\/b>\u00a0Contact centers can use predictive analysis, for launching a product, AI helps to predict the intent of the customers\u2019 reach out in order to adjust the agents.<\/li>\n
- Business automation:\u00a0<\/b>Automating the business with chatbots helps to handle simple queries promptly and deliver a better customer experience.<\/li>\n
- Execute inaccurate commands:<\/b>\u00a0Chatbots fail to answer any technical commands made by the customers.<\/li>\n
- 80% of businesses are expected to have some sort of chatbot automation by 2020. (Outgrow<\/a>)<\/li>\n
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