Whether it’s on Facebook Messenger, their website, or even text messaging, more and more brands are using chatbots to serve their customers, market their brand and even sell their products.
But even though most chatbots can handle moderately sophisticated conversations, like welcome conversations and product discovery interactions, the if / then logic that powers their conversational abilities can be limiting. For example, if a customer asks a unique but urgent question that you didn’t consider when designing your chatbot logic, then they can’t answer their question in any way, which puts your customer on hold and ultimately leaves him dissatisfied with your customer service. .
Fortunately, the next advancement in chatbot technology that can solve this problem is gaining traction – AI-powered chatbots.
What is an AI chatbot?
An AI chatbot is a program in a website or application that simulates human conversations using NLP (natural language processing). Chatbots are programmed to meet user needs independent of a human operator. Common functions of chatbots include answering frequently asked questions and helping users on the website or app.
By leveraging machine learning and NLP, AI-powered chatbots can understand the intent behind your customers’ requests, consider the full conversation history of each customer as they interact with them. and answer their questions in a natural and human way.
If you’re currently using a standard chatbot, but want to switch to an AI-powered bot, we’ve put together a list of the best AI chatbots for 2021. Read on to find the right one for you.
Best AI chatbots
- Assistant Watson
- Zendesk Chat
- Salesforce Einstein
- There is
HubSpot has simple and powerful chat builder software that allows you to automate and evolve live chat conversations. Your customers will be able to get answers to frequently asked questions, book meetings, and navigate the site. At the same time, their responses are recorded in your CRM, allowing you to qualify prospects and trigger automation. Keep in mind that HubSpot’s chat builder software doesn’t quite fall under the category of “AI chatbot” as it uses a rules-based system. However, HubSpot does have code snippets, allowing you to take advantage of the powerful AI of third-party NLP-based bots such as Dialogflow.
Because HubSpot is a CRM platform, using the HubSpot chatbot with snippets gives you the benefit of easy integration across your marketing, sales, and service tools.
Intercom is software that supports live chat, chat bots, and more to provide messaging-based experiences for prospects. Using machine learning and behavioral data, Intercom can answer 33% of queries and deliver a personalized experience along the way.
Developed by one of the leaders in the AI industry, IBM, Watson Assistant is one of the most advanced AI-based chatbots on the market. Pre-trained with content from your specific industry, Watson Assistant can understand your chat or call log history, search your knowledge base for an answer, ask customers for clarity, direct them to human representatives, and even give you training recommendations to hone their conversational skills.
Watson Assistant can work on your website, messaging channels, customer service tools, and mobile app. The chatbot also comes with a visual dialogue editor, so you don’t need any coding experience to develop it.
Drift provides conversational and sales marketing software powered by both automation (rules-based) and artificial intelligence (NLP). According to their website, “Drift’s conversational AI is trained over more than 6 billion conversations to identify patterns that engage and convert visitors into a qualified pipeline.” This means that the machine learning that comes with the chatbot is already pre-trained and ready to use.
Trusted by clients like Intuit, Edible Arrangements and Vodafone, Bold360 has patented its own natural language processing technology to help brands create chatbots that can understand your clients’ intent without the need for keyword matching and learn to provide them with the most precise answers.
Bold360’s conversational AI can interpret complex language, remember the context of an entire conversation, and respond to customers with natural responses. Customers can even buy your products through the chatbot. You can also give your chatbot its own personality and run it on most messaging channels.
6. Zendesk Chat
Zendesk offers live chat and chatbots as part of its Zendesk Chat service. Built with powerful automation combined with Answer Bot and Flow Builder technology to create AI-powered conversation flows, it lets you configure your chatbot to answer common customer questions without writing any code.
seven. Salesforce Einstein
Salesforce Einstein is an artificial intelligence technology that uses predictive intelligence and machine learning to power many of Salesforce’s features, including Salesforce’s Service Cloud and Chatbot offerings. It is able to resolve customer queries with its smart chat features, and you can rely on it for triage and routing and data-driven information.
Armed with deep learning-based natural language understanding and multi-grip adaptive capabilities, Ruali, an AI-powered chatbot for corporate brands, can understand the context of a conversation, predict the user behavior, capture customer preferences, take action, move on to different tasks, and ask customers for more details.
Rulai also integrates with most messaging channels, customer service software, business software, and cloud storage platforms. You can either build a Ruali chatbot from scratch with its drag-and-drop design console and let its AI adapt to your customers, or implement a pre-trained chatbot that has been powered by data from your specific industry.
By collecting over 20 years of messaging transcript data and pushing it to their AI-powered chatbot, LivePerson can automate messaging from almost any industry and integrate with most messaging channels like your site. Web, your mobile app, Apple Business Chat, text messaging, Google Rich Business messaging, Line, Facebook Messenger, WhatsApp and Google AdLingo.
LivePerson’s BotStudio also lets you create chatbots from scratch, with no coding knowledge, and its analytics dashboard can track metrics like real-time sentiment, bot containment rate, time. bot conversation time, total talk time, average order value, and bot sales, allowing you to capture your chatbot’s impact on your business bottom line.
Designed specifically for corporate brands, Inbenta’s chatbot leverages machine learning and its own natural language processing engine to sense the context of every customer conversation and accurately answer their questions. Inbenta also offers a dialog manager, which allows you to create custom conversation flows and paths.
Additionally, when Inbenta’s chatbot realizes that one of your customers needs to speak to a human, it will forward the conversation to the appropriate support agent. To make your chatbot more human, you also create a personalized avatar.
11. There is
Trusted by customers like Medium, Shopify, and MailChimp, Ada is an AI-powered chatbot that features a drag-and-drop builder that you can use to train, add GIFs to certain messages, and store customer data. .
Ada can also integrate with most messaging channels and customer service software, send personalized content to your customers, ask for customer feedback, and report your bots on time, effort and cost savings. . According to their website, Ada has saved their customers over $ 100 million and 1 billion minutes of customer service effort.
Vergic offers an AI-powered chatbot that can serve as the front-line customer support for your business, handle transactional discussions, and forward more complicated issues to your customer service agents. It’s like a hybrid chatbot that can boost the productivity of your employees.
By leveraging natural language processing and natural language understanding, Vergic can also perform sentiment analysis, share documents, highlight pages, manage conversational workflows and generate reports on analysis of chatbots.
Editor’s Note: This article was originally published in March 2019 and has been updated for completeness.