The Best AI Chatbot Look for These Top Five Features-Aisera

 Look for these top five features when incorporating an AI chatbot: Unsupervised AI Learning, Omnichannel Messaging, A No-Code Visual Flow Builder, Live Chat Handover & Intelligence and Sentiment Analysis.

Nearly every business wants to incorporate chatbots or AI-powered chat into their website. Leading-edge AI capabilities streamline interaction, scale support for remote working, enable self-service and autonomy in resolving requests, and boost productivity dramatically while saving costs. Additionally, chatbots deliver unparalleled insights into customer data for informed sales leads, upselling and cross-selling, and timely response to emerging trends. The right chatbot can save millions of dollars, boost customer satisfaction scores, and handle increasingly complex use cases. Everybody wins.With the vitality of the chatbot phenomenon comes a span of choices for organizations. There are many chatbots on the market now, and selecting the optimal one can have a major impact on the benefits and value you realize from your investment. Nobody wants an “also-ran” chatbot that lacks essential features! But at the same time, you want to invest in chatbot capabilities that serve your markets, use cases and target audiences without adding options you don’t need. If you’ve decided to enrich your website with an AI chatbot, let’s look into the five “must have” features that comprise the Best AI Chatbots 

Unsupervised AI Learning: Unsupervised AI learning is at the foundation of the Best AI Chatbot. Apple’s Siri and Amazon’s Alexa are examples of consumer-oriented, data-driven, predictive chatbots. They are advanced, intuitive, capable, personalized, and sophisticated. To achieve this level of usefulness and popularity, an AI chatbot must be contextually aware—and the only route to that is through NLP/NLU. Machine learning (ML) is also vital to your chatbot’s ability to acquire new knowledge in the course of its operation. The Best AI Chatbot calls upon predictive intelligence and analytics to personalize a response based on user profiles; it remembers a user’s preferences and offers solutions and recommendations or makes informed guesses at a customer’s future needs.

Omnichannel Messaging: The Best AI Chatbot recalls past interactions with every user over every channel—whether online, via SMS, web portal or phone. It pulls from a user’s information, order history, previous purchases, and other data to carry out accurate, relevant and pleasing conversations. It resolves user issues in a matter of seconds. People today have an almost limitless spectrum of channels to carry out their business and lifestyle needs. They switch among channels with agility and expect the bot to respond and keep pace. Your ideal chatbot must also be able to communicate seamlessly on whatever channel the user prefers. So an omnichannel messaging platform is the key to a positive user experience and quick self-service resolution of customer, agent, and employee service issues. The omnichannel is broad and growing, so the bot must be capable of performing across that every-widening spectrum. That includes enterprise messengers like Skype and MS Teams; social messengers like Twitter and FB Messenger; voice assistance like that offered by Amazon Alexa and Google Assistant; email, and web/mobile apps. At the heart of the omnichannel are NLU sand NLP, which guarantee that your chatbot both understands and interprets communications properly and responds in a personally relevant way to conversations, whatever the relevant topic.

A No-Code Visual Flow Builder:  Building the Best AI Chatbot should be easy, intuitive, and hassle-free. That means code-free as well—even drag-and-drop! Look for a visual flow builder that tailors to your uses and enables zero-code bot building, enabling you to design and customize your bot directly on the platform without calling on technical knowledge. Without coding proficiency, you can now construct a powerful bot that starts delivering benefits from day one. Your visual flow builder lets you automate resolutions for basic customer issues and ensure productive interactions with your customer. The Best AI Chatbot also uses machine learning to continuously improve its performance and adjust your bot’s workflows. You can tweak and customize the bot to map to new business trends, initiatives, and customer feedback. Jump on opportunities and watch the responses soar.

Live Chat Handover & Intelligence: There comes a time in some interactions when a human is needed to resolve an issue. That’s why the Best AI Chatbot allows smooth human handover at the right moment. The chatbot is engineered to handle two scenarios: 1) when the bot cannot accommodate the complexity of the query; and 2) when the user prefers (or insists on) interacting with human support. Bots need a special type of intelligence to intuit and analyze a growing sense of urgency or complexity when participating in a conversation. This capability preserves the value of the chatbot by informing it when to relinquish the interaction and hand it over to a human. For example, when a chatbot taking an online order cannot understand or carry out the request, it can hand off the conversation to a human promptly, avoiding frustration and protecting a positive outcome.

Sentiment Analysis: Sentiment analysis is one of the newest and most amazing functions of AI. How the chatbot can interpret the intent behind a user’s query, understand sentiment from tone of voice, and respond appropriately is an extremely valuable skill when customers are often short of time and temper. Even when sentence structure, spelling or grammar are inconsistent, ambiguous or informal, like jargon or slang, the chatbot can intuit the meaning and enhance the experience. Like humans, the AI chatbot learns quickly and stores away that knowledge for future use. The bot thus becomes more intelligent, insightful—and functional—with each interaction. In the past, a chatbot could do little more than parrot its responses; the ability to decipher customer attitude was speculative at best. But today’s narrative mapping technology enables the bot to pick out important words and assign them a relative value: positive, neutral or negative. This informs the bot’s “understanding” of the mood and tenor of an interaction. The bot can then figure out how to respond to the user and conduct a meaningful dialogue.

If you want more just look here: AI Chatbot Platforms