msg.ai is an enterprise AI platform for customer service enabling companies to automate high-quality support on email, chat and social. msg.ai works alongside a company's human agents to respond to repeatable issues, offering convenient, immediate resolutions on the channels that matter most. The platform’s deep learning natural language understanding engine enables the AI to take the next best action, ensuring high-quality support every time. msg.ai easily integrates into an organization’s business systems, enabling companies to become proactive with support, alerting customers of an issue before they contact a company.

Reply is one of the best AI chatbot platforms. It is an enterprise level bot building and management platform. And it enables business to consumer communication at scale. Their visual bot builder makes it easy to build bots. The dashboard has built-in CRM, machine learning, and real-time insights to make smarter and faster bots. You can expand bot functionalities across the whole customer experience.
ManyChat helps you create Facebook Messenger bot easily for marketing, sales, and support. Their visual drag and drop bot builder helps you set up Facebook Messenger bot in a very short time. It provides you a set of tools to help you grow your Messenger audience. And it helps you broadcast your message effectively with Messenger. You can also automate your Messenger marketing.
Qualified is a live chat and conversational marketing platform that will alert your sales reps when qualified leads are on your website, and give them the tools to meet with them in real-time, including live chat, voice calls, and screen sharing. Qualified was created to help companies reduce the amount of time it takes for sales reps to engage with qualified leads. By providing real-time qualification and instant meetings, sales teams are able to generate more leads and more pipeline.
AI powers for customer service agents to provide faster, smarter responses. ultimate.ai's deep learning artificial intelligence technology works in partnership with agents, learning from historical chat data to provide reply suggestions in real time. ultimate.ai learns from agent behaviours and grows in accuracy. Ultimately, the most common questions in customer service are fully automated, freeing agents to focus on what really matters: the customer.
If a visitor does engage, the bot is programmed to answer and determine if the user is a qualified lead based on their questions and responses. Qualified leads are invited to book a sales call with a rep. A calendaring integration makes it easy to reserve a spot, and a CRM integration means qualified leads are automatically routed to the right salesperson.
Drift is the world's leading conversational marketing and sales platform that helps businesses connect now with the customers who are ready to buy now. With its quickly evolving set of tools and playbooks, Drift is leading businesses through the customer-driven revolution by using conversations to unlock hypergrowth. Customers use Drift to provide a modern buying experience for potential customers, generate more qualified leads, and dramatically accelerate the sales cycle. After just two years in market, the company has become one of the fastest growing SaaS companies of all-time and was named to the Forbes Cloud 100, LinkedIn Top 50 Startups, Entrepreneur's Top Company Cultures, Boston Business Journal's Best Places to Work, and SaaS Company of the Year by the NEVCA. Get started for free today and join 150,000+ businesses using Drift at drift.com.
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In the recent years, the growth in popularity of chatbots has been the result of the amount of research poured into its underlying technology. These AI-powered bots are now being integrated in various industries such as payments, banking, customer service, and even pure personal amusement. The birth of chatbots developed from the curiosity of whether a robot can really fool any human into believing that it is human as well.

Typically, customer service chatbots answer questions based on key words. The most basic systems are actually document retrieval systems. Sometimes this is frustrating. Think of the times you may have asked Siri or Alexa a question and received the wrong answer. The computer recognizes key words but may not recognize the context in which they are being used. In other words, the computer doesn’t recognize the way people naturally speak. This causes the customer great frustration. However, these systems (including Siri and Alexa) have come a long way and continue to improve.


Fortunately, the next advancement in chatbot technology that can solve this problem is gaining steam — AI-powered chatbots. By leveraging machine learning and natural language processing, AI-powered chatbots can understand the intent behind your customers’ requests, account for each customer’s entire conversation history when it interacts with them, and respond to their questions in a natural, human way.
Rasa NLU & Core allows for more human-like dialogue, trained using interactive, and supervised machine learning. Rasa Core picks up patterns from real conversations and also takes the history and external context of a conversation into account. The Rasa NLU engine is an open source tool for intent classification and entity extraction, and offers natural language understanding for bots and assistants. It features the capability to turn natural language into structured data. It is modeled as a set of high level APIs for building your own language parser using existing NLP and ML libraries. Many developers world-wide are using it…
This chatbot is one the best AI chatbots and it’s my favorite too. Evidently it is the current winner of Loebner Prize. The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like. The format of the competition is that of a standard Turing test. You can talk with Mitsuku for hours without getting bored. It replies to your question in the most humane way and understands your mood with the language you’re using.

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