Pros: Botengine is a chatbot created by Livechat and we began using this ,because it was introduced to our team by Livechat. I like the ease of integration ,and the fact the customer care team setup and integrated Botengine with our existing Livechat solution ,with no technical assistance from our in-house programmers. Overall ,Botengine has enabled our customer care team respond to just the most complex of questions , whilst letting Botengine deal with easy queries from our clients.
Activechat.ai provides a visual tool to make development process for complex enterprise chatbots easier. It is a visual conversation flow builder with advanced natural language understanding tools and lots of integrations to business frameworks like e-commerce shops, CRMs and external APIs. Based on the concept of "LEGO for chatbots" this visual tool makes it easy to build smart multichannel bots in a couple of days instead of weeks and months of development. Strong points: visually simple flow builder, Shopify/WooCommerce direct integration, site tracking, mass broadcasts, Twilio SMS support.
I liked the clarity of Joyable’s approach: It’s intended to only be eight weeks long, so there’s no pressure to continue after it ends (the anxious people pleaser in me likes knowing how much time I’m signing up for and how easy it is to cancel.) And each week, a new themed course is “unlocked,” allowing me the chance to tackle a new set of cognitive-behavior related challenges.
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.
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SmartAction is transforming customer self-service with artificial intelligence. We work with businesses to create an environment where intelligent virtual agents are handling complex customer requests in every medium – voice, SMS text, chat, and social media. With state-of-the-art technology and industry-leading expertise, our goal is to fundamentally improve the way customers communicate with the brands they love.
Alfred AI aims to transform humans into super-humans by strengthening their abilities. It's able to process text and audio specialized in CX in three languages. Spanish, Portuguese and English in which slang and other natural ways of language can be used. By implementing an innovative Machine Learning it understands and answers in a very friendly manner. Alfred AI is not just a bot is also a virtual agent able to respond chats, mails, tweets. FB, Instagram, WhatsApp and a phone call. It integrates with CRMs (Oracle Rightnow, Salesforce, Avaya) and other virtual agents such as Alexa or Siri but not limited to. One of the main difference with competitors is the fact that it only charges whenever a correct answer confirmed by the user is given. If a user states that the answer was not useful or it never answers then it won be charged. Alfred AI is different, is a CX specialist with empathy as main characteristic together with a high level of understanding.
Linc builds the most advanced commerce-specialized Customer Care Automation platform. Recognized as the Best AI Solution for Customer Service, the platform helps brands offer differentiating services and experiences using an automated assistant, via the channels customers prefer to use including SMS, Live chat, Chat apps, Voice assistants, web, and email. Serving and supporting millions of shoppers and billions in purchase volume, Linc’s solution is the platform of choice for leading brands including Carter’s | OshKosh, eBags, Stein Mart, Levi's, Lamps Plus, JustFab.com, Tarte Cosmetics, PacSun, and P&G Shop, creating the engagement and loyalty brands strive to achieve, and delivering the cost savings and revenue needed today. Learn more at www.letslinc.com.
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.
MobileMonkey makes it easy for non coders to make chatbots. Their bot building tools make designing and editing bots a simple job. It enables you to build powerful bots for Facebook Messenger in the matter of minutes. You can deploy chatbot campaigns, and you can use MobileMonkey “Lead Magnets” to grow your Messenger opt-in list. This chatbot platform helps you automate Messenger marketing campaigns with ease.
Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.
Customer support tools, such as live chat, help desk, or contact center solutions, may already have chatbots implemented as a first line of defense when dealing with customers. However, they are becoming more widely used in other applications, such as sales and marketing knowledge bases. Users may even use them instead of a query language to find certain data points in business intelligence tools; by simply typing or speaking a request to a business intelligence platform, a chatbot can provide the proper data. Chatbot capabilities are constantly expanding and becoming more frequently implemented in other types of software.
Adam Devine is the CMO of WorkFusion, architects of AI-powered products that automate customer service functions as well as other business processes. According to Devine, “Adding natural language processes and machine learning changes everything, giving virtual customer assistants (VCAs) the ability to determine not just what rules-based action to take based on a word, but to understand the meaning of words in different combinations, ask questions to create context and intent, and actually do something for the customer.”