NGChat is a live chat that is fully dedicated to the e-commerce market. It is designed with sales representatives in mind. It provides you with all the information you need about your clients and their e-shop activity. It does this by tracking and monitoring the activity of your clients when they visit your shop, providing an accurate analysis of your client’s activities. This in turn gives you the information you will need to best support your sales strategy. NGChat is a solution that provides you with information which is vital for you as a seller and the e-commerce industry. NGChat…

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Chatbots also offer much-needed assistance to your customer relations team by handling the most basic inquiries and forwarding more complex ones to the human administrators. They mostly take care of the needs of millennials who prefer live chat. The platform is also ideal for the sale of a wide range of similar products or services; it helps match customer preferences to the right choice. Generally, organizations that have incorporated chatbot platforms in their operations have a better competitive position mainly because of the improved customer service and marketing.
I like that Botengine platform is easy to use,thereby making it easy to create our chat bot in a matter of minutes,and with as much minimal support as possible from the software development team. Botengine is so simple to use,that it was created and deployed by myself and team members at the marketing team,despite not coming from a technical background.

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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.
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.
Pypestream is a secure messaging platform that offers customer engagement solutions that connects customers to their businesses through the power of smart messaging. Pypestream is a compliant and secure platform that combines chatbots with pragmatic AI therefore enabling transactions over messaging. Pypestream uses fully fledged technology that provides businesses with scalable and secure messaging solutions. Pypestream objective is transforming enterprises to on demand powerhouses by providing powerful and smart messaging solutions. Pypestream two way smart messaging platform uses patented framework of streams and Pypes. The patented framework separates communication into topic specific channels. This will enable enterprises or companies broadcast…
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.

Existor is the algorithm used to developed Cleverbot, as well as EvieBot, BoiBot, PewDieBot, and ChimBot. It offers a wide-range of bot and AI-related products alongside bot development, such as apps and mobiles games, the Clever data set, and Cleverscript for scripted conversations. The underlying technology in Cleverbots not only processes verbal and textual interactions, but also the timing and degree of the avatars' facial expressions and movements to create a more authentic conversation experience.
These are just the basic versions of intelligent chatbots. There are many more intelligent chatbots out there which provide a much more smarter approach to responding to queries. Since the process of making a intelligent chatbot is not a big task, most of us can achieve it with the most basic technical knowledge. Many of which will be very extremely helpful in the service industry and also help provide a better customer experience.
3. Personalizing the customer experience: Chatbots excel at collecting customer data from support interactions. After all, it’s the computer that’s doing the work. The advantage is that live support agents can use this information to personalize their interactions with customers. Devine says chatbots serve as virtual assistants that can feed customer data to the agent in real time, so the agent can give the customer good information and solutions based on current needs as well as past interactions with the company.
Pros: First, ive to give credits to the development team for working hard. Bugs fixing, features enhancement, UI improvements and so much more. We've used manychat, funneldash, segmate, motion ai and others and personally we felt Activechat beat them all in terms of pro-activeness, features (standalone bot, NLP integration, custom smtp, woocommerce integration, etc).
Octane AI is another great bot creation platform. You can set up a bot in minutes and customize it. It helps you engage with your audience on Facebook Messenger. And it enables Messenger marketing where you market with the help of Facebook messages. With Octane AI bots, you can recover abandoned carts, automatically answer customer’s queries, send follow up messages after purchases with shipping and receipt notices, and more.
Created by a developer by the username of Amena-chaan on DeviantArt, Levi is an anime avatar known for his cool, indifferent nature. His popularity even inspired an interactive game created by another developer. Utilizing the same underlying technology as most chatbots, Levi's conversations are archived and accessible for him to use when speaking with new users.

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 capabilities can be limiting. For instance, if a customer asks a unique yet pressing question that you didn’t account for when designing your chatbot’s logic, there’s no way it can answer their question, which hangs your customer out to dry and ultimately leaves them dissatisfied with your customer service.
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.
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.

Are the travel bots or the weather bots that have buttons that you click and give you some query, artificially intelligent? Definitely, but they are just not far along the conversation axis. It can be a wonderfully designed conversational interface that is smooth and easy to use. It could be natural language processing and understanding where it is able to understand sentences that you structure in the wrong way. Now, it is easier than ever to make a bot from scratch. Also chatbot development platforms like WotNot, Chatfuel, Gupshup make it fairly simple to build a chatbot without a technical background. Hence, making the reach for chatbot easy and transparent to anyone who would like to have one for their business. For more understanding on intelligent chatbots, read our blog.


Cons: Botengine has reduced the workload on the helpdesk department . However ,I fear we may come one day have an advanced Botengine ,years down the line ; which is able to respond to the current complex queries we respond to and thus when that day comes , why would my employer keep me at the job ,when a Bot can do a better job ,without ever getting tired?

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