Chatbots utilize natural language processing (NLP) and speech recognition to understand written and spoken requests; businesses can leverage this technology to automate tasks that formerly required human intervention. Based on a request from a user, the chatbot provides the user with an output, which is a response to the request in text or speech form. With the use of machine learning and deep learning, chatbots can grow intelligently and understand a wider vocabulary and colloquial language, as well as provide more precise and correct responses to requests.
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.
Pros: Building a bot is really simple with their pre-made templates and a drag and drop flow diagram. We have been using Activechat to automate skills aka flows for different visitors (leads and vendors) and touchpoints through different growth tools (referral path to trigger skills). Broadcasting to 'tagged' subscribers is also straightforward. A real game changer.0
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Insomno bot is for night owls. As the name suggests, it is for all people out there who have trouble sleeping. This bot talks to you when you have no one around and gives you amazing replies so that you won’t get bored. It’s not something that will help you count stars when you can’t sleep or help you with reading suggestions, but this bot talks to you about anything.
Rulai also integrates with most messaging channels, customer service software, enterprise 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 you can implement a pre-trained chatbot that has been fed data from your specific industry.
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.
Pros: First, a shout-out to the developers and especially the founder for taking lead in such an awesome product with great support. I've been with them solely for creating funnels on facebook messenger bot but ActiveChat wow me with more channels like telegram and the ability to integrate NLP easily! Drag-drop interface for creating skills/sequences with functions/fields is also improving. Impressed!
ItsAlive provides tools that enable users to easily create Facebook chatbot in minutes without any previous coding experience and allows users to engage with their Facebook community with automated content. ItsAlive features the keyword detection. The keyword detection detects group of keywords that your users type and respond accordingly. The RSS feeds provided by ItsAlive automatically sends out a user’s updates. The user only needs to copy and paste their RSS feeds to create content. ItsAlive also features the variables feature that enables users deliver personalized content that is based on multiple quick answers. The user’s chatbot memorizes the multiple…
Pros: Botengine was easy to integrate with our existing Livechat helpdesk program . I am impressed with the ease at which Botengine is able to respond to the most popular of simple questions we get from our customers like; the address of the company , what we do , our subscription rates etc While these questions may appear to be straight forward , they are the most asked question which our customers throw at us . With the coming of Botengine ,we no longer need to bother ourselves with these sort of questions ; Botengine responds to them ,while we await the tough ,complex queries.
By collecting over 20 years of messaging transcript data and feeding it to their AI-powered chatbot, LivePerson can automate almost every industry’s messaging and integrate with most messaging channels like your website, mobile app, Apple Business Chat, text messaging, Google Rich Business messaging, Line, Facebook Messenger, WhatsApp, and Google AdLingo.
Pros: The personal interaction with the team is probably the biggest draw for me. ActiveChat is one of the new players in the bot field, but they're clearly listening and responding to their early adopters via e-mail, the official Facebook Group and probably other channels as well. I am confident they will execute everything on their roadmap within a reasonable time frame, allowing us to create every type of bot we can imagine.
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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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?