Are you fascinated by the thought of Chatbots? How they work?
You might wonder how is it that a chatbot engages us humans and aid us as we make purchases online. What triggers a chatbot to work? And are there any benefits associated with the use of chatbots? This will be the subject under consideration in this article. What are chatbots by the way, to begin with? Let’s find out.
The idea of chatbots is intriguing. They make our experience as we shop online an easy and smooth one. And since they aid in a smooth customer experience, they therefore help ecommerce stores sell more, and keeps buyers coming back. Most people who shop online or who access the internet are gradually getting used to having chatbots as assistants or online support, suggesting that the use of chatbots in marketing is on the increase. But what are chatbots really?
Chatbots are however computer programs or applications designed to automatically engage with users or website visitors. A chatbot can presciently give a response to messages which contains precise words or phrases by offering a prewritten response options stipulated in advance for such a scenario. A chatbot could also make use of machine learning and natural language processing to examine incoming messages, and understand them so as to stir up a conversation. These keywords used by customers or subscribers while sending their messages are called triggers.
Chatbot triggers are of two types:
In most cases, chatbots operates within a live chat window. However, advanced platforms like face book, allows you design automated chatbot flows, where a bot answers the questions of customers in accordance with a scenario specified in advance. Triggers launch the flows.
There are three default chatbot triggers services we would highlight, namely:
A Chatbot trigger recognizes separate words and combination of words as keywords. For example, “hello,” “what is the cost,” “hi.” One keyword is limited to 32 symbols. If a subscriber sends a keyword in a sentence or the sentence contains several keywords, the chatbot replies with an automatic request for clarification.
For instance, let us say a user has two triggers: one with the keyword “hi” and the second with the keyword “price.” A subscriber sends a message, “Hi, what is the price for your service?” to the user’s chatbot. The chatbot replies with the request for clarification where actions “hi” and “price” are in the form of quick replies. Subscribers click the action, they are interested in, and the corresponding flow starts. Keywords don’t depend on the case; for example the service recognizes “hello,” “Hello,” and “HELLO” in the same way. Users can create new triggers, bind to flows and unbind from flows, edit, and delete existing triggers.
Creating a New Trigger
Depending on the chatbot service you are using, to create a new trigger, first select the trigger type you are seeking to build. For a trigger of the “After subscription” for example, specify what time after a subscriber or customer’s subscription a flow bound to this trigger will launch. If you’re looking to create a “Keyword” trigger instead, specify keywords which on receiving, a message flow will be initiated and a period of callback. A callback decides how often a flow bound to the trigger is signaled.
For example, a user creates a trigger with the keyword “hello” and the callback is created to be “5 minutes”. If a subscriber sends a message containing “hello” to the user’s chatbot and then sends another one with the same keyword in two minutes, the flow bound to this trigger will immediately be launched. A callback can be set in days, hours, or minutes. Once created, you decide how to show the interactions to your customers, to make the conversation with them more dynamic. They can be in text, gifs, or images as you prefer.
A chatbot is often described as one of the most promising and advanced expressions of interaction between humans and machines. From a technological point of view, however, a chatbot only represents the natural evolution of a Question Answering system leveraging Natural Language Processing (NLP). Formulating responses to questions in natural language is one of the most typical examples of Natural Language Processing applied in various enterprises’ end-use applications. Chatbot applications streamline interactions between services and people thereby enhancing customer experience. They offer companies new opportunities to improve the customer’s engagement process and operational efficiency at the same time by reducing the typical cost of customer service. To be successful, a chatbot solution should be able to perform both of these tasks effectively. Human support plays a key role here: No matter the kind of approach and the platform, human intervention plays a crucial role in configuring, training and optimizing the chatbot system. How can you determine what chatbot application is ideal for you, or what approach can you take in creating just the right chatbot application?
There are different approaches and tools that you can use to develop a chatbot. Some chatbot technologies are more appropriate than others, depending on the use case you want to address. In order to achieve the desired results, the combination of different AI forms such as natural language processing; machine learning and semantic understanding may be the best option. Get an overview of the main chatbot applications so you can evaluate them based on your specific needs and desired goals.
Features of a Good Chatbot
By mid-2016, companies had launched over 11,000 Face book Messenger bots. Thousands of articles and billions in venture funding complemented their arrival on the customer service scene. Yet consumers didn’t take to them. Why? Most of these bots lacked very important characteristics. They misunderstood simple commands, and didn’t pass user requests along to human agents. These bots were at times more frustrating than the automated phone systems they were designed to replace. But bots are readily coming up once again and these ones are of a much higher caliber because they exhibit most of the features of a useful chatbot.
Some of the characteristics of a good Chatbot are:
With the knowledge of a chatbot and what makes for its right triggers, Is the use of a chatbot on a website or service provider important, you might wonder? What benefits does a chatbot give to companies or service providers who integrate them in their systems?
As stated earlier, a good chatbot with just the right triggers makes for the perfect addition to a website to better a users’ experience. How does it do this?
Chatbots are indeed fascinating machines, and with just the right triggers for your chatbot, a smooth and easy experience for your customers or website visitors is achievable.
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