If you are looking for the latest and greatest website chatbot, then I have to assume that you have not been hanging out on one of the many discussion forums that are available on the Internet. If you haven't been hanging out in the online chat rooms, then you probably would have never come across Chat Bot. Here is a quick introduction to this nifty little talking tool.

Chat Bot is an artificial intelligence software program that is designed to provide customer support to its users, based on programmed specifications. The product is marketed under the name of a chat bots, or "robots" or "self-programming conversational dialog acts". Chat Bots are software programs that can perform specific conversations on a website, based on pre-programmed dialogues and response patterns. In essence, they take the information from customers and analyze it to give website owners a more personal, as well as more complete, experience.

Chat Bots are an extension of IBM's Watson technology, specifically designed for online customer service. Watson is a supercomputer brain that can solve virtually any problem, given enough time, attention, and resources. Since its creation at Watson University, IBM has been refining its brain to work in customer service, including live chat solutions. Now, you can use your IBM web portal to have an IBM Watson expert advisor that can connect with a variety of website chat platforms such as IBM's own Chat Bot, or others.

Most of the time, companies utilize Chat Bot to enhance their customer support services. Chat Bots offer an exceptional solution to a number of common questions that website owners often encounter. For instance, when a user goes to the website and experiences a problem, he/she may ask how long it will take to resolve the problem. Using a chat bot, the website owner can offer a simple, straightforward answer, "I don't have an estimate right now, but rest assured that it will be resolved quickly". This will encourage the customer to give feedback, which then gets stored for future use by other chat bots on the IBM website.

Another popular use for chat bots in customer service is for predictive dialing. Predictive dialing is the use of a computer program that calls a telephone number that is programmed by the customer service agent. When the computer asks for the phone number to identify itself, the customer service agent can then record the phone number's details into a database that can be accessed by chat bots. These databases can then be analyzed by the chat bot to determine which messages to deliver to which recipients. With the help of the chat bot, agents can predict up to 90% of the number's response. This type of predictive dialing saves time and guarantees quality customer service.

To prevent the loss of client contact, chat Bots also help their human employees avoid answering the same questions over again. A website chatbot handles incoming calls and automatically rephrases the question or adds some clarification. As long as the chatbot has captured a specific pattern of questions asked by a customer service representative, it can easily fill in the blanks and rephrase the question to make it unique. Since most chat Bots are web-based, agents can also redirect callers to voicemail boxes where they can leave voice messages. This not only saves the caller from getting a message about a reservation, but it also saves the agent from having to record the same message over again.

Machine learning allows website chatbags to adapt their behavior to changes in their environment. For example, if a new website feature becomes available, the chat bot will be trained to use the feature when appropriate. In addition, it can also detect newly introduced traffic spikes and route callers to a pre-determined website. The list of possible uses for these automated chat bots goes on.

One website chatbot example that I found interesting was one that showed order validation results as they appeared on the user's screen. When a customer indicated that they were going to place an order, the boy grabbed the order mark icon and displayed it on the screen for the user's preference. As soon as the user pressed the button to place their order, the bot filled in the order details, including name, shipping address, phone number, and whether or not the customer was approved for the discount. All of this takes place without human intervention and with minimal costs. While these may seem like very small details when compared to the big picture of how chatbots can help companies sell more products, they do represent a major step forward in the direction of machine learning and artificial intelligence in order to help customer service agents to provide better service to their clients.