Chatbot: A computer program that simulates human conversation.


Here are some statistics of the success of chatbot given below:

  • Chatbot for Public transportation returns 800% of investments one time. Increase 25% of bookings and answer over 5 million questions every year. And also, chatbots generate 30% more revenue through bookings. Using chatbots saved approximately $1 million in service expenses in a single year.

  • Perfecto Mobile recorded an increase in the website conversion rate by 230%. Lead generation from visitors rate increasing 6% to 20% every six months.

  • 500% ROI [Return on investment] has been recorded by Charter Communications within six months using chatbots.

  • Facebook Messenger’s chatbot increases 53% annual revenue by click-through rate and 84% read rate increases on automated messages.

  • About 25% of sales increased in the data science industry using chatbots that generated 4,000 leads approximately.

  • In 2016, Facebook created 30,000 chatbots for messenger in the first half and which increased rapidly. At the end of 2017, messenger counted 100,000 chatbots for customer services.

  • Your message has been sent

    A chatbot is a software application that is used to communicate with people through online conversation automatically via text messages or text-to-speech. Shortly, a chatbot is a software that simulates a human-like conversation with users. Chatbots are mainly used to automate text or voice speech based on the customer’s behavior and messaging styles during direct conversations. This is an alternative for people who are employed for the job to interact with customers and answer their queries. The main difference between chatbot and bot is, a chatbot is a computer program designed to communicate with customers and a bot is an algorithm that interacts with web content.

    Historically, chatbots are not fully modern inventions. Chatbots were created out of curiosity about half a century ago. The first invention of chatbot theory was created by Alan Turing in 1950 and the invention was titled “Computing Machinery and Intelligence”. In1966, the first-ever chatbot was created, named ‘ELIZA’ by an MIT professor. ‘ELIZA’ was used in healthcare services for a certain time. In 1971, AI-based chatbot was a theory given by a psychiatrist. As a result in 1978, a prototype of an AI-based chatbot was developed by Colby, which can prosthesis speech on a small scale. ‘Jabberwacky’ was one of them, developed in 1988. From the inspiration of ‘ELIZA’, in 1995 “A.L.I.C.E.” was developed by Richard Wallace, which is an NLP chatbot that simulated chats with women. From there the journey of chatbots started.

    In recent times, customer service representatives have shown an unwillingness to do their jobs. They don’t want to answer similar questions 100 times in a day. They don’t want to communicate with thousands of customers in a day who are not going to buy. So, as an organization, no one can’t afford to let those scenarios be the norm. For these reasons, a company should go for an AI (Artificial Intelligence) based chatbot which can easily replace those unwilling employees and can raise more sales.

    Chatbots are pre-programmed and also have artificial intelligence or both. On the basis of the applied mechanism, a chatbot processes user’s questions to deliver a perfect answer for that. There are two types of chatbots. They are Command-based and AI-based. Eventually, a command-based chatbot goes for pre-defined answers based on some unique keywords. On the other hand, AI chatbots are completely independent. It can answer user’s questions automatically based on its AI. Mainly an AI-based bot is a software that can match word by word and process through its AI and output a much relevant answer to a question. Machine learning, natural language processing, and the sentiment analysis are the steps followed by an ai chatbot. Some languages like Polish, Finnish, Spanish, or Hindi, whose verbs may present a wide range of variations, which make it difficult for a chatbot to process these languages.

    90% of big customers chat before buying something. Everbuying customer does a query conversation every time they want to buy anything. In that case, chatbots are more effective to answer the question of big customers rather than the customer service representative. Mainly chatbots are used for B2C customer services. 9 out of 10 buyers used to ask questions before making any purchase. Which is estimated more than 60% of revenue. On the contrary, a study of 2017 showed that only 4% of companies use chatbots and the study also shows 80% said they intended to have one by 2020. Which mostly becomes true. Whatsapp, Facebook, Call centers, Banks’ online assistance, and etc. are using chatbots for more efficient output. Russia-based Tochka Bank launched the world's first Facebook bot for financial services, including a possibility of making payments. In health industries, chatbots can be a representative which can make appointments and provide the local healthcare location services.

    By 2021, 15% of customer services will interact with customers through AI (Artificial Intelligence), which will make an approximate $112 billion dollar globally by 2023. So, they're gonna be a huge market based on chatbots. The world should grab opportunities to grow with the flow of AI era.

    We are the company providing a great Chatbot System for you.

    Still, Have any Questions or Doubts or Queries?? Why don't you message us for more clearance?,

    Click to check out our LinkedIn page: Superior Data Science

    Advantages of Machine Learning in Financial Forecasting

    Using AI to robotize the monetary estimating measure presents a few remarkable advantages for senior money heads and their groups. The key advantages are summed up beneath.

    1. Capacity to Produce More Accurate Forecasts, Faster

    As referenced before, AI empowered estimating can free monetary gauging of the concentrated work of gathering and accommodating information. The apparatuses can be designed to gather and accommodate extremely enormous informational indexes in a mechanized style. In addition, AI apparatuses can assist with deciding business drivers and enormously diminish estimate blunder. AI calculations are intended to gain from the information after some time and foresee which drivers have the best effect on monetary execution. After some time, the model turns out to be more precise and produces figures all the more rapidly.

    2. Hedge between best and worst case scenario

    With accounting page driven gauging measures, there are cutoff points to the number of information sources and how much information can be processed and burned-through inside anticipating models. AI devices can significantly upgrade the volume and sorts of information that can be utilized on the grounds that the apparatuses can hold more information and process it quicker than people. Through this way we can have the better chance to hedge between the best and worst case scenario.

    3. Empowering Value-Adding Activities

    Customary estimating measures ordinarily expect examiners to invest the vast majority of their energy accommodating and gathering information as opposed to chipping away at esteem added investigation and collaborating with the business. Utilizing an AI answer for production at any rate a standard estimate can help investigators move away from these commonplace assignments and spotlight on understanding operational drivers, key business occasions, and microeconomic and macroeconomic elements that may affect the business, carrying those experiences into the determining cycle. Utilizing AI can eventually help monetary investigators accomplice all the more intimately with the business and backing dynamic.

    The Emergence of AI in Accounting and Finance

    There are sure businesses that are generally helpless to the effects of AI. The most referred to report from NPR predicts that:

    • Bookkeepers have a 97.6 percent possibility of seeing their positions computerized.
    • Accountants and examiners have a 93.5 percent possibility of seeing their positions mechanized.
    • Financial examiners have a 23.3 percent possibility of seeing their positions mechanized.

    To summarize, occupations that are comprised of repeatable, precise errands have higher danger of being mechanized than those that require judgment, examination, and relationship building abilities. Thus, in the event that your present place of employment regularly expects you to show those attributes, at that point you need not concern. For Finance and Accounting, AI and robotization are viewed as suitable answers for successfully managing consistency and danger challenges across different areas. To stay serious, organizations are moving from work exchange and seaward unrest to mechanization insurgency. Man-made intelligence speaks to an occasion to decrease the weight on money experts, especially around conventional monetary exercises, for example, exchange handling, review and consistency. These exercises in their present structure keep money from being more essential colleagues.

    In what way Might We Help You Improve Your Customer Service with an Advanced Platform?

    • Build ai platform for your team
    • Quick financial projections according to your double entries
    • Analysis Charts and plots
    • Resources to carry on this project
    • Superior Data Science builds reinforcement learning agent

    Through our platform you will be able to get the forecasted financial statements including income statement, balance sheet, cash flow statement. On these forecasts you can have the opportunity to decide and take actions and worst case scenario. Throught the forecasted data organization can take actions to create value for their investors.