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Top 10 most Innovative Chatbots developed today

October 16, 2019 | AI, Chatbots | No Comments

Innovative chatbots

Chatbots are becoming popular with the increasing capacity to perform thousands of tasks. There are 23,552 identified number of tasks related to lifestyle, games, music, smart home, travel & tourism, shopping, communication, shopping, and many more areas. AI can multiple employee productivity within the organizations and speed up innovation.

Big brands that extensively use Chatbots are Lyft, Spotify, MasterCard, Staples, Pizza Hut, Starbucks, Fandango, Tata Capital, TCS, Club Mahindra, Godrej Agrovet, etc. The versatile applications powered by AI keeps the chatbots running at high speed and have the capacity to speed up the information exchange and response rate.

Microsoft and IDC Asia Pacific states that around 77% of business leaders consider Artificial Intelligence is increasing business competitiveness by 2.3x by 2021.

Innovative chatbots

Chatbots are making a mark in sectors like healthcare and medicine, education, edutainment, real estate, travel, customer service, gaming, and E-commerce.

Top 10 Most Innovative Chatbots:

AI bots

Artificial Intelligence chatbots deliver quality output and the deep learning algorithms ensure the relevance of content shared. It can sense the user’s intentions and personalize the response.

1. Mitsuku: A popular AI-powered online chatbot developed using Artificial Linguistic Internet Computer Entity – A.L.I.C.E. database. The advanced machine learning techniques enhance its conversation skills allowing anyone to talk with it. However, it is not created for any specific purpose but aims to entertain users.

Mitsuku is the most human-like chatbot and can make human-like conversations. It uses NLP- natural language processing that allows the bot to understand everything we say. It is five times the award winner of the Loebner Prize Turing Test.

Mitsuku is the best conversation chatbot that performs well compared to other bots. You can ask what all can it do for you or have a general conversation, knowledgeable conversation, ask about history, or something that happened between selected dates, ask it to show a horoscope, top 40 songs across the globe and much more.

It can talk about anything and with anyone; it has no topic or age limitations. It can be funny some times and while discussing sensitive topics it takes a neutral stand.

2. Hipmunk:  It is one of the most innovative AI chatbots supported by a user interface. It has wonderful travel ideas. A bot is supported by a user interface (UI) that can be more efficient. Hipmunk It understands your need and helps you schedule the travel, search for best flight options, book hotels or rent a car.

Hipmunk can search and compare the price and options from other listings and get you the best deal. Easily integrate them with social media pages or Skype. The bot uses the location data to determine work accordingly for the search input and optimizes the search for the user.

It lets you do your work or relax while it smartly handles the information found from multiple sites, and places it right to suit your requirements. It allows you to share the maps.

Hipmunk is not chatty bot yet efficient to complete the transactions for the user. Bots need not to be chatty.

3.Duolingo: A language-learning app gained popularity because of the number of languages it lets you practice. Duolingo enables you to develop conversational skills in other languages and you can even practice aloud.

Duolingo saves you from the embarrassment of speaking a foreign language and lets you overcome the fear of conversing in front of others.

Learn almost 30 foreign languages through this chatbot. It provides plenty of self-paced exercises that can develop a better understanding of those languages.

It simplifies the recruitment process and is capable of interviewing thousands of candidates simultaneously and in a given period it can complete the interviews.

4.Robot Vera: It is a networking Legal and HR chatbot that business enterprises use to solve many issues relating to the recruitment, legal paperwork, etc. smoothly. Robot Vera can improve the workflow and productivity of the company.

Human Resources team’s efforts to screen and select the CV’s form the job portals, inspect the CV’s, sort the documents, and e-mails received from not suitable candidates. Robot Vera automatically analyzes resume databases and calls candidates that are fit for a new opening in the organization.

AI-powered chatbot Robot Vera filters out the applications received for a position to merely 10% of the best suitable ones form all the sources of resumes. It then informs about the job description, schedules and conducts telephonic interviews or video chats.

Robot Vera can evaluate the answers of applicants and perform recruitment tasks almost 10 times faster than humans perform. It can hire employees, handle complex office situations, and even fire them if needed.

5. Replies: Virtual companion chatbots are the ones, which people can flirt with. They can even complain or talk loud about their failed relationships. Replika helps people to meet their emotional needs and soothes them when they feel anxious or heartbroken and need an inspiring or comforting chat. Users can select various options for self-motivation, depending on their choice.

It has over thirty thousand members on the Facebook group. It lets you feel good especially with the care and compassion received from the virtual companion. Replika mimics the speech and behavior of the user. You can download and teach this app everything about yourself. It can have an in-depth conversation about the things you want to engage in.

Replika can even follow you on social media and continue to ask you some questions.

6. TechCrunch: This smart conversational chatbot gives a personalized experience over the content you want, how frequently you want within the selective topics, authors and type of content available on TechCrunch.

If you wish, to track specific types of articles or the industry-specific development stories and news it serves you with the best and relevant content. There is a lot of content on the internet and you cannot read all and cannot afford to miss what is important for you and your business.

Conversational double intent lets you get info on two searches at a time e.g. news on Mahindra and Tata. Get personalized news recommendations

TechCrunch customizes to the user’s choice and helps companies create a brand image. Sending the content that the user enjoys lets them relate to the products and services they provide. Companies get traffic from people interested in their products and the target customers automatically reach out.

7.BabyCentre UK: It belongs to Johnson & Johnson a reputed name in childcare. This bot helps query resolution about pregnancy and childcare. It can calculate the due date of would-be mothers and guide them for preparing for childbirth. Many articles are available on self-care for moms on all stages of motherhood.

BabyCentre UK’s facebook messenger Bot responds to the questions for a concern area the parent faces for different age groups, it asks for the child’s age and problem. Personalized bits of advice suggested by the bot helps to a great extent. Targeted content adds to illustrate the answers given by the bot.

They have information on how to get pregnant, receive weekly articles during pregnancy, health care of mother and baby, when to call a doctor for your baby, why your baby does not sleep, and you can share your opinion in the community.

If the toddler is weaning, it can suggest if the child is ready for solid food and extends the conversation by asking other indications they should check out. E-mail content received by the parents is personalized as per the child’s age opted by them.

The BabyCentre’s bot could avoid the spam filters and achieve a read rate of 84% and a higher engagement rate than the e-mail channels.

8.Acebo:  It is a bot that tracks expenses, checks to-do lists, and intelligent task management to improve the productivity and efficiency of the team. The most convenient way to store the expense records, images and receipts to export at the selected date to the accounting system or expense format. Find the tasks, expenses, polls, and results in a central and easily accessible location.

You can personalize the survey, create engaging surveys such as emotion-enabled surveys, conventional surveys, chat-based surveys, and automatically track sections of feedback received from customers.

9.Instalocate: This chatbot saves you from reading complex customer rights documents of various airlines. Get a refund from airlines in case of delayed or canceled flights and even overbooking. Yes, this is legal airlines owes you the compensation and in the currency not some coupons.

It is simple to use just track your flight with few details like airlines, flight no. and the date of travel. The chatbot notifies you automatically to apply for the compensation once you are eligible.

It provides you a stress-free travel experience with the information Instalocate shares with the user. Flight-related information like delay alerts, security wait time, web check-in, baggage allowance, etc. You can inform your friends and family while you are onboard and helps to get you a cab as soon as your flight lands.

Instalocate is your travel assistant available 24×7 that plans travel, books flights suggests where you can eat or stay, updates you with flight details in real-time.

10.Watson Assistant: IBM a leader in AI space developed this advanced chatbot. It holds the content of varied industries and is pre-trained for industry-specific. It uses data content relevant to that industry. It can understand historical chat, call logs, search and respond from the knowledge base.

Furthermore, it inquires for more clarity from the customer to serve them better. It can decide on its own when to direct the user to human representatives. Level one work is repetitive is taken care of by the Watson Assistant. The bot is smart enough to recommend for the training it requires improving on its conversational abilities.

Watson Assistant can be part of your company website, messaging channels, customer service tools adapted, and your mobile apps. The chatbot offers a visual dialog editor making your zero experience of coding your power in developing a new feature.

How Chatbots are becoming our need and reliable partners?

Whether business or personal life we have too many things to handle and an intelligent friend like Chatbot is a relief in heck. How badly a human need someone to take care of them yet not interrupts in their personal space.

Chatbots are digital friends, assistants, planners, tutors, therapists, and partner in day-to-day life. Book flights, hotels, cabs, dinner, medical checkups, listen to music, do the shopping for clothes, cosmetics, groceries, buy insurance, get educated, or perform financial and banking transactions.

There are bots that you can use on your website, Facebook page, Skype, to speed business process. Lakhs of bots and over 23,000 skills makes it interesting and challenging for the programmers to create unique solutions.

To create innovative chatbots, identify a unique problem or need, chart out the probable solutions, break down in tasks, what and how can you automate, are your data ready, and can it serve multiple industries or the selected one with features that do not exist.

Closing Thoughts:

Intelligence is mandatory for innovation in Artificial Intelligence technology. Chatbots got created to reduce human interaction, conflicts, and arguments but on the contrary, the same attributes of human nature are the food for innovation. There are always good ideas that can be improved so are the systems. The future of chatbots is the conversations predicted to save $8 billion per annum by 2022.

The need for high-quality chatbot training data

Technology enhancements in Human-Computer interaction has allowed users to interact more seamlessly with computers over a period of time. From setting up medical appointments to online check-in for flights, AI chatbots that imitate human conversations have gained prominence recently. We’ve all used a chatbot like Alexa or Siri to simplify our lives and workload, but do we know how they actually work?

What is a Chatbot?

A chatbot is a type of software that can simulate a conversation with a real human user. The medium used for this exchange is through applications, websites, or telephone conversations. Technically, a chatbot is a piece of software that conducts a conversation via auditory or textual methods simulating how a human would behave as a conversational partner

Chatbots learn from human interactions and grow over time. Broadly speaking, there are two types of bots; one that works on pre-defined rules and the other that can learn from data, identify patterns and make decisions with minimal human intervention. Rule-based chatbots use predefined responses from a database. The bot pulls information from a database using keywords and executes specific commands associated with those keywords. Smart machine-based chatbots, on the other hand, use artificial intelligence and cognitive computing to synthesize data from various information sources while weighing context and conflicting evidence to suggest the best possible response.

what is a chatbot

So, why are chatbots so popular?

Artificial intelligence has a wide range of applications for several fields. Chatbots are one of the most popular examples of artificial intelligence. They are an important asset for many businesses, as they assist in customer support among other things. According to a 2011 study by Gartner, by 2020 around 85% of our interactions will be handled by chatbots rather than humans. Chatbots aren’t just used for answering questions, but they also play a vital role in collecting information, creating databases, etc.

Chatbots help with:

  • Customer service’s first priority is its customers. Their experience determines the success or failure of a company. When online shopping is considered, it has been observed that most shoppers need some kind of support system in place. They need help at each step of the purchasing process, which is where chatbots come in to make this process smooth and quick.
  • Customer information informs their customer service strategies based on the data that they collect about their consumers. Chatbots take information from the reviews and feedback and use that information to help determine how the company can make its product better.
  • Lesser workforce – The work done by one chatbot is better than getting it done by a large number of employees. Companies can cut down on costs by using chatbots that can handle a variety of customer interactions, thus making the work simpler and more efficient as the amount of human error is reduced.
  • Avoids redundancy – Tasks can be avoided within company call centers and the employees, that is, they will help in ensuring that the employees spend their time on important tasks rather than repetitive ones.

Chatbots today can answer simple questions using prebuilt responses. If a user says A, the chatbot will respond with B and so on. After this development, however, expectations have increased. We are now looking for more advanced chatbots that can perform several tasks.

Conversational AI chatbots can be divided into a number of categories based on their level of maturity:

Level 1: This is the basic level where the chatbot can answer questions with pre-built responses. It is capable of sending notifications and reminders.

Level 2: At this level, the chatbot can answer questions and also lightly improvise during a follow-up.

Level 3: The assistant is now capable of engaging in a conversation with the user where it can offer more than just the prebuilt answers. It gets an idea of the context and can help you make decisions with ease.

Level 4: Now, the conversational chatbot knows you better. It knows your preferences and can make recommendations based on them.

Level 5 and beyond: Now the assistant is capable of monitoring several assistants to perform certain tasks. They can do efficient promotions, help in specific targeting of certain groups based on trends and feedback.

So, what goes on behind building a chatbot?

Developing a conversational chatbot is a long process, one that requires innovation at every step. The first and the most important decision to be made is how the bot will process the inputs and produce the reply. Most systems today used rule-based or retrieval-based methods. Other areas of research are grounded learning and interactive learning.

  1. Rule-based
    The chatbots are trained using a set of rules that automatically convert the input into a predefined output or action. It is a simple system, but highly dependent on keywords.
  2. Retrieval-based
    With this system, the bot receiving the input locates the best response from a database and displays it. It requires a high level of data pre-processing and is difficult to personalize and scale.
  3. Generative
    As the demand for chatbots increases, more innovation is being demanded. The limitations of the above-mentioned systems are overcome by this one. Here, the bot is trained using a large amount of chatbot training data. Generative systems are trained end-to-end instead of step-by-step and the system remains scalable in the long run.
  4. Ensemble
    All advanced chatbots, like Alexa, have been built with ensemble methods that are a mixture of all the three approaches. They use different approaches for different activities, but these methods still need a lot of work.
  5. Grounded learning
    Most human knowledge isn’t in the form of structured datasets and is instead presented in the form of text and images. Grounded learning involves knowledge that is based on real-world conversations.

For a chatbot to function as per the requirements, it is important to provide it with high-quality chatbot training data. What exactly is AI training data?

A chatbot converts raw data into a conversation. This raw data is unstructured. For example, consider a customer service chatbot. The chatbot needs to have a rough basis of what questions people might ask as well as the answers to those questions. For this, it retrieves data from emails, databases, or transcripts. This is the training data.

The process of formulating a response by a chatbot

The Importance of High-Quality Chatbot Training Data

Most of the chatbots today don’t work properly because they either have no training or use very little data. The implementation of machine-learning technology to train the bot is what differentiates a good chatbot from the rest.

Training is an on-going process that consists of five stages:

  1. Warm-up training
    The client data is used to start the chatbot. This is the first and most important step.
  2. Real-time training
    The incoming conversations are tracked and tell the bot what people are asking or saying, instead of working purely based on assumptions.
  3. Sentiment training
    The way people are talking to the bot is used to train language and functions. For example, an angry user is dealt with differently as compared to a happy user.
  4. Effectiveness training
    In this method, the result of the conversations is analyzed and the bot is trained accordingly to reach more people faster.

These are just a few ways on how high-quality chatbot training data can enable a conversational bot to produce optimal results. After this, the chatbot is checked for improvement at every stage. 

Chatbots make interactions between people and organizations simpler, enhancing customer service, and they also allow companies to improve their customer experience and overall efficiency. Human intervention is vital to building, training, and optimizing the chatbot system.

How chatbots are redefining customer experience

Chatbots’ reliability and consistency in serving customers have changed the way the world created the customer experience. A company that regularly communicates with customers can experiment and improve using AI-based chatbots. Digital transformation can favor the customer service and experience. The world is moving fast and so are the technological advancements. If you intend to draw benefits from implementing the latest technology, there is no reason for further delay.

Why Customer Experience Is Important For Every Business?

Customer experience is a trophy that companies receive for something they do with pride. Companies focusing on improved customer experience know the worth of single positive feedback, share, comment and rebound effect it creates. New customer acquisition and maintenance of existing customers are crucial for market sustainability. Returning customers are solid proof of the experience you created for them. 

Customer loyalty is not achievable with marketing tactics it is a long-term investment in the customer relationship. The customers, who have a guarantee towards service or product, trust the companies. The companies in return continue to provide flawless service. Customer experience is a key feature in brand building. Attracting new customers is challenging and bringing back a lost customer is even tougher. 

Customer satisfaction has a direct impact on revenues and the company’s reputation. Thus, customer experience is of ultimate importance to every business.

How Has Customer Experience Changed Over The Years?

The customer experience has changed with the availability of the internet and loads of information that influences the decisions. The power of researching about the product, services, and the competitor’s brands raises the overall expectations. The features, the price, functionality, use of advanced technology, and response from the company all such expectations have changed with the market. The launch of the latest technology based affordable solutions is changing their demand.

Customer support is no more just issue resolution team; the general queries related to product, price, and availability are part of customer service. The location constraint; faced by customer care is removed by chatbots and it eases the process. It has changed the way the pre and post-sales interactions take place. Customer experience should be enjoyable, useful, and reliable. B2C businesses have a great opportunity to create a better customer experience.

What Are Chatbots?

Chatbots are AI-based conversational robots designed for the specific needs of the company and its services. The software executes automated tasks like communicating with users without any human control over the bot. These chat platforms either independent or via websites are effective through the internet. The chatbots developed with specific purposes as discussion and basic plus extended conversation with humans are just like instant messages.

The response to the queries is spontaneous and machine learning helps them process the requests. Chatbots can respond to the text and voice inquiries and perform the required actions. The knowledgebase helps chatbots to search for accurate response by combining information to communicate. The best examples of chatbots are Alexa from Amazon, Siri by Apple, Microsoft’s Cortana, and Google Home.

Companies like Pizza Hut, Uber, eBay, Lyft, Emirates, Bank of America, MongoDB, LeadPages, TechCrunch, and many more are already using chatbots to deliver a better experience to the customers.

Grand View Research Report says that the chatbot market globally is predicted to reach USD 1.2 billion in just ten years. The report says that the demand for intelligent virtual assistants is rising with automatic speech recognition and text to speech conversion. 

Why Do We Need Chatbots?

These instant messengers create a personal and real life-like experience. The speed and precision it brings to the customer service are securing chatbots position in businesses. The growth of the business is a factor that invites companies to get their own chatbots. 

Customization of messages is the next step for the improvement in chatbots. Repeating the same messages does not make sense hence learning from the customer behavior helps. Companies use chatbots by keeping their goals in mind; bringing relevance to the user journey, create intimate experiences, and engage with users.

Chatbots used uniquely for sending product updates, promotional messages, and product comparisons can deliver a better experience. We can collect user data, offer services, and replicate human interactions. The search for information is simplified, communicating can be easier, and personalization of information is possible too.

Chatbots take care of the basic level of communication. In case of inability to solve or in case of customer dissatisfaction; it passes to human handled customer service process.

Chatbots are available full time; they eliminate the waiting period for attendance by a customer care representative. They save money on companies spent on calls and customer care activities. You save on hiring and training costs of customer care executives.

Chatbots have no dependency on moods, feelings, interpretations and have no perception of who should behave how nor do they respond considering this. Chatbots can be effective at any given time and can do mundane tasks with the same precision every time without being bored.

Why Chatbots Are The Future Of Customer Service?

A survey by Business Insider suggests that 80% of the enterprises will use chatbots by the year 2020.

Businesses like banks, telecom, retail chains, e-commerce, and many industries use chatbots as virtual assistants for customer support. Initial training costs are higher but the inquiry management and response save costs and time in the long run. It works on FAQs, the questions that are similar but framed differently by the users. The software allows the bot to explore the existing data about the user and the information stored on the topic. 

The ability to understand the queries, recognition of terminology, dialogues, and presentation of the query is machine learning. A chatbot can identify if it is a statement or problem, select a proper template for the response, cross-check with the user if the understanding of the question is correct. 

The data is collected from various sources by the bot; it is cleaned, segregated, marked, and classified for reference. The data built from the customer service center e-mails, manual chats, training material, and call recordings are useful in improving customer experience. The dialogues that happen in this process are repetitive and this helps template creation and standardization of responses. The personal information from this data removed intelligently works in favor of companies. The intention is to extract the question-answer sets for further use.

The sequencing of data helps in organic search for the chatbot reducing the mistakes in understanding the questions. Chatbots can rectify typo errors and reframe the question-received input. Speak the language your audience uses not in terms of spoken language but the latest terms. Solve actual problems by asking relevant questions. Avoid missing opportunities by being available 24X7. A single chatbot can enter into multiple conversations that earlier needed a lot of employees.

Independently owned company or a large organization both can benefit from AI Chatbots. The companies with fewer resources or high frequency of customer conversations, in both the cases the chatbots, can serve more practically. Salesforce survey indicates that 64% of the agents can solve complex problems as AI Chatbots deal with the basic ones. 

The customer experience is changing and the expectations are rising with the immediate response in 42% cases and response in less than 5 mins in 36% cases. The speed with which chatbots communicate, businesses will certainly churn information fast to serve faster. (Salesforce.com)

How Are Chatbots Used In Business?

Businesses and customers can get a reliable solution from assistance AI-based chatbots provide.

  • Answering questions 
  • Redirecting to FAQs
  • Providing detailed explanations 
  • Resolving complaints 
  • Bill payments 
  • Flight or restaurant booking 
  • Schedule meetings
  • Purchase items 
  • Managing subscriptions
  • Creating a brand image

How Are AI Chatbots Bettering Customer Experience And How Data Is Enabling This?

Artificial intelligence involves machine learning. AI creates intelligent machines, and ML creates systems that can learn from experience. The eBay chatbot enables a user to chat using a smartphone or Google Home and it can purchase a product at the lowest price with your instructions.

The data collected by asking questions on chat, collected from surveys or any brochures/e-books the user downloads are stored for future use. This data helps to communicate with the user in the future. The preferences of users are stored; this creates a strong rapport and good impression. The feeling that the company knows the customer is special. The customer can relate to how well a company deals with data. The latest offers during the chat process ease registration, with existing information. There is no need for the user to create logins.

The data AI chatbots uses increases customer engagement rate, build brand awareness, and creates a personalized experience. The amounts of e-mails read less or not opened, due to flooded inboxes. The chatbots allow us to share the same amount of information at a faster pace. Chatbots can send text, image, pdf, or message in any form. This restriction less communication introduces increased activities of marketing and promotion.

Chatbots are effective and soon may replace the search window on the websites. Creating a chatbot requires an understanding of the business as well as a target customer. If your customer base for the product is the 16-30 age group of chatbot can be a perfect solution. For the age group of 55-65 maybe the design with voice command or connect calls would work better instead. The internet connectivity is the dependency for chatbot hence the drops in the internet or limited availability can be an obstacle in serving efficiently.

The AI data is useful for training purposes, analysis, and serving the customers better. The situations that arise occasionally and some that arise regularly are included in training the customer representatives with the accumulated data.

The Future Of Customer Experience And Chatbot

AI chatbots are preferred by most of the companies as it saves time, money, and efforts. About 46% of internet users in the US would choose live support instead of a chatbot as per a survey by usabilla.com.

Machine learning increases the accuracy level of chatbots. ML allows the system to learn from the data but AI helps in decision-making. ML finds the solution for a user but AI will find an optimal solution. The advanced systems can go beyond the general chat. They let the user know that they are speaking to a Chatbot. This can change the way they ask questions and the response received from the bot can become more acceptable.

According to the report by Global Market Insights, the market worth of chatbot will be $1.34 billion by the year 2024 and nearly 42% will be dedicated to customer service.

Connect the AI Chatbots created by you with facebook messenger, Alexa, Siri or any of the reliable bots to increase efficiency. Chatbots can help take actions that are interaction or information-based. The user can actually complete the task of purchase, shopping, booking from the same chat window. There remains no need for a user to search for other ways of completing the task. It saves time and effort of the users and the companies get faster conversions.

AI can hold conversations as humans do, these dialogues create comfort and trust for users to participate in product/service-related feedback or surveys. The simple and complex form of communication with the prospects and existing customers is levered by the chatbots.

Chatbots were in making since the 1950s but today they have shape conversations using the triggers as keywords. Chatbots are better listeners and thus provide better solutions to the problems. The designing of chatbot involves humans hence the customization is programmable. 

The chatbot applications are useful in customer service, social media marketing, and order processing. Sectors like BFSI, Media& Entertainment, Healthcare, Retail, and Travel & Tourism are widely using these solutions. The deployment of Chatbots can be on-premise or cloud, both opens easy ways of dealing with customers. 

With gradual development, the concerns of delay in response, irrelevant suggestions, sharing of inaccurate information, misunderstood requests, or unhelpful responses have become a checkpoint. This is not the failure of chatbot but the development stage, which can assure improvement by the involvement of AI companies. The continuous growth in AI technology is the commitment of experts for the betterment of human life including the business aspects.