Just getting started with chatbots and found some old(ish) tutorials that begin with rivescript.
The website seems down though for already couple of hours.
Was the project abandoned if anyone knows, or am I just being impatient hehe?
Any other beginner resources to making a chatbot you would recommend?
Thanks 🙂
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Hello!
I’m making a chatbot as a personal project which intends to have human-like conversations.
However, mainly due to the lack of training data and all the possibilities of conversation topics, I’m finding it hard to get that human-like conversation flow.
Does anyone know of any online resource which could help me in learning how to design better chatbot conversations? My aim is not to make this a customer support chatbot, but just to have a friendly conversation with it.
Side note: I’m using DialogFlow for the chatbot, just in case you were wondering.
Thank you!
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With nearly 1 in 4 U.S. adults already having a smart speaker in their home, voice assistants and conversational AI are quickly increasing in popularity in most major markets and becoming a normal part of people’s lives around the world.
Systems like Alexa and Google Home have created a new field of research in cognitive science that examines the effects of conversational devices interacting with users. The widespread availability and increasing adoption rates have also contributed to consumer behavior trends and purchasing patterns — from voice assistants becoming ubiquitous to people spending more on home improvement projects and the growing use of mobile devices as digital assistants.
In this article, we’ll take a deeper look at this field and explore 9 of the most important predictions for voice assistants and Conversational AI.
The consumer shift to voice, driven by evolving user demands, is causing change across the customer service space. Voice user interfaces, or VUIs, offer highly effective means of communicating and interacting with consumers. As users become increasingly comfortable with digital interactions in real-time, brands can use conversational interfaces for faster response times and increased customer satisfaction.
Due to these reasons, voice assistance is growing at a tremendous rate and it’s highly likely that nearly every app will be using AI-based voice technology in some capacity in the next five years. The emergence of voice assistants will also be helped by the fact that voice applications are becoming significantly more intuitive, responsive, and simpler to use in the future.
Personalization is more than names at the top of emails, it’s staying in touch with customer tastes and preferences and actively including them in the conversation. Personalization is essential for building meaningful relationships that last. Businesses can use machine learning (ML), in particular, the subset of ML known as Natural Language Processing (NLP) along with Sentiment Analysis to identify the true meaning of customer requests and queries. By identifying the Intents in those requests, brands can generate accurate responses to customers instantaneously.
For example, Pillo health helps users stay on top of their medication — measuring when it should be taken, keeping it stored, and dispensing it at the right time. When a user adds a new medication to their Pillo account, the robot politely reminds them to take it regularly before the date they need to administer it.
Voice notifications are a valuable tool to engage users within the application. Notifications can be helpful in reminders, promotions, and information. 55% to 60% of all mobile users opt into push notifications which means that businesses have a stronger chance of reaching their audience with relevant and timely messages.
Voice assistants are also designed to connect to third-party apps for voice push notifications, for instance, both Google and Alexa have this functionality, allowing them to notify users about everything from calendar appointment reminders to music streaming services.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
As adoption rates among online shoppers continue to rise and voice search continues to be at the top of the eCommerce sales funnel, eCommerce sites must ensure that they have the tools necessary to capture information and engage customers. By engaging customers, brands can develop long-lasting relationships with customers.
According to Juniper Research, consumers will spend $19 billion on voice-enabled products by 2022. If voice search models are successful enough, this will introduce a new advertising gate for brands that want to keep their messages prominent.
The latest trend in the voice assistant market is built-in security features, aiming to help users feel safer when using voice assistants.
Once again, mega-corporations like Amazon and Google are taking charge here, having released updates that put security measures in place like speaker verification and ID confirmation.
To further resolve users’ privacy concerns, Amazon has published several more comprehensive documents about the Echo’s recording capabilities and how it preserves users’ data.
If you’re concerned about your data being recorded by your Echo (or lack thereof), Amazon added several significant new features to help ensure that personal information is never stored on the device.
Apps with integrated voice assistants have improved usability and make app navigation easier. With voice-activated apps, users can control nearly all of an app’s functionality through voice commands. In many ways, this is similar to text-based chatbots or GUI-based conversational agents that allow users to navigate enter websites through a single element in the website. But, voice-based navigation is even faster and easier. This is a game-changer for end-users who are less tech-savvy and want to use apps while spending less time and energy.
An advanced Interactive Voice Response (IVR) and a call tracking system can significantly improve sales and customer satisfaction. Businesses can use an intelligent virtual agent powered by an NLP engine to answer customers’ questions in real-time or create outbound calls with the click of a button. A smart call tracking system integrated into a business’ IVR lets them monitor and record every phone call from prospects or customers, creating robust data that can be used to generate outbound sales campaigns.
Increased visibility into your leads and contacts will give you a brand-new approach to sales, allowing you to optimize efforts immediately — giving your business a competitive advantage and improving overall performance.
When mentioning Conversational AI’s use in gaming, we can’t ignore the importance of text-to-speech as well as voice recognition in creating a more immersive gaming experience. This is not an easy feat, especially when considering the vast possibilities of different types of voices, including synthetic voices and generative neural networks.
That said, generative neural networks are machine learning tools that are making this possible. Developers can create dynamic verbal dialogue for video games with far less manual labor.
As neural networks and artificial intelligence engines become more advanced, game designers can create NPCs with current voice-acting tools and use them to create a more immersive storyline. The next innovations in AI engines will allow bots to develop a custom personality based on player action, producing more realistic conversations. The NPC responds according to how the player has acted throughout the game. Considering that video games have become the biggest sector in the entertainment industry, it’s promising to see voice technology being a core part of its innovations.
Voice cloning is a process that uses machine learning along with neural networks to generate realistic human speech Neural network-based text-to-speech platforms mimic how the brain functions to process language and exhibit outstanding efficiency at learning patterns in data.
Deep learning comes into play when it’s time to generate human-like speech and is particularly effective at capturing nuances such as speed and intonation.
Through the power of artificial intelligence, deep neural networks, and cloud-based GPUs, new startups can create a computerized voice that modifies your own and make it indistinguishable from the voice of a natural person. Voice cloning will certainly be one of the biggest drivers in the entertainment industry, very similar to early CGI. The realistic nature of voice cloning is already creating a buzz in Hollywood. To a lesser extent, voice cloning may see consumer uses, especially in privacy-focused online communities.
Brands like Starbucks, Spotify, and eBay have built intelligent customer service into their online presence. One of the most innovative chatbots is the Bank of America’s Announcement bot by the name of Erica. Erica uses artificial intelligence, algorithms, predictive messaging, and many other advanced techniques to help customers make payments, check balances, and new products.
On the other hand, Amazon voice assistant continues to extend its lead over the competition by announcing its Alexa Skills and Alexa Capabilities. Amongst other new features, Amazon has given developers the tools to build their own Alexa skills (apps) — a unique feature that’s not available on any other device.
Some ideas for using Alexa skills include: improving the user experience, providing information, and improving productivity. For instance, a customer can experience a new product through Alexa’s customer-centric approach — with questions like “Alexa, how is this product made?”
Conversational AI and voice assistants have improved at communicating with humans across a range of situations. However, voice recognition and natural language understanding aren’t perfect and there is still room to improve. For now, experts are innovating to combat a few key challenges, including:
Although voice recognition has advanced in leaps and bounds, AI still needs to continue improving — especially at recognizing minorities, as voice assistants today are disproportionately better at recognizing white male voices. Rather than a technological flaw, this is an indication of the lack of sample data that AI models can be trained against.
Additionally, inputs that are not appropriately processed can lead to frustration and a loss of customer trust across the board. To ensure a better experience, it is essential to develop AI that recognizes different dialects, accents, background noises, slang, and even nicknames.
2. Cybersecurity Concerns
The key to success with any conversational AI app is building trust and confidence among end-users. End-users can have high-security protocols, and despite recent advancements in privacy and security, privacy concerns are still present.
3. Apprehensive Users
One of the early expectations from voice assistants was that it would be the younger millennials and Gen Z accepting voice assistants the most. However, the older generations (ages 55 and above) seem to like the idea of voice assistants more than the younger generation. According to a survey by Think with Google, the adoption rates for voice-activated speakers are surging among baby boomers. Google found that 51% of Baby Boomers use voice assistants as an informative companion and not just as a tool to play music or make a quick shopping list.
Furthermore, as employees begin using voice-based automation in their workplace, they far likely to adopt the same technologies in their homes and personal lives. Therefore, It’s important to understand that customer hesitation doesn’t reflect poorly on your brand. Instead, it is an indication of the voice technology gap that is getting smaller every year.
The future of conversational AI, and particularly voice assistants is very bright. About 60 percent of smartphone users have tried voice search at least once in the 12 months; while they might not engage with it every day, they are beginning to see the convenience and accessibility it offers. By 2024, the global voice-based smart speaker market could be worth $30 billion, which is another indication of the vast market of voice assistants. But with every untapped opportunity comes a ticking clock, to capitalize on it before it loses its competitive advantage. With these 9 top predictions for voice assistants, we’ve tried to help businesses like yours find the right opportunity in this promising new world of voice assistants.
Get in Touch with Our Conversation Design Experts for a Consultation Today!
However, if you’re unsure of how to proceed with developing and deploying voice assistants of your own, consulting with an expert like Master of Code Global is the best way to go.
AI Voice Assistants: 9 Key Predictions For The Future Of Technology was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
Welcome to Lesson 4 in our “Lessons from Our Voice Engine” series, featuring high-level insights from our Engineering and Speech Tech teams on how our voice engine works. This lesson is from Dr. Amelia Kelly, VP of Speech Technology.
Artificial intelligence systems will reflect the conscious and unconscious biases of their creators and create poor — and often prejudicial — user experiences for underrepresented users. Machine learning algorithms are unique in that they carry out decisions based on what they’ve seen within a supplied dataset, rather than being explicitly programmed using a predetermined set of rules. Building a system based largely on data from one demographic will result in accurate performance of the speech recognition system for that sub-group, but inaccurate performance for all others.
Debiasing is the conscious and intentional process of counteracting inherent biases that are found in databases and artificial intelligence systems.
Intentional processes, such as utilizing a varied, diverse, and proportionately representative dataset of voices to train machine learning algorithms, can reduce or remove the presence of unintended bias in voice technologies.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
A biased system can amplify and propagate deep-seated prejudices held by the designers of that system, be they explicit or unintended. The effects of such biases in the context of educational technology, assessment platforms and learning tools for kids can be disastrous.
For example, if a biased system fails to understand a child’s accent or dialect, it can consistently tell that child he or she is a poor reader when, in fact, they are reading correctly. An unbiased system, on the other hand, can offer fair and uncompromised information to facilitate edtech platforms and services. AI companies need to make a concerted effort to debias their technology.
Catch up on our previous “Lessons from Our Voice Engine”:
Debiasing Speech Recognition Systems for Kids was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
With the evolution of digitalization, people are now well-connected with each other through various modes of communication on different devices like computers/laptops, smartphones, and other electronic equipment. Companies are also taking advantage of such digital platforms and developing more robotic customer service centers to help users and solve their queries as per their needs and feasibility with a quick response time.
Artificial intelligence (AI) and Machine Learning (ML) based business applications are now widely accepted at all types of AI-enabled devices and machines like smart devices, drones to self-service kiosks and self-driving vehicles, etc. With the time being, people are becoming more habitual at the same time comfortable with AI and its benefits especially when it comes to the customer service experience.
AI based Virtual Assistant services and Chatbots are taking place of human customer service to assist users anytime as per their ease. Chatbots are specially designed to automatically chat with clients to answer their queries or receive feedback towards a particular product or service. The main motive of developing Chatbots is to minimize human interference and right here under this blog, we would discuss how AI-based ChatBots enabling businesses to perform better.
One of the most interesting parts of Artificial intelligence and Machine learning as a service service-enabled chatbot is that such customer-oriented applications can understand natural languages like speech or texts used by humans for normal conversation. Natural language processing (NLP) equipped chatbots can provide an interaction just like humans do to make B2C engagement managed without human interference. NLP-based ChatBots lead to a conversational workflow with around-the-clock customer support service.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
Interacting with customers directly is now changing its dynamics. Nowadays, making direct contact with a customer becomes crucial, as they need quick answers to their queries. And if you do not interact with your customers timely your business or website might be criticized or will have negative ratings. Chatbots can provide real-time communication to understand the problems of the customers and respond to them instantly with the right answers. With this attitude and applicability, such an application is gaining traction and offers businesses a great opportunity to improve their relations with their customers.
Hiring many employees for customer service is costlier than implementing a Chatbot that can attend to multiple types of customers at a time with the same efficiency. As Chatbots are fully automated they can allow administrations to switch many consumers simultaneously. By integrating Chatbots in the place of human agents you will not only able to save employee overheads but will also avoid the mistakes and technical errors done by the human agents. It is also useful in scheduling meetings and assigns similar tasks with good results. The right mix of Chatbot training data set is used to develop such applications so that they can learn while interacting with customers and respond accordingly.
Chatbots can provide a convenient platform for users to ask their queries and get the most suitable answers. No doubt it has become a powerful tool for businesses to keep them engaged and improve their customer relationships. Moreover, it can perform repetitive tasks without fatigue like humans and it can perform each task efficiently in less time than is possible only when you choose the right bot builder AI platform.
Every technology has pros and cons, as it is an AI-based system, hence such models need a huge amount of machine learning chatbot data that can cost you in terms of GPU cost increase making chatbot more expensive. However, with the help of suitable technology and the right resources, you can produce highly interactive and cost-effective Chatbots to get quality results helping you improve your overall business performance. originally Click
Implementing chatbot helps in monitoring consumer data gaining insights was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
This post is part of a series of articles. It comes as a reflection of my digital journey with passion for application, automation, and the benefits they can bring. As I stay tuned to discovering (or rediscovering) how customer channels are evolving to impact our customer’s experience — either simplifying their interaction or making a bad service experience. These articles have been written with the aim of re-experiencing some of the key accomplishments from the past, that gives newfound meanings today.
When did it happen?
In 2008, I was working for one of the largest telecom service providers in India (present day Vodafone Idea). I was driving a large and complex business transformation program in customer experience area. During the ideation workshops, me and my colleagues were applying all our learnings and experiences to good use. The program was introducing a state-of-the-art customer relationship management (CRM) platform which was integrating all known and popular customer engagements channels.
After contact center, Short Messaging Service (SMS) has emerged as one of the most popular channels during the feature phone era (like WhatsApp in the smart phone era). In my earlier role, I had experienced the pain one had to go through to read and analyse customers’ free text messages that used to come on a common number (short sender code: 12345). These customer messages were of varying spectrum: some genuine requests or complaints, and rest either vague, incomprehensible, comical, or even a touché inappropriate. And this was my opportunity to bring a change to this practice or ways of working.
Note: Above graphical excerpt has been taken from the original concept note
What did I do?
I applied my empathetic perspective and ideated with the team to propose a structured approach (keyword based) and intuitive automation to manage customer’s query, request, or complaints (Q/R/C) using the SMS channel. The offering was named MySMS, and was the first conversational automation solution that was introduced in the market and was quick to gain popularity. It solved multiple pain points: auto-filtering of invalid messages, automatic assignment of customer Q/R/C to the relevant backend team, reduction in overall turnaround time. It also resulted in call deflection from the contact centers (a more costly channel). As the business owner for this application, I defined the roadmap to include new enhancements and make the dialogue (or asynchronous messaging) more intuitive: auto-responding with keywords matching customer’s text or providing help options so that customers are not required to remember the keywords. Also, automating the end-to-end request fulfillment process, making the experience more seamless with zero manual interventions.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
Note: Above graphical excerpt has been taken from the original concept note
What impact did it make?
The firm was receiving approx. 40,000 SMS daily (across all regions). Only 30% of these messages were valid and the activity used to consume a vast amount of human effort (wastage). MySMS automated this end-to-end journey and above all improved everyday work life of 23 employees — who could focus on more qualitative work.
MySMS is a good use case of present day, chatbot or Conversational Artificial Intelligence (AI). This new age term represents messaging and speech-enabled applications that offer human-like interactions between computers and humans.
The key drivers instrumental in making MySMS initiative a huge success was:
§ In the middle of difficulty lies opportunity (Albert Einstein): Remember the things that made life difficult; so that you can make it right or better one day.
§ Stay hungry, stay foolish (Steve Jobs): Stay curious and never be shy to try new things
§ Human factor: Leverage your experience
§ Simplification: Make use of Technology
As an endnote, I wish to summarise with the thought: disruption or innovation can happen anywhere or anytime, by chance or by design. It happens when we apply clear conscience and empathy to solve a problem. It’s still magic even if you know how it’s done.
Serendipity: Reverse Discovery of Conversational AI was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
People nowadays do not have enough time to wait too long for you or your representative to resolve their issues related to your business. There are millions of brands out there that can attract your customers if you cannot connect with them.
By considering such concerns, businesses in different sectors, including lifestyles, healthcare, and eCommerce, use AI’s innovative technology, which we call Chatbots.
Like its name, Chatbots are the bots that work as representatives in your absence to deal with your clients or potential customers. Chatbots are capable of having human-like conversations from initial to final discussion with the prospect.
Chatbots were only used on websites in the early days, but now it is also available for social media channels and online messaging platforms. So, even if you are not available to talk over these platforms, your Chatbot can bring you a sale.
A powerful AI Chatbot can automate numerous tasks that include customer service, sales and marketing, operational tasks, etc.
There are many types of Chatbots available, but choosing the perfect one may be a tricky task for some people. Some SaaS Application Development Companies do it for you while developing the application. While selecting the Chatbots, make sure to identify your target audience.
With that, know the requirements and objectives that you want to accomplish using these AI-powered chatbots. Few factors that should be considered on selecting chatbots are response time, function and functionality, etc.
Here in this blog, we are listing down the top ten Chatbots tools that will boom in 2021. These Chatbots have their features and advantages over others. You can go with one that suits your SaaS business requirements.
It is a tool that helps you to create amazing Chatbots using drag and drop builder. It also allows applying pre-existing templates along with customization. Using this tool, you can design your Chatbot for a well-organized conversation with the customers.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
It is a live chat software that provides real-time chat support on the web, mobile, and messages for businesses. Zendesk Chat helps in regaining lost customers and increasing the conversion rate quickly. With that, It automatically creates tickets from chat interaction and turns down the customer wait times through skills-based routing.
Chatfuel is a Chat tool that makes bot building very easy for all. It is the best platform for building Facebook bots. It is preferred and used by all kinds of businesses, but the list of its clients also includes big brands of the world like Adidas, LEGO, etc.
It is a free chat app that allows you to analyze and chat with the visitors on your website or even from a free customizable page. Tawk.to is quite popular, and numerous businesses use it for providing real-time support to their customers.
Botsify is one of the most intelligent AI Chatbots platforms, which build chatbots that can support video, audio, AR, VR, and text on all the messaging platforms. It helps in creating robust and intelligent chatbots for websites and other social media messaging platforms like Messenger and Slack.
IntelliTicks is a popular AI-powered chatbot platform that is known for increasing sales. It engages with every visitor of your website in a more personalized way with relevant messages and dialogues. Businesses using IntelliTicks get double increases in leads.
ManyChat is a tool through which you can build a chatbot in a few minutes without coding skills. It helps in marketing and sales through Facebook messenger. It is a fact that ManyChat supports more than a lac bots present on Facebook Messenger. It is a leader in the messenger chatbots marketing industry.
Intercom provides custom chatbots for sales, marketing, and support to customers in your business. It also offers live chat options along with integration options for eCommerce and social media platforms.
Landbot.io is a tool that helps in building AI-powered bots that interact with the users in an advanced way. It provides a drag and drop builder for the hassle-free creation of chatbots.
It is a platform through which you can build optimized chatbots. LivePerson is very convenient as well as full of features through which you can leverage advanced analytics in real-time.
These are the top chatbots builders that will boom in 2021. You can choose any of them from the above-mentioned tools. Furthermore, the Chatbot industry is growing rapidly, and businesses focus on more advanced AI-powered chatbots to improve user experiences.
But with that, make sure to give the option of chatting with a customer service representative to your customers if your Chatbot cannot resolve the customer queries.
Top 10 Chatbot Tools for SaaS in 2021 was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
Conversational User Interface (CUI) is an artificial interface with which you can communicate to either ask questions, place orders or get information.
Top-notch CUI’s offer a more human-like conversation. This helps in bridging the gap between physical and online conversations.
Many companies have started understanding the importance of conversational AI by incorporating them into their marketing strategies. Statistics show that automated conversational marketing companies witnessed a 10% increase in revenue within 6–9 months.
Even from a customer’s point of view, 86% of online buyers preferred quick and immediate customer support, which chatbots for small businesses provide.
There are two main types of CUI’s. First is the chatbots where the interaction and communication take place in the form of text. The second one is voice assistants like Google Assistant, with which you can talk to provide input.
Here are 5 of the top CUI’s and chatbots for business that cover all bases and provide a smooth and happy experience to all users.
Skyscanner is an online travel agency that launched in 2003. It allows its users to compare and find cheap flights and hotels and also hire cars.
Skyscanner is the world’s biggest independent flight search engine. In 2016, it raised $192 million to grow its engine and services. In the same year, when conversational AI and chatbots started receiving more recognition, Skyscanner joined the league by introducing their Facebook Messenger bot.
The purpose of this chatbot is to help customers search for flights to any destination through a simple conversation.
Skyscanner’s Facebook Messenger bot begins well by providing the necessary information on its home page. By displaying information like “The world’s travel search engine” and “Typically replies instantly,” it tells you what it is capable of doing.
When you continue, the bot welcomes you by your name, thus providing a personalized experience. You can then find flight deals, explore new destinations, or get tips on the best time and route for traveling.
After selecting the origin city, destination city, and travel dates, the chatbot shows a list of flight options from various airlines along with their rates. It is also capable of sending alerts if there is any change in the pricing.
Once you compare and choose a flight, the chatbot redirects you to the website to complete the payment.
The “Anywhere” feature is one of Skyscanner’s best features. If you are unsure of your destination, simply typing “anywhere” in the text box will display a list of travel suggestions from the origin city.
Throughout the process of searching and selecting a flight, Skyscanner’s chatbot constantly confirms the cities and dates that you have chosen. It also allows you to change the details with ease.
Skyscanner is one great example of a company that follows and adapts to new trends. With many people using the Telegram messaging service, Skyscanner introduced a Telegram bot to target a wider audience to search for flights and hotels easily.
The bot can even understand colloquial terms like “next weekend” or “next Monday” and display the correct options.
Skyscanner has also added a live chatbot on the Skype platform.
In 2016, Skyscanner also partnered with Amazon’s Alexa allowing users to search for flights through a voice conversation. By asking simple questions “Where are you flying from?” and “Where are you flying to?” Alexa can get the travel details from you and talk you through the relevant flight details.
The easy-to-use conversational user interface of Skyscanner is effective in providing relevant details to all customers. In just a few years since the chatbot’s introduction, Skyscanner managed to pass one million traveller interactions with chatbots across all platforms by 2019.
All the minute details show the thought put into designing the chatbot, making it a huge success.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
Duolingo is a language learning platform that provides its services for free to all users on its website and mobile app. Officially released in 2012, Duolingo now offers courses in 38 languages, including fictional languages like Klingon.
Over the past few years, Duolingo has started to leverage the power of artificial intelligence to alter the courses and make them more convenient for the user.
With the help of a conversational user interface, Duolingo has revolutionized the language learning sector.
Duolingo is an example of a great company that analyzes and understands their problems and brings out solutions to overcome them.
Duolingo understood that the most significant problem they would face would be helping users effectively learn a language. Conversing is what helps learners practice and retain the language. Simply reading words and phrases on a screen would not help in the same way.
To overcome this obstacle, Duolingo implemented the use of AI-based chatbots. They created and assigned a few characters to the bots, allowing you to have a real conversation in your learning language.
If you get stuck and don’t know how to reply during the conversation, you can also use the “help me reply” option to get assistance from the bots.
Duolingo recently took conversational learning to the next level by introducing conversational lessons. This new feature offers practice with words and phrases used in real-life scenarios and will enable you to put those words together to form meaningful sentences.
Duolingo allows you to listen and repeat commonly used sentences. It also corrects you when you speak or type the wrong word and explains its correct usage. This way, you can learn a language with Duolingo through textual and voice conversations.
As you learn more words, the difficulty levels increase, giving you thorough learning of the entire language.
Duolingo’s chatbots and conversational lessons give the user the experience of having a conversation in reality. Duolingo is known for its conversational AI and conversational marketing strategies.
Since its inception, they have added over 500 million registered users, out of which 42 million are active every month.
The coronavirus lockdown between March 11 — April 30 increased Duolingo’s users by 30 million people. These statistics show the magnitude of Duolingo and its CUI’s success.
Domino’s is one of the most successful pizza restaurant joints across the globe. Today, Domino’s operates 17,800 stores in more than 90 countries selling an average of 3 million pizzas every day.
Over the years, Domino’s has introduced different ways through which customers can order food. One such way is online ordering.
From 2017 to 2020 alone, Domino’s made 27 million Facebook impressions. This figure alone shows the success of online ordering. But Domino’s did not stop there. They introduced CUI into their business, allowing customers to order food through a bot on Facebook Messenger.
Here are some highlights of Domino’s chatbot for business.
Domino’s named their chatbot “Dom,” giving it a character. This makes the user feel that they are conversing with a person on the other end rather than a computer. Dom makes digital ordering more conversational and simple.
Dom has pre-set default options programmed into its interface. So, when you want to place an order with Dom, options like “Pizza,” “Pasta,” “Sandwiches,” etc., show up on the screen. All you have to do is select an option and continue to the next step. This eliminates the need to type in your order, thus saving time.
Dom is also aware of current deals and allows you to apply a deal or coupon to your order.
The entire process of ordering a pizza occurs in multiple steps. It includes choosing the size of the pizza, crust, and toppings. Dom makes sure that it constantly summarizes your order while simultaneously adding new information to it at every step.
Dom also simplifies the process of making changes to the order. Even if you are in the last step (say you are choosing toppings) and feel like changing the pizza crust, Dom will make that change for you while retaining other information (like pizza size) in your order.
When Dom is unable to understand the customer’s input, it apologizes and lets the customer know about it. This gesture is appreciated rather than displaying information that is not related to the customer’s request.
Dom’s skills also include its ability to place orders through voice commands from users, making pizza ordering easier.
Domino’s also offering its services on voice-based CUI’s like Amazon Alexa, launched in 2017, and Google Assistant, launched in 2019. Through these mediums, you can place your most recent order or track your ongoing order by asking the voice bot to do so.
Apart from ordering through chatbots and voice-based CUI’s, the Domino’s Anyware initiative allows all users to literally order from anywhere. This includes ordering from your car, smart TV, smartwatch, and through tweets, SMS, and zero-click app.
To put it in a nutshell, Domino’s conversational AI chatbot makes online pizza ordering simple for all customers. The linear flow in Dom’s CUI makes it easy to order food when compared to other alternatives.
Lark is a digital healthcare company that offers services in various sectors. It keeps track of your daily activities like food habits and sleeping patterns and aims at improving your fitness and health. It helps people in reducing weight and also focuses on reducing stress and anxiety among people.
Lark’s chatbot is an app that dedicates itself to all these activities. Users can interact with their bot through text, voice, and button options.
One aspect that sets a fundamental difference between ordinary bots and top chatbots like Lark is its varied responses to the same topic. Even if you type in the same sentence repeatedly, Lark will respond with a different answer. This small attribute enormously improves its human-like conversational style.
Lark’s responses are also friendly and caring. This is crucial, especially for conversations about mental health and stress. These responses help in motivating the users.
While conversing with a healthcare bot, knowledge about everything must be its top priority. Lark is one such bot that knows stuff related to its field as it was created with the help of experts and professionals in the healthcare sector.
For instance, when you tell Lark what you ate for lunch, it can recognize it and place it under a particular category (like veggies or meat). It can then make recommendations (like switching to other categories) so that you consume all kinds of nutrients to maintain a balanced diet.
In a way, Lark acts as your fitness coach and nutritionist.
Over the years, Lark and its conversational user interface have received a few achievements.
In 2018, Bank of America launched their own chatbot “Erica” to help their customers in their transactions on the mobile app.
Created using AI, predictive analytics, and cognitive messaging, Erica can help customers in numerous ways like,
The home page of the app displays a greeting message that welcomes the user. Through the prompt at the bottom of the page, you can type or voice out your task or query. Erica also displays a message, “See what Erica can do,” which shows all its functions when clicked upon.
Erica can efficiently understand voice, text, as well as tap inputs from the users. Erica indeed shows its versatility when it comes to understanding the customers’ varied questions. Currently, Erica can understand almost 500,000 different variations of the questions that customers ask.
Erica’s time-to-resolution averages around three minutes only via voice within the app. The voice-first attitude of Erica has redefined banking, taking it to a whole new level.
Erica provides meaningful insights that help customers in making better decisions. These insights can also help in saving money. Erica can do this by suggesting stuff like putting the cash rewards from your credit cards to better usage.
Instead of asking detailed questions or sending out long forms, Erica asks for feedback subtly. Once the tasks are completed, a smiley and a sad emoji appear. You can easily give feedback by tapping on any one of them.
Around 500,000 new users make use of Erica’s services every month. At the end of 2019, Bank of America stated that Erica alone had witnessed over 10 million users and was about to complete 100 million client requests and transactions.
These statistics show that Bank of America hit the bulls-eye with its conversational AI.
Using Artificial Intelligence (AI) and Natural Language Processing (NLP), CUI’s can understand what the user wants and provide solutions to their requests.
Some of the best CUI’s provide the following benefits to the customer and the owner.
Going through these game-changing conversational user interfaces and chatbots for business, it is clear that using them in conversational marketing strategies increases a company’s sales and leads to more happy customers.
Most of these chatbots also prove that thinking about all the small and minute details and incorporating them in the CUI’s can take the company a long way forward.
Top 5 Examples of Conversational User Interfaces was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
