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  • 9 tips to write the perfect chatbot script!

    In December 2018, the sci-fi series Black Mirror released Bandersnatch. Much like the choose-your-adventures books we’ve grown up with, Bandersnatch was an interactive film where viewers make decisions for the main character, Stefan- who is designing his own interactive game. We start to see the framework of how to create a game in this genre. Starting from the pages of decision trees to the decision fatigue of having to come up with every alternative for each option.

    Choose-your-own-adventure genres of media are an elementary, low-tech version of interactivity, long before today’s complex open-world games were available. We now live in an environment where interactive interfaces are everywhere. Phones, laptops, smartwatches, tablets, chatbots, and televisions are integral parts of our daily lives. Every decision we make, every channel we flip, every button we press, is a choice, and each choice needs to have an outcome because dead-ends aren’t pleasant for anyone.

    What all types of interfaces have in common, is that they are used, in part or entirely, by humans. That’s why we call them User Interfaces, and with it came User eXperience, to focus on how their experience when using and designing an interface.

    ‍The rise of the interfaces

    Since these interfaces play an integral role in our everyday lives, it has to be easy to use. Imagine how frustrating it would be if one day, all of your applications stopped working- The television always reverting to “channel not found,” your voice assistant giving you 1,000 options before the one you wanted, and your phone shutting down every time it didn’t understand you. Wouldn’t that be the most frustrating day ever?

    Now, here’s the issue- there are many, many chatbots that continue to provide service like this. So, why aren’t you designing more easy-to-use interfaces?

    We need to remember that one of the most important ways that humans are taught to interact with the world is through conversation. And conversational UI is all about making information accessible.

    Information drives technology and culture, and we can’t get enough of it. It’s the reason the internet age has so radically transformed us: for the first time the individual’s access to information is almost infinite. As a species, the primary questions no longer center around how to obtain and share information, but how to consume, prioritize, and contextualize it now that it’s at our fingertips.

    The most natural way for us to transfer our information, our culture, is by talking with each other and asking questions. And this is what Conversational UI strives to replicate at its core. If done correctly, Conversational UI can do something really incredible. While most of us shy away from asking questions to others, Conversational UI takes that barrier away and allows anyone to ask without judgment.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    With Conversational UI, we get the comfort of a humanized interaction without this fear. This is such a transformative experience for information because it breaks down that barrier in a way that is especially accessible.

    These interfaces are so powerful, yet to this day, we still see them being under-utilized. The truth is, most chatbots simply aren’t trained to handle even the simplest of queries. While it’s easy to put all the blame on your chatbot, your brand reputation ultimately takes a hit. But fear not! Unlike the company Tuckersoft in Bandersnatch, we’re here to guide you through the process of perfecting your chatbot script.‍

    Recount your steps‍

    It is often said that the dialogue elements used, with the dialogue flow, can make or brake your chatbot.
    Medium article on chatbot script.

    ‍Remember, designing a chatbot script is a lot like writing a script for a choose-your-own-adventure story. The past is our greatest teacher, so take a step back, and think about what they did.

    For example, Stefan from Bandersnatch, even R. L. Stine, the author of Goosebumps, made great use of using decision trees, but what led to Stefan’s downfall was that he didn’t have a cohesive story or a goal in mind.

    Designing a conversational interface is a lot like writing a script for a choose-your-own-adventure game, filled with the decision trees and that decision fatigue. So, let’s look at this step-by-step.

    Step 1: Meet your characters

    We meant it literally when we said, approach this like it’s a story. Before we set up our goals, we have to establish a few characters.

    Think of your user as the protagonist of your story while the second character is your chatbot. Designing your user should be easy since you’ll have a history of previous interactions to refer to. Using this will help you define a persona for the protagonist.

    The real challenge is designing your chatbot’s character. The brand voice of your company should ideally be reflected in your chatbot’s character design. That’s when your sales, marketing, and support teams will come in handy. Use their insights to design your bot.

    Step 2: Define goals

    Now it’s time to dig deep into the analytics of your brand- Think about what your users would want to achieve after interacting with your chatbots.

    While you can’t control what your protagonist will say in each situation or their wants, you can always predict it. Ask yourself- What do your users want your bot to do? This can be as simple as just answering the most frequently asked questions or providing real-time recommendations while shopping.

    The types of questions will determine the sophistication of your chatbot. It’s easy to jump in on the technology hype cycle and use a chatbot that incorporates heavy NLP but sometimes that isn’t the need.

    Step 3: Basic must-haves

    Remember, the dialogue of a good play both advances the plot and gives us a glimpse into the characters’ personalities. Likewise, your chatbot’s dialogue should both move users towards their goals and tell them about your brand. So let’s start writing.

    • Conversation starters- You only have one shot at making the first impression, so make your greeting as appealing as possible. And don’t forget to entice your users to write back.

    At this stage, it can be a good idea to use buttons, quick replies, and carousels to illustrate different options users have for interacting with your chatbot.‍

    • Small talk fragments- they are great for simulating real conversations. Just keep the chatter to a minimum for utilitarian bots.

    “How’re you doin’? Here’s a cat GIF to cheer you up.”‍

    • Objective-related fragments- Interacting with a chatbot typically includes a number of questions that help you qualify the potential customer and make the conversion.
    • Conversation finishers- All you have to do after a user makes a conversion is to thank them for attention and remind them to come back if they ever need something.

    ‍Your last message is extremely important as it’s the first thing your users will see when they open the messenger. You can be specific, creative, or inciting, but never boring!

    Write each fragment separately and then map them onto your conversation flows.

    Strung together they’ll form countless dialogue paths.

    Remember, users can only travel one path at a time. So make sure that each separate conversation has a good flow and makes perfect sense in and of itself.‍

    9 Tips on How to Write a Perfect Chatbot Script

    1. Introduce your chatbot

    At the very beginning of the conversation, the chatbot must introduce itself to the user and list the services it can provide. The first message of your chatbot script may look like this one:‍

    “Hi, Alex! My name is Unicorn chatbot. I can help you place an order, check the order status, and restore your password at the XYZ.com website.”

    ‍This way, your customers are aware that they’re interacting with a robot, and not a customer service representative. It will help you to avoid misunderstandings and improve overall customer satisfaction.

    2. Provide guidelines

    Once the chatbot has introduced itself, it needs to direct your customers to the next step. The bot should provide basic guidance to direct the conversation in the desired direction.

    For example, here’s a snippet from a conversation with a travel chatbot assistant. It perfectly explains to the customer what to say to check for flight prices in December.‍

    Travel Bot: Find the best flights. Hi! I’m Travel bot, your personal travel assistant. Want to check out some flights from Dubai to California? Just say something like “Flights from Dubai to California in December”

    The instructions are clear. If your customers want to book a flight from Paris to London, they will type a short message:

    “Flights from Paris to Dubai in December”

    Such a reply will allow the chatbot to keep the conversation going. The chatbot will process an incoming message fast and accurately.

    Now imagine that the chatbot hasn’t provided any directions to the user. The chances are the user will write a message similar to this one:‍

    “I would like to book a flight from Paris to Dubai. What are the cheapest options available for the end of the year?”

    This message is wordy. This means it’ll take the chatbot more time to process the request and provide the answer. Besides, such wordiness may negatively affect the accuracy of the chatbot.

    Yep. Clear guidelines are really important.

    3. Suggest options

    Another way to smooth the communication flow is to suggest the user with a couple of answers in your chatbot script.

    Here is how it works. You need to write a question along with a few relevant answers. The user will need to click a suitable answer instead of typing a message.

    If you build your chatbot conversation flow this way, it will require less effort from your customer to interact with the chatbot. The conversation will become more ‘meaningful,’ and your customer will get a better experience.

    4. Use conversational language

    Do you want to make the most of your chatbot? Use conversational language — choose an active voice over a passive voice. Make your customers feel like they’re talking not to a robot, but to their friends.

    Here is an example of the use of passive voice:‍

    “Your coupon code has been successfully activated”

    You can rewrite the sentence in the active voice:‍

    “I’ve successfully activated your coupon code. You’re all set! Enjoy the discount!”

    ‍By using conversational language, you engage your customers in conversations and make them feel more comfortable talking to the chatbot.

    For some people, chatbots are still a new thing. So it’s better to use an appropriate amount of chit-chat and an active voice to encourage interactions.‍

    5. Add emotional appeal

    Your chatbot should behave in the same way as your customer service representatives do. Your bot should be polite, friendly, and should express gratitude, empathy, compassion, and other feelings and emotions.

    Imagine you are designing a script for an airline chatbot. And you crafting a reply to travelers who are complaining about the lost baggage. You have two choices:

    You can write a standard, robot-like reply:‍

    “Please, provide the reference number to file the complaint.”

    ‍Or, you could write a more human-like response:‍

    “Oh, no! I’m so sorry to hear that your bag hasn’t arrived on time. Let me help you fix this issue, so you can enjoy your trip to the fullest.”

    ‍Can you guess what will work better? The second choice. Travelers will be glad to get some empathy even though they know that they are talking to a robot, not a human.

    6. Include the right level of personalization

    Modern marketing is all about personalization. So, when you are writing a chatbot script, you should find a way to personalize your message.

    The first thing you can do is to use a personalized greeting. If your customer has already provided you with their name (for instance, while filing a signup form), you can use it to your advantage.

    Besides, you can personalize dialogue nodes using users’ date of birth, location, age, gender, and other personal information.

    Just make sure that you don’t cross that ‘creepy line.’ Try to be relevant and useful. Don’t overuse personalization.

    7. Set the right tone of voice

    Who your target audience is? What tone of voice do you use communicating with your customers on social media and via emails? You should keep your tone of voice consistent across all communication channels, and your chatbot is not an exception.

    Let’s say your target audience is law students. Your tone of voice can be friendly and informal. Can you use internet slang, informal expressions, and emojis in your chatbot’s script? Definitely.

    Now imagine that your target audience is qualified lawyers. Can you use the same tone of voice? No, you can’t. You need to make your chatbot’s messages sound more formal. You should get rid of emojis and informal words and add some legal words.

    8. Proofread the text

    Whether you write a chatbot script in a formal or informal language, you can’t ignore grammar rules. You should proofread the messages and make sure that they are free from errors and typos.

    Seriously. Don’t ignore the proofreading process. In a chat, every minor mistake will be visible. Make the text perfect in terms of grammar before display it to users.

    9. Strive for simplicity

    While trying to make your chatbot perfect, you might create too much content. So, once you build the main dialogue nodes, you need to simplify them. You should drop all the words and phrases that don’t add meaning and rewrite long sentences.

    Keep your dialogue nodes short and sweet, and your chatbot will attract more users.‍

    Do’s and don’ts for chatbot scripts

    Do: Give Your Chatbot a Personality

    “…Personality is the new user experience.”

    ‍That is, according to Ultan O’Broin from Chatbots Magazine.

    Personality plays a huge role in engaging users. When a social messaging bot has an interesting personality, people want to stick around and continue chatting with the bot. When a customer support bot has a warm, inviting personality, they feel comfortable approaching it for assistance.

    To help you create a well-written bot personality, answer these simple character development questions about your Chatbot:

    • Who might your brand be if it were a character? Would it be an animal or a human? How about a robot? Would it be male, female, or gender-neutral?
    • How might your brand’s character speak face-to-face with your customers? Would it be lively and positive? Helpful and warm? Straightforward and concise?
    • What attitude, tone, and style will resonate with your customers? Are your customer’s millennials, baby boomers, or both? How does your target demographic communicate, and how can you tap into that to make your bot relatable?
    • What is the primary function of your Chatbot? Is it to help customers with their issues? (If so, try a bot that is friendly but professional.) Is it to keep customers engaged? (If so, consider a bot that is lively and fun).

    Don’t: Make Your Chatbot Too Cold — Or Too Hot

    One of the reasons people like engaging with Chatbots is they’re light and fun. Cold or overly robotic Chatbots come off as too serious and transactional and don’t inspire continued use.

    As human beings, we respond well to things that sound human, even if they’re not. By adding a kind, or mildly amusing air to your serious Chatbot, you will be able to prevent them from being too robotic.

    While it pays to be friendly, don’t make your Chatbot too peppy, or you run the risk of making it obnoxious. You don’t want your Chatbot’s personality to outshine — or ruin — the service that you are providing.‍

    Do: Use Buttons to Speed Conversations up

    Buttons let users quickly choose an option instead of typing it out. This can come in handy for Chatbots — after all, it’s often faster and more convenient to engage with a single click rather than several typing clicks.

    Buttons also are a great way to give customers options and show available bot offerings. They keep users on track, and within the realm of what the Chatbot knows.

    We’ve found that when Chatbots include buttons in conjunction with quick replies, users spend more time interacting and send more messages.

    Don’t: Forget Text

    Buttons may be easier for some functions, however, don’t disregard text responses.

    Text can be more engaging for customers who like to mess with bots and test what they’re capable of. It can also prove faster and easier for users who just want to tell your bot what they’re looking for, rather than click through a maze of buttons.

    While bots that use text can be a bit more time-consuming to develop (their decision trees will be longer!), they become more portable and can grow far more advanced than their button-using counterparts over time.

    Many effective bots use a combination of text and buttons to keep customers engaged, and successfully fulfill their functions.

    This keeps the conversation with the bot flowing smoothly, while still allowing the user to give personalized responses.‍

    Do: Be Upfront About Limitations

    It doesn’t matter how many things a Chatbot is designed to do: every bot has its limitations.

    Whether your chatbot finds its limitations in conversation or in functionality, it’s just as important to tell your customers what your bot can’t do, as it is to explain what it can do. When designing your bot, take the time to plan for the unknown.

    The best way to tell users what your Chatbot can’t do is by reinforcing what your Chatbot does well.

    Don’t: Let Your Chatbot’s Limitations Dictate its Quality

    Often, external limitations aren’t as much of a barrier to Chatbot success as they may seem.

    While you certainly want your Chatbot provider to offer a robust set of features, the biggest deciding factor in the quality of your Chatbot isn’t what bells and whistles are available at the time of design — it’s the quality of your copy and your decision tree.

    As User Experience Designer Vaibhav Verma writes, “…when it comes to Chatbots, a copy is a new design. This is the ultimate mantra for designing a magical Chatbot.”

    The better your copy, the more engaging and helpful your Chatbot. This is unconditionally true, no matter what external limitations exist. The more paths you add to your Chatbot’s journey map, the more powerful it will be. And, the more information and similar questions you add, the better your Chatbot will be able to assist your customers.‍

    Do: Break Up Information as Needed

    There are lots of ways for your Chatbot to push useful and engaging material. Depending on your Chatbot’s purpose and design, your Chatbot could send images, links, GIFs, and emojis to break up information, and make the conversation more colorful.

    Have your Chatbot break up information by mimicking the flow of regular human messaging conversations. That means having your Chatbot send users multiple short messages, instead of one long one.

    For customer service Chatbots, your bot can push links to helpful content and knowledge base articles, or can even automatically redirect users to their desired page.

    Don’t: Send Huge Blocks of Text

    Don’t send your Chatbot users large blocks of text; they are difficult to read and may frustrate, discourage, and/or overwhelm users.

    Don’t: Assume Conversations Will Always Move Linearly (or Smoothly!)

    Users may want to change the topic of the conversation or ask a follow-up question. They might use sentence fragments, abbreviations, misspellings, and region-specific jargon while expressing themselves.

    Chatbots can be prone to misunderstanding these shifts, as well as the subtleties, complexities, and colloquialisms of regular speech patterns.

    Don’t forget to account for multiple word choices, phrasings, and start options when creating your bot’s journey map, or you will end up with a frustratingly inflexible Chatbot.‍

    Do: Prepare for interruptions and misunderstandings

    Chatbots have to be designed to handle every possible misunderstanding in any step. That means that a specific error message needs to be set just in case a misunderstanding happens. That would help us to get your users back to the scope without having to restart.

    You also need to allow these users to change their minds, ask another question, or switch from a serious conversation to simply messing with your bot. Keep your journey mapping flexible; train your chatbot to deal with interruptions, rather than pushing users down a rigid decision tree.

    Program your Chatbot to deal proactively with any ambiguities and misunderstandings. If your bot detects various keywords and is unsure of a response, have it cleared with your customer before offering them an answer. Related questions are a great way to suggest a possible next step and remedy misunderstandings. That way, if your Chatbot’s answer wasn’t satisfactory, your users will have several other questions to choose from that might be.

    By responding to vague questions with multiple clickable solutions — and asking users to rephrase queries that the bot does not understand — you can manage to keep the conversation on track and satisfy your users.

    Misunderstanding-proofing your Chatbot is a tricky task, and will likely require several attempts. Be sure to look back over Chatbot data and response history to constantly create better fallback responses.

    Don’t: Rush Chatbot Design

    Some Chatbot software makes bots so easy to set up, you may find yourself wanting to rush through configuration to get it live already.

    Before you rush through Chatbot design, think about the negative effects that an ill-equipped Chatbot can have on your user experience. For example, a rushed customer support Chatbot might result in reduced customer satisfaction, more customers calling in for support, and a growing number of users who will do anything to avoid using your Chatbot a second time.‍

    Do: Edit your chatbot before, during, and after it’s live

    Test your Chatbot internally before letting your customers have at it. This will help you work out any kinks before it reaches customers. By asking users within your company to test the Chatbot, you will be able to catch early on where conversation flow is breaking.

    Once your Chatbot has gone live, review transcripts and continue editing them. Give customers the option to rate how helpful the bot was to help them learn what is working and what isn’t.

    Ensure that you don’t have any loose ends and that the branches of your decision tree work well together.

    Don’t forget to test your Chatbot on mobile devices to make sure that it is ready to meet a mobile audience.‍

    Can you create sales funnels using chatbot scripts?

    The most important thing which you need to understand is that chatbots are built for effective filtration and not for closing sales for your business.

    Your initial conversation can create an MQL for your business which can later be passed on to an agent to convert them into your customer. Integrating Live chat platforms with your chatbot can be effective in this process.‍

    1. The Awareness Phase

    The awareness stage consists of your launch message.

    Here are some examples of how your launch messages must look like:

    • Hi there, can I guide you in the right direction/destination? (Display your options to choose from)
    • Are you looking for assistance in sales or support? (options for Sales or Support)
    • Won’t you love to have some savings on your monthly bills? (options with a Yes, No, I prefer paying more).

    2. The Consideration Phase

    Once you complete your first stage, the next task is to break down the conversations from the options chosen above. You now need to create an individual chat flow for all the available options. Try going deeper to solve your customer’s problem.

    You can include questions like:

    • Great! When are you planning on reviewing your existing package? (Options — Right now, next month, after 6 months).
    • That sounds perfect. I’ll now get our agent into this conversation to help you better! (Let your agent handle it from here, they can probably convert your MQL into an SQL).
    • Amazing! Here’s a link to get more information on the following topic (the link). If you need any additional support feel free to come back again.
    • I hope this helped! Is there anything else you want me to assist you with? (Add a Yes or NO option).

    3. The Decision Phase

    The last and final stage is the Decision phase. The last phase of the script can have 2 endings:

    a. Either they would connect with your agent, OR

    b. They would like to know more information before progressing ahead.

    Creating a flow can help create an effective navigation channel. You can either have:

    (i) A custom landing page with free downloads, OR

    (ii) Obtain leads and nurture them through the mail.

    Here’s the list of response you can add:

    • That’s Amazing! Here’s what I’d suggest… (Landing page/Download now/CTA, etc)
    • Perfect! Please help me with your email id so I can get in touch with you. (Your response once they submit their email address, could be — Thank you, we will connect with you over mail soon!)
    • Oops! Looks like all our agents are tied up at the moment. Would you like to wait or provide us with your email so that we can get in touch with you?

    ‍Wrapping up

    If you want people to interact with your chatbot, you should write a script that makes sense and flows smoothly.

    There is no magic wand that would help you to create a perfect chatbot script overnight. So, get ready to work hard. Analyze your target audience, define common questions and answers, and outline the basic conversation scenarios. Make your chatbot more human, and you will achieve success.

    Try it out with an Engati chatbot today.

    Don’t forget to give us your 👏 !


    9 tips to write the perfect chatbot script! was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Top 10 ChatBot Development Companies in 2021

    Chatbots are becoming increasingly popular at the moment, in part because the technology is so good now that they’re often indistinguishable from human agents, especially for simpler interactions like queries about order status and delivery time.

    Let’s take a closer look at chatbot development.

    Why does your business need chatbots?

    Chatbots are great because they don’t get tired and can be active around the clock, something that’s difficult even for larger companies. They’re a sort of “set it and forget it” approach that can allow you to offer a much greater level of customer service and on a network that your customers are already using.

    The other main advantage of chatbots is that they’re almost infinitely customizable, and you can put them to all sorts of different uses. Customer service is the obvious one, but it can also be useful for information sharing of any type. Some brands are even able to build bots that are purely based on providing entertainment.

    Since you’re probably already well aware of the potential for chatbots to revolutionize your business, let’s jump on in and take a look at just a few of the top development companies on the market.

    Now that you know why you might want to use a chatbot for your business, the next step is to understand the different types of chatbots that are out there. Let’s take a look.

    AI chatbots tap into the awesome power of artificial intelligence and machine learning to create powerful bots that are almost indistinguishable from human agents. The good thing about using these technologies is that the bots can get better over time as they’re exposed to more and more inputs and outputs. These tend to be the most powerful and customizable types of chatbots.

    Top 10 ChatBot development companies in 2021

    Zfort Group

    Zfort Group is a specialist provider of innovative software that’s custom-built to solve business problems, rather than just to satisfy a brief. They’ve developed their own custom methodology that’s tailored to eighteen major industries, meaning that the chances are that they have specific experience in whatever industry you happen to work in.

    As strategists instead of mere service providers, they’re able to go above and beyond what most engineering teams can do, bolting on to your company as an extension of your own team. This is particularly important for chatbots because there are usually additional use cases above and beyond what the client has thought of.

    Founded in 2000, Zfort Group is able to bring over 20 years of experience to the table and has completed over 1,500 projects on time and on budget. They have experience working with both startups and established companies and have a track record of proven success when it comes to creating world-beating chatbots that pick up both engagement and conversions. There aren’t many companies that can compete when it comes to both technical capabilities and affordability.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    Affle Enterprise

    This Indian chatbot development company has over 180 engineers and boasts the ability to work on large-scale chatbot projects, although they might not be able to offer such a high standard of English when compared to a team consisting of English natives.

    Still, they have 15 years of experience, along with a reputation for building high-quality solutions for huge international companies like Samsung and McKinsey. They’ve also worked with SunPharma, demonstrating their ability to work in more highly regulated industries.

    BotsCrew

    The first time we came across this company, we misread their name as “Bot Screw”. Have no fear on that front though, as this crew won’t screw you over. Headquartered in Ukraine and with five years in the game since their 2016 formation, BotsCrew is a decent option when you’re looking to outsource to a company with low overheads and an affordable service.

    As the name suggests, this company specializes in artificial intelligence bot development and has experience of working with voice technologies. On the downside, they don’t have any particularly impressive clients on their books, but maybe you can be the first!

    ThirdEye Data

    When two eyes aren’t enough, ThirdEye Data can help you out. They were founded back in 2010 and are headquartered in Santa Clara, California, with around fifty employees servicing their clients across multiple different industries.

    ThirdEye is particularly worth thinking about if you work with Azure as that’s one of their specialisms, although they have experience with other languages too. Their noteworthy clients include most of the tech giants including Intel, Microsoft, Google, and Amazon.

    Katpro Technologies

    This company was founded back in 2009 and specializes in working with SMEs to bolster their in-house capabilities with app development and blockchain deployment. Their offices are in India and they’re known for their work in more regulated industries like healthcare, real estate, and the government. On top of these clients, they’ve also worked with Microsoft and Mindteck, amongst others.

    ValueCoders

    The clue is in the name, here. When you sign up with ValueCoders, you know that you’re going to save some cash and get a pretty cheap chatbot that will still get the job done. The value isn’t just in terms of the prices that they charge — they’ll also help you to offer a little extra value to your customers.

    ValueCoders has been in business in 2004 and has worked across a range of different industries including healthcare, retail and ecommerce. Major clients include Dubai Police and RiskLogic.

    Itrex Group

    This custom software company was established in 2009 and is headquartered in Belarus, with additional offices in Ukraine and the United States (Los Angeles). Their software development services cover mobile apps, websites and Internet of Things integration, with customers ranging from small businesses to big multinationals. Historic Itrex Group clients include 21st Century Fox and Warner Brothers.

    Nybble Group

    When a big bite is too much, how about a Nybble? This Miami-based tech company does a little bit of everything, including chatbots. They were founded in 2005 and have experience working with AI, which is good news if you’re looking to create an AI or hybrid bot.

    Of course, the fact that they’re based in Miami means that they’re not going to come cheap, but it’s a case of getting what you pay for and with former clients like British American Tobacco, Coca Cola and Budweiser, you know that there’s a precedent for high-quality work.

    PixelPlex

    PixelPlex is a New York City-based blockchain and mobile app development company with experience building chatbots for clients like BMW, Microsoft and Oracle. As well as their American offices, PixelPlex also has offices in Amsterdam and Minsk, with just over fifty employees servicing a range of international clients. They were founded in 2007 and mostly work with enterprises in the financial services industry.

    Celadon

    Based in Dubai and with offices in Belarus, Celadon was founded in 2012 and has rapidly grown to a team of 70+ developers covering chatbots, custom software and web and mobile apps. In contrast to PixelPlex, the previous entry on this list, they focus on SMEs and typically work across business services, education, healthcare and medical industries. Their most notable client is HP.

    Why Hire Zfort Group

    Compared to the competition, Zfort Group just makes sense because they’re highly skilled and affordable with a solid reputation for building world-beating chatbots across a variety of industries. They work with companies of all shapes and sizes and will happily take on custom builds with unique operating requirements.

    So if you’re in the market for a chatbot build but you don’t know where to turn, consider giving Zfort Group a try. Get in touch with them today to find out more about how they can help you to take on the competition.

    AI Development Services

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    Top 10 ChatBot Development Companies in 2021 was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • Can You Teach Common Sense?

    The Limits of AI

    photo by Jose Aljovin , courtesy of Unsplash

    One of the most important goals of any chatbot is to seamlessly behave as a real human. Today, we can see how many artificial intelligence applications accomplish this in a range of different scenarios. From diagnosing medical conditions, to enhancing the customer service experience, and even producing art, AI might seem unstoppable.

    However, one particularly frustrating hurdle chatbots continue to face is common sense. “Common sense” can be defined as a large pool of background information in regards to how the world works. As people, we do not explicitly learn common sense in school, but rather by living and experiencing different events and circumstances as we grow up.

    Unfortunately, developers cannot program the “gut feelings” that we humans use to help us make decisions. While neural networks can train bots to behave in certain ways based off of different scenarios, they simply fail to manufacture the ability to infer what decision to make based on subtle, basic information.

    One example of this flaw is witnessed by the deep learning network GPT-2.

    In October 2020, GPT-2 was posed this prompt:

    What happens when you stack kindling and logs in a fireplace and then drop some matches is that you typically start a …

    GPT-2’s response? “Ick.” On another try, GPT-2 responded that the fireplace would cause an “irc channel full of people.”

    For any real human like you or I, we can easily recognize that kindling, logs, an matches will create “fire.”

    For context, GPT-2 isn’t just any neural network. GPT-2 is considered an extremely advanced program, being able to generate entire paragraphs about a given topic when provided with just a sentence of prompting.

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

    2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    GPT-2 failed to come up with “fire” as the correct response to this prompt because it essentially required the bot to read between the lines of the question and apply implicit information.

    This is why common sense is sometimes referred to as dark matter in the realm of artificial intelligence. When creating a bot, we explicitly train it using all the rules and examples they will encounter to fulfill its specific task. But, common sense is open ended.

    One attempt to conquer the common sense dilemma was by interpreting common sense as a database of millions of different rules. Each rule would describe a different way that the bot or the environment would act in a given situation.

    In 1984, a project called Cyc set out to construct such a database. However, it was realized that this technique quickly ran into several different problems in practice.

    For example, consider a rule that declares: If a person goes outside when it’s raining, they will get wet. If you take just a few seconds to think about this statement, you will realize that there are many exceptions to the rule. If a person wears protective clothing or stands underneath an umbrella, then this statement becomes void.

    Even if these exceptions were detailed to a bot, there are further rules that dictate when and how those exceptions work. For example, the bot would need to consider the angle and intensity of the rain along with the texture of the protective clothing. If the person stood underneath an object, the relative position of the object and its width would also be important factors.

    Beyond the complexity of every rule, the sheer number of rules is too much to tediously handcraft one at a time. With Cyc, more than 1000 human-years were spent on the project.

    Another approach uses deep learning AI systems that are meant to imitate the layers of neurons in human brains. The idea is to allow a bot to learn patterns without requiring the developers to specify the rules in advance. We can see similar applications of this type of pattern recognition in self-driving cars or powerful chess playing bots.

    A newer approach incorporates elements of this concept and the Cyc approach, forming the ultimate COMET project. COMET, short for “commonsense transformers”, defines common sense thinking as a way to use reason to create responses to an input. This contrasts with Cyc’s mechanics of making the “perfect” deduction with the help of an enormous database.

    COMET’s results show drastic progress. Between these two approaches, about 80% of COMET’s responses were found plausible by a group of human evaluators. That’s less than 10% away from expected human performance.

    Still, the apparent flaw in deep learning methods is that numbers, rules, and statistics are not the same as true understanding. In short, a neural network won’t ever comprehend that matches and logs will start a fire or that rain makes people wet. Still, some bots can do a pretty good job of convincing you that they can.

    “New Test Reveals AI Still Lacks Common Sense.” ScienceDaily, University of Southern California, 18 Nov. 2020, www.sciencedaily.com/releases/2020/11/201118141702.htm.

    Pavlus, John. “Common Sense Comes Closer to Computers.” Quanta Magazine, Quanta Magazine, 30 Apr. 2020, www.quantamagazine.org/common-sense-comes-to-computers-20200430/.

    Stiefel, Michael. “Is Artificial Intelligence Closer to Common Sense?” InfoQ, InfoQ, 19 Oct. 2020, www.infoq.com/articles/AI-Closer-Common-Sense/.

    Toews, Rob. “What Artificial Intelligence Still Can’t Do.” Forbes, Forbes Magazine, 1 June 2021, www.forbes.com/sites/robtoews/2021/06/01/what-artificial-intelligence-still-cant-do/?sh=756563ae66f6.

    Don’t forget to give us your 👏 !


    Can You Teach Common Sense? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • [Question] Google chat bot

    Is there any tutorial on creating a complete chatbot (like end to end) on Google chat ?

    submitted by /u/RstarPhoneix
    [link] [comments]

  • The 6 types of chatbots — Which one do you need?

    The 6 types of chatbots — Which one do you need?

    A chatbot on an eCommerce website would be totally unlike the one for Banking. Just how we contrast in our personality and talents, the same goes for chatbots in their appearance and activities!

    In this blog, we’ll be touching upon what are the different types of AI chatbots, the different types of business chatbots, and their applications and their functionalities. This will give you a clear understanding as to how many types of chatbots are there and what would be the ideal chatbot type for your business!

    Here are the types of chatbots

    1. Menu/button-based chatbots

    Menu/button-based chatbots are the most basic type of chatbots currently implemented in the market today. In most cases, these chatbots are glorified decision tree hierarchies presented to the user in the form of buttons. Similar to the automated phone menus we all interact with on almost a daily basis, these chatbots require the user to make several selections to dig deeper towards the ultimate answer.

    While these chatbots are sufficient for answering FAQs that make up 80% of support queries; they fall well short in more advanced scenarios in which there are too many variables or too much knowledge at play to predict how users should get to specific answers with confidence. It’s also worth noting that menu/button-based chatbots are the slowest in terms of getting the user to their desired value.‍

    2. Linguistic Based (Rule-Based Chatbots)

    If you can predict the types of questions your customers may ask, a linguistic chatbot might be the solution for you. Linguistic or rules-based chatbots create conversational flows using if/then logic. First, you have to define the language conditions of your chatbots. Conditions can be created to assess the words, the order of the words, synonyms, and more. If the incoming query matches the conditions defined by your chatbot, your customers can receive the appropriate help in no time.

    However, it’s your job to ensure that each permutation and combination of each question is defined, otherwise, the chatbot will not understand your customer’s input. This is why a linguistic model, while incredibly common, can be slow to develop. These chatbots demand rigidity and specificity.‍

    3. Keyword recognition-based chatbots

    Unlike menu-based chatbots, keyword recognition-based chatbots can listen to what users type and respond appropriately. These chatbots utilize customizable keywords and an AI application — Natural Language Processing (NLP) to determine how to serve an appropriate response to the user.

    These types of chatbots fall short when they have to answer a lot of similar questions. The chatbots will start to slip when there are keyword redundancies between several related questions.

    It is quite popular to see chatbots that are a hybrid of keyword recognition-based and menu/button-based. These chatbots provide users with the choice to try to ask their questions directly or use the chatbot’s menu buttons if the keyword recognition functionality is yielding poor results or the user requires some guidance to find their answer.‍

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

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    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    4. Machine Learning chatbots

    Ever wondered what is a contextual chatbot? A contextual chatbot is by far the most advanced of the three bots discussed previously. These types of chatbots utilize Machine Learning (ML) and Artificial Intelligence (AI) to remember conversations with specific users to learn and grow over time. Unlike keyword recognition-based chatbots, contextual chatbots are smart enough to self-improve based on what users are asking for and how they are asking it.

    For example, a contextual chatbot that allows users to order food, the chatbot will store the data from each conversation and learn what the user likes to order. The result is that eventually when a user chats with this chatbot, it will remember their most common order, their delivery address, and their payment information and merely ask if they’d like to repeat this order. Instead of having to respond to several questions the user just has to answer with ‘Yes’ and the food is ready!

    While this food ordering example is elementary, it is easy to see just how powerful conversation context can be when harnessed with AI and ML. The ultimate goal of any chatbot should be to provide an improved user experience over the alternative of the status quo. Leveraging conversation context is one of the best ways to shorten processes like these via a chatbot.‍

    5. The hybrid model

    Businesses love the sophistication of AI-chatbots, but don’t always have the talents or the large volumes of data to support them. So, they opt for the hybrid model. The hybrid model offers the best of both words- the simplicity of the rules-based chatbots, with the complexity of the AI-bots.‍

    6. Voice bots

    To make conversational interfaces even more vernacular, businesses are now beginning to use voice-based chatbots or voice bots. Voice bots have been on the rise for the last couple of years, with Apple’s Siri, to Amazon’s Alexa, and why? Because of the convenience they bring. It’s much easier for a customer to speak rather than type. Voice bots bring frictionless experiences directly to the customer.

    So, which type of chatbot is right for you?

    While deciding if a chatbot is right for you, place yourself in the shoes of your users and think about the value they’re trying to receive. Is conversational context going to significantly impact this value? If not, then it is probably not worth the time and resources to implement at the moment.

    Another thing to consider is your target user base and their UX preferences. Some users may prefer to have the chatbot guide them with visual menu buttons rather than an open-ended experience where they’re required to ask the chatbot questions directly. All the more reason to have users extensively test your chatbot before you fully commit and push it live.

    The right chatbot is the one that best fits the value proposition you’re trying to convey to your users. In some cases, that could require enterprise-level AI capabilities; however, in other instances, simple menu buttons may be the perfect solution.

    ‍What are some applications of Chatbots?

    1. Appointment scheduling or Booking bots

    Appointment scheduling or booking bots are the kinds of bots you usually find in the Healthcare, airline, and Hotel industries. These bots help customers book slots for appointments with the enterprise they communicate with.

    Appointment bots are often linked to Google calendar, so when a customer books an appointment with you, it automatically gets stored in the calendar, creates an event, and sends reminders to both the customer and the business representative. The HR team also uses HR chatbots to schedule interviews for recruitment purposes.

    Phia — An intelligent HR chatbot for appointment scheduling

    ‍So if you have a business that requires a lot of booking and scheduling, this bot serves the purpose! Some of the types of chatbots under this category are-

    • HR Bot for scheduling meetings and interviews
    • Healthcare Bot for booking appointments
    • Travel Bot for flight bookings
    • Number of active users
    • Hotel Booking Bot to book rooms and services
    • Number of active users
    Global Village’s chatbot for tourism

    Global Village’s chatbot for tourism

    • Appointment Slot Booking can be integrated with any type of business
    • Cinema Bot to book movie tickets
    • Service Bots for automotive businesses
    • And so on…

    2. Customer support chatbots

    This must be the most popular use-case of chatbots! When someone says the word ‘chatbot’, the first thing to pop up in our mind is that one time we spoke to a chatbot for customer care. These types of chatbots perform all tasks a customer support representative would do. And it does them real good!‍

    Poppy’s chatbot for retail engagement

    ‍Features such as 24/7 hour availability, quick and easy solutions, instant replies, and live chat facilities make chatbots the ideal tool to improve customer service. It not only improves communication between businesses and clients but also builds a rapport with them to earn customer loyalty. They also gather customer feedback and send it to your team so that you can work on the shortcomings.

    They allow your customers to easily interact with your business through stimulating conversations and also play their part in increasing sales.

    Some of the bot templates under this type of chatbots are-

    • Retail Support Bot
      To handle queries related to your retail product line. It’s also used to sell products directly
    • Telecom Bot
      To provide customers the convenience of checking their bill, make a payment, recharge plan, change plan, change number etc directly through the bot. It also procures any customer queries related to your service
    • Techdesk Bot
      To helps employees connect to the internal technical support team for issues related to the system and access to services/Applications. The bot is also used to send confirmation to the customer through email.
    • Banking Bot
      Caters to your banking needs in an interactive manner. It provides account related information, ongoing offers, helps you get an update on your checkbook, and also takes you to travel booking facilities
    • Orders, deliveries, and logistics Bot
      Order issues help handle issues with food delivery orders
    Bandhan bank’s service desk chatbot

    ‍3. Marketing and sales chatbots

    Marketing and sales are the next most popular use-case of chatbots after customer support. So these intelligent bots are able to personalize the customer experience, have a larger engagement capacity, reach a wider audience, analyze customer feedback and data, sends relevant notifications, and moves customers seamlessly through the sales funnel.

    Podar Education chatbot to engage parents
    • eCommerce bot
      Browse through products directly from your chatbot. You can send your customers images through carousels and link your website for purchases
    • Education-course bot
      This bot allows prospective students to browse through various course offerings by an educational institution. The chatbot also provides details on course fees, duration, and admission mode per course
    • Automotive Lead Generation bot
      Allows customers to get details on cars, features, prices, etc, along with booking service
    • Real Estate bot
      Collect requirements from your customers on what they are looking for
    • Quiz bot for market research
      Generates a quiz around the market research. It comes with attractive wallpaper and button color customizations. Saves the answers provided by the user, calculates their score, and also sends an email to the user letting them know their score
    • Social media marketing bot
      A lead generation chatbot template for social media marketing agencies. Which notify the admin whenever a new lead is generated
    • Lead generation
      Google helps you take user information and save it in google sheets. So the prospects that are already on your product have strong leads. So this bot will help you store that information which can be used to market products to these customers or provide support to convert these leads
    • Lead generation with Salesforce
      Helps you take user information and save it in Salesforce. Prospects already on your product are strong leads this bot will help you store that information which can be used to market products to these customers or provide customer support to convert these leads

    4. Entertainment bots

    Entertainment bots are made for entertainment and media purposes. These bots include-

    • The tv show guide
      A simple yet powerful chatbot to help track channels as per category for a service provider
    • The go-karting bot
      The ideal chatbot template for booking go-karting services. The bot also shows some information about tracks and karts
    • Quiz bot
      Serves a quickfire round of questions to those interested in a little harmless fun dose of quiz questions. It ends with giving a quick score based on the correct answers
    • Riddle bot
      To engage your customers through games to keep them coming back to your website
    • News and media bot
      To help users access news from different categories. So the bot flow leads the user to news categories where they can select the desired category to access news and can also subscribe to a category
    • Cinema bot
      Lets your customer’s book movie tickets, read reviews, browse through different genres
    • The entertainment factor
      A bot that assists users with everything at their favorite getaway location. Adding ease to their fun!
    • Youtube channel bot
      Deploy a chatbot using this template anywhere to use it as your new social media channel to share your youtube content
    • The podcast bot
      Helps the user learn about the universe with the help of podcasts or become a VIP member to get updates!

    These are just to name a few among the wide range of templates we offer! Register with Engati to build an ideal chatbot for your business and browse through 200 bot templates in the Bot Marketplace that caters to every business need of yours.

    Also, to gain a little more insight on chatbot technology, read up on some of these blogs!

    Happy Botting!

    Don’t forget to give us your 👏 !


    The 6 types of chatbots — Which one do you need? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • 6 Cool Tips for Branding Shopify Chatbot

    A name plays a major role in the success of a thing, whether you are naming your newborn baby or a chatbot for your e-commerce store. The name has to be relevant to the subject and the purpose of its activities and it should also align with your Shopify Branding. There are many factors to consider when someone wants to introduce a chatbot to his/her online customers.

    The kind of store, the products you sell, and the target demographic are a few of the factors that play a major role in determining the name of your very own bot.

    1. What is your industry?

    Whether you are birthing a real baby or launching a chatbot on your site, you must choose the right name. If you were to name your daughter Bill, would it work? Absolutely not!

    So, you are trying to come up with a catchy name for your chatbot and as well for branding your Shopify store. Ask yourself a few questions. What kind of functions does your chatbot perform? Is it supportive, informative, transactional or does it provide recommendations? Keeping the function in mind, you may choose the name of a human, robot, or give a clever twist to it.

    • A human name, like Cindy or Evelyn. These types of bot names are often a good choice for enterprises. They could be used as chatbots for banking, taxes, medical, or law. They offer a bit more formality and don’t distract from the purpose.
    • A robot name, like iBolt or Alpha. Such names like these make it clear that the user is chatting with a bot rather than a human. Hence it helps avoid any confusion. You might consider a robot name if you’re in the tech industry.
    • A descriptive name, like “Calorie-TrackBot”, helps users develop healthy eating habits. A chatbot name such as “Book Club Bot” for one that offers book recommendations. The advantage of such a naming style is that the user already understands the purpose of the bot before engaging in an interaction with it. Although these names aren’t always quite as personable or approachable, the clarity they offer serves the purpose, and serves it well!
    • A clever name, like Penny for a personal finance advice chatbot, or Pam for a bot that provides prayer and meditation tips. Such a type of chatbot name is best for enterprises in industries such as travel, fitness, food, or beauty. It reflects a more casual, fun, and witty style. A clever name will also ensure that your chatbot stands out, and is likely to endear users to your brand and topic rather easily.
    How to turn Shopify Store Visits into $$$$

    2. What is your bot’s personality?

    Chatbots are highly customizable, but you can only have a few options when giving it the right name. As humans, we tend to give inanimate objects names. We base these names on certain characteristics that we see in them. Since website visitors and customers will find a personality in your chatbot anyway, you should give it a good descriptive name.

    Giving your chatbot a character will make it more pleasant for customers and visitors to speak to. The lack of personality will make your bot boring and less engaging. If you have already assigned the bot a role and have developed its tone and speech, you will be familiar with the way your bot interacts. So, if your bot is assisting visitors at a shopping site, then a shopping assistant like Cynthia would be a good name.

    Say, you have a spectacle and eye lens store on Shopify, then you could very well name your chatbot IRIS. So, are you getting the hang of naming your chatbot based on what you sell? another fun way in branding your Shopify store.

    3. What does your chatbot do?

    Another effective way to name your bot is by assigning its name based on the service it offers. So, what does your bot actually do? What is its purpose? What does it help its users do?

    For example, TranslateBot could be a good name for a chatbot that automatically translates the content you send to it. On the other hand, Fitness Guru is a suitable name for a bot that keeps you motivated at staying fit. It would work for official websites of gymnasiums, trust me?

    Trending Bot Articles:

    1. How Conversational AI can Automate Customer Service

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    3. Chatbots As Medical Assistants In COVID-19 Pandemic

    4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

    4. Avoid brand names

    Avoid getting too specific with your choice of bot names else it will hurt your Shopify store branding. Here’s what you should never do. Never give your bot the name of a brand. So, if you have a denim online store named John England, please refrain from giving your bot a name like JohnEngland Bot. It clearly lacks inspiration. Moreover, it is clearly out of the question if you try to use a brand name you do not own unless you want to get sued.

    Example (of what not to do): BotteryBarn for a bot that assists you in finding home furniture. It is a play on a reputed furnishing brand called Pottery Barn.

    5. Avoid being too descriptive

    Now, I know it may seem like I am contradicting my previous to last point, but this is important. Nothing seems more boring to a visitor than a super-descriptive chatbot name. It is useful to use what your chatbot does as a starting point. However, just don’t make that the chatbot name, c’mon!

    Example (of what not to do): Shopping assistant bot, a bot that assists customers while shopping. The only thing you might get from your visitors is a big yawn.

    Generating traffic and expanding the reach of your shopping site depends on whether you can get the pulse of the customer or not. Practically everyone has a hard time every once in a while. Some kids might have fared poorly in a test, or a woman might have had a hard day at work. In such a scenario, adding a bit of humor to their day during the time they visit your site will create a lasting impact on your shopping site traffic. It is because everyone likes to feel good, and what is even better is feeling great while shopping.

    At Quickreply.ai, we believe that the aim is to have fun with naming our chatbots (unless your bot is something super serious like a lawyer site, medical or tax-related). Most of your users will have their very first chatbot experience with your online store. Hence, we make their experience enjoyable and helps you branding your Shopify store.

    Start for FREE today and present the creative side of your business right in front of your customers.

    Don’t forget to give us your 👏 !


    6 Cool 😎 Tips for Branding Shopify Chatbot was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.