Month: May 2021

  • Don’t Overlook this Simple Retention Tactic: Put Today’s and Tomorrow’s Customers in Need of Auto…

    Don’t Overlook this Simple Retention Tactic: Put Today’s and Tomorrow’s Customers in Need of Auto Repair and Service in the Driver’s Seat

    Overlooking a Simple Retention Tactic

    Sending out service reminders via e-mail or text, making follow-up calls, mailing postcards, scheduling next visits at the time of car delivery — there are many tactics automotive service-repair businesses can use to retain customers. But one simple tactic is often overlooked: empowerment.

    The customers of today, and tomorrow, live in a digital world where they’re empowered by fast access to information. And they make quick buying decisions based on that information. For example, think about the last time you searched for a product or service on a major retailer’s website and made a buying decision quickly based on the information that was presented to you.

    The New Digital Shopping Experience

    This shopping experience has become the new normal as the pandemic has drastically expanded the range of digital consumers far beyond millennials and Gen Z. All generations are now confirmed online shoppers.

    So, what does this mean for automotive service-repair businesses?

    In order to retain the customers of today and tomorrow, automotive service-repair facilities should be offering them the online shopping experience they’ve come to expect. For starters, that means communicating with customers in the ways they’re most comfortable with on their own timetable.

    Text messaging has become universally popular because it’s quick and convenient, providing consumers added control over their time. It’s also, in part, what makes digital engagement tools like Openbay Otis so uniquely powerful.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    Otis serves as a virtual service advisor that appears on a shop’s website as a smiling icon that says, “Hi. Need help? We’re online now if you have questions.” Visitors type in a question or select from a menu of options. Otis — which is powered by artificial intelligence, or AI — then engages visitors in a text-style conversation.

    It’s similar to the way Amazon Alexa, Apple Siri or Google Assistant provide quick answers to commonly asked questions.

    Otis can deliver price estimates for mechanical service and repair nearly instantly and book an appointment, too. Otis also has a full tire catalog that will generate tire options, pricing and installation fees based on vehicle year, make and model (and tire size too).

    Roughly 35% of Otis conversations take place outside normal business hours. Otis gathers and records all information from each conversation. If necessary, service advisors can then follow up using the visitor’s preferred method of communication — a phone call, text or e-mail.

    Otis eliminates the need for site visitors to navigate a shop’s website, search through menus or fill out forms as they look for answers to their questions. Instead, they’re able to get the information they want when they want it and how they want it. In other words, putting them in the driver’s seat.

    Have Otis greet and Start a Conversation with your Website visitors

    Otis installs on your website in minutes and it’s easy to use.

    Retaining customers starts with time-honored essentials: solid mechanical service using quality parts, good value, a comfortable experience, great communication and a personal touch. And businesses that are able to level up by allowing customers to drive their own experience — using automated digital engagement tools like Otis, for example — are poised to earn more customer loyalty now and into the future.

    To discover how Openbay Otis, the intelligent, automated chat and messaging platform can boost customer retention and new customer acquisition, contact Openbay today.

    Don’t forget to give us your 👏 !


    Don’t Overlook this Simple Retention Tactic: Put Today’s and Tomorrow’s Customers in Need of Auto… was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • How to Add a Telegram Bot to Telegram Group

    Want to add your Telegram Chatbot to a Telegram group and automatically reply to message in your group?

    Great!

    I’ve made a tutorial in which I show you:

    • How to add a Telegram chatbot to your Telegram group
    • How the chatbot can only reply when you mention it
    • How the chatbot can respond to all messages in the group

    Check it out here: https://chatimize.com/telegram-bot-group/

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

  • Speech Recognition: How You Can Talk to Your Chatbot

    The ability to audio communicate with a chatbot is due to a technology called Speech Recognition, and this is what we will talk about in this article.

    If you were curious and want to know how this feature benefits chatbots, read on!

    What is Speech Recognition?

    There was a time when having robots help you with certain tasks was just something out of a movie. Yet, faster than we thought, chatbots appeared. And after a while, those same chatbots evolved and started talking to us and us with them.

    Speech Recognition is a branch of Computer Science and Computational Linguistics. It’s a field that develops methodologies that allow computers to translate speech inputs into written text.

    In addition to Speech Recognition, this technology is also known as Speech Recognition, ASR (Automatic Speech Recognition), Computer Speech Recognition, or Speech to Text (STT).

    How does Speech Recognition work?

    As the name implies, this technology allows recognizing the user’s voice commands and their conversion into text to be processed by the system.

    There are two types of Speech Recognition:

    1. Speaker-dependent

    These are speech recognition systems that require training. In this training, a speaker reads texts or just loose vocabulary to feed the computer’s knowledge base.

    This type of Voice Recognition is more accurate since it analyzes the person’s voice in question and tunes the system to recognize that particular voice.

    2. Speaker-independent

    On the other hand, these speech recognition systems do not require training. They do not recognize specific voices but analyze and translate into text what has been said.

    An example of the use of this software occurs in telephone applications.

    The Correlation between Speech Recognition and Artificial Intelligence

    Artificial Intelligence or AI is the science that enables a machine to perform tasks, once performed by humans, and to mimic their reasoning process. In other words, it provides, so to speak, some level of intelligence to a system.

    AI is currently used in many different areas, and depending on the technologies implemented, the software can perform certain actions.

    Sometimes confused, AI and Machine Learning (ML) are distinct yet related concepts. Simply put, Machine Learning is a branch of Artificial Intelligence and is the technology that allows a machine to learn without the need for human intervention.

    For a system to learn, it needs to be fed large volumes of data to recognize patterns and thus characterize them.

    Speech Recognition and AI are intertwined by learning processes and data processing.

    As we mentioned earlier, Speech Recognition software needs large volumes of inputs to provide the best possible performance. That’s where AI comes in with the automation of these processes.

    In addition, there is also NLP (Natural Language Processing), another branch of AI, which enables the processing of human languages. For example, English, Portuguese, Spanish, etc.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    Chatbots vs. Voice bots

    Chatbots are possibly one of the most accessible ways to see Artificial Intelligence in action.

    These conversational agents use areas of AI, namely ML and NLP, to communicate with humans.

    Through these technologies, they can understand and extract the information given to them by written messages and respond.

    Chatbots are service automation solutions often found in various digital communication channels, such as company websites, WhatsApp, Facebook Messenger, etc.

    Learn here how digital channels can transform your communication with your customers!

    On the other hand, there are voice bots or, more often known as virtual assistants.

    These, just like chatbots, have the goal of automating certain processes but with a more personal role.

    They work as a kind of personal assistant that responds to voice inputs. The most common examples are Siri and Alexa. But every day, more companies launch their own voice bots.

    So, to summarize, companies mostly use chatbots to automate their services (internal or customer support), and their inputs and outputs are written messages. As the name might suggest, voice bots only receive voice commands and respond in the same way. Moreover, they have a more individual support role.

    Speech Recognition: The Ears of Your Chatbot

    Knowing the difference between chatbots and voice bots, it’s also possible to add a third option involving both solutions — speech recognition chatbots or voice chatbots.

    As we mentioned earlier, Speech Recognition technology is what allows a system to convert voice commands and translate them into text.

    Once translated, that information goes through the same processing that a written text message would have in a “normal” chatbot.

    Just like giving OCR the ability to read the text contained in images, you can also give your chatbot the ability to listen.

    If you were curious about what OCR is, you might be interested in the following article: OCR: Give Eyes to Your Chatbot.

    The Benefits of Speech Recognition Chatbots

    Users are becoming more and more interested and demanding regarding these technological solutions.

    If it’s to be as similar to human dialogues, then both chatbots and voice chatbots have to meet the demands and characteristics of those same conversations.

    Eliminating waiting time, getting answers that correctly answer our questions are two examples of what your customers expect. Be it by message or by voice.

    Nobody likes to be talking and get an answer that has nothing to do with the topic. In such cases, you might as well send the user to human assistants via Live Chat.

    Learn more about the advantages of having a chatbot and Live Chat here!

    A chatbot already brings many advantages to your company, such as:

    • 24/7 service
    • Decreased response time
    • Automation of repetitive processes
    • A way of capturing commercial leads
    • Increased satisfaction of customers and their teams
    • Means of supporting customers and/or employees

    Still, between writing and speaking, no doubt speaking is much more natural for a human being. For this reason, the inclusion of voice commands takes your chatbot to another level.

    A voice chatbot gives you the following benefits:

    1) Provides more “human-like” interactions

    As we already mentioned, speech is much more natural than writing. For this reason, you get communications that are more spontaneous and not as thought out, as is the case with written messages.

    This spontaneity is very useful for your chatbot, as it increases its knowledge base and improves its AI with the various commands it receives.

    2) Improves user experience

    Companies are very concerned about the usability and user experience on their website and communication channels.

    If a chatbot already greatly improved the user experience when navigating to your website, having the ability to talk to the chatbot improves it even more.

    3) Enables multitasking

    Also related to the consumer experience, the voice option allows the consumer to do other tasks while asking your chatbot for information.

    This factor, as well as the others, greatly increases customer satisfaction in that they don’t have to stop doing what they are doing to communicate with the bot.

    4) More inclusive solution

    Despite being an almost non-existent factor (thankfully!), there are still illiterate people who, for some reason, have not learned to write.

    Other than that, there are people with motor disabilities that do not allow them to use keyboards or other types of tactile devices.

    Voice can be the ideal solution to include and show that all your customers are taken into consideration.

    Visor.ai Voice Chatbots

    Visor.ai chatbots are a great option to enhance your Customer Support or internal employee support services.

    Our solutions rely on in-house developed NLP and Machine Learning to meet our requirements and our customers’ needs.

    This way, we make sure that our customers get the results they want and, if changes are needed, we don’t have to rely on third parties.

    Besides being quick-to-implement solutions, they’re easily adaptable with any integration the customer wants, including voice functionality.

    Learn more about how to include these spectacular solutions in your digital communication channels… Contact us!

    Don’t forget to give us your 👏 !


    Speech Recognition: How You Can Talk to Your Chatbot was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • How Can Chatbots Boost Your Company’s Digital Transformation

    As the world becomes more digital, businesses must keep up with this evolution and adapt to new technologies. To do this, various industries need to invest in digital transformation. And one simple way to drive this transformation is through chatbots.

    Keep reading this article to learn more about digital transformation, how a chatbot can be a great tool to improve your services and increase your customers’ satisfaction and experience.

    What is Digital Transformation?

    Surely, you have heard of digital transformation.

    This concept is related to companies that want to reach further and stand out from the competition.

    The world is a place where communication and globalization are increasingly emphasized while at the same time making a certain topic known.

    But what exactly is digital transformation? — you ask.

    Well, digital transformation, as the name might imply, is the adaptation of an entity (company) to new technological trends, thus becoming more digital and innovative.

    The integration of new technologies totally changes the way products/services are offered to consumers, which they highly value.

    Users are more demanding and losing interest in companies that do not keep up with the times.

    The updating and investment in innovative solutions are fundamental to have global satisfaction, both from customers and employees.

    Which areas should you transform digitally?

    Digital transformation cannot occur in just a certain part of a company.

    Have you seen what it would be like if half your employees benefited from the perks of new technology and half didn’t? Or that customer service was all revamped, but on the other hand, you had your employees in less advantageous situations?

    That wouldn’t be good, right? Then the answer is simple. Do a general upgrade, even if it’s in phases. But don’t leave anyone out.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    Internally

    As we have already mentioned, you must make your employees happy in addition to your customers.

    Improving the quality of work of your employees is crucial. So invest in solutions that improve their performance. Namely, machines that perform the most physically demanding tasks, for example.

    In retail companies, for example, try to upgrade the production lines for your products.

    Externally (Customer Support)

    Your customers expect you to always be on top of the latest trends, both in products and service.

    No one has time to wait around anymore. People want to be attended to immediately. And if not, they will turn to other solutions.

    Besides, if they can solve their problems themselves, without having to talk to someone else, all the better.

    Self-service is a trend that will not disappear any time soon, and any service will use it.

    Digital Transformation with Artificial Intelligence

    Today, any company that wants to offer a higher level of service turns to Artificial Intelligence.

    Artificial Intelligence is the field of Computer Science that enables machines to simulate reasoning and perform human activities.

    According to Andrew Ng, AI is the new electricity. By this, the computer scientist and professor at Stanford means that it’s as important to the present day as electricity was when it was discovered.

    It’s a matter the world can no longer live without and is indispensable to its progress and evolution.

    Online shopping and advertising

    Strategies with AI used in retail are exciting, as they allow brands to offer a more personalized service to each customer.

    Web Searches

    It’s already known that only the best blog posts/articles appear in the first positions in search engines. But how do we know which are the best?

    This work is done by AI bots that automatically check all sites to deliver the best results.

    AI can be a good strategy when the topic is SEO (your website’s performance in search engines). Learn more here! Automatic Translations

    It may be one of the most used services in the world. Instantly, it has the translation from one language to another, with a very high degree of correctness.

    At first, programs like Google Translate had their limitations and were not very efficient. But as their knowledge bases grow and they have a greater volume of data to analyze, they become more and more correct.

    NLP is a technology used for machine translations. Learn more about this branch of AI here! Cyber Security

    AI-powered systems can help recognize and counter threats to systems by recognizing patterns and mapping attacks.

    Combating Misinformation

    Just like the previous point, to combat disinformation, we can use AI. That is, nowadays, anything can go viral. This can be great for spreading information, except when it’s incorrect and baseless.

    The role of Artificial Intelligence, in this regard, is to prevent and combat false information from spreading.

    In a way, this use of AI was driven by the coronavirus pandemic, where anyone had their theories about the cure and prevention methods.

    Virtual Agents

    Probably the best-known use is virtual agents or chatbots.

    These systems are process optimization and automation solutions that are more and more implemented in companies with large contact volumes.

    Digital Transformation with Chatbots

    Chatbots, being virtual agents, help optimize your company’s services, both internally and with the customer.

    The implementation of more digital solutions enhances growth and increases the satisfaction of your customers and employees.

    1) Customer Service

    Investing in automation solutions such as chatbots is a key step if you want your institution to stand out from the rest, especially in customer service.

    One of the most frequent complaints from consumers is the time they wait to be attended to.

    So, if the waiting time is a factor to be taken into account and you suffer from this problem, maybe investing in a chatbot is not unreasonable.

    Instead of keeping the user waiting, let them deal with their problems by themselves, and only if they can’t solve them, refer them to a human assistant.

    Many of the questions received by contact centers are repetitive and easy to solve. That said, there is nothing like a chatbot programmed and trained to answer your customers’ most frequently asked questions.

    2) Sales Support

    In addition to customer support, a chatbot can be an essential solution to help you in pre and post-sales.

    In pre-sales, it can help educate your prospects about your brand or make suggestions for services and products that complement what they are purchasing.

    On the other hand, it can be an option for problem-solving in the post-sale, such as complaints or other situations.

    3) Lead Generation

    A virtual agent is also a great marketing tool. Especially in the world we live in today, where social networks and digital channels are some of the biggest means of expansion and propagation of brands.

    Implementing a chatbot on the digital channels your customers use the most or your persona is on is a great strategy to expand. And, at the same time, start creating a connection with your target audience.

    For example, program your chatbot to greet and introduce your product to people who pass through your channels.

    Learn about the benefits of adopting various digital communication channels here.

    4) Collecting Analytics

    One of the most interesting features of a chatbot is the metrics collection.

    With these communicational agents, in addition to assisting your customers, they can gather information about them, namely demographic data, the product they are most interested in, etc.

    5) Internal Relationship

    Besides customer service, you can also implement a chatbot internally. That is, for employee support.

    This implementation can increase the satisfaction level of your team and, simultaneously, create and maintain greater proximity between employees and the company.

    Articles you might be interested in:

    Visor.ai Helps You with Your Company’s Digital Transformation

    Visor.ai offers solutions for chat and email automation. Both use Artificial Intelligence.

    Visor.ai’s chatbots and email bots are easy and fast to implement. They come with a low-code platform, where you can customize and edit your bots autonomously.

    Because they are cloud-based solutions, we can implement them remotely into the platforms you already use-namely, CRM systems such as Salesforce, etc.

    Besides, Visor.ai follows all privacy policies, ensuring the security and privacy of your company’s and your users’ data. It also offers the possibility of VPC (Virtual Private Cloud).

    To learn more about the VPC offer and its benefits, click here.

    If your goal is to make your company more technologically advanced, talk to us and you will see how easy it is to stand out from the competition!

    Don’t forget to give us your 👏 !


    How Can Chatbots Boost Your Company’s Digital Transformation was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • RPA and Chatbots: The Most Incredible Combination

    Because they are related to automation, people may think that RPA and chatbots are the same thing, but they are not. In this article, we clear up all the doubts about what they are, what each one does, their differences, and some use cases.

    Automation with Artificial Intelligence

    Humans have long tried to find ways to automate repetitive processes that become monotonous.

    More than ever, process automation is crucial to the evolution of industries.

    Utilities, manufacturing, energy, finance, healthcare, and most industries have already adopted some form of automation, and it is towards a more automated world that we are moving.

    An area closely associated with automation is Artificial Intelligence (AI). This gives machines the ability to perform tasks that humans once performed. In addition, it allows us to simulate some of our reasoning.

    What is RPA?

    RPA stands for Robotic Process Automation. It’s an Artificial Intelligence technology that, as the name implies, uses software robots to automate certain tasks.

    RPA is one of the most popular AI tools, as it allows companies with older systems to optimize workflows and reduce costs.

    How do RPAs work?

    As we already mentioned, RPA robots take charge of repetitive digital tasks, such as filling out forms or copying and pasting information. To do this, these robots access information from your IT systems.

    RPA solutions can be of three types:

    • Attended RPA: is an assisted automation, where the robot works under supervision.
    • Unattended RPA: is independent automation. That is, it does not require human intervention. However, it is controlled by other software systems.
    • Hybrid RPA: is a combination of the two previous types.

    Regarding the tasks that each type of RPA performs, the first case is used to complement human tasks, and the second is more used for tasks that involve repetition and large volumes of data.

    Trending Bot Articles:

    1. Chatbot Trends Report 2021

    2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

    3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

    4. An expert system: Conversational AI Vs Chatbots

    Which is the best option for you?

    Well, that will depend on the actions you want to automate in your company.

    If they are to support your employees, assisted RPA is probably the best option.

    If you want to automate large volumes of information, unattended RPA is the solution.

    And Chatbots? What are they?

    You already know what RPAs are, now is chatbots’ turn.

    Chatbots are conversational robots, also known as AI bots, conversational AI, or virtual agents. They are chat systems generally used in companies to automate and optimize their Customer Care services.

    They are systems that also use Artificial Intelligence, recognizing the requests made by users and giving them an answer.

    When the questions are more complex, they forward the customer to Live Chat, where the customer is assisted by a human assistant who helps him solve the problem.

    Find out here which is the best option for your company: Live Chat or Chatbots!

    What are the Differences between Chatbots and RPA?

    Although chatbots and RPAs are automation solutions, they are quite different.

    One of the differences that stands out the most is that chatbots can communicate with a person, while RPAs are not.

    RPAs, unlike virtual agents, do not have any language recognition technology associated with them, so it is not possible to communicate with them.

    Therefore, as we have already mentioned, they are ideal for back-office tasks that do not involve interactions with third parties.

    Confronting one solution with the other, we can see the following differences:

    RPA

    • No linguistic knowledge
    • The goal is to automate processes
    • Focused on back-office processes
    • Receives structured information
    • Supports IT teams

    Chatbots

    • Has linguistic knowledge
    • The goal is to automate conversational processes
    • Focused on clarifying user doubts
    • Receives different forms of information
    • Support for business teams

    Why Implement RPA and Chatbots in your Company?

    Now that you know what RPA and chatbots are and their differences let’s see what you gain by having these two automation solutions. And how, together, they can be an asset to your company.

    8 Advantages of RPA Solutions

    Speed and Consistency

    People once carried out the processes that are currently performed by these bots.

    They usually involve large volumes of information, and to have reliable results, high levels of attention are required. In other words, the degree of error due to human failure can also be high, as can the time it takes to process the data.

    However, RPA technology allows these procedures to be performed quickly and with low error levels since a bot can perform the same task over and over again without going off schedule.

    Cost-effective

    Besides being fast to perform repetitive tasks, they are cost-effective solutions.

    Since there are no failures, there is no need to repeat procedures. So you save money. And even if you have to start from scratch, it’s much faster and again saves resources.

    Increased Productivity of your Employees

    As we have already mentioned, RPA enables the automation of repetitive and monotonous processes that were once performed manually.

    Without the need to occupy your workers with these procedures, you have a freer and more focused team on more complex and less repetitive processes.

    In this way, your team’s performance level increases.

    Increased Customer Satisfaction

    Although RPA solutions are implemented for back-office tasks, they also have an impact on your customer satisfaction levels, since they allow you to offer a higher quality service.

    Therefore, in direct relation, you have more satisfied customers who will certainly be loyal to you.

    Versatility and Connection between several Systems

    RPA technology is very versatile, as it can be implemented and have various applications depending on the industry.

    For example, in the financial sector, it can automate information validations, create reports for customers, form filling, among others.

    Another example, in the retail industry, you can automate the extraction of product information or automatically update the inventory on your website.

    Improved IT management and support

    Because RPA improves the operational quality of the back office and monitors your network, it allows you to deal with potential problems in less time and therefore without requiring extraordinary resources.

    What your Company Needs is a Chatbot with RPA!

    The benefits of RPA and chatbots are very similar. However, and as we have already pointed out in the section on the differences between the two solutions, chatbots have the ability to understand and communicate with their users.

    Still, it’s possible to merge the two solutions and create RPA Chatbots.

    RPA Chatbots combine the processes automation of RPA and the communication capabilities of chatbots with Artificial Intelligence.

    For example, while the chatbot talks to your customers, the RPA bots gather information from external systems. This way, you can offer an even more complete service without overloading your employees.

    Moreover, if you have an internal chatbot to support your employees, you don’t need your staff to learn how to work with different platforms.

    Just provide them with a chatbot in which they ask for information, and the RPA bots linked with your chatbot will gather that same data.

    Furthermore, users can, for example, request updates from CRM systems, among others.

    This saves time and makes your team’s work more efficient!

    Want to enjoy the benefits of automating your processes and communications? Let’s Talk!

    Don’t forget to give us your 👏 !


    RPA and Chatbots: The Most Incredible Combination was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

  • PersonalityForge AI

    Hi all, I was curious as to how the AI works on PersonalityForge. What does the rating mean? There’s also a thing for AI to “remember” you but I’m unsure of how that works, it didn’t seem to when I reloaded the page on mobile.

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

  • Chatbot Design Framework/Library for React?

    I’m building a chatbot builder that allows users to drag and drop boxes with expressions, intents, and responses that later gets summarized into a JSON file for the backend server to process and create the chat bot. Assuming the NLP stuff and bot creation process is all done already (i.e if you feed it a JSON it spits out a chatbot), is there an open source library or framework for creating that tree structure + drag and drop model?

    submitted by /u/Jpark9061
    [link] [comments]

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

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

    Implementing a Conversational AI solution is integral for businesses that want to improve their Customer Experience. With the right strategy, you can engage with customers in human-like conversations while being cost-effective. However, with a plethora of solutions available, most CX and Digital Transformation professionals get confused between ‘chatbots’ and ‘intelligent virtual assistants’.

    The principal question being — can ‘chatbot’ and ‘Intelligent Virtual Assistant’ be used interchangeably? Or does their scope, complexity, and capabilities vary?

    Simply put, Intelligent Virtual Assistants (IVA) are evolved chatbot solutions to serve the needs of a modern-day enterprise customer. Chatbots are simple rule-based systems that can only handle simple, routine FAQs. On the other hand, IVAs are advanced AI solutions — equipped with NLU (Natural Language Understanding) . NLU helps them understand and retain context for smoother conversations while carrying out a wide variety of tasks to fulfill a user’s requirements.

    Let’s drill down deeper to understand the key areas where IVAs bypass the capabilities of a Chatbot:

    #1 IVAs can understand user queries better

    When it comes to understanding queries, chatbots have a very limited scope as they respond from pre-defined scripts. IVAs possess the ability to learn over time and adapt to context for free-flowing chats. Moreover, chatbots use open-source NLP that are not trained to understand complex sentences with any industry or brand-specific queries. This leads to further bot breaks and heavier load on Live Agents creating a vicious cycle of poor Customer Experience.

    Haptik leverages our own proprietary NLP engine to cater to domain-specific intents and trained on 4 billion+ conversations. As recognized globally at EMNLP 2020, Haptik NLP wins in terms of accuracy against multiple open-NLP libraries like Dialogflow, Rasa, LUIS.

    Here are some proven use-cases where Haptik IVAs outperform any regular chatbot in the market:

    1. Maintaining conversation context: In the journey of having contextual conversations, chatbots can only identify return users. However, IVAs go much further by remembering information derived from past user behavior and actions. It then uses this information for more context in future conversations.

    2. Understanding complex sentence structures: In free-flowing conversations spelling errors, slangs, negative sentences or “negations” are very common. However, chatbots do not have the AI models that IVAs have, to understand specific intents and answer user queries with precision.

    For example,

    3. Gauging Sentiments: IVAs are equipped with simulated ‘emotional intelligence’ to analyze user sentiments by assessing the customer mood based on speech patterns and sentence structures. Most chatbots aren’t advanced enough to decode sentiments as they lack AI.

    4. Handling user intents like a Pro: Humans talk in natural language wherein often the intents are vague. In such cases, a chatbot is unable to handle user queries. IVAs are capable of handling such issues by prompting the user for more clarification.

    Eg: Haptik’s IVA in the screenshot is using a feature called “Did you mean?/ Disambiguation “ to prompt the user with possible interpretations of the query received for delivering a quick resolution. This reduces the chances of bot breaks and unnecessary overload on the agents.

    #2 IVAs are technically advanced

    Apart from the core capability of powering conversations, IVAs possess a wide variety of features to meet the complex requirements of any enterprise. These capabilities result in increased ROI over time and justify why IVAs are better for the future of CX. Let’s take a look at few instances validating the same:

    1. Contextual AI to Agent handoffs: Unlike other chatbots, which use auto-assign routing logic based on query queue to pass chats, Haptik IVAs take into account the agents’ availability and capabilities to provide the best support experience. Furthermore, Haptik NLP auto-suggests answers for queries to assist agents in responding to incoming user messages.

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    2. Leveraging Voice for enhanced CX: Given the growing use of voice as a medium for customer communication, IVA’s enable users to interact with businesses as if they were speaking to a person. An IVA like the ones we build at Haptik can accomplish this by using custom NLU models to understand customer speech and underlying messages to respond through text or speech. On the contrary, Chatbots are not prepared for phonetic errors, background noise, or differences in accent, making them unreliable for providing customers assistance via voice.

    3. Chat interface & user experience: While chatbots come with static buttons or text as responses after a user initiates a conversation, IVAs uses interactive prompts to get the user’s attention based on pre-defined triggers. When the user begins texting, the IVA can further autosuggest responses. The chat interface can also be configured dynamically to fit the brand’s design needs.

    Summing it up!

    When in a fix between Chatbots and IVAs, the latter will help you ensure customer’s delight! We hope this article helped explain how IVAs stand out in a sea of chatbots. The IVAs implemented by Haptik have been assisting brands to have more thoughtful and customer-focused conversations to inform, assist, convince, or to sell. And it would be fitting to say that the next generation of Conversational AI is at your doorstep and it’s time to embrace IVAs.

    Reach out to enterprise@haptik.ai to learn how Haptik can help your business!

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    Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.