Author: Franz Malten Buemann

If I am not wrong, most of you will be very happy and excited after seeing this title.

Yes, today, we are going to discuss Chatbots Vs. Conversational AI.

The reason for the excitement is that most individuals and enterprises are confusing between these two buzz words.

Every human being is born with knowledge, but only limited ones will use that knowledge intelligently at the right places & situations.

I hope the above statement will give you a comprehensible & primary difference between a Chatbot (Knowledge) and a Conversational AI (Intelligence).

To stay pertinent & prolific in today’s digital world, every enterprise must adopt the latest technologies to make their way into the computer world.

It means enterprises need to deploy solutions (Conversational AI) that customers expect to help enterprises scale and remain competitive in the competitive world.

If you are reading these words means you are eagerly looking out for some answers.

Continue reading!

In the end, all your doubts will vanish, and you can decide whether to go for Chatbots or Conversational AI platforms.

We are moving into the age of smart machines driven by Artificial intelligence, Conversational AI, the Internet of things (IoT), NLP, NLU, and Robotics.

What is Chatbot?

Chatbots are typically a rule-based and bounded software system that has well-defined categories that automate human interactions. The Chatbots are uncomplicated to build and follow some predefined stream.

The Chatbots will give responses to the only pre-determined linear flow of conversations.

Suppose if a Chatbot is built to provide solutions for problems A, B, and C. The bot immediately responds when those three instants occur.

If a human gives anything other than those three instants, the bot sends you an error message.

The Chatbots ease the process for humans by removing clicking on a menu of choices; you can talk or type as you communicate with a human agent.

The Chatbots are categorized under three categories based on their purpose, level of advancement, and communication channels. They are:

• Button/Menu
• Keyword-recognition
• Contextual

There are two core problems with the old Chatbot models.

The first one is the specific rigidity of learning models, and the next one is that Chatbots cannot learn in between conversations.

The concept of Conversational AI comes into the picture to solve the common problems faced in Chatbots.

Trending Bot Articles:

1. How Chatbots and Email Marketing Integration Can Help Your Business

2. Why Chatbots could be the next big thing for SMEs

3. My Journey into Conversation Design

4. Practical NLP for language learning

Understanding Conversational AI

You know, Conversational AI is the new user interface (UI).

In simple terms, Conversational AI is defined as a form of AI that enables individuals to communicate with messaging apps, websites, speech-based assistants, and devices in everyday language via voice, text, and video.

Conversational AI mainly focuses on the dialogue flow system, which handles human variance in communication between computers and humans.

The Conversational AI platform uses various technologies, Natural language processing (NLP), Natural language understanding (NLU), Machine learning, Deep learning, and predictive analytics to provide a human touch to the users while interacting with the machines.

Conversational AI carries out multi-turn banter & accomplishes decision-making tasks, just like humans.

Companies are shifting to Conversational AI platforms when Chatbots fail to deliver customer expectations, especially in complex use cases such as telecommunications, healthcare, insurance, and banking.

Conversational AI capabilities go far beyond natural human language, especially when compared with the standard Chatbots, which frustrates customers.

Conversational AI Vs Chatbots

Now, let us look at what separates a Chatbot explicitly from Conversational AI.

The initial iteration of Chatbots is commonly referred to as first & second generation, and conversational Chatbot technology falls into the third generation.

Chatbots are mainly useful for online enterprises, but coming to their abilities (Pre-programmed responses), they are limited, and they operate on if/else algorithms.

When the bot is incapable of acting in response to user intents, the algorithm either loops or that chat will be transferred to a human agent.

The Conversational AI bots remember personalities & preferences. Conversational bots use Artificial general intelligence to reflect and operate as a human.

Both the words ‘Conversational AI’ and ‘Chatbot’ have the same meaning.

Conversational AI technology can be used to build both text and voice assistants. In contrast, Chatbots are more confined to text-only conversation.

Conversational AI is more intelligent and smarter than standard chatbots.

Conclusion

We genuinely deem that these two technologies are complementary. When these two technologies combine effectively, they can enhance customer engagement & customer experience, which adds significant value for enterprises & users.

From the above all conversation, you got to know the difference between Rule-Based Chatbot and Conversational AI.

If you still have anything to converse about the right mix, get in touch with us.

We have great professionals on board who can give you the best possible solutions.

Stay Connect with us!

To get more updates on Conversational AI, Chatbots, and Artificial human intelligence.

Don’t forget to give us your 👏 !

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An expert system: Conversational AI Vs Chatbots was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Use Cases of Chatbots — With Real Examples, Application & Features.

Did you land on this article while finding an answer to your ‘What are the use cases of chatbots?’ Well, congratulations, you have found the right place, finally!

Ten years ago, did you have the vision to think that you can be sitting on your couch and just by tapping your mobile or tablet screen for a couple of times will fetch you a cab right outside your door?

Or, could you imagine that you can order your favorite pineapple topped pizza while finishing that document, and even before you are done, the delivery executive will be waving with a broad smile?

All this without any verbal communication — not even a lip-sync. And yet, here we are. A boon commonly addressed as a chatbot has made this possible.

This article is an attempt to throw some light on some of the best use cases of chatbots. While we are at it, keep a watch as you never know what can come up as the biggest asset for growing your business.

Use cases of chatbots — An introduction

Are you planning to skim through this article? Because that is what most of us do. For this one, you might want to take a pause and read this well.

We will be talking about how a simple tool can save you 100+ support staff-hours monthly, enhance your lead generation process and overall, make a difference in the way you operate your business.

Before we see how some game-changer brands have smoothened the process with chatbots, let’s briefly understand the benefits of using a chatbot for your business.

Round the clock availability

When was the last time you were kept on hold for 5 minutes straight by a customer care executive? Oh, and didn’t you feel annoyed and tired all at once? On average, people spend around 7 minutes until they are assigned to a person.

With a chatbot, you can ensure none of your customers has to face that. Forget those queues and extension digits you try to use to reach a human. With chatbots, you can get an answer to anything you ask within a fraction of a second, and you can do this for every visitor who knocks on your door.

Flexible attribute & easy training

Chatbots have the benefit that it can quite easily be used in any industry. If you plan to create a team of customer support experts, it might cost you much more time, effort, and money. Add to it the training courses and the hassles of it.

With chatbot being a cloud-based service, it becomes easy to train and feed information.

One time effort and you are done. For example, If your business brings an update, feed that information in your chatbot, and you are good to go!

Human assistance comes with a price tag, and rightly so. But, any company, no matter the size and age, looks to save big on operational costs with cost-effective solutions.

There come chatbots in the picture. Take a moment to compare the expenses incurred if you had to pay a team of 10support staff members. Now, think of the amount you will have to pay if you plan to integrate a chatbot.

The bottom line is, chatbots are affordable. As one chatbot is equal to many employees, it can easily communicate with thousands of customers simultaneously. We would only need a handful of people to jump into conversations sometimes when necessary.

Hence, it would drastically bring down the expenses and bring about a steep rise in revenue and customer satisfaction.

Trending Bot Articles:

1. How Chatbots and Email Marketing Integration Can Help Your Business

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4. Practical NLP for language learning

Customer satisfaction

Humans are social animals — full of emotions. They operate on expectations to a considerable extent.

Imagine you are looking to buy scrunchies as a gift for your sister. You find a website that captivates your attention with prompt and quick responses. On the other hand, imagine you reach out to an Instagram seller who is taking a week to reply. Which is the side you are bound to tilt? Indeed, the website that offered you quick responses, right?

This is a very simple example of how chatbots can be a real powerful add on for your business. They can delight your prospects right in time and ensure they become customers and not just visitors.

Handling capacity

Unlike humans, who can only communicate with one human at a time, chatbots can simultaneously have conversations with thousands of people. No matter what time of the day it is or how many people are contacting you, every single one of them will be addressed immediately.

Imagine you own a restaurant, and you have a good reputation for your food, of which most of your revenues come from delivery. As the demand keeps rising, you will have more customers to take orders from but very few staff to attend them all. Having a chatbot would eliminate such problems and cater to every person and ensure that no order is missed.

Companies like Taco Bell and Dominos are already using chatbots to arrange delivery of parcels.

Well, these are just some of the most spoken benefits of chatbots. Along with the above mentioned, chatbots help in faster onboarding, lead generation, sales enablement, and more.

Now that you understand how a single integration can make a big difference, let us see how businesses, in real-life, have used a chatbot to make complex processes easier.

Live use cases of chatbot — with examples

Let us agree — a practical use case comes up as more sensible. To keep things real, we have done the research, and identified instances wherein brands are going head over heels with chatbots.

MedWhat: Making medical diagnoses faster

A majority of us are living a life that we know isn’t as healthy as it should be. MedWhat has been helping the millennial generation with on-the-tap diagnosis, all taken care of by a chatbot.

This chatbot aims to make medical diagnoses faster, easier, and more transparent for both patients and physicians — think of it like an intelligent version of WebMD that you can talk to.

MedWhat is powered by a sophisticated machine learning system that offers increasingly accurate responses to user questions based on behaviors that it “learns” by interacting with human beings.

In addition to the ever-growing range of medical questions fielded by MedWhat, the bot also draws upon vast volumes of medical research and peer-reviewed scientific papers to expand upon its already considerable wealth of medical expertise.

Here’s what diagnosis at MedWhat looks like.

Sephora: Easing the complex makeup processes

All of us are once, a newbie at a particular thing. With the worldwide pandemic and people forced to shut the doors and stay in, people have tried their hands on new things. One of them is learning makeup.

At Sephora, you can get all kinds of makeup tutorials if you chat with them. This personal assistant will also help you by providing product reviews and ratings when you’re shopping in a store.

Here’s a snapshot of the Sephora bot in action.

Pizza Hut: Sending a favorite piece of meal to all

You are lying if you say you have never felt that craving to order a pizza on a tiring evening but, walking down to that shop at the end of the street seems like a big run. Extend your thanks to chatbots, for they are making everything, literally accessible.

Pizza Hut’s customers can easily order pizza for delivery or take away from Facebook’s Messenger or Twitter. Customers can also reorder their favorite pizzas, ask questions, and see the current deals.

Check out how Pizza Hut delight’s its customers through chatbots.

Spotify: Uplifting & assisting everyone to go through it all

Music has been a goto for everyone for ages. If you have ever made your way to Spotify’s website or mobile app, you know they hold a real music treasure.

Roof Ai: Generating and assigning leads automatically

Spotify’s Facebook Messenger bot makes it easy for its customers to search for, listen to, and share music. Once you get started, you’ll get playlist recommendations based on your mood, your preferred genre and more.

If you work in sales and marketing, you probably already know how vital lead assignment is. After all, not all leads are created equal, and getting the right leads in front of the right representatives at the right time is a lot more challenging than it might appear.

Enter Roof Ai, a chatbot that helps real-estate marketers to automate interacting with potential leads and lead assignment via social media. The bot identifies potential leads via Facebook, then responds almost instantaneously in a friendly, helpful, and conversational tone that closely resembles that of a real person.

Based on the user input, it prompts potential leads to provide a little more information, before automatically assigning the lead to a sales agent.

One of the critical advantages of Roof Ai is that it allows real estate agents to respond to user queries immediately, regardless of whether a customer service rep or a sales agent is available to help. This can have a dramatic impact on conversion rates.

Isn’t it amazing to see these brands disrupting the space with unique solutions while making customers feel valuable? Well, you can be one of them too.

As you can see, there’s a heap of ways to utilize chatbots, and the usage numbers don’t lie. They might not have taken over just yet, but more people are becoming more aware of their uses — and more brands are tapping into that opportunity.

Are you confused about the use cases that can be solved by chatbots for your business or are confused about which chatbot platform to go for? Fret not, check out what we have for you in-store and maybe, we can be a good fit!

Key takeaways

• Chatbots are seeing traction from businesses across domains. There is an endless list of use cases that are being solved.
• Chatbots can help you enhance the navigation for your prospect visitors.
• Businesses are building solutions that can help customers place orders and get information without any human intervention. That seems like the next big thing.
• Tutorials, being consumed now more than ever are one of the best solutions to offer your visitors.

In conclusion

While all these chatbots seem advanced and complex to use, create, and integrate, the fact is that they’re relatively simple to build. Chatbot builders have made processes easier and simplified.

Don’t forget to give us your 👏 !

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Use Cases of Chatbots — With Real Examples, Application & Features. was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

These days, situations where people are looking for diagnoses on the Internet and then the results scare them, happens very often.
They search for the symptoms on the internet, observe them for a while and then when they get to a doctor, they are either diagnosed with life-threatening diseases or just a common fever.

Often, a delayed diagnosis or misinterpretation of a medical condition or injury can lead to fatal problems.

With the advent of Conversational AI, situations like these can be easily avoided. Conversational AI is transforming modern healthcare technology in so many profound ways as we witness a paradigm shift in the way patients are being treated by doctors with the help of powerful NLP and Machine Learning.

Artificial intelligence in the healthcare market is estimated to grow from USD 4.9 billion in 2020 and reach USD 45.2 billion by 2026, at a CAGR of 44.9% during the forecast period. AI will also be instrumental in cutting down costs. Accenture predicts that with the growing demand, the US healthcare sector will save $150 billion by 2026. In a nutshell, we can say that Conversational AI applications are revolutionizing the healthcare sector to cut down on costs and enhance the patients’ experience.

Modern telehealth products and services have numerous different solutions to offer healthcare organizations. Some of the remarkable features include educational materials, remote patient monitoring (RPM), medication, and symptom tracking.

But, how exactly Conversational AI integrated in healthcare organizations will match the ever-growing need for essential change in the traditional healthcare delivery model?

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1. How Chatbots and Email Marketing Integration Can Help Your Business

2. Why Chatbots could be the next big thing for SMEs

3. My Journey into Conversation Design

4. Practical NLP for language learning

Consider, for example, a person gets diagnosed with Diabetes, these might be the following things that he might do next:

• Watch a video on carbohydrate counting, followed by downloading a health app on his/her phone.
• Use his/her mobile phone or other devices like smartwatches to upload food logs, medications, and blood sugar levels to get reviewed by a nurse who responds automatically.
• Use an app to calculate calories, decide his/her diet and exercise level, how much insulin he/she needs as per the health condition.
• Use an online patient portal to schedule consultations, see the test results, request prescription refills, or email the doctor.
• Order medications online.
• Get email, text, or phone reminders when he/she needs a yearly check-up, flu shot, foot exam, or other preventive care.

Too much app fatigue right? But what if a single entity gives a patient all these information from health monitoring to booking an appointment, how easy that would be. Both for the patient, doctors and clinicians.

A GPPS 2020 survey, which united 740,000 patient responses has shown that:

➤ 65% of patients find it easy to get through their practice by phone.

➤ Increase in online awareness and usage of online booking appointments and ordering prescription refills from 2019–2020.

The Takeaway: conversational AI in healthcare mainly serves the purpose of personalization, helping the patient feel more relaxed and feel more trust towards the hospitals and the doctors.

How Conversational AI is accelerating Virtual Healthcare?

AI is gaining exponential traction in healthcare. The demand for patient satisfaction and positive financial outcomes has pushed the healthcare industry to undergo a major transformation. Hospitals and their chain of institutes are now equipped with modern contact centres to deliver superior customer experiences across every touchpoint, with contact centres central to the shift.

While these tasks are taken care of and hugely accepted by the industry, AI has expanded its capabilities from being restrained to enhancing back-office productivity, to emerge as an enabler to improve healthcare outcomes.

Conversational AI in healthcare organizations take care of a patient’s diverse needs and also record the health condition. Most importantly, rather than eliminating humans in the contact centre, AI and the automation enables call centre agents free for delivering higher-value — and more engaging, interesting — work. Voice technology also plays a crucial role in various AI-powered assistants. Not only does it utilize embedded analytics, but also designs smart workflows to produce dynamic responses.

BENEFIT OF AI FOR HEALTHCARE

Now, let’s look at how Conversational AI accelerates digital health and focus on revolutionizing the patient-doctor experience in synergy.

Real-time Healthcare Assistants

A study shows that 89% of people research on Google before visiting the doctor. Let us consider the example of Nora, a graduate student who has a cold, but she also has a fest in 2 days and doesn’t have time to visit the doctor. She searches Google for her symptoms and treatment. After finding probable medicine that might cure her symptoms, she visits the nearest pharmacy for over the counter medicines. But is Google reliable for health-related search?

Now consider an AI-powered Chatbot Dr. Max, who quickly checks through the database and provides Nora with helpful information. Further, Nora can take a doctor’s consultation in real-time. It also has a feature where she can order her medicine online through chat. Within 15 minutes, she has reliable information through her virtual doctor and medication, all in real-time.

These chatbots are available 24×7, providing patients with instant answers to all their health-related concerns while guiding them on how to deal with potential problems.

24*7 Support in Clinical Decisions

In addition to immediate diagnosis, VAs can help in clinical decision-making. The assistance of Natural Language Processing (NLP) helps doctors to narrow down and focus on all relevant information from patient reports. Once the decision is made, the support can be provided through healthcare contact centres by virtual voice interactions or virtual agent interactions to keep the patient engaged via phone/email/ SMS channels. AI can store and process large sets of data that provide a pool of knowledge database, facilitate examination and recommendation for patients, giving an upper hand to doctors for clinical decision support.

Increase Patient Engagement

Engaging patients through virtual assistants can help them maintain appointments and keep a check on their schedules. AI-powered chatbots work closely with humans and accelerate more routine patient management activities. Virtual agents at contact centres help patients with immediate resolutions to problems whenever a physician is unavailable by facilitating with first-aid information, etc. Furthermore, virtual assistants reassure patients that their providers are available and involved in their journey. The VA makes it easier for them to reach out with their health-related questions, report early warning signs, and schedule a follow-up appointment to make sure they are on track.

Enhanced Engagement more Efficient for Payers

Besides helping patients and caregivers, AI also helps the medical insurance business. In the hospitality sector, patient clinical record analytics are critical and a high level of data accuracy is needed, which is why data processing could be entrusted to smart algorithms.

AI-powered virtual assistants engage with the customers to understand their policy requirements and engage them by showing the right product videos, images, and other media. It also recommends them appropriate policies and provides them a smooth customer experience. Leveraging the intelligence trained virtual platforms, virtual agents can handle scenarios unique to the health ecosystem while maintaining the integrity of data and patient information.

Automates Administrative Tasks

Healthcare requires the accurate processing of a huge amount of information, medical data, and hospital reps spend a great amount of time on activities through the hospital management system or conventional manual procedure. To allow caregivers to shift their focus on more important tasks, robotic process automation (RPA) is of great help. RPA helps the hospital management system with a quick and patterned process of documents — tons of medical claims, records, electronic health records (EHRs), and more. This helpful process not only automates the medical records but also relieves personnel from manually intensive tasks, and improves care outcomes.

About Swifter AI

Swifter AI- healthcare assistants can be easily integrated with the existing phone systems (mobiles, landlines or VoIP) be it a GP Surgery, a Private Hospital or Clinic, or other Healthcare Provider, NHS 111 or Public Health England. It works on other communication platforms as well, like websites or Facebook Messenger and offers 24/7 support to bring efficiency to the existing mundane operations.

Request a demo to explore how Swifter AI can help transform your healthcare operations and enhance patient engagement with Conversational AI.

Our 24/7 AI assistant is available over web chat, on Facebook Messenger™ or over the phone +44 (0) 1256588165.

https://swifter.ai

Don’t forget to give us your 👏 !

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Reduce clinician burden and enhance patient efficiency with Conversational AI was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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We have a range of platforms and methods for developing chatbots. Each chatbot has its own personality. It all depends on who the users are and how they use it.

At a high level, any chatbot would fall under one of the below types

Rule-Based Chatbots: They are guided chatbots where the bot guides the user by prompting options for selection until the final response.

Smart Chatbots: They understand the context and emotions of user queries and respond accordingly.

Hybrid Chatbots: It involves both rule-based and intelligence-based approaches to better understand and meet user needs.

A standard chatbot would require an NLP, backend code to generate responses, and an optional live support executive if the bot is unable to recognize.

An NLP is required to understand the meaning of the user question and to construct a human-like conversation with users. For each user question, a score is determined for each intent in a bot, and the one with the highest value is most likely the exact matching intent.

Consider the case of an HR bot with three intents and a backend service that collects responses from multiple sources.

Problem

When there are multiple chatbots for different departments across the enterprise, It can be difficult for users to remember or recognize which chatbot to use.

The best solution is to build a “concierge/centralized chatbot” that can serve all of the user’s questions intelligently and route them to the appropriate chatbots maintaining a human-like conversation.

This can be achieved in multiple ways

1. Concierge bot without an NLP
2. Concierge bot with its own NLP
3. Concierge bot without an NLP but, directly accessing the NLPs of respective chatbots

Let us consider some scenarios and observe the pros and cons of each:

1. Concierge bot without an NLP

Let us create a centralized chatbot without an NLP for 3 different chatbots, and allow it to start the conversation with a welcome message with 3 quick replies where it can route to. On the backend will write if-else or switch logic to handle user selection and connect to the respective chatbot.

That’s not a smart idea at all. It lacks the human approach since the customer cannot type his sentence directly (which is the most crucial in a perfect chatbot). An NLP would have improved here, but let’s not spend money on one just yet; we can get away with hardcoding some keywords for each chatbot.

For example:

Human_Resouce = [“timesheet”, “hr”, “shift”, “on-call”, “leave”, “hours” etc…]

Financial_Queries = [“financial year”, “salary”, “tax”, “deduction” etc…]

Bank_Policies= [“fixed”, “current”, “deposit”, “credit” etc…]

When a user says “I am unable to submit my timesheet”, since the timesheet keyword is present in the Human_Resource list, the user is connected to the HR Chatbot, and the interaction will continue there until the user closes the conversation.

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1. How Chatbots and Email Marketing Integration Can Help Your Business

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4. Practical NLP for language learning

What if you have more and more separate chatbots?

We can still use the previous method, but as the number of chatbots grows, the bot would be unable to maintain a human-like conversation with users and it would again leave users perplexed while making a selection.

So, I believe it is now time to add a natural language processor (NLP) to our concierge bot.

2. Concierge bot with its own NLP

But, wait! how do we train a Concierge Bot? * Which utterances should I use to train our Concierge Bot?

1. Pick the subset of utterances from each intent of each bot and combine them to form intent in the Concierge bot? i.e., each bot’s trained utterances will become an intent of the Concierge bot.

This might work!! But, what if it doesn’t recognize the queries which are not in Concierge NLP but trained in the primary bot?

Perhaps setting a lower threshold of concierge NLP can crack the puzzle?

OR

2. Copy all the utterances of each bot as an intent of the Concierge bot?

This should match the intent correctly for most of the utterances.

But, we have few issues –

a. The NLP of Concierge bot gets huge as the number of chatbots increases.

b. Training the utterances at two places (chatbot and concierge bot)

c. NLPs will have the data storage limit

d. Splitting the NLP into 2 or more would also lead to complexities

Did our solutions work?

3. Concierge bot without an NLP but, directly accessing the NLPs of respective chatbots

Let’s go look again at the Img3 of 3 separate chatbots. Why can’t we reuse the same NLP from the respective chatbot instead of making a different NLP for the concierge bot?

Yes, pass the user sentence directly to all the NLPs of the chatbots in parallel. This can be done by making a single asynchronous call to all of the NLPs and collecting the confidence scores of each bot at the intent level. It not only tells which bot is the best match but also which intent is the exact match for the given sentence.

Let’s assume the confidence score of an intent as α (alpha)

if α ≥ 85%*, prompt to confirm if multiple, else directly connect with bot

else if 75%* ≤ α ≤ 84%*, prompt to confirm even if one

else if α ≤ 74%*, ask user to rephrase the sentence

* threshold values can be set as per our requirement

As seen in the Img7, for the user question “How do I apply for leaves in my timesheet?”, all of the respective chatbot’s NLP returned confidence scores, and the highest match is with Intent1–92% of HR Bot, which is greater than our threshold value, so the concierge bot connects with the HR Bot for rest of the conversation.

I hope, that cleared!

Consider 6 different bots returning confidence scores where 2 are greater than the threshold. Refer to the image below, where a user is having trouble accessing the timesheet page. This could be related to HR Bot if the problem is with his access, or IT Support Bot if the problem is with the network or browser. So the query has matched intent from both bots with >85% confidence and as per our condition “prompt to confirm if multiple”, will prompt the user to confirm what exactly they meant.

Few NLPs don’t provide intent scores

During my assessment of various NLP-based chatbots on the market, I discovered that the majority of NLPs return confidence scores, but few don’t. Those bots would either return the matching intent name or a fallback if none of the intents fit.

Since we’re dealing with multiple chatbots, regardless of which NLP is used to predict the user’s context, our approach to create a concierge bot remains the same.

Imagine each bot is developed with different NLP and the results/scores are as below. The condition still remains almost the same.

Let’s assume the confidence score of an intent as α (alpha)

if α ≥ 85%* + Intents, prompt to confirm if multiple, else directly connect with bot

else if 75%* ≤ α ≤ 84%* + Intents, prompt to confirm even if one

else if α ≤ 74%* + Intents, ask user to rephrase the sentence

* threshold values can be set as per our requirement

Here,

intents whose score is greater than the threshold (85%) i.e., Intent3 (from IT Support Bot)

+

intents returned by few exceptional bots i.e., Intent3 and Intent2 from Banking Bot and Insurance Bot respectively.

In total, 3 intents are matched. As a result, make these intents available to users as button choices, and attach them to the bot that the user chooses. The conversation starts !!!

That’s it.

I hope that provided a favorable idea to deal with multiple chatbots. Let me know in the comments what do you think about it. Thanks for reading.

Don’t forget to give us your 👏 !

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Concierge Bot: Handle Multiple Chatbots from One Chat Screen was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Conversational marketing is a process of enchanting online visitors and transforming the leads through conversation-determined proceedings. It aims to form the client’s best relationship by developing trust through the discussions and creating the shopping experience at ease more dynamically and engagingly than any other methods. Chatbots are the most reliable and popular tool used for the same.

Chatbot marketing is a quick way to shift purchasers via healthier, humanoid, and engaging conversations. It also helps in seamless lead generation; means a conversational bot will be 24/7 available and help visitors in better rapport building, which gives a personalized experience to all customers.

Chatbot As A Marketing & Management Tool

The traditional ways of marketing days are gone. Today is the era of conversational marketing, which helps in engagement through text and graphical conversational messages just like humans interactions. The truth is many people like to interact in such a way as this is more comfortable, fast and allows healthy conversations between customers and business.

Around 90% of consumers prefer to use conversational marketing tactics as a business model, and they prefer email form says Twilio.

The truth is that buyers and customers do not have sufficient time for the traditional marketing channel in this fast-paced world, and just 45% of persons respond appropriately to cold calls. Also, on average, the email access rate lowered to 20%, and lastly, it is found that in the landing pages, the conversation rate is around 2.35% in traditional channels of marketing.

Thus, B2B getting methods have occurred as impersonal and cold, and dreadful to the buyer.

What is a Focus Group?

A focus group is a gathering where around 5% of efficient consumers get mingled with a negotiator for answering the queries on the brand, enterprise name, product, etc., for proper market research.

Here the stakeholder provides their suggestions, opinions, and criticisms to the questions raised, also the negotiator will record it. The right key for the progress will be to figure out the correct stakeholders, and you need to focus on the best-targeted market of your enterprise, such as women in the age group of 25–35 years.

When Do You Need To Carry Out A Focus Group?

• When you wish to begin a novel enterprise in the market, you are not aware of them.
• If you want to widen your enterprise in other markets.
• When you form a brand-new product, you wish to obtain feedback on the product to be packed and well-crafted.
• If you wish to find new views that aid your enterprise in developing in the existing market, you cannot think of.
• Also, when you wish to alter your entire products/ services rates, thereby avail profit in this competitive market of today.
• Lastly, if you wish to know precisely what people or audience have an opinion on your services/ products.

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Benefits of A Chatbot in Focus Group

The focus groups are very forceful since it allows you to access your focused market mindset compared with the other types of market research — the participant’s start expressing evident and deep thoughts during the discussion. Including chatbot can help make the group interactions more productive and resulting.

Now let’s see the benefits of conducting a focus group with a chatbot below:

• It could be empowering for the participants; with a chatbot, participants can communicate and share data more flexibly.
• It saves time and money, which chatbots are the best known for.
• An organizer can share basic questions details about group meet in real-time with a chatbot.

Remote Focus Group Through Videos

Figuring out a dedicated remote focus group is a great benefit for your marketing crew. One of the most common ways to organize remote focus groups is through videos.

It helps immensely in effective video marketing and runs smoothly, safely, and securely. The fantastic remote focus group follows a specific flow and lifecycle to ensure the feedback you get suits the research objectives.

You can fascinate the professional audience with indigenous videos at all stages of a purchase voyage through video advertising. Thus, building brand awareness with professionals can be made easier, acquiring well-qualified leads and obtaining customers. Therefore, using a remote focus group for video marketing can also be a good plan.

A chatbot can help share the videos with all participants and collect the analytics like who watched it and who didn’t. Participants can also ask chatbot basic questions like location, purpose, goal, other participant details, etc. A chatbot can also be used to take attendance, raise query tickets, etc.

Having a chatbot in the loop can help remote focus group meetings go smooth and even help understand the participant behavior if it has AI integrated.

You can also train chatbot to take feedback or reviews of each participant post group conference.

Three Ways To Run A Remote Focus Group

Usually, the focus group occurs in a meeting room or a large conference hall. But in these modern days, they appear virtual. Working remotely has enormous benefits to both individuals and organizations. Let us see how effectively focus groups can run.

1. Synchronous Multi-person Video Conferences

It is a widespread way to run the remote focus group effectively. Here all the participants have the conversation for the same duration. The best example for this conference type is live video or phone conference and computer-assisted conference.

2. Asynchronous Interview Formats

This communication mode permits the interviewer to ask the pre-recorded questions through video format. Thus, it’s evident that the focus group does not have the feasibility of conducting a live meeting.

3. Survey Panel Respondent Groups

This process involves encouraging market research solutions online to hand over to the panelist. These are the best ones for brand impression, content creation, concept testing, and product development.

Summing Up!

Thus, in this digital age period, the focus groups are valuable to the marketers, since it increases vast insights into the consumer’s interests, attitudes, perceptions, and motivations. Also, it permits a good study on why customers act in such the way they do.

The voice of the consumer is at the heart of every business decision. Thus, these remote focus groups for video marketing are highly efficient. Conversational marketing with the remote focus group helps in a genuine conversation, thereby rendering tremendous value besides several marketing funnels.

“The conversational marketing main vision is not to replace human marketers but to remain the best alternative to human efforts.”

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Chatbot For Remote Focus Group Management was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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