Month: May 2021

Thanks to the internet, the world is more connected than ever before and businesses can easily reach their customers through the network. With more and more people using the internet to access the services, the demand for a better experience and problem resolution is increasing at a pace that it might be hard for businesses to reach the expectations.

Highlights:

• What is conversational AI?
• Benefits of automating customer service with Conversational AI
• Final words

It is Estimated that every year, 265 billion customer service requests are made and money as much as $1.3 Trillion is being spent to satisfy the customer requests. With E-commerce businesses are expanding into more spheres and increasing their customers, these queries and their complexities would only grow. With that, the cost for businesses to scale their customer services would also grow.

You may have already known about the AI impact on e-commerce, in recommendations, and other areas. Not only in them but AI also has the power to improve and automate customer service at a low cost and with phenomenal performance.

In this article, let us discuss the benefits that an E-commerce business could get with implementing automated customer service with conversational AI. But before that, let us have a brief discussion about conversational AI.

What is conversational AI?

As the name indicates, Conversational Ai is a set of technologies that use the techniques of Machine learning on huge volumes of data and also natural language processing to mimic human interactions and have the ability to engage humans in conversations.

Customers would always have problems and they might reach out to you through many channels. Instead of directly connecting to humans, you can keep chatbots there to perform a lot of general tasks: give certain information, search help articles for them, and others.

Chatbots are also being made with high adaptability so that you can fine-tune them and use AI in e-commerce businesses’ unique needs and feed them the right content they have to talk to the users.

Many organizations have already implemented chatbots in various areas of User experience and have experienced phenomenal results.

Benefits of automating customer service with Conversational AI

Reduced cost

Once deployed, the chatbots work for you in various channels 24/7 with the same level of efficiency at all times. This greatly reduces the cost you put on people to be available for the time. Also, a chatbot in an artificial intelligence e-commerce platform can easily deal with multiple messages at any instant, and with this, you can easily handle a high amount of volume of requests while minimizing costs.

According to an estimate, deploying chatbots to automate customer support services can save up to 30%! In addition to having an intelligent bot helping you to save costs, your business would be available for your customers all the time!

Reduction in attrition rate

People quitting jobs has always been a problem with customer service centers. According to a report by (QATC) Quality Assurance and Training Connection, the attrition rates faced by call centers are twice that of other industries combined. There might be many factors in this, but the repetitive and mundane nature of calls is also one.

Chatbots and the use of AI on eCommerce eliminates the typical and mundane tasks and lets support agents focus on the complex tasks faced by customers, which contributes to a certain reduction in their attrition rate.

Power of machine learning & personalization

Personalization in customer experience has proved to have a positive impact. It increases the overall user experience, helps solve problems faster, and improves your standing with your customers. These platforms use the stored data of customers. Conversational AI in customer support uses the data and provides an engaging personalization experience.

Chatbot uses machine learning algorithms and gathers more knowledge about the data for showing personalized solutions. Natural language processing techniques are getting powerful. We can deploy chatbots in different languages.

Reduced Resolution time

Nobody wants to wait in line for longer until a suitable customer service agent would be connected to resolve the query. According to a survey conducted by Accenture, about 66% of consumers in mature markets expect faster customer support and this figure is higher for emerging markets which stands at 78%. So, not only giving great customer service is important, but giving it in time is most important.

With the power of the NLP, conversational chatbots can understand the intentions and motivations behind customer requests. Chatbots can directly answer simple and Frequently asked questions accurately.

Supports different channels

Not all customers might want to communicate with you in the same way. Some prefer to chat on your website, some might prefer to chat on their favorite social messaging app while some prefer through voice calls. Conversational AI can work a wide range of channels and helps you establish high-quality customer service in the channel your customer prefers.

Continuous Improvement

The lifeline of any machine learning model is data. If you continuously feed them more data, they become powerful than ever before. So, the more you use conversational NLP-enabled chatbots for your sites, the more data they get and the more they learn. This learning process can be twofold. In one sense, they learn the general behaviors of people and get better at helping but also, they can learn to deal with specific customers in a better way too!

Final words

With growing customers and their demands for a better user experience for all their needs, there is mounting pressure on the customer service area of e-commerce businesses. Conversational Ai has improved a lot and they can now be used to automate customer service through many channels for answering their queries and solving user’s needs.

With all the benefits they offer, automating customer service through chatbots assists conversational commerce in many spheres and ultimately improves the satisfaction of customers. They get their problems solved quickly in a more personalized way and support the channel they prefer. By taking care of repetitive and mundane tasks, they satisfy support agents. So, it results in the overall satisfaction of customers and support agents. With all this, they improve your businesses as a whole!

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Automate Customer Service with Conversational AI in E-Commerce was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Today we are surrounded by technology and gadgets. Our day starts with snoozing or if not lazy then turning off the alarm. Throughout the day numerous times, we check our mobile phones without any particular reason. Now Technology has become an essential commodity for all of us.

This technology when introduced in the business as an attribute of Machine Learning, it literally took off. Technology had great advantages in every aspect of business and made living a lot more easy task for users.

Technology grows with time, it just gets better and better day by day. Trends in technology just change on an almost daily basis. Nowadays on an hourly basis, we get an update. Business experts and CEOs find it difficult to meet up with technological trends. This is why Conversational AI applications were introduced. AI is the latest trend in technology which has its own intelligence so it will research and sort all the latest trends.

In any business model, some inflation points are to be considered. The 3 most common and vital points are security, recognition of the demand, and constant growth. AI provides all these in a single technology that is why it is considered the future of business. Keep on reading to know about AI, conversational interface, and the future of business.

All you need to know about AI technology to skyrocket your business

AI is an abbreviation of artificial intelligence. Let us divide and know the meaning of both terms to understand AI technology. Artificial means something which is not natural, in other words, which is man-made. Intelligence is something that can acquire knowledge, learn and grow. So if we combine both terms we get AI which is a machine with its own intelligence.

AI is a technology that doesn’t have its own brain but mimics the human brain. So it is used by almost all of us but we were not aware of it. Google Home, Alexa of amazon echo, Natasha by hike, Siri on iPhone are all examples of voice assistant AI technology.

Can AI take over humans in dealing with Content Marketing Strategy?

In modern companies and business models, AI technologies are used and are performing better than humans. Therefore there is a chance of employees may be getting replaced by AIs, so there is a wrong term that AI vs Human who is functioning better.

In reality, AI comes with great advantages but also needs a human brain for its smooth functioning. So humans and AI can and should work together for the betterment of companies and businesses. So it is never going to be humans vs AI but humans and AI vs modern problems.

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

What is a conversational interface?

Conversational Interface is generally considered as human to the human interface but now AI has been combined with a conversational interface. So the artificial interface can answer your questions in a human manner making it look more like a conversation. This combination if introduced in the business then it can turn out to be very handy.

The conversational interface is classified into two types

• Voice conversational interface.
• Text conversational interface.

Now after combining AI with CI owners can connect with multiple consumers on various platforms at the same time.

AI can answer queries of customers on Facebook, Twitter, text messages, voice replies on google, and various multiple platforms have given it in the direction of the conversation. AI with conversation helps to reduce various steps like searching, finding the right information, and getting the right results. By just asking queries you can directly get answers which saves a lot of time for customers as well as the time of owners.

AI with a conversation interface is very useful. It is still in the developing zone. We can expect a lot from AI in the upcoming future to take marketing to the next level setting new standards.

What are the fundamentals of AI?

After knowing the exact potential of a good conversational Artificial intelligence system, we can work on improving our future plans and strategies and can make some practical steps to implement in our plan and achieve desired results.

Till now it was very difficult for us to implement technology in the business. In the latest trends technology has become a vital part of the business. Conversational Artificial intelligence has the potential to work more efficiently as compared to humans and the demand for machines is always less than that of humans. However Artificial intelligence still gives skilled employees a good scope to earn a secured place.

Artificial Intelligence is programmed to extract content from queries. It helps to provide the information whenever and wherever it is needed. It is important for us to know how to make proper use of such advanced technology and implement it to make progress. With the help of Artificial Intelligence, we will be able to set new standards in the world of business.

How AI be used in various business models

Conversational AI can be used in various businesses like Banks to know the best investment plans and guide you with other strategies. It is also useful in email marketing and other such business where customer engagement plays a vital role.

When it comes to AI there are no shortcuts you must be able to interact with AI. AI creates a perfect platform for customers and businesses to interact and get satisfying answers. You don’t need to follow a long process to get the answer and owners now don’t need to hire a human to answer all queries.

When you are on the business side, customer satisfaction is your topmost priority. Conversational Artificial Intelligence surely helps you to deal with your customers almost anytime and anywhere. Humans may get irritated by answering more than a couple of times but AI will answer with the same efficiency every time.

No more assumptions related to conversational AI

Well-designed bots and IVAs aren’t built on assumptions. They are more efficient and durable, humans may not be able to match with them. These technologies have the power to minimize all assumptions, achieve ideal conditions, give desired results, and make more profit in the business. We should be able to understand the potential of technology and how we can use it to grow our business. We must be able to achieve new levels and upgrade ourselves.

In day-to-day life, we use various social media platforms, our day starts with checking messages on WhatsApp, stories on Instagram, and reading comments on Facebook. Now let us see how we make use of these chat boats in our day-to-day life. If we want to order something we can simply say it loud to Alexa or Siri or any other AI and it will order it for you. You can easily call someone without even touching your cell. You can send a text message when busy by just ordering to AI. This is the importance of AI in that it has its own intelligence which was lacking in previous conversational interfaces.

What makes AI unique and extraordinary

AI gives you a feature to get to the end result without following the usual steps. Suppose you want to choose the best loan for the home, you need to follow some steps like:

• To search for the best website
• search for the loans option
• find the loans for home
• compare and find the best loan amongst them.
• apply for the loan.

Now with the help of AI, you just have to ask for the best home loan and you will get the result. Seeing the buyer’s persona, and tracking the behavior of the person, AI produces the best results. AI saves your time and makes complex things simple for you. You can even ask different questions and satisfy your queries. Just as Google Assistance, Amazon Alexa, Smart Speakers, Text to Speech of Google search Engine, and Facebook messenger predicted replies work.

Instead of searching and texting, you can use voice conversation. Even when you are busy and carrying out multitasking you can easily speak out and AI will respond to it. You are packing your bags, having a glass of milk in one hand, and already late for the office but you need to book a cab, rather than getting frustrated you can simply ask AI to book a cab and you are done. This is how AI can mimic the human brain and help you with its own intelligence.

Is the future of AI completely in safe hands?

Every coin has two sides when it comes to technology we must address its limitations as well. AI has two main limitations:

• Technological errors
• Conversational errors

Technological errors: This can be also said as temporary errors. Technology is something which is developing almost on an hourly basis, so things which are creating cause now have dense chances of getting solved in the future.

Technological errors are related to limited answers. AI is a modern technique, that is why people keep high expectations from AI and as it has limited information stored in it, it fails to meet up with the expectations. However, this error can be fixed in the future.

Conversational error: AI is in the initial stage of development so it might be early to say that congressional errors are permanent errors of AI. Experts say that no matter how much improved technology we use, we cannot match the exact human-to-human conversation.

The two most significant points to note about conventional errors are

• It gets difficult with AI to discover, afford, and constraint
• Certain types of information can not be easily conveyed through words.

How to overcome the problems

So as mentioned above, technological errors can be fixed however conversational problems may be hard to solve. So to solve the errors related to technology we must go to start.

Communication between humans and computers and devices is not a new concept. AI and human interaction can also improve if we go back and study how we communicated initially we can find many solutions.

We started communicating with machines through specific languages and later in we started to improve it. In the same way, we just need to understand a modified language and we can solve problems related to technology.

However, it is quite hard for AI to think and integrate just like a human brain. So you can get useful information in a conversational form but you can never get a human to the human conversation from AI.

There are various other CUI and GUI which has a better understanding of conversational AI. We can try to combine both of them and create a smarter conversational AI in there. Using a graphical user interface and multiple modalities can surely help us in overcoming the limitations of conversational AI.

The future sure of AI can be developed and it will go hand in hand with humans but it cannot beat human intelligence and overpower humans.

Final words

Looking at the latest trends in business we can say that conversational AI can be the future of business. Conversational AI has various usability, advantages, and positive aspects to help us in growing. At the same time, conversational AI has certain limitations and we cannot use AI to solve each and every problem.

Conversational AI is still in its developing stage so it is hard to predict its exact potential. However, we can minimize those limitations by incorporating interactions from the graphical user interfaces and multiple modalities.

So we can conclude that conversational AI will play a vital role in the development of business and industries. It will never be able to take the place of humans as it will never be able to match the human brain. So the new face of development will be humans and conversational artificial intelligence systems working together for the betterment of the world. It will never be a battle against humans and the conversational artificial intelligence system.

What do you think about the conversational AI future? Let us know in the comments and also Inform us about the information you got through this article. If you have any queries related to AI then we can ask them. We will try to bring such information in upcoming write-ups as well.

Don’t forget to give us your 👏 !

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Why will Conversational AI be More Popular in the Future? 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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Artificial Intelligence reveals a vital role in the development process of conversational AI. With the advent of the digital platform, it’s time to revamp your business for the best customer engagement through conversational AI. Unlike monotonous Chatbots, in the conversational AI technologies customer appreciate using interactive responses using — chats, voice messages, natural language interfaces, and more. Gone are the days where realtors kept on moving from pillar to post to explain and close the deal.

You have all the queries answered in one place through smart AI-powered bots. Over the past few years, there has been a collaborative effort by several realtors across the globe like Zillow, Trulia, and more to display as digital intermediaries in the real estate marketplace. However, quality matters for your customer engagement platform. As a business, when you think of your customers, you want to deliver the best customer experience. This is where Nuacem’s AI-powered suite provides seamless support for your business.

Nuacem provides you the best contextual bots which respond to your customer 24/7, and you have peace of mind. It is customizable and easy to integrate with any of the CRM like Salesforce, SugarCRM, and more.

Real estate business with Conversational AI:

• AI has progressed businesses on a massive level, and everybody is leveraging it to come up with the most suitable resolution to it. To make it easy for clients to understand it, real estate has the following benefits with conversational artificial intelligence.

Computerization:

• The chat platform is one of the most crucial communication platforms between clients and organizations. The real estate sector is now embracing conversational AI to ensure that enterprises succeed with proactive and sensible communication with their customers. With AI-powered smart chatbots as a communication mode, the company’s website has become easier for a better customer engagement model. Today, customers don’t have to linger for 24 hours to get a response from the business pertaining to any query.
• Conversational AI has made it easy for them to get answers within no time. Additionally, the potential buyers can simply raise queries, and Nuacem’s smart chatbots will send out the reply instantaneously. Smart chatbots store unique queries. It also stores the frequently asked questions. As it performs the 24/7 customer services that have made it a faster preference for your customers.

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

Customization:

• The conversational AI performs astonishingly well with the pattern depending on the client’s behavior. The Chatbots are well trained through NLP (Natural Language Processing) supporting the personalized conversation to facilitate as per customer choice leading to capture the leads automatically.
• Along with the intent analysis, frequently asked questions can quickly help the client to select the desired queries. But it must be handled in a smarter path to undoubtedly drive potential buyers towards a deal of their choice offered by your business.
• The best part is that it doesn’t involve any manual interference. Intent analysis and utterances can be grasped swiftly by Nucem’s bots. This will reach the interest of buyers as per the suggestions.

Data breakthrough:

• Basically, the client doesn’t have extra time or patience to wait for a longer time to get detailed information for a particular property detail. If your customers feel that your websites take longer than normal time, then they would immediately switch to the different sites or the providers online. Smart chatbots are automated tools that can effortlessly connect with the database and provide information in real-time to your customers.
• Conversational AI provider like Nuacem gives remarkably several data at a fast pace which would enable the potential client to close their decision right at the first go.

Qualified Leads:

• As part of the best customer engagement, the fact is that, if a client gets prompt replies, then it will spark their interest in the site in a big way. Consequently, they will be more interested in your business website. Smart chatbot plays a crucial role in boosting the interest of customers. Nuacem’s conversational AI has made it easier to accomplish than expected with the best customer engagement platform. More importantly, smart chatbots can quickly get you the prospective leads that might not be possible with manual chat.

Decision

• Conversational AI is turn out to be the most powerful tool that experts have ever devised. Real estate businesses have a valid fit with conversational AI as it entails lots of cyclic human responses. To overcome these challenges, Nuacem has come up with the most sought smart bots which take care of all queries and have the capacity to manage stand-alone even without your manual intervention with a precise response.
• To the real estate industry, Nucem’s AI-powered suite offers a bunch of unique functionalities assisted by NLP and machine learning as a powerful component with a proven track record. AI-powered chatbots are cost-effective for several queries that make property business a cost-effective walk. You may have several choices with you to finalize your decision and why not to compare. However, when it comes to quality, you may ask for the Demo anytime anywhere before you finalize it.

Don’t forget to give us your 👏 !

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How Conversational AI is Transforming Real Estate Business was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Creating a live chatbot for your website (Part 1): Setting up Rasa chatbot locally on your system

Hello! This is the first part of a 3-part series involving creating and deploying a chatbot for your business or personal website using Docker and Heroku. The conversational AI platform I would be using is Rasa. Rasa is an open source machine learning framework that helps you create chatbots; it also happens to be my favorite chatbot platform for several reasons, such as it being open sourced, widely used and well documented.

In this post, I will be talking about how to setup Rasa locally on your computer. Although my OS is Windows, this entire process can be replicated for any system.

Prerequisite:

1. Download Anaconda Prompt from here.
2. Download Microsoft build tools here.
3. Create a directory on your system where your would like to store your Rasa project.

Once all of that has been done, open the Anaconda Prompt application and ‘cd’ into the directory you created, mine is called ‘Rasa Project’.

Then run the following commands in Anaconda Prompt:

1. Create a virtual environment using the command below.

conda create -n rasavirtualenv python=3.6

2. Activate your environment using the command

conda activate rasavirtualenv

3. Install Ujson

conda install ujson==1.35

4. Install Tensorflow

conda install tensorflow

5. Install Rasa Open Source.

pip install rasa

6. Create a new rasa project in your project directory

rasa init

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

Looking at the last part of the screen above, when asked to enter path you would like to create project, enter the period sign (.), this signifies that you would like to create project in the current directory. When asked if you would like to train model, you can either choose ‘y’ or ‘n’.

After the command above finishes executing and the new project has been created, you will be asked if you would like to speak with the chatbot in the terminal. If you answer yes, a dialogue will begin between you and the newly created chatbot.

Now that the project has been created, if you check your project directory, you will see that several files have been added to it. I will quickly discuss 3 files that I feel you need to understand their content; the file domain.yml in the main directory, and the files nlu.yml and stories.yml in the data folder.

The nlu.yml file is where all the training data is stored. The training data are sample messages that users can send to your chatbot. In this file, the messages are categorized according to intent. An excerpt from the file can be seen below. As you can see, intent : greet has several examples e.g. ‘hi’, ‘hello’, ‘hey’ etc. Intent: goodbye has examples ‘bye’, ‘goodbye’, ‘cu’ etc.

nlu:
- intent: greet
 examples: |
 — hey
 — hello
 — hi
 — hello there
 — good morning
 — good evening
 — hey there
 — let’s go
 — hey dude
 — goodmorning
 — goodevening
 — good afternoon
 — Hi there

- intent: goodbye
 examples: |
 — good afternoon
 — cu
 — good by
 — cee you later
 — good night
 — bye
 — goodbye
 — have a nice day
 — see you around
 — bye bye
 — see you later
 — Adios

The domain.yml file defines the scope of your project. It contains salient information about your project, such as intents, entities, slots, actions, and most especially, the sample responses that the bot should send back to the user when it receives a message. Similar to nlu.yml, bot responses are categorized according to intent. For example, the response: utter_greet is sent whenever the bot wants to send back a greeting to the user. This is shown in the code segment below.

intents:
- greet:
 use_entities: true
- goodbye:
 use_entities: true
- affirm:
 use_entities: true
- deny:
 use_entities: true
- mood_great:
 use_entities: true
- mood_unhappy:
 use_entities: true
- bot_challenge:
 use_entities: true

entities: []
slots: {}

responses:
 utter_greet:
 — text: Hey! How are you?
 — text: Hi! How are you doing today?
 utter_cheer_up:
 — image: https://i.imgur.com/nGF1K8f.jpg
 text: ‘Here is something to cheer you up:’
 utter_did_that_help:
 — text: Did that help you?
 utter_happy:
 — text: Great, carry on!
 utter_goodbye:
 — text: Bye
 utter_iamabot:
 — text: I am a bot, powered by Rasa.

actions: []
forms: {}
e2e_actions: []

The stories.yml file brings the user’s messages and bot responses together. It creates a storyline or a plot of the several interactions that can occur between the bot and the user. It specifies what response the chatbot should give based on the intent of the message sent by the user. This helps teach the chatbot what to do in different scenarios. For example, looking at the code segment below, if the chatbot receives a message with intent ‘greet’, it has to perform the action which sends the response ‘utter_greet’ back to the user.

stories:

- story: happy path
 steps:
 — intent: greet
 — action: utter_greet
 — intent: mood_great
 — action: utter_happy

At this point your chatbot is only able to handle very basic and generic conversation. In order to fit your personal or business needs you need to make some changes to the default chatbot. You can do this by modifying the content of the nlu.yml, story.yml, domain.yml files mentioned above using a text editor. However, the best way to make these changes is through the platform Rasa X.

In the next part of this three part series, I will be talking about how to modify, train and test your chatbot using Rasa X. You can find the post here!

If you like this post, HIT Buy me a coffee! Thanks for reading.

Your contribution will encourage me to create more content like this.

Don’t forget to give us your 👏 !

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Creating a chatbot for your website (Part 1): Setting up Rasa chatbot locally on your system 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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