Category: Chat

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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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Here is how you can Earn a Free Ticket to Day 1 of the Chatbot Conference

Great news! For the next 5 Days we are running a Free Ticket Giveaway.

This will give you a Free Ticket, valued at $199, to Day 1 of the Chatbot Conference on May 25th, 2021.

Taking advantage of this offer will only take you 10 minutes!

How to Get Tickets in 3 Steps:

Step 1: Follow us on Social Media

• Twitter: https://twitter.com/Chatbots_Life
• LinkedIn: https://www.linkedin.com/company/chatbotconference
• Facebook: https://www.facebook.com/ChatbotConference

Step 2: Like

• Twitter: Like & Retweet this Tweet
• LinkedIn: Like this post
• Facebook: Select Interested & share this post

Step 3: Share our Event (We made this super easy by providing the link to be shared and optional text)

• Twitter: share this post
• LinkedIn: share our event
• Facebook: Click and Share

Optional Text: Can’t wait to go to the #ChatbotConference Online on May 25! Really looking forward to talks from Google, Salesforce, CoCoHub, and Rasa. There are only a few spots left, join me before tickets run out!

Once complete, email me screenshots at stefan@chatbotslife.com and I’ll send you a free Day 1 Pass (value: $199) for the Chatbot Conference on May 25th!

Looking forward to seeing you there!

Cheers

Stefan

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Chatbot Conference Free Tickets Give Away was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Over the past few years, chatbots have become an integral part of our lives when it comes to interactions with businesses. More companies rely on conversational solutions for better operations, lower costs and an easier recruitment process, so it doesn’t surprise anyone that chatbot market size is projected to grow to $10.5 billion by 2026, according to recent research. However, virtual agents can help organizations and projects that we usually do not view as tech-savvy. We’d like to explore how nonprofits and social responsibility projects, whose budgets are often tight, put Conversational AI to good use and make the most of it.

Conversational agents to the rescue

Even though it’s becoming more common for corporations to support nonprofit and charity organizations, most of them exist only because regular people like us make donations or help in some other way. So, nonprofits must establish proper communication with potential donors. And conversational agents can be of great help here.

For example, Upsala Circus, a nonprofit organization that comprises a professional theatre group, inclusive performance projects, and classes that socialize troubled or foster teens through performance arts, decided to get to know people who donate on their website. So they built a chatbot using chatbot builder Aimylogic by Just AI, which gathers information from the website visitors conveniently and securely: who they are, what kind of support they can provide, what kind of questions they have, also providing further instruction. Part of a long-term strategy, this chatbot will help the nonprofit make a donor segmentation and build communication properly. If someone is looking to be a volunteer, it hardly makes sense to explain how to donate money.

Getting more people to donate or make those donations recurrent requires reaching out across a variety of channels, and voice here seems to be one of the most natural ones. Alexa donations, for example, list 337 nonprofits — from American Childhood Cancer Organization to Children’s Miracle Network — that allow users to send money to charity via Amazon’s voice assistant. Some nonprofits create voice skills to encourage donations — for example, Need Help charity foundation that helps to raise funds for other nonprofit and charity organizations, launched a voice skill for Yandex’s voice assistant Alice (#1 voice assistant in Russia). Named “A Rouble a Day,” the voice skill enables users to choose from over 150 nonprofits and make a regular donation. To encourage smart speaker users to donate, voices of popular actors and media personalities explain why even such a small but regular sum can make a big difference.

Building communication with donors is also about being accessible across a variety of channels. Being in touch 24/7 is challenging even for regular businesses, but it’s especially tough for nonprofits as it requires extra staff. So, here’s when conversational agents and smart skills come into play — they can address the most frequent questions, navigate website visitors and offer necessary instructions. For example, NRDC uses an Alexa skill to help people avoid throwing out good food. The Save the Food skill offers advice on storing food to last longer, checking whether it’s still good, and even reviving food that’s past its prime. Among the users of Aimylogic chatbot builder, there is a nonprofit waste sorting project supported by IKEA named Rules of Sorting. They designed a social messenger chatbot to advise users on what kinds of plastic can be recycled, which recycling stations accept certain kinds of waste, and help users locate them.

Conversational agents can also become an interaction channel for those who cannot communicate verbally due to physical challenges. A great example here is a social responsibility project by professional haircare brand Indola, which is part of Henkel. Their chatbot enables hearing-impaired hairstylists to consult their clients online. There is also a chatbot called Mera Mitra, that serves as a companion for persons with disabilities, providing all kinds of the necessary information. Designed by two Indian developers, this chatbot is available in Google Assistant and Facebook Messenger.

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

Why use Conversational AI?

Many charity organizations are successfully adopting conversational technologies: launching voice skills, chatbots, and even bespoke voice assistants. For those weighing the pros and cons of Conversational AI (CAI) projects, here are a few ways they can create value for nonprofits:

Automating communication

Full-time contact centers require a lot of resources, but nonprofits and businesses can efficiently use AI-powered conversational agents to automate communication with donors, website visitors, or just about anyone. Chatbots and virtual assistants can answer FAQs and address most common user queries, being available 24/7 across multiple channels.

Adopting new communication channels

Voice is yet another channel to communicate with the audience. So a skill for a voice assistant is a great way to tell people more about your organization or campaign, encourage users to donate, or conduct a survey.

Getting to know your audience

A chatbot can greet website visitors and start a conversation. This way, nonprofits can find out more about people coming to their website and build further communication more efficiently.

Reaching out en masse

Automated voice bots or text bots are crucial when you need to contact many people at once: be it a volunteer instruction, a new member registration campaign, or informing visitors of your charity event about the details.

Things to consider before starting a CAI project

First, it is necessary to understand that conversational AI agents are no panacea but rather a tool that, if used wisely, can improve certain processes over time. But, just like any tool, it needs to be created first and then constantly taken care of. Before you start working on this tool, please consider — what is it you want to achieve? Improve user experience, survey donors, or automate FAQs?

Think about the resources you have to create the bot — as it’s a full-blown IT project. Even when complete, the bot requires further training and honing — only in this case will it become truly smart and address most queries properly.

Another important thing is the bot’s efficiency because there are quite a lot of things that will define it and those need to be considered before any actual work is done:

What channels your bot will serve

A bot can be implemented anywhere — from WhatsApp to Facebook messenger, to Alexa. Some channels are quite similar, while for others you might need to create an entirely new UX scenario. Depending on the chatbot software you choose, you might need to create custom bots for every channel unless this tool allows for multichannel integration when you create a bot once and then deploy it across many channels.

What chatbot software you should choose

There are many kinds of chatbot software — from no-code visual bot builders to advanced platforms. It all depends on how much you’re willing to spend on your bot and the manpower you have at hand. Of course, the low-code chatbot builder options are great for short-staffed nonprofits, as such projects do not require a professional developer at the early stages.

Will you have the resources to continue training your bot

Even after your bot goes live, you’ll need to keep analyzing bot-to-users interactions to improve it. And there’s always something to improve when it comes to conversational agents. Launching a bot and forgetting it exists for a year, means you’ll have your time and money wasted.

How many topics your bot will cover

Even a small nonprofit will have many topics: donations, volunteering, to many other ways people can help the organization. There will also be topics that a bot is not supposed to address — usually, those requiring empathy — and should be able to transfer those to a human.

To sum it all up, conversational tech is advanced, diverse, and offers tools that require little to no coding skills. And, as long as a company understands what it wants to achieve with a conversational agent, it can start a CAI project on its own and then grow it evolutionarily.

Don’t forget to give us your 👏 !

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Conversational AI For Good: How Nonprofits Use New Tech was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

With millions of people forced into working from home by the current situation, companies are finding ways to keep teams connected across the globe.

One tool is quickly emerging as the most popular of the remote collaboration bunch: Slack.

Slack has a treasure of bots and apps, and integrations, that can be used to make daily efforts in the workplace easier.

In this article, you’ll find 17 Slack bots to build an amazing team culture, increase engagement, and improve collaboration:

1. BirthdayBot

BirthdayBot is the app to keep track of office birthdays and anniversaries. BirthdayBot keeps everyone informed about upcoming birthdays. It also ensures all the members of your team get a proper b’day celebration!

2. Trivia

Trivia is the new way to connect with your remote team while playing exciting quizzes on Slack and Microsoft Teams! Get summarised results at the end of every Trivia quiz and find your very own Quizzard!

3. Moodbit

Are you looking to increase employee engagement? Have you ever dreamed of having a highly engaged and productive team? Moodbit is definitely the right app for your team.

Moodbit is an app for everyone in the company: managers, employees, executives and more. Moodbit helps to provide a clear understanding of what is going on in the workplace.

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

4. Icebreakers

Icebreakers helps you to get to know your coworkers. Icebreakers nudges your teammates on Mondays to share about their weekend highlights or fun links, and another day later in the week with a rotating question. Questions range from light-hearted to thoughtful.

5. EngageWith

EngageWith is an employee recognition and rewards platform that enriches your company culture. It virtually brings recognition and fun within your Slack and MS Teams workspace. With EngageWith, everyone across your organization can publicly recognize everyone else by giving points that add up to valued rewards (employees can redeem their points).

6. Niles

Niles is a wiki bot that organizes your team’s knowledge and answers common questions directly in Slack. What if he doesn’t know the answer? No problem, Niles will suggest adding it to the knowledge base for future reference.

7. Lunch Train

Lunch Train makes planning lunch outings with your team simple and pleasant (and, dare we say, fun). Want sushi for lunch? Start a Lunch Train with a quick slash command, and your teammates can easily board the train and receive a reminder when it’s time to depart.

8. GreetBot

It greets people. It sounds simple, but GreetBot is your onboarding assistant for Slack. In a few easy steps, it helps you make your colleagues, collaborators, customers and community members feel welcome and informed when they join your workspace.

9. Slido

Slido brings to Slack an easy way to capture and address your team’s most burning questions and ideas. Companies use Slido at their meetings to involve their employees in the conversation and keep everyone on the same page.

10. bob

Hibob is a people management platform on a mission to improve the employee experience. Connecting to Slack seamlessly enables bob highlights such as daily digests and shoutouts, updates on real-time events, and a command center for quick questions.

11. Water Cooler Trivia

Water Cooler Trivia makes the work week more fun with weekly trivia contests that the whole office can participate in. The conversations sparked by trivia bring people together.

12. Pinpon

Pinpon helps keep track of every ping pong game your team plays. Challenge your colleagues, record games and keep an eye on your rank all within a simple text-based interface.

13. Carrot

Slack teams use Carrot to share important news, updates, and decisions nobody should miss. Slack teams use Carrot to share important news, updates, and decisions nobody should miss.

14. RandomCoffee

RandomCoffee creates targeted connections between employees at work with a unique matching platform. Create automated employee-matching campaigns and generate hundreds of targeted introductions in a single click.

15. WFH Surveys

WFH Surveys helps you take feedback from your remote employees via AI-enabled interactive chat. This slack app asks questions about employee well being, team coordination and challenges faced during remote working.

16. Max

Max is a fun, useful bot that lives in Slack. Max asks for feedback, starts discussions, offers mentoring, and delivers recognition. Use our AI Assistant to automate engagement.

17. Butterfly

Butterfly helps team managers improve their emotional leadership by keeping a trace of their team’s happiness through open communication consistent, feedback loop and artificial intelligence.

Don’t forget to give us your 👏 !

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17 Fun Slack Bots to Build a Positive Office Culture was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.