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5 Chatbot Uses For Air Conditioning Companies

These 5 uses of chatbot is dedicated to everyone who is involved in air conditioning business homes, businesses, and projects.

To be successful with your target audience, the first rule is building a trusting relationship and valuable engagement. So, the client will be connecting with you in different ways to get your services. The engagement must be quick and supported 24/7 regardless of working hours.

The chatbot could be implemented for different aims: starting from internal staff communication up to content marketing.

With that in mind, I deep-dived into this type of business and found out 5 uses of a chatbot that would work best for you.

Service request

As you are an air conditioning equipment company, you get many requests regarding technical issues or conditioning implementation. These requests could be held by chatbot: accepting, selecting and passing to appropriate specialist or department. Then after a request for service, a chatbot provides service status to assure the client that his or her needs will be covered.

Complaints and feedback

The customers knows that in the event of any problem, they can report and get feedback from a chatbot. Get customer reviews and feedback on your air conditioning services and improve their experience. As a result of trust-filled relationships, clients will get back always and use your services again.

24/7 customer support

Despite different Australian time zones, your customer will get feedback at any time (even if your account manager is sleeping:). After chatbot implementation, call centers’ workflow is reduced by up to 50 percent. The reason is that customers’ desire to write about a problem rather than call a support representative. This is the most popular scenario of using a chatbot in business. You’ll get both happy call center staff and satisfied clients. Nice!

Sales

The most valuable chatbot benefit. Clients can order your air conditioning services and delivery through messenger or web widget. There is the last trend that works: selling services in an environment where your target audience lives: Facebook Messenger, WhatsApp, Kik, etc. You can insert into the messenger where your bot is and a payment method and then get more revenue. Just let your customers know about the new way of communication and shopping. To get more information, read Top Chatbot Benefits: Chatbot as a New Sales Channel for Small Business .

Besides sales, your clients could book an appointment to implement air conditioning system in messenger. Chatbot offers the service, time for implementation and staff (if it is possible). Of course, you can always add more chatbot features in messenger.

Internal communication

For your quick growth, a company that has more than 550 employees, internal communication is a priority of teamwork. Chatbot in company messengers (like slack) coordinate workflow, assigns tasks, accepts the results, notifies regarding birthdays, upcoming events, unfinished tasks. So, a chatbot could be a global company project manager.

Please, take a look again on these benefits. Just imagine how much stuff you need to cover all the actions mentioned above, Not to mention all the money wasted. All of these tasks could be handled by a chatbot. Saving time and money there! 🙂

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How To Use Chatbots For Logistics And Transportation: Opportunities and Benefits

Conversational Artificial Intelligence is shaping the future of Logistics Interactions. With Chatbots and multi-channels integrations, businesses can meet their customer’s expectations by resorting to a new and improved way of interaction. Therefore, more businesses in Logistics are adopting Logistics Chatbots and leaving traditional transactions behind in the dustbin. This increases efficiency across the entire logistics value chain.

Let’s see how chatbots help to improve business and customer engagement in these industries – logistics and transportation. 

 

REAL-TIME ORDER TRACKING

In logistics, the confidence of order visibility and its status is important in customer service. Bots avoid the long offline queue and provide real-time tracking of the order. Instead of offline walking to places, the customer can simply use the messenger and ask the chatbot, “Can you share the shipment status now?”

FAQ

Mostly each logistic and transportation application have the FAQ with providing automated answers on the common questions. It’s a good opportunity to reload the workflow of call centers and let them concentrate on non-routine and more important tasks. 

SHIPPING CONDITIONS

Besides FAQs, the end-client gets the opportunity to prepare the things he wants to transport or get according to the internal rules of the logistics company. This avoids situations where the clients get uncomfortable conditions for transportation in delivery offices.

ASSIGNING TASKS

When the chatbot gets a request to make the transportation, or the user has already registered a shipment, it assigns further actions to the appropriate staff. Also, the chatbot informs the end-client about this request status. Moreover, the chatbot is able to complete the simple and routine tasks by itself.

BOOK DELIVERY

The chatbot helps to book the place for shipment, time and tracking map online. Users provide all information regarding items he wants to transport, make payments online and the courier just takes the pack without filling any papers.

FEEDBACK & COMPLAINTS

Create the possibility to leave feedback, or send a request to improve the product or service. We recommend making a chatbot for accepting the issue and showing its status. When the client feels that sweet calling, he’ll come back to you.

AMEND AN ORDER

The end-customer can change the delivery via messenger, just by putting in the tracking number. Chatbot helps to review the conditions and provide status. 

As a personal assistant and corporate helper, the chatbot provides a quick service and is always ready to supply the necessary information and conduct simple tasks. Contact us and let the virtual assistant complete a portion of routine work and make your internal staff and clients happy.

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Get The Chatbot Working And Earn Money Now!

How To Make Money With A Chatbot!

Have you ever noticed that chatbots have become all the hype a few years ago and businesses implemented it mostly to follow the latest trend? And it doesn’t work for them… They followed the trend and got nothing. Since then have appeared oodles of articles like, “the hype is gone”, “bots don’t work”, “chatbots kill your business”, “chatbot scares away clients”, “chatbot kicked my dog” etc. 

You find below a list of the rock-solid ways how to monetize your chatbot.

If you are at the start of this learning journey as to what is chatbot and why you need this for your business, Read up on the following articles for your knowledge enrichment.

Chatbots for Business: Top Benefits and Success Measurement

6 Types for Chatbots: Know Which One Brings Value to Your Business

How Much Does It Cost To Build A Chatbot In 2019?

If you’re running a chatbot project, take a look at the free AI Chatbot Management course.

 

Lead Generation for making money

When the leads come to you, let chatbot do its part to turn the prospect into a client. Marketing campaigns, ads, emails, targeted content is all about the right chatbot for your business.

Chatbot qualifies leads via a short survey (location, needs, requirements, budget etc.). All responses become a part of the user profile and chatbot pass the lead to the appropriate department. 

Chatbot as a landing page

This way to monetize chatbot is associated with the paragraph mentioned above. These type of chatbot helps not only collect leads but also increase conversation and boost engagement. 

Content of value to increase conversion

Personalized content makes sure the client that vendor cares about his needs. This journey starting from awareness up to decision the clients take before the purchase. Good content makes this way shorter and leads to a decision from the “ready” client. Throughout this journey, accompany the clients with relevant information to help them make the right decisions.

E-commerce platform

Direct sales are the main way to monetize your chatbot and grow revenue. Warning: we don’t recommend to make an Aliexpress-like platform, but use a chatbot for selling a few main services. Besides direct sales, the chatbot makes cross-selling (based on previous chatbot purchase and behavior history). As an additional option, implement a payment system like Visa (we recently implemented a few projects with Visa and have satisfied clients) and provide the full sales cycle with a chatbot (saving money and clients’ time). 

Feedback and complaints to increase loyalty

Have you ever seen that dissatisfied client come back to the vendor again? That’s like a piece of art! Create the possibility to leave feedback or send a request to improve the product or service. We recommend making a chatbot for accepting the issue and showing its status. When the client feels that sweet calling, he’ll come to you again.

As can be seen, the chatbot is the most valuable tool for boosting business. Hope you have found the best way to monetize your money or all of them works for you 🙂

If you’re not sure of how to implement a chatbot for your business or want to build the best one, contact us and we will schedule the demo to show you the best option. 

 

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How To Build A Scalable Chatbot Architecture From Scratch 

In this publication series, we’re going to cover our best practices used during developing IT projects. If you’ve ever had thoughts about developing chatbot and conversational platform for your business  —  you’re in the right place, because today we’re going to start from the very beginning of any project  — architecture.  We hope that everyone will learn something useful and valuable in this publication. 

Moving right along, we strongly recommend you to separate chatbot module and conversation logic from the rest of your back-end system. Later we will find out why it’s important, prudent and how this can be beneficial for your project.

Let’s imagine that our imaginary chatbot project’s main goal is to deliver visualization of trading stocks data. In this case, we will need a module for fetching, storing and visualizing information. 

The microservice architecture will be more beneficial, as it ensures decentralization and the ability to easily connect separate entities. Moreover, scalability and speed are the other two key factors that will definitely impact chatbot performance. Therefore, it’s obvious that separating each module as a microservice in our architecture makes sense. Moreover, it’s profound and important to have each module scalable and resistant to high loads.

In fact, a conversational interface as a mobile app, messenger or even custom web chat – is potentially one of the future possible solutions for this issue that will ensure handy user interaction. Imagine the situation when you have defined everything in one module? So, how would you scale and encapsulate the business logic, when it’s mixed with conversation flow? In this case, it’s profound to separate REST API and NLU/NLP modules to provide the chatbot architecture with higher flexibility, as in the example below:

As you can see, it’s pretty easy to add new interfaces if you have seen anything about dividing the project into 3 or more major modules: Rest API, entire conversational flow and NLP/NLU usage. Now let’s talk about each architecture module in detail.

Chatbot Interfaces (front-end)

Surely the frontend of the bot plays an indispensable part in our project. Webchat on the website serves as the interface through which users can interact and talk with the bot. We really prefer using own web-widget, that has lots of advantages, amongst which there are:

Customization

Certainly, Facebook, WhatsApp, Slack or many other platforms are widely used, but they all have lots of restrictions of controllers you may use. So, the user will see only predefined, limited and equally designed for concrete platform calendars, buttons, notifications, file uploaders, and viewers.
In contrast, we may create as many as needed of our own custom elements, designed in colors, forms, and sizes, as our imagination allows.

Dynamic interaction

It’s a matter of fact. Users want to get the most when it comes to using bots. Sending not a static picture, but rather a rendered HTML chart, that looks like a picture with clickable inner elements — is the feature that attracts and makes our bot stand out among the rest.

AWS Lambda + AWS API Gateway

In our system, these notions stand for the core API of our system.
It’s not a secret that one of the biggest strengths of AWS Lambda functions is the reduced cost of execution. In a traditional web application, with code hosted on  and accessible through  an EC2 machine instance in AWS, you need to pay for the server usage regardless of the fact whether your API is actually in-use or not. The cost of the idle-time can be very high, depending on the instance particulars you’re working with.
As our project is not hosted on a specific server, we also considerably reduce the risk that our machine might break down. It can be easily substantiated: we aren’t obligated to rely upon a single machine to perform all the tasks of serving the app and executing the code . If one machine goes down, the process of replacing it is handled automatically by AWS. In other words, AWS “cares” for a problem instantly and our code doesn’t miss a beat.

AWS ElasticCache Redis

In our project, it’s users for the highly scalable caching system storing temporary data(cache, tokens, API calls counter, etc.). So, it’s not so “expensive” to make the same API calls or access databases with repetitive queries dozens or hundreds of times a day. However, it can be challenging to get it working with AWS Lambda. We’ll prepare an entire publication on this topic on the next series. Stay tuned 🙂

AWS DynamoDB

It offers built-in security, backup, and restores, as well as in-memory caching. Furthermore, it was extremely easy to implement it into our current system.

Main reasons why we use it:

  • Fast and owing single-millisecond latency
  • Integrated with most of AWS Services such as IAM, CloudWatch, etc.
  • Autoscale and elastic in nature
  • Virtually infinite storage 

AWS EC2

Being in the process of cutting usage down as much as possible, AWS EC2 is still used for the static images generation due to AWS Lambda limitations. The main usage of it is based on the FusionCharts and uploading pictures, as well as infographics generation. But this point is highlighted in the next chapter.

In the first version of the chart, targeted for static image generation, we used Export and Upload service developed by FusionExport team. The rendered HTML is literally screenshotted, uploaded to the AWS S3 service that prevails over others due to the security, low cost, and scalability. For the same reasons, AWS S3 was used to store widget plugins and admin-pages for our project.

Let’s draw an interference from all above-mentioned:
To a certain extent, using AWS services makes the mind of the developer free of redundant anxiety regarding the machine “life.”
Mulling over correct architecture in advance plays a pivotal role in the project development.
Using Lambda + API Gateway definitely prevails over EC2 machines, as AWS automatically defines select new instances when it’s needed, so the application is an endless-liver.

In the next series, we’ll talk about using different charts services, caching process, experience, and comparison of a couple of other platforms we used. Stay frosty!

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16 New Places Where Chatbot Companies Could Share Content and Get Inspiration – 2

New Places Here!

Over the last few years, it’s been shown direct advertising doesn’t work. Period. Full stop.. Especially if your target audience is millennials (they have advertising blindness).

Content works best of the best. Sharing relevant and valuable content makes you into an authority for your industry. But writing great content isn’t nearly enough for successful blogging. Not by a longshot. Having good-quality and a unique blog can’t bring your audience without promoting in the target places and building a following.

The challenge is to find the right channels for getting traffic and lead generation.

share-content

As a B2B company, dedicated to chatbot development, we cherish inbound traffic and research the best ways to get it. Recently our embedded analytics shows that social media is the best traffic provider now after search organic. Why don’t you use this way to promote your great content?

For all marketing specialists and everyone else and their dog, who are working in chatbot development and want to be inspired to create new ideas, I put together the 16 places where you can share topical content.

A year ago I made the same with popular places where are chatbot audience for 2018. Take a look and compare with new sources Where Chatbot Development Companies Could Share Content!

Let’s dive in…

We can’t claim that the list is full and the only one works, but taking into account our experience, we are confident that these sources bring value.

How did I rank the communities?

  • Target audience related to Artificial Intelligence, chatbot development, business automation, Tech, Digital Marketing
    Vital community (at least 2 posts per week)
  • Communities’ description takes from its Facebook and LinkedIn accountants.

share-chatbot-content

Facebook Groups

Chatbot Mastermind Group – this group’s focus is on sharing the latest chatbots information.

Digital Marketing – (SEO, SMO, SEM Jobs) – digital marketing techniques such as Search Engine Optimization (SEO), Search Engine Marketing (SEM), Content Marketing, Influencer Marketing, Content Automation, Campaign Marketing, Data-Driven Marketing and e-Commerce Marketing, Social Media Marketing, Social Media Optimization, e-Mail Direct Marketing, Display Advertising, e–Books, and Optical Disks and Games are becoming more common in our Advancing Technology.

Bot Community – Chatbots, AI, Marketing Bots, Digital Marketing, Etc. (CS) – discuss chatbots, AI, NLP, Facebook Messenger, Slack, Telegram, Discord, Chatfuel, Kik, SMS, WeChat etc. Talk about what you’re working on. Get the best bot for your Facebook Page. Learn how to make Bots. Buy bots and more. Please Read the Pinned Post after You Join.

Chatbots Community in Ukraine – official Ukrainian community for everyone who is involved in chatbot development.

Botpreneurs: Successful Bot Companies – closed FB group for bot entrepreneurs to learn from one another about what’s working (and what’s not) in growing their bot biz.

Bots for Business – this group focuses on discussing the benefits and the possibilities that bots bring to the other side of the equation — businesses serving those billions of text-driven consumers.

ChatBot Marketing Experts- FB ManyChat ChatFuel Chatcast GrowthBot Chatbots – the main group goal is to enhance your chatbots marketing expertise and optimize your chatbot funnels.

SaaS Products & Marketing – this group was created for sharing tips, strategies and case studies about SaaS products.

LinkedIn Groups:

Chatbot Developers – technologies or business for chatbots, dialogue systems or virtual agents

Chatbot Discussion – sharing all chatbot news and encouraging discussion about this fast-growing sector.

Chatbot group: flow design and copywriting – this is for anyone interested in the methods behind dialogue writing, flow design and conversational UX. Everything about having a good conversation, except the software behind it.

New Technology | Innovation | Chatbot | IoT – the group is a community for entrepreneurs, management staff, startups, investors and other like-minded individuals to join, share ideas, and connect.

Chatbot Community – discuss anything related to chatbots – news, latest chatbots launches, development, interesting use cases, technologies related to chatbot (Artificial intelligence, NLP, Natural Language Processing etc) are all welcome.

CHATBOTS – a group for Chatbot industry where chatbots make a significant difference by being able to converse about expertise and particular knowledge. Virtual experts, virtual assistants are also included.

Chatbots for Business – this group is dedicated to chatbots that leverage business either in e-commerce or CRM fields. You will read business cases or use cases, learn about AI technologies, about developer tools, you will get tips and advice on how to build your own chatbot in order to increase revenue and/or limit customer frictions.

Customer Experience Management & Artificial Intelligence – The CEM &AI Group is the largest CEM group in the world.

Well, there you have it: the 16 places for content sharing. Are there any places and communities I missed? Let me know in the contact button, smoke signals or via email.

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Chatbots in 2019: Enterprise Trends and Typical Scenarios!

One of the leading chatbot trends in 2019, is the implementation of virtual assistants for internal usage by enterprises. We envision this trend being ever more powerful during this year and the next. Let’s have a look at some typical cases and scenarios where virtual assistants could be useful for internal purposes.

The first and most commonly known cases are the automation of various employee self-service functions:

  • ordering / approving vacations
  • requesting access rights
  • getting the payment bill details
  • reporting business trip expenses
  • requesting business cards and etc.

 

The key value driver is saving employee time away from non-productive operations. That value could be even more increased in the case of employees out of the corporate network joining by a chatbot. We have seen examples when metallurgical holding, where 70% of employees do not have access to an Active Directory (mainly workers on the production floor) gained access to employee self-service via a chatbot. This leads to enormous (about 20% ) cost reduction as an HR support function, so employees started to address their questions via a centralized chatbot solution.

Chatbots are much loved by those corporate IT toiling away with the code. IT guys want to automate the resolution of IT requests and instead of registering tickets and directing them to the right  second line support teams are applying bots to handle standard requests and provide helpful self-service.

This new and powerful trend is the usage of a chatbot as corporate media. Imagine a company with ten thousand employees, where not all of them are using the PC in the workplace – how will you deliver the corporate news? Intranet portal, paper, maybe old school newspaper? A Bot in the telegram or Viber or Facebook could be a viable solution. The internal communication department could gain a powerful tool to deliver their messages quickly and at near zero cost.

Chatbots are also getting as popular as corporate virtual assistants, which provide access to relevant information inside the company, helping to manage the knowledge, find answers and experts in the large corporate space.

The examples above are focused on serving the internal needs of an organization, while we at Chatbots.Studio believes that most of the value of enterprise chatbots is created by serving the customers.

Chatbots are regularly used by our customers to get orders, be notified about new requests and the need to visit with a client, complete checklists and surveys after the customer visit and so much more. Almost everything automated by internal mobile apps could be handled via in-messenger assistants at a significantly lower cost, with the same tangible business benefits, such as improved employee efficiency (orders are taken per employee), reduced stocks, faster order processing, and higher NPS scores.

 

If you want to build the chatbot for your business, feel free to contact us and get the valuable offer.

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6 Types for Chatbots: Know Which One Brings Value to Your Business

In 2019, chatbots have a variety of capabilities and more than just one type just might be suitable for you.

It’s good practice to define what is the role of your bot, measure the value and compare it with existing services before the chatbot launches in the business. If the chatbot could solve the issues, set up better customer engagement or improve internal communication. It’s the right decision to begin its development.

We identified 6 possible business roles for a chatbot, depending on which function they serve:

  • Sales
  • Lead generator
  • Interface
  • Informant
  • Helper
  • Psychologist

As mentioned above, each bot could take on several business roles, so we are using this classification just to create a common language and definitions of chatbot practitioners.

A chatbot increases sales and cross-selling

Sales Chatbot is responsible for increasing sales. It has several ways of functioning. The chatbot could choose the right service or good, create the invoice, make a payment (need to be connected to appropriate API), track orders, push notification about payment status, and conduct cross-selling. Sounds kind of like this chatbot could help to grow your biz, eh?

A chatbot generates leads for your CRM system

The main purpose of this chatbot is to gather together the target audience in one channel and convert them all into the clients. It could work in combination with an informant role, for example. How does the chatbot behave? The chatbots can provide the following services: make an appointment, creating a loyalty card (discounts, special offers, coupons, promo codes, and more).

On the vendor side, the chatbot gathers all the appropriate information useful for creating advertising campaigns or special offers. Also, the chatbot can maintain the communities with content to keep a particular audience interested in the services.

A chatbot acts as an interface for engagement with clients

Chatbot interface gives access to other system functions. It accepts and processes the information, integrates with the company services through the API and passes a long the collected information.

If needs be, the chatbot authorizes the user by itself. Following engagement with the website services, the chatbot distributes the processed results.

A chatbot informs the customer of the available services

Informant makes the data search quickly and easily. The Chatbot could aggregate information from different sources and conduct push notifications to the user about changes in the interested services. It’s one of the most attractive options for your business.

A chatbot helps the customer

The Informant makes a data search quick and easy. The Chatbot could aggregate information from different sources and conduct push notifications to the user about changes in the interested services.

A chatbot acts as a psychologist

A Psychologist chatbot’s main value is a conversation with the user. It recognizes the user’s mood, problem and offers methods (probably yours) to avoid the stress, suicide, offers appropriate specialist, and play as a lead generator – bringing a new client to a psychologist.

Experience shows,  the right chatbot is one of the main values you can offer your clients, making them satisfied, so you get a chance to make a quick profit.

 

If you have doubts as to choosing the right chatbot, check out its possibilities in a variety of industries (click button “I don’t know what kind of bot you need”).

If you want to have a full list of chatbot values, customized for your business, contact us and we will describe all the ways on how to bring value with a chatbot!

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Chatbots in 2019: Predictions and Major Trends for Business

AI chatbots were everywhere if one were going by all the hype in 2016. Everyone who is involved in technology wants to be in on the know for what to expect next year and how chatbots will change the world.

Ever curious, I peeked into my crystal ball and checked out the current trends for chatbot development and business implementation, noticed that there are no significant changes expected in Artificial Intelligence. However, we will observe new landmarks that will change some aspects of chatbot development and business implementation. Without further ado, let’s consider the major new trends for the upcoming year!

Raising automated chatbot testing

Chatbots’ complexity is growing more and more each year. Full stop.

The real example being that bots are getting ever more intense. Now, it is not surprising to build a project which has about 100 intents and the complexity of conversation itself is 100s of decisions and condition points in the dialog.

You always should maintain a real case scenario to have to keep your bot updated. Also add new intents, new synonyms, branches in the conversation to save bot smart and usable. So the key question is: how do you ensure that everything is working in tip-top shape?.

We predict the rise of automated bots solutions. This you will enable you to automatically test a bot’s dialog and NLP.

The rise of bots for internal use for enterprises

Enterprise clients will be the major driver of growth of the chatbot development market. In many cases, the companies failed to onboard customers for their bots which are working out of these organizations. But the enterprises have a power for employees to use bots for internal purposes. That will be the key driver for market goals next year.

The main scenarios for enterprise bots would be the cases for sales personnel, HR interactions. But the question arose, “What is the main reason for using bots for automation business processes and instructions for enterprises?” The key driver is the cheaper cost of bots development comparing with mobile app development. That will cause the intensive growth of bots in the enterprises.

NLP and bot constructors will become the commodity

In ChatbotSummit, I recently saw dozen of solutions which actually do the same thing: NLP, NLU, building conversations in an easy way, integrating with any messaging platform and etc. Mentioned services become a commodity. Every provider seems to be able to provide the same and it becomes a just minimum required standard. There is no significant difference between DialogFlow, IBM Watson, Smooch, Rasa. So it seems many many startups do the same solutions.

The Ice Age of Facebook and WhatsApp will remain

We don’t expect significant changes to happen with Facebook and WhatsApp messengers. We would call it the Ice Age of FB and WA. In 2016 actually, Facebook raised such a huge amount of chatbots and now keeps silent.

My feeling, now it is very busy with solving own privacy security issues rather than development of the messenger platforms. It is major chatbot development companies keep focus for both website bots, SMS bots, mobile apps. In the upcoming year, we will see huge demand in such area comparing to initially expected Facebook messengers.

Data privacy: the doubts of reliability will dispel

Security or data privacy will become more and more relevant for big enterprises. There will be a big concern about letting large players like Google, Amazon or Microsoft own their conversational data.

It means in 2019, will appear more and more solutions to provide on-premise bot building solutions that guarantees data privacy for big companies that are concerned about it.

Most user download zero apps per month — that will drive to build more bots

The key methods for customer engagement are chatbots and mobile applications. Next year we will see that engagement via apps will fail. Actually, no one downloads the apps. No one wants to use up phone memory.

Instead of that, end-customers will engage with your system or buy goods/services via chatbot. Why? Besides the usual services that chatbot provides (push notifications, direct communication), it is a simple way to start/stop engagement without additional actions. It will be a motivation into the next year.

The User support platform includes engines for chatbot or holds the integration

Despite the personal data gathered from applications or bots, it has become the security. So the gathered data is used for improvement and learning AI assistance.

In 2019, people will more and more use an AI chatbot to communicate internal team, arrange own calendars, events, order food, plan vacations etc. It is obvious, the service becomes useful as they learn our habits, speech and in each case can offer a better and better solution.

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WhatsApp Business API: Common Questions for Chatbot Implementation

WhatsApp is on everybody’s A-list. It’s nothing new that WhatsApp is on the hype and most companies want to implement the bot into for business. Statistic says, that today messenger has 1.6 Billion monthly active users across 170+ Countries and 80% of messages sent to WhatsApp are seen within 5 minutes compared to the traditional SMS. Looks impressive but there are still a lot of uncovered questions that go on and on.

So, I gathered the most important for development and implementation questions that cover WhatsApp Business API. In the course of creating the article, I also checked Quora questions I’ve previously answered related to the topic. Please check the following list and write the questions you want to know.

WhatsApp bot

 

What is a WhatsApp bot?

For now, the WhatsApp bot seems like a simple AI solution. The bot for this messenger communicates only through text chat and images. Buttons and additional tools are not possible like on other messengers.

How safe are WhatsApp bots?

WhatsApp bots are very safe. Compared with other platforms, WhatsApp bots really encrypt messages. Messages to the WhatsApp server come via encrypted format. Check WhatsApp Availability and Scaling to understand how the service architecture provides this.

How do I build a simple Whatsapp bot?

To create a simple bot for WhatsApp without any additional help you can use the Twilio API that allows one start building and prototyping in a sandbox. Visit Twilio API for WhatsApp to understand how it works.

Is it possible to integrate a chatbot in Whatsapp which replies to my messages?

As mentioned previously, you can already build a bot for WhatsApp. First of all, install and set up the WhatsApp server. Then you will get access to the API that gives the opportunity for a bot to start working.

Warning: the bot will start working if it is created with programming languages but not with cloud platforms.

You can probably integrate a chatbot with WhatsApp but you’ll need to create an integration by yourself.

Launch the following services:

Getting Started — Quick outline of how to get started and next steps

Network Requirements — Network requirements necessary for the WhatsApp Business API client to connect to WhatsApp servers

Phone Number — Verify and register your business’s phone number

Verified Name — Display your business’s name when talking to your customers

Volumes — Securely store WhatsApp data while using Docker

Installation and Upgrading — Installation scripts and guide to get the WhatsApp Business API client running

HTTPS Setup — Set up and use HTTPS endpoints

Users endpoint — Create, manage, and use access tokens and user accounts for additional security

Backup and Restore Settings — How to backup and restore your WhatsApp Business API client

Deploying WhatsApp on AWS — Create an Amazon Web Services cloud to run the WhatsApp Business API client

Rate Limits — WhatsApp Business API endpoint rate limits scenarios

Understanding How to Get Opt-in for WhatsApp — How to present your users with an opt-in for messaging

Postman Collection — Import our WAE Developer Collection into Postman to quickly test the WhatsApp Business API

Then create an integration code with AI WA. Check out API Reference to understand how to build that. Here you find information regarding WhatsApp Business API Root Nodes and example of WhatsApp Business API format uses the contacts node.

How do I create a computer bot that can automatically reply to all our Facebook and Whatsapp messages?

As far as I know, one of the solutions is to use the Twillio API for WhatsApp using a simple REST API. The Twilio API for WhatsApp allows developers to start building and prototyping in a sandbox. In order to launch apps in production, you can request access to enable WhatsApp on your Twilio number. WhatsApp is currently opening up access in a Limited Availability program, where WhatsApp approval is required for all customers who wish to create their own profiles. Check out this link to start work with Twiliio API.

Other platforms, for example, Clare.AI and Hubtype, are still in beta testing. You can use these ones if you have the time when it will be launched.
For now, start learning how to make your bot for WhatsApp using WhatsApp Business API. So, the solution is to learn guidelines and tutorial and develop bot by yourself or pass the work to agencies.

How can I connect a WhatsApp group with a Telegram Group using a bot?

As of now, there isn’t any opportunity to work with groups in WhatsApp, unfortunately. As far as I know, only p2p communication is possible.

How accessible is the WhatsApp API?

WhatsApp API is accessible after branching on servers. Check this Installation and Upgrading to understand how it works in coding.

How can I get Whatsapp API?

First of all, install and update the WhatsApp Business API Client using Docker Compose. Follow all the steps and then you will get the WhatsApp API as you need it.

Make sure you have gotten approval for your business’s phone number and have a Verified Name certificate before attempting installation.

Initial Setup

Before continuing, please read through the other WhatsApp Business API guides.

This guide requires Docker, a container platform that lets you run the WhatsApp Business API Client. Docker Compose is also required. Docker Compose is bundled with Docker for macOS and Windows but requires a separate installation on Linux.

1. Install Docker on your system.
2. If Docker Compose is not bundled with your Docker installation, install it.
3. Download the docker-compose.yml and db.env configuration files: -WhatsApp_Configuration_Files.zip (find it here)
4. Open a console and navigate to the directory where you saved the downloaded files.
5. If you have a MySQL installation running, change the values in the db.env file to reflect your MySQL configuration. If you do not have MySQL installed, the docker-compose.yml and db.env files have a default configuration to bring up an instance in a local container.
6. Run the following command in the console:

docker-compose up

You will get some output, while the script downloads the Docker images and sets everything up. To run the containers in the background, use the -d parameter:

docker-compose up -d

Once you have completed these steps, ensure that the containers are running with the following command:

docker-compose ps

By default, the Web app container will be running on port 9090.

You can download and configure our Postman Collection to easily interact with the WhatsApp Business API.

Refer to the Registration documentation for next steps.

 

Please note that the list could be supplemented by other related questions. If you have anything to add, please share it with us and we’ll include it in the existing list. So, follow me and stay on top of WhatsApp chatbots novelties.

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Top Chatbot Benefits: How Bots Make Advertising Campaigns Cheaper

Previously Chatbots.Studio was considering how a bot helps business grow — optimizing information management and automating the work process.

So hold onto your hats, because this article is about how a bot can help decrease the costs of advertising campaigns and how it benefits businesses.

One of the lowest-cost ways of communication with the customer is a bot. Also, marketers increase productivity and save time. The main benefit of using a chatbot has to be the low-cost communication with a customer. Compared with other ways of communications, we can make a serious case that the bot is faster than emailing and smoke signals and cheaper than SMS, which costs about one cent per message in sunny Ukraine. Also, bots provide two-way engagement, mostly without a live agent.

To measure if chatbot implementation provides a cost reduction for an advertising campaign, identify a single metric — the cost of client acquisition.

 

Scenarios for automation advertising campaigns with bot:

  • Bot defines and segments target auditory using ‘ask & answer’ method. The bot asks the customer about preferences and offers the appropriate goods or services;
  • Sends advertising campaigns to customers via a messenger. The Marketer creates articles and the bot takes to sending routine messages on a massive scale to prospects.

 

Let’s consider an example of the first scenario to better understand how it works in real business cases.

The Sephora bot was developed for the beauty industry to help customers find the appropriate goods and let them know about cosmetic novelties. The chatbot handles natural language, asking customers about preferences regarding beauty goods. To decrease the cost of promotion, the bot acts in the following way:

  • Makes quiz — asks questions to gather information and makes suggestions (e.g. age, makeup brand preferences);
  • Scans an image, object or face of a celebrity, for example, and presents a list of matchings lipsticks;
  • Provides ‘how-to’ content. The chatbot showcases life hacks for makeup using their own supplies.

 

The results of chatbot implementation is an 11% higher conversion rate versus any other channel for booking in-store makeover appointments.

Does your chatbot reduce the costs of advertising campaigns and company service promotion as well as the Sephora bot does?

 

Another example of this sort of scenario is the M chatbot that advertises and promotes anything customers need. There is no necessity here to buy expensive tools for email marketing. Just hand the advertising content to the bot.

chatbot M
According to the previous intent, the chatbot M offers goods within the confines advertising

 

To promote goods and services quickly and affordably the bot acts in the following way:

  • Sends messages with ad content automatically and free or cheap;
  • Reaches the target audience directly via a messenger that increases conversion;
  • Offers the goods or services without aggressive advertisement. The customer will get an ad right after he realizes he needs the goods.

The aforementioned chatbot sends messages automatically and free. The B2B customer pays only for bot development.

 

With all that said, chatbots are a complete necessity for the smart business to explore new leads without massive cash outpouring. In the meantime, make them customer make sending offers and keep them loyal to the services you provide.

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