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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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