Artificial Intelligence

How to develop an intuitive Conversational AI Chatbot?

Consider using messaging apps, voice assistants, and chatbots as references in automated conversations, automating communications, & creating a tremendous personalized user experience. The interactive AI application uses the most intuitive interface possible. Long-term interaction with your customers in text or voice in natural language.

Conversational interaction is centered on words, whether it is a complete sentence or a name in a menu. Unlike social media, it can also support two-way communication with individual viewers. Interactive AI can fundamentally transform your organization and increase your means of communication with your customers to promote stronger interaction and engagement.

What does this mean for your business? Why now?

Social events will get organized using a messaging app, traditional text messages will get replaced by a more robust and secure messaging app, and first-time recruiters will buy using the voice interface. It is more straightforward, broader, and faster than using other communication channels.

Wherever the consumer is located, the channel used at that time must allow a transparent and synchronized conversation with the consumer. The important thing is that there are cases where these conversations are part of a short one-time request or response or long-term customer engagement. As interactive AI becomes a business priority, you need to consider the best way to prepare your organization.

What is interactive artificial intelligence in motion?

Interactive AI is booming messaging apps and voice platforms. All of them getting increasingly driven by artificial intelligence. These techniques are traditionally considered to be cutting technologies but are frequently getting merged in a significant way. 

Messaging application

More than 2.5 billion people use messaging services, claiming that around 12 large platforms have diverse geographic and demographic locations. Currently, monthly active users of WhatsApp and Facebook Messenger are over 2 billion, while active Facebook users are 1.94 billion.

Voice Support platform

Represents emerging markets that support voice, but consumer passion is intense. Rumors and big TV advertising campaigns, Amazon Echo, and not that much, have been broadcast for the 2016 holiday season via Google Home. Consumers particularly appreciate the speed of technology compared to hands-free and eyeless text, according to a KPCB survey.

However, 45% of users reported adding an item from their device to their shopping list, and 32% of users used it to purchase an Amazon Prime product.

Artificial intelligence

The complexity of the robot and the resulting interactive AI capabilities strongly depend on the complexity of the artificial intelligence used by the backend. Big-tech companies also get included in the arms race. Everyone allocates a lot of resources to promote the development of AI and realize ideas from the past. 

Also Read: The Security Risks of Conversational AI

Principles of interactive AI

We have developed nine policies to help companies hire interactive AI. These principles can be classified as follows:

First, define the purpose of the interaction of the business interaction. Find out where interactive AI has the most significant impact on your business. 

Create your entire environment.


Interactive AI applications leverage contextual content and data to attract users. The content makes conversation possible.


The design of the conversation essentially brings language and interpersonal communication and brings the brand to life and introduces the appropriate level of automation.

Advantage of chatbots

The Custom enhancements enable more cost-effective large-scale deployment thanks to the highly automated features used in robots that deliver a more relevant user experience. 

However, according to the survey, companies need to accelerate the speed, as the recruitment of corporate chat robots is later than opening up to mainstream technology. According to Retale’s research, “59% of the American generations of Mireniaru and 60% of Generation X use chatbots in messaging apps”, and chatbots have a higher retention rate than traditional apps.

But according to the Forrester report, at the end of 2016, only 4% of companies were performing automated procedures. The best robots on the market today achieve 17 primary commercial objectives.

1) A great one-on-one conversation

Automation allows businesses to use the native UX of thousands or millions of simultaneous chat applications.

2) Customized

Using large amounts of data, companies can tailor messaging to the individual level based on robotic conversations, interest in past behaviors, and responses.

3) High participation rate by push notification

Companies that offer great experiences can use push messages that are sent directly to the user’s inbox. Traders can count on high open rates and effective continuous reinvestment mechanisms.

4) Brand application of depression treatment

Having digital real estate on these platforms is an attractive option for creating private label applications since several messengers exceed the graphics of applications on a global scale.

5) Revenue

Artificial intelligence chatbots can prevent consumers from becoming aware of buying through sales channels.

6) Environmental chat

Major brands from GE to BMW integrate Chat into devices connected to the Internet, and robots facilitate interaction with these consumers.

7) Visual modeling

Model user-robot conversations with intuitive drag-and-drop tools that support luxurious node sets

8) Limited flow

Supports branching of conversation conditions based on user profile and business rules of demographic, psychological and conversational context

9) Managing Interruptions

Using the conversational Builder, developers have a variety of options to control the behavior of the conversational, where you can specify when and where the flow interruption occurs (any node or a specific node).

10) API orchestration

The conversational Builder allows developers to interact with the primary system mechanism headers, payloads, call types (synchronous or asynchronous), etc. Conversation experience required to support various authentication mechanisms

11) Custom logic

Developers can override the default behavior by writing a message node or prompt error messages, the JavaScript discussion definition. Take advantage of bot-level reusable JavaScript libraries. All custom code runs securely and is getting protected by malware

12) Reuse of components

Reuse the previously developed chatbot components (nodes) or modify the existing elements. When creating the details for a particular task, the platform offers the possibility of reusing it for other jobs and selectively replacing the attributes specific to the instance.

13) Notification settings

The conversational Builder can dynamically set up notifications for users when the chat stream runs. 

14) Debug and track conversations in real-time

Built-in tracking and debugging features allow you to test the conversation in real-time at each stage of development.

  • Display a conversational box and debug the log at any time.
  • Chat with the robot and view JSON requests and responses.

15) Rich Messaging

Automatically delivers messages that match models supported by more than 30 channels. You can choose to customize the messages by analyst/developer channel.

16) Sub intention and dialogues link

You can use conversational Builder to create conversational flows and call sub-intentions and other conversational flows. You can exchange context data between these flows according to the configuration defined by the developer of the conversational box generator.

17) Agent transport

Developers can use Dialog Builder to configure conquest conversations about human agents in the following situations:

  • Unknown intent
  • The user is getting invited to chat with a human agent.
  • Negative emotions
  • Business rules, such as high priority customers

Also Read: Artificial Intelligence in Digital Commerce Personalization

Create an interactive AI team

People with conversational skills are in high demand. Where to start? Does interactive AI have a job?

As new business models and product channels emerge, subtle strategies emerge that target different conversational goals. Growth-oriented businesses are determined to attract users quickly, but engagement-oriented companies and the LTV must have subtle and meaningful interactions with users before they develop.

1. Establish a roadmap for conversation

Integrate your approach by creating visions, strategies, and interactive product roadmaps. You should review your purchase, construction, or hybrid approach plan.

2. Planning of appropriate skills

You need to balance your budget, find the best people, develop your culture and reward your strategies, and learn the right skills to keep your team happy, satisfied, and productive.

3. Rentals with a corresponding priority

You don’t need a full team to get started. Any project needs product management, design, and engineering, but you can move forward with more widely trained resources to accelerate best practices for basic interactive AI. 

4. Earn A-Players

Creativity may be necessary as there is intense competition for talent in this area. You can find staff in academia, but you can also consider looking for a diploma certificate program and other alternatives. Post the challenges of discussion forums or participate in meetings and interact with the community.


Chat robots with artificial intelligence and smart assistants are fundamentally changing the business. Various chatbot platforms can be used for a variety of businesses, including e-commerce, retail, banking, leisure, travel, and healthcare.

Chatbots are more effective than people to reach more users in messaging applications. This could turn into a powerful information gathering tool shortly.

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