We Develop and Integrate AI Chatbots On

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Website

Website

Facebook Messenger

Facebook Messenger

Slack

Slack

Telegram

Telegram

Twilio

Twilio

Google Assistant

Google Assistant

Alexa

Alexa

Cortana

Cortana

Kik

Kik

Improve Your Customer Service With Google Dialogflow Chatbot Development

Do you get too many customer inquiries via chat and don’t have enough executives to handle them? Is it difficult to keep track of everything? AI chatbots developed with Google Dialogflow can help you solve these problems and others like inventory optimization, handle payments, and can be launched for other smart devices.

The key benefit of using Google Dialogflow to develop an artificial intelligence chatbot is that your bot will converse in natural language with the customers. This is because Dialogflow is integrated with Google’s Cloud Natural Language and it helps your AI chatbot understand the nuances of the language rather than just holding on to the literal meaning of each word. This will enable your bot to converse with your customers and make them feel like they are talking to a real person.

Google Dialogflow offers support for both voice-based and text-based AI assistants, making it easier for you to integrate it into all smart devices and IoT devices. Our AI developers can help you integrate multiple features and functionalities in your AI chatbot so that you can reap maximum benefits from your software. All you have to do is tell us your problems and discuss your requirements with us. After that, you can sit back and relax as our expert app consultants sort out the rest for you.

Convert your app idea into reality

Industries For Which We Develop AI Chatbots Using Dialogflow

  • eCommerce
  • Banking and Finance
  • Education
  • Travel and Tourism
  • Healthcare
  • Fitness
  • Human Resources

Benefits Of Developing An AI Chatbot Using Dialogflow

Want to hire AI Chatbot experts?

Our proficient AI Chatbot developers have years of experience working for various digital products. Let’s discuss your app idea.

Process We Follow For Developing Conversational AI Chatbot

1
Gathering Requirements

Understanding & Gathering Requirements

In this step, we will need you to list down all your requirements for the AI chatbot. We will ask you questions like, what are your goals from the AI chatbot? What problems are you hoping to solve? These questions will help us understand what exactly you are looking for and aid us in taking the next step. The better we understand your requirements, the better we can deliver what you are expecting.

2
Wireframing and Prototyping

Determining Messaging Channel

Not every business is the same, we understand that. As the industry changes, so will the target audience. According to the target audience, we will need to understand the best messaging channel where most of your customers are present. This can make it easier for them to reach out to you. Thus, we will help you understand and determine the best messaging channel for your AI chatbot.

3
App UI Design

Analyzing Conversations for Automation

Our team of AI experts will analyze the data and understand which use cases will be the best for your chatbot development. We will work to establish the automation roadmap and determine which parts of your conversations can be automated with AI. Most of the conversations with your customers can be automated but we will need to sort them out in order to train the chatbot with the Dialogflow responses.

4
Mobile Development

Training the Dialogflow Chatbot

In this step, we will finalize the intent of the AI conversations, and set certain goals for the AI chatbot using Google Dialogflow. Our experts will sort the training data as per the requirements. After that, we will begin training the bot by feeding it data and constantly testing it. We will check what the chatbot replies to and how it learns based on real-time conversations in our technical testing environment.

5
Quality Assurance

Quality Analysis Testing

We want to make sure that there are no technical issues with your AI assistant. Hence, we will be conducting a thorough QA test throughout the project and final testing will be done once the entire project development has been completed. We will also be sending the final build with you to check it from your end. If you require any changes or have suggestions, we provide you 100% support.

6
Deployment Product

Deploying and Integrating the AI chatbot

This is the final stage of the AI chatbot development process. We will be integrating your AI assistant with the messaging channels that we determined in the 2nd step and taking it to live. The bot will keep learning even after deployment by using the data that it collects from conversations. We will constantly keep improving with the post-3-month technical support for free.

How Google Dialogflow Works?

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Need an AI expert who understands user flow?

We have an expert team of AI Chatbot developers who have worked in diverse sectors for years.

Testimonial

A Few Words From Our Clients About Our Customer Service

Ashish Fernandez
Ashish Fernandez Canada

Space-O understood our expectations and were receptive to feedback. The team always resolved problems within 12 hours. The app earned positive feedback and a 400% increase in the number of user. Effective QA and QC made development seamless and efficient. The team was communicative and available on available to work on weekends as needed. Bug fixes were always completed within 12-hour time-frame.

Harry Martin
Harry Martin USA

Space-O team consists of skilled Android and iOS developers as well as a backend developer. They test their work and communicate with the internal staff regularly to drive progress. The project manager is very responsive to our company and prompt to go over all queries and concerns with the development team. We are continuously impressed by the level of communication and prompt diligence on getting the tasks at hand worked on and completed.

Frequently asked questions

The duration of the project will depend on the scope of your project and your requirements. Hence, it will be helpful to us if you could list down all your requirements to us in the initial stages as it will enable us to create a better and more accurate timeline for your project. For now, all we can say is that simpler projects will require less time and complex projects will take up more time. This is because when we are developing software using artificial intelligence, we need time to train the AI chatbot.

Yes, that is also possible with Space-O Canada as your technical partner. We do offer Google Dialogflow solution development services for your project but we also have the option for hiring dedicated developers from our company for your software project. You can hire developers on an hourly, weekly or monthly basis, depending on your requirement.

All we need from your end is that you give us your requirements and tell us what you need. This will help us provide you with what you are looking for and fulfil your expectations better. Apart from this, we expect you to provide us with upfront feedback on the project so that we can make alterations and deliver accordingly.

Yes, if you need it then we will integrate functionalities that can handle orders and manage payments for your business.

We will suggest you an edition of Google Dialogflow, depending upon your requirements. The very basic edition, the Standard edition is free to use and can handle queries accordingly. If you get too many queries in one day, we would suggest you opt for the Enterprise edition. Although there are some minimal charges per query, it is totally worth the expense.

The Google Dialogflow platform makes use of Cloud Natural Language to provide rich and natural language in the conversations. It also makes use of Machine Learning to understand the patterns of human behaviour and how to tackle them. Dialogflow is also able to perform sentiment analysis on every query by the users which makes it easy for you to gauge the response of the users and improve accordingly.

Yes, Dialogflow has Google’s Cloud Natural Language integrated into it so it is able to use natural and rich language when talking to the customers and solving their queries. It is able to understand the nuances of the language and easily understand what the customers are looking for. It also makes use of machine learning to easily understand what the customers are saying and learn everyday for serving the customers better. The AI chatbot will also make use of sentiment analysis to better understand if the customers are happy or upset.