Ever wondered how, on certain online-ordering websites or customer-service pages, you can communicate with a computer voice or a text box, that has human-like intellect?

For someone with a technology inclination, it sounds so interesting to have the ability to communicate with a computer voice that is smart enough to solve your queries!

The virtual conversational interfaces that you interact with are called voicebots undefined chatbots based on Natural Language Processing (NLP) power.

Nowadays, a lot of businesses use virtual AI assistants to serve their customers. They are designed and built in such a manner that they can resolve most of the queries that your customer might have, saving you from doing repetitive tasks.

In this blog, we will understand what are virtual AI assistants, and compare different NLP platforms to find you the best platform for building one.

What are conversational assistants?

Virtual AI assistants, also known as voicebots undefined chatbots, are AI-powered communication interfaces powered by Natural Language Processing (NLP) to interact with customers. They convert users' vocal or textual input into structured data using NLP, that can be understood by the system. AI then provides the appropriate response to the query generated by the customer.

Advantages of virtual AI assistants

Faster query resolution icon: An icon depicting swift query resolution using AI assistance.
Personalized Customer Interaction Icon: This icon depicts personalized customer interaction facilitated by an AI assistant.
Easy Scheduling of Meetings Icon: This icon depicts AI-enhanced meeting scheduling to facilitate simple event coordination.

Faster query resolution

Personalized customer interaction

Easy scheduling of meetings

AI assistants are faster compared to conventional communication methods. Different flows are created to guide the user to a solution as quickly as possible, improving customer satisfaction.

These are designed to have a personalized conversation with the customer, giving them a unique user experience.

Meetings can be easily scheduled using AI assistants, helping both the customer and the business owner, and saving scheduling time.

Use cases of virtual AI assistants

Solving level-1 queries of the customer:

AI assistants are designed and programmed in a manner to easily handle level-1 queries of the customers. It can effectively guide the customer towards a solution.

Scheduling meetings with clients/customers:

Meetings can be scheduled easily, and both parties are notified instantly to plan the calendar accordingly. It can be re-scheduled if anyone objects to the timing and suggests some other time, removing the ambiguity between parties.

Application status updates:

Applicants can get notified automatically regarding their application status. This automation helps in the overall smoothness of the process.

Food ordering:

Online food ordering can now be automated, and restaurants can have AI bots on their ordering platforms. They can guide the user through complete food ordering, from the menu to their house door.

Look how Seaflux provided a voicebot-based ordering system for curbside pickup for an American table service diner-style restaurant chain.

From the above-mentioned advantages and use-cases, it is suggestive that integrating your business with AI-powered virtual assistants is the wise thing to do!

Compare different NLP platforms.

Comparing the major NLP platforms to build your own AI assistant will provide better clarity on which platform to choose. Google vs AWS vs IBM vs Microsoft Azure, a head-on comparison between these NLP tools and services regarding their features, prices, and integration.

Google Dialogflow logo: Logo for Google's AI-powered conversational interface builder.
IBM Watson Logo: IBM Watson is an AI and machine learning development platform.
Amazon Lex Logo: Logo for Amazon Lex, an NLP service used for creating chatbots and conversational interfaces.
Azure Bot Service Logo: Azure Bot Service from Microsoft provides a platform for creating intelligent chatbots.
Platform NameGoogle DialogflowIBM WatsonAmazon LexAzure Bot Service
Languages supported
  • 32 languages - Speech-to-text
  • 28 languages - Text-to-Speech
Supports 13 languagesSupports 13 languagesSupports more than 30 languages
Omni-channel integrability
  • Google assistant
  • Messenger
  • Twitter
  • Slack
  • Twilio
  • Many more…
  • Slack
  • Messenger
  • WordPress
  • Custom APIs
  • Many more…
  • SMS
  • Messenger
  • Slack
  • Twilio
  • Many more…
  • Slack
  • Messenger
  • Skype
  • Twilio
  • MS Teams
  • Many more…
  • Text: $0.007 per request
  • Audio input/output: $0.06 per minute
  • Free plan (For small scale usage)
  • 10k text requests and 5 speech requests are free for 1 year.
  • Paid plan: USD 140/month
  • $0.004 per speech request
  • $0.00075 per text request
  • Free up to 10k messages/month
  • Premium: $0.5/ 1000 messages
  • Additional charges may apply*

Now we have understood what are the different use cases and what different service providers offer in their packages. We can make an informed decision as to how and where you can implement the AI assistant for your business.

Here's a step-by-step guide on how to build a voicebot for coffee ordering using Google's Dialogflow CX.

We, at Seaflux, are AI undefined Machine Learning enthusiast who is helping enterprises worldwide. Have a query or want to discuss AI or Machine Learning projects? Schedule a meeting with us here, we'll be happy to talk to you!

Jay Mehta - Director of Engineering
Jay Mehta

Director of Engineering

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