Tools for building Conversational AI-enabled Chatbots

No-code AI

Choose from a list of pre-built chatbot templates, customize its content and instantly publish it

Low-code AI

Create detailed and advanced conversational chatbots using just point-and-click tools

Build A Chatbot

Get development lifecycle tools from scripting, to analytics for building advanced chatbots

Conversational AI Models and Templates

NLP-on-the-Fly for pre-trained AI models

No NLP training needed for AI language models that are pre-trained on domain specific vocabulary

On-device Experiences

Build cross-brand user-profile, context and preferences that can improve bot experiences

Tagging tool

Ensure active learning powered recommendations for searching data to tag in a large database

Bot Services

Develop intelligent chatbots to interact and transact on 30+ messaging channels

Industry-specific Conversational AI Modules

Banking

KYC, collections, branch locator, card finder, loan finder, payment options

Marketing

Lead gen, offer selection, customer feedback

E-commerce

Package tracking, delivery rescheduling, returns

Travel

Hotel changes, flight upgrade, local attractions

Resources

Conversational AI: Humanizing Interactions Between Brands and Consumers

In this episode of the Conversational Messaging Podcast, Product Head of Conversational AI, Niyati Agarwal joins CEO, Beerud and VP Marketing, Srini to discuss how Conversational AI impacts brand reputation, reduces effort, and optimizes business costs

What is a key differentiator of Conversational AI?

Read how a Conversational AI platform enables organizations to build user-friendly applications like chatbots and voice assistants that allow customers to interact with the brand in a simple, real-time manner and more in this guide

What is conversational AI?

Conversational AI is a technology that enables machines to converse with humans in natural, human-like language. With this technology, chatbots, virtual assistants, voice bots, etc., can understand and process human language inputs and respond smoothly to them and with the correct context.

By leveraging a conversational AI engine like Gupshup, organisations can build user-friendly chatbots and voice assistants that allow customers to interact with the brand in a simple, real-time manner. It also helps the brand connect with customers in meaningful ways, delivering personalised support experiences at scale.

What are the benefits of conversational AI?

Conversational AI applications enable seamless and automated communications between brands and customers. Using Machine Learning (ML) algorithms and Natural Language Processing (NLP) capabilities, these tools can:

Recognise speech and text inputs from human users
Decipher language syntax, nuances and context
Understand user intent
Translate their meanings
Engage in multi-turn dialogues by generating natural language responses
Answer queries, address concerns and resolve issues in near-human, natural language

With conversational AI, companies can automate mundane tasks for marketing, promotions, and several use cases. The technology improves the productivity of human support agents to focus on more high-value and meaningful activities.

By combining conversational AI with human support, organisations can redefine customer experiences. A conversational AI platform like Gupshup provides bot-builder tools, pre-built templates and conversation flow designers so any organisation can easily incorporate conversational AI into their customer interaction workflows.

What are the types of conversational AI tools?

Organisations can choose from many types of conversational AI tools. Chatbots are the most popular application of conversational AI. One can implement conversational AI chatbots on the company’s website or other channels like Facebook Messenger, WhatsApp, Slack, etc., to automate part of their support, marketing or commerce workflows, and interact with customers in personalised, contextual ways. Other applications of conversational AI include mobile assistants, voice assistants, and Interactive Voice Response (IVR) systems.

Which industries and sectors can use conversational AI tools?

Conversational AI platforms like Gupshup are so versatile that they can be adapted to create conversational AI applications for any industry, including banking and finance, insurance, retail and eCommerce, F&B, travel and hospitality, as well as government, telecom, IoT, automotive, energy, and media and entertainment.

What are the primary elements of a conversational AI application?

Conversational AI translates language so a machine (e.g., a chatbot or voice assistant) can understand users and respond to them in a human-like manner. The tool or application relies on:

Automatic Speech Recognition (ASR)
Natural Language Processing (NLP) or Natural Language Understanding (NLU)
Text-to-Speech (TTS) with voice synthesis

Plus, one can fine-tune its AI language model by training it on domain-specific vocabulary. The enterprises can use pre-built conversational dialogue scripts and customise them w.r.t personality, tone, etc.

What is a conversational AI engine?

A conversational AI engine forms a core part of the Gupshup Conversational Messaging Platform (CMP). The CMP includes DIY tools and a workbench (no-code, low-code, yo-code), plus DIFM AI models and pre-built, pre-tested templates that work in plug-n-play mode. The engine drives all conversational and messaging experiences and plays a role on the client-side in B2C apps like GIP Messenger.

It enables the creation of intelligent bots which can work with other bots to compose, collaborate, delegate, transact, negotiate, self-upgrade and route. The engine allows the organisations to set up pre-built conversational experiences, build advanced, and enterprise-grade bots to drive automated, meaningful customer communications at scale.