NativeChat—Bots That Can Learn

Create and train cognitive chatbots with goals,
examples and data from existing systems through our
Cognitive Flow technology.

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The NativeChat Difference

Other Bots

Predefined Question and Answer Paths

Ordinary chatbots use complex decision trees for each conversation. That’s time consuming and error prone because human interaction is so complex. Ultimately, the chatbot functions as no more than an answering machine forcing users into a predefined path.

Behave like
an Answering Machine

Users have to follow a predefined path.

Hello.
Hello there, I am the virtual assistant of
ACME bank.
I need to make a money transfer.
What is your account number?
My savings account
Sorry, I don't understand.
What is your account number?
Forget about it.

NativeChat

Automatic Goal-Directed Flow

Progress NativeChat’s innovative technology allows developers to define the chatbot’s goals and the steps it takes to achieve those goals, automatically generating the conversation flow for the end user. The result is a cognitive bot that learns from context and can be created on top of existing systems.

Converse in
a Natural Way

The bot is flexible and learns from context.

Hello.
Hi, Dave.
I need to make a money transfer.
Sure! Same as the last one - to Mary
for $1,000?
Yes, but make it $1,200
Ok. Sending $1,200 to Mary from your Savings
account (xxxx-5642).

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Why NativeChat?

Purpose-Built for Transactional Chat

Supports both transactional and FAQ-style transactions
Can quickly replicate existing web or mobile forms

Multilingual

Understands natural conversations in 72 languages
Optional built-in NLP engine powered and supported by Facebook

Fast Deployment

Be up and running in two weeks
Get to market 10-15 times faster than bot frameworks requiring hardcoded steps and responses

Easy Integration

Integrate with enterprise backend systems easily with optional Progress^® Kinvey™ serverless cloud backend

Adaptable and Cognitive

NativeChat AI can review and learn from chat histories without ongoing developer costs
Learns from existing FAQ materials

Product Building Blocks

Frontend

Conversational UI

Challenge

Delivering a superior conversational experience with text-only messages or the simple UI offered by channel vendors is a daunting task.

Solution

NativeChat provides rich, specially-designed UI components for conversational interaction that makes it easy to select dates, times, or items.

Quick Replies
Date Pickers
Time Pickers

Rich Selections
Login Forms

Channels

Challenge

Creating a chatbot for business processes in the financial services and healthcare sector might lead to exposure to sensitive information where social channels such as Facebook, Slack or Viber might fail to comply with existing data regulations.

Solution

NativeChat supports building your own private and secure channels in Web, iOS and Android using a set of SDKs and ready to use components.

Facebook
Viber
iOS

Android
Websites

Training

Natural Language Understanding

Challenge

Training a bot to converse about existing business entities often requires duplicating data and lengthy training processes.

Solution

NativeChat supports dynamic training on top of existing enterprise data through web services from Salesforce, Workday, Zendesk or any other enterprise product.

Traits by Wit.ai
Dynamic Training
Static Training
Keywords
Synonyms
Regex

Logic

Conversational Intelligence

Challenge

Designing an intelligent conversation flow requires costly development of decision trees, state workflows or slot-based algorithms using functional languages such as .NET or Java.

Solution

NativeChat empowers developers to use declarative programming where they describe what data they want to extract from a conversation rather than how. The actual conversation flow is controlled by NativeChat’s cognitive algorithms that produce natural conversations with users.

Conversations

Goal Conversations
Support Conversations
Small Talks

Reactions

Validations
Ambiguity
Acknowledgements
Confirmations

Past Behaviors

Value Suggestions
Conversation Predistions

Storage

Memory

Challenge

Having a natural-sounding conversation, requires the bot to know and remember a lot of data about the users and their conversations.

Solution

NativeChat platform securely stores each interaction with a user in its short- and long-term memory. Then it can be used to suggest values in subsequent conversations or even skip some steps.

Long-term memory
Conversation History

Short-term memory

Third Party Integrations

Challenge

Most interaction with a bot rely on data and business logic already existing in other systems.

Solution

NativeChat provides flexible REST API integration and samples on how to connect to your existing software infrastructure to deliver personalized user experiences.

CRM
Web Apps

Mobile Apps

Analytics

Performance Metrics

Challenge

Understanding the effectiveness of your chatbot and the efficiency of conversations requires a robust tracking and monitoring solution.

Solution

NativeChat has built-in analytics for measuring user engagement, retention and conversation accuracy to ensure your chatbot is performing at its best.

Engagement
Conversation Flow
Understanding Accuracy
Retention

Infrastructure Providers

72 Supported Languages

Afrikaans
Albanian
Arabic
Azerbaijani
Bengali
Bosnian
Bulgarian
Burmese
Catalan
Central Khmer
Chinese
Croatian
Czech
Danish
Dutch
English
Estonian
Finnish
French
Georgian
German
Greek
Hausa
Hebrew
Hindi
Hungarian
Icelandic
Igbo
Indonesian
Inuktitut
Italian
Japanese
Kannada
Kinyarwanda
Korean
Latin
Latvian
Lithuanian
Macedonian
Malay
Maori
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Somali
Southern Ndebele
Southern Sotho
Spanish
Swahili
Swati
Swedish
Tagalog
Tamil
Thai
Tsonga
Tswana
Turkish

Additional Resources

Learn more about NativeChat technology and its unique value proposition.

Whitepaper

Technical and Security Overview of Progress NativeChat

An in-depth look at NativeChat, providing a complete capabilities overview and technical details of NativeChat’s product architecture, product security and cloud infrastructure security.

Brochure

Deliver Superior Customer Support Experiences with a Cognitive Chatbot

A look at the business benefits of Progress NativeChat, including reducing contact center costs while delivering superior customer service.

Blog

Anatomy of a Chatbot—How Much Does it Cost to Build One?

Chatbots continue to grow in popularity. We explore all the components of a chatbot and the typical costs that going into building one today.

blog

Introducing Progress NativeChat

Introducing Progress NativeChat, our AI-driven platform for creating and deploying cognitive chatbots.

Progress NativeChat

Deliver superior customer experiences—empower customers to talk with chatbots just like they would with a human on the channel of their choice.

Try Now

NativeChat—Bots That Can Learn

The NativeChat Difference

Other Bots

Predefined Question and Answer Paths

Behave like an Answering Machine

NativeChat

Automatic Goal-Directed Flow

Converse in a Natural Way

Why NativeChat?

Purpose-Built for Transactional Chat

Multilingual

Fast Deployment

Easy Integration

Adaptable and Cognitive

Product Building Blocks

Frontend

Conversational UI

Challenge

Solution

Channels

Challenge

Solution

Training

Natural Language Understanding

Challenge

Solution

Logic

Conversational Intelligence

Challenge

Solution

Conversations

Reactions

Past Behaviors

Storage

Memory

Challenge

Solution

Third Party Integrations

Challenge

Solution

Analytics

Performance Metrics

Challenge

Solution

Infrastructure Providers

72 Supported Languages

Additional Resources

Whitepaper

Technical and Security Overview of Progress NativeChat

Brochure

Deliver Superior Customer Support Experiences with a Cognitive Chatbot

Blog

Anatomy of a Chatbot—How Much Does it Cost to Build One?

blog

Introducing Progress NativeChat

Progress NativeChat

Behave like
an Answering Machine

Converse in
a Natural Way