Dialog State TrackerTM

State of the art conversation manager

 

A comprehensive dialog state management software that can drive complex conversations to success.

Does your bot struggle under certain circumstances?

Can your bot handle complex conversations?

Is your bot ready to handle real human conversations that contain context changes?

Does your bot intelligently handle long conversations?

Introducing

Dialog State TrackerTM

Every conversational virtual assistant requires a module that controls the dialog state flow. This module determines the stability and smartness of a virtual assistant.

Smartbots DST is a sophisticated software component that handles the flow of the conversation in a virtual agent. DST is equipped with state of the art tools and algorithms that are capable of seamlessly handling the most complex and varied conversation flows. DST is designed to significantly increase the stability and smartness of the virtual assistant, irrespective of the complexity of the use case.

Multiple NLU based State identification

The DST leverages the state identification functionalities of available NLUs like AWS Lex, Dialogflow etc. This enables the DST to provide state identification, even in case of multiple intents, complex conversation flows and context switching.

RL based next State prediction

DST uses Reinforcement Learning in order to predict the next state. This is different from the Decision tree approach followed by most of the solutions available in the market. RL has proven to provide better and more accurate predictions which significantly improve customer experience.

Graph based context management

Context management is a crucial component of conversational AI as human like conversations are not always linear in nature. DST is equipped with a graph based context management, that can easily track and maintain the context and provide a smooth conversational experience for the user.

An End-to-End solution for all your Enterprise Bot needs

Collection of industry specific pre-built skills which are pre-trained with standard conversation flows.

Identify vulnerable conversations and train the bot to handle them, thus improving the bot quality

Understand your bot’s performance with real-time analytics and metrics.

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