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Support for Highly Complex Conversational Dialog

Dialog Manager – Key Features

Natural Language Understanding   

  • Natural language with context
  • Detects common conversational intent
  • Multi-intents understanding
  • Includes thousands of common NLU entities
  • Accounts for synonyms and misspellings
  • Detects when someone changes their mind
  • Zero-shot or few-shot learning for NLU with little to no training data
  • Custom deep learning NLU models with more training data 
  • Question answering from database
  • Question answering from unstructured and semi-structured documents
  • Use external knowledge base for better NLU

Dialog Manager

  • Multi-task and handle context switching (MITIS)
  • Multi-intents handling 
  • Exception handling
  • Use information from articles or knowledge bases to respond to customer queries
  • Ask clarifying questions
  • Ask the customer for relevant information
  • Orchestration of bots
  • Federation of knowledge sources
  • Seamlessly escalate from chatbot to a live agent 
  • Process orchestration — human-assisted and non-assisted reactive/proactive processes. 
  • Suggest responses to live agents

 

Advanced NLP Features

  • Recommendation – AI assisted design
  • Support complex multi-round queries for knowledge base or data sources in natural language
  • Configurable Suggestion modes
  • Co-reference resolution
  • Sentiment detection and analysis
  • Multi-language understanding for conversations in different languages

Drag & Drop Chatbot Design Console

  • Business users can design customer chatbots in drag-and-drop UI without coding
  • Response to customer inquiries can be automated with natural and flexible conversations
  • Interactions can be seamless escalation to human reps with pinpoint, contextual routing
  • Updates are easy and can be deployed with one click
  • Deep learning based NLP and dialog manager

USE CASES SUPPORTED WITH RULAI DIALOG MANAGER

LevelCharacteristicsExamplesRequired Technologies
1stSingle
round
Q&A		FAQ,
question/answer
chatbots		Question
answering engine
or search engine
2ndSimple linear/tree
multi-round
conversations		Change address, menu-driven
chatbots		+ Multi-round
dialog
manager
3rdFlexible
non-linear
conversation		Sales and
marketing
chatbots		+ Advanced NLU
+ Advanced Dialog manager

Rulai’s third-level chatbots can track conversations, keep context to support intelligent, conversational chatbots that decide what the next action should be, including asking user for more input or clarification, switching to a different task, taking an action etc. With NLU and the advanced dialog manager, Rulai chatbots have the ability to handle mixed initiative and tasks and take actions based on inference.

NON-LINEAR CONVERSATION

Non-linear conversation is crucial to making bots more human friendly.  Rulai supports this by enabling chatbots to do more than follow a single thread.  With Rulai, if a customer asks an unrelated question, the chatbot can respond then get back to the original conversation.

Discover how Rulai can work for you

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