Contextual Assistant

LimeChat assistants have the ability to quickly identify what your customers want from contextual information and create a tailored experience every time. Our technology helps to automate workflows and create conversational dialogues with ease. With 100s of built-in API integrations, integration with your backend systems is a breeze.

Natural Language Understanding (NLU)

We present to you our smartest NLU engine yet. Powered by the latest deep learning technology our engine is now able to harness worldwide information to breakdown user conversations. Our pre-trained D2C domain specific models ensure that the bots can integrate with your online brand within hours in the language of your choice.

Natural Language Understanding (NLU)

Just like us, machines are also trained to learn with every interaction. This process of self-learning enables machines to improve over time and personalise their interactions more and more as they learn about the users. With level 3 technology we take learning to the next level where performance can improve substantially in a span of weeks rather than months.

Continous Learning

LimeChat assistants have the ability to quickly identify what your customers want from contextual information and create a tailored experience every time. Our technology helps to automate workflows and create conversational dialogues with ease. With 100s of built-in API integrations, integration with your backend systems is a breeze.

What is a Level 3 Chatbot?

Level 3 chatbots can understand context.

User Profile

This consists of the user's preferences, personal details, chat history ,and purchasing history

User Goal

This comprises of the specific task the user wants completed and its supporting details

Conversation History

What has been said so far contains many contextual clues to clarify the user goal

World Knowledge

Based on the user profile and goal, words can have different interpretations

How Level 3 is better than Level 2

1

Gracefully Handle Any Goal

The assistant will identify and smartly complete user goals. For highly complex queries it will handle seem-less human handoff
2

Disambiguation

Human languages usually contain a lot of ambiguity. It is important to remove uncertainty using contextual features.
3

Change of Context

The user might at any point in time change their mind. This can affect any type of contextual data or lead to a change of user goal
4

Extract Contextual Data

Language can contain a lot of relevant structured data (e.g. dates, cities) that needs to be extracted from unstructured text.
5

Read/Write Contextual Data

The assistant should maintain contextual data in a database via APIs, to avoid restarting user chats from scratch every time.
6

Business Logic

Companies have personalised systems to integrate with, unique products to sell, and specific rules with which to address the user

Chat Breakdown

We can handle it all!

ABBREVIATIONS
INPUT
Abbreviations r osm
I am gt. wbu?
OUTPUT
Abbreviations are awesome
i am great. what about you?
TYPOS
INPUT
Im only human.
I can make mistacks
OUTPUT
I am only human.
I can make mistakes
EMOJIS
INPUT
Emojis are cool 😎
I love them
OUTPUT
Emoji are cool :Cool_emoji
I love them :heart_emoji