Intelligent
answering machine
for your enterprise

SmartBot

What is SmartBot? SmartBot is an intelligent, spontaneous answering machine for the enterprise.

Features

The two components of SmartBot are the ready to embed HTML 5 widget to converse with the bot and a comprehensive administration application.

  • SmartBot’s administration application is built to make the bot easy to train, take corrective measures and analyse the customer behaviour. Admin application has the following features
  • Define the meta-data for the business use case. Here the administrator will define various types of conversations possible and corresponding lexicons to each conversation type
  • Manage the historical data by uploading the conversations between support staff and customers. This data could be just sample data or real chat transcripts. The tagging of each conversation is done by an intelligent text search engine based on the meta-data. Administrator can correct any wrongly tagged conversations.
  • Dashboard with key indicators on the performance of the SmartBot – E.g. Count of happy and unhappy conversations based on the conversation sentiment, geographic distribution of the customer base etc. Administrator can also view all conversations between support staff and customer

Technology

SmartBot is a platform built on scalable Java technologies. Core of the bot is various machine learning algorithms which understand the context of customer question and respond using natural language processing techniques.

Use Cases

Chatbot in your website

Chatbot for Customer support

Chatbot for employee management

Features: SmartBot’s administration application is built to make the bot easy to train, take corrective measures and analyse the customer behaviour. Admin application has the following features

  • Define the meta-data for the business use case. Here the administrator will define various types of conversations possible and corresponding lexicons to each conversation type
  • Manage the historical data by uploading the conversations between support staff and customers. This data could be just sample data or real chat transcripts. The tagging of each conversation is done by an intelligent text search engine based on the meta-data. Administrator can correct any wrongly tagged conversations.
  • Dashboard with key indicators on the performance of the SmartBot – E.g. Count of happy and unhappy conversations based on the conversation sentiment, geographic distribution of the customer base etc. Administrator can also view all conversations between support staff and customer

Technology:  To build the training data, there is a feedback/learning mechanism built on a combination of machine learning and Elastic search engine.

Integration layer is built with REST API to meet the industry standard requirements. There will be a custom development effort to integrate with third party applications.

Technical Resources

  • Chat bot consultant

  • Chat bot developer
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