Using Artificial Intelligence to Increase Customer Satisfaction

Utilities

THE CHALLENGE.

Recently, Pegasus One’s team set out to examine how how AI powered digital assistants such as chatbots and NLP based voice assistants could be used to deliver subject-matter expertise. The team was also tasked to develop potential use cases and proof of concept solutions for such a utility.

Using Artificial Intelligence to Increase Customer Satisfaction

Utilities

THE CHALLENGE.

Recently, Pegasus One’s team set out to examine how how AI powered digital assistants such as chatbots and NLP based voice assistants could be used to deliver subject-matter expertise. The team was also tasked to develop potential use cases and proof of concept solutions for such a utility.

APPROACH.

After initial discussions, the team came up with an application that allowed a potential employee to carry out research using a voice based or text based chatbot. By allowing the bot to be integrated with existing enterprise data with custom application programming interfaces (APIs), the chatbot was able to harness the power of machine learning algorithms that drilled down into hidden patterns within the existing data to discover previously unknown opportunities, giving the users a detailed and well organized responses.

The app was also able to leverage machine learning to create a knowledge repository for the AI assistant to use while answering queries about business functions. It was particularly adept at tracking work orders progress, for example.

RESULTS.

Almost immediately, a variety of beneficial results were achieved, like:

  • It was more than capable of automating the research process for the sales team.
  • It provided sales personnel with additional knowledge on key factors related to specific industries.
  • The solution also reduced processing time by providing research materials that were never more than a click (or a voice command) away.

VALUE.

By the end of this project, Pegasus One team had designed a dual interface AI powered personal assistant capable of responding to queries regarding business functions such as work orders, conduct complex research on the fly and help users stay on top of their work effortlessly.

All told, the application was user freindly and effective – making it very attractive for in-house teams for a variety of data driven enterprises. Our client responded very positively with reported results showing an improvement in customer interactions and customer experience.