AI Case Study

TicketMaster uses conversational voice and text chatbots to improve event searching and ticket sales experience

TicketMaster uses conversational voice and text chatbots to improve event searching and ticket sales experience. They implemented Google's Dialogflow product to quickly implement conversations that were linked to TicketMaster event information and sales products.

Industry

Consumer Goods And Services

Entertainment And Sports

Project Overview

"Even though they had little natural language processing experience, the team easily used Dialogflow's tools to create compelling voice user experiences.

'It was great to leverage Dialogflow's expertise in machine learning and natural language processing, so we can concentrate on the stuff that we knew how to do', says Patrick Jackson, Ticketmaster software engineer.

'Dialogflow made it easy for us to add an intent and to make sure that our system was trained to understand the names of thousands of different musical artists.'"

Reported Results

'Dialogflow helped our team get a conversational experience up quickly without spending a lot of hours coding,' Jackson says.

Seeing great results, the team plans to use Dialogflow’s cross-platform capabilities to scale up their efforts and launch the conversational experience to more devices with the Google Assistant built-in, to more platforms such as Amazon Alexa, Facebook Messenger, and Cortana, and to international markets outside the US."

Technology

Function

Sales

Sales Operations

Background

"Ticketmaster is the world's top live-event ticketing company. Founded in 1976, they sell more than 500 million tickets annually in 29 different countries. Recognizing the ever-increasing accuracy and power of natural language processing, Ticketmaster turned to Dialogflow's conversational technology to provide faster and more personalized services for ticket buyers."

Benefits

Data