Case Study: Airlines Reporting Corporation boosts ticket resale revenue with Centric Consulting's predictive modeling

A Centric Consulting Case Study

Preview of the Airlines Reporting Corporation Case Study

Airlines Reporting Corporation predicts no-shows in 6 weeks with Centric Consulting

The Airlines Reporting Corporation, an online ticket marketplace, faced the challenge of empty seats and no-shows at events, which presented a significant loss of potential revenue. They partnered with Centric Consulting to leverage machine learning and develop a predictive modeling solution to optimize attendance and monetize these no-shows.

Centric Consulting implemented a solution using Python and AWS services including Sagemaker, Glue, and Lambda. They built a predictive model that analyzed factors like event day, purchase history, and customer location to accurately forecast no-show rates. This allowed the Airlines Reporting Corporation to resell tickets more effectively. The results were a battle-ready product that increased profits through ticket resales and a minimized maintenance requirement due to an effective DevOps strategy.


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