Case Study: a global corporate trade company boosts media-buying efficiency with Converge Technology Solutions and Google Cloud

Trade Company Executes Cost-Effective Migration to Google Cloud

A global corporate trade company needed to improve its media buy process, which required running multiple scenarios to meet customer criteria. Speed, turn-around time, and lowering operational costs were paramount. To address this, they worked with Converge Technology Solutions on a solution involving the Google Cloud Platform.

Converge Technology Solutions migrated the company's machine learning algorithms to Google Cloud Platform (GCP) and deployed them across clusters of GKE instances. This migration optimized their models and directly addressed their challenges. The results were significant: scenario computations increased from two per day to over 200, productivity and profits rose, and operational costs were reduced by five times, with the cost per prediction also dropping by 5x.