Case Study: a leading retail technology giant achieves faster, scalable retail price optimization with AgreeYa Solutions' GCP data mesh

Leading Retail Technology Giant - Customer Case Study

A leading retail technology giant faced challenges with its price optimization software, hindered by an outdated data infrastructure that lacked scalability, performance for high-volume data processing, and stability. Seeking to modernize, the customer partnered with AgreeYa Solutions to adopt a cloud-based data mesh architecture to treat data as a product and improve agility.

AgreeYa Solutions designed and implemented a robust data mesh on Google Cloud Platform, utilizing services like Cloud Run, BigQuery, and Dataflow to create a scalable ETL pipeline orchestrated with Cloud Composer. The solution delivered significant results, including a 50% reduction in data processing time, a 50% cut in data management costs, and a 15% improvement in decision-making accuracy, greatly enhancing the software's performance for the customer.