Case Study: Kramp achieves real-time machine learning analytics and faster order processing with Striim

Kramp Transforms Business Operations Through Advanced Real-Time Machine Learning Analytics

Kramp, a European parts and services distributor, needed to move from a batch-load, legacy data warehousing approach to near real-time analytics on Google Cloud Platform (BigQuery) to improve forecasting, order management, and overall decision-making. Their previous migration tooling lacked maturity and required high maintenance, compromising data quality and prompting Kramp to seek a more reliable, continuous data solution from Striim.

Striim implemented a real-time data integration platform that continuously replicates data from Oracle, Microsoft, and Postgres into BigQuery, enabling immediate analytics and machine learning use cases. As a result of Striim’s solution, Kramp achieved instant order-status updates that significantly reduced customer service calls, accelerated order processing, lowered operational costs, and improved KPIs like order processing and stock management while ensuring stable, accurate data replication.

Kramp

Oliver Meisch

Manager of Business Intelligence