Case Study: Toppan achieves 20 hours of monthly savings and 10x lower AI costs with Google Cloud Platform

Toppan Inc. Reducing work time and lowering model building and prediction costs with AI

Toppan, a Japanese manufacturing company, wanted to improve marketing ROI and streamline its AI-driven promotional targeting service, KAIDEL. Its previous environment required heavy data transfers to an on-premises system, creating high manual effort, storage limits, and rising maintenance costs. Toppan turned to Google Cloud Platform and Vertex AI to build a more efficient AI operations pipeline.

Using Google Cloud Platform, Toppan integrated data storage, BigQuery, and Vertex AI AutoML to semi-automate model building, scoring, and prediction. The result was a savings of 20 work hours per month and model building and prediction costs cut to about one-tenth, while KAIDEL also helped one client triple its purchase rate versus manual targeting. Google Cloud Platform also enabled Toppan to standardize technologies on one platform and expand its modular DX approach across teams.

Toppan

Hisao Morikawa

Manager of the Digital Marketing Center