Case Study: Snowdrop achieves faster, more accurate global transaction enrichment with Google Cloud Platform

Enriching transactional data at scale to foster global financial transparency and trust

Snowdrop, a company focused on enriching transactional data to improve global financial transparency and trust, faced the challenge of manually gathering and validating merchant information for new regions. Using Google Cloud Platform services such as Google Places and Vertex AI, Snowdrop needed to speed up data ingestion, improve accuracy, and launch into new markets faster.

Google Cloud Platform implemented an AI-assisted, automated process that validates merchant matches, while Cloud Service Mesh, Google Kubernetes Engine, and Google Cloud Marketplace supported faster deployment, scalability, and cost efficiency. The result was a reduction in onboarding time from 90 days to a couple of weeks, a 40% improvement in accuracy, and growth from 198 million transactions per month to more than 2.1 billion.

Snowdrop

Daniel Ritchie

Product Director