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The migration process has significantly cut down the time needed to integrate new client data, reducing it from 90 days to just two weeks, along with a 40% boost in accuracy. The Cloud Service Mesh allows for quicker API deployments across different regions, while the Google Kubernetes Engine handles workload management automatically and optimizes resource scaling to enhance cost-effectiveness.
AI-Powered Merchant Reconciliation
Snowdrop has successfully incorporated Vertex AI with BigQuery, streamlining its merchant reconciliation process. This AI-driven method has allowed the company to increase its merchant database by an astounding 100,500 times compared to figures before the migration.
Daniel Ritchie states, “We now have 100,500 times more merchants in our system than prior to the migration. Our team utilizes Vertex AI to train our system to accurately identify and associate these merchants with their corresponding transactions.”
“This advancement yields significantly more information and accuracy for the end customers of our clients––a feat we could not achieve at this scale without automation.”
The company plans to further enhance its capabilities by leveraging AlloyDB and Gemini through Google Cloud. These innovations will facilitate more efficient data management and enhance the processing of multilingual merchant information.
Acosta emphasizes the advantages of the collaboration with Google Cloud: “In just a couple of months, we expect to certify two new engineers through the Google Cloud Partner Advantage Program.”
“Working alongside Google Cloud not only boosts our team’s morale but also keeps us engaged in continuous learning, providing access to early product demos and features. This collaboration better equips us to keep innovating and progressing our solutions.”
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