Measurable Outcomes on Google Cloud.

The challenge

Fragmented inventory data across regional warehouses and disconnected customer interaction channels led to inventory misallocations, stockouts during peak seasons, and slow time-to-market for new product deployments.

Google Cloud deployment

• Vertex AI & BigQuery: Centralized real-time supply chain analytics and customer behavioral data into BigQuery, applying custom forecasting models with Vertex AI.

• Gemini Enterprise Agent Platform: Deployed autonomous inventory tracking agents to notify warehouse managers of demand surges in real time.

• Cloud Run & Dataflow: Built serverless microservices for dynamic web search and automated order processing.

The challenge

Increasingly sophisticated financial crime required the bank to modernize legacy transaction monitoring. High false-positive rates strained compliance teams and impacted legitimate user transactions.

Google Cloud deployment

• Vertex AI fraud detection models: Pre-trained and custom machine learning pipelines evaluating high-volume transactions in milliseconds.

• Google SecOps & Security Command Center: Enterprise-grade threat detection, data residency controls, and VPC Service Controls across sensitive banking infrastructure.

• Cloud Spanner: Migration to a globally distributed database guaranteeing zero-downtime ledger processing.

The challenge

Escalating multi-cloud infrastructure overhead, siloed internal knowledge repositories, and slow internal software development lifecycles across engineering divisions.

Google Cloud deployment

• Anthos (Google Distributed Cloud): Consolidated hybrid and multi-cloud Kubernetes cluster management into a single control plane.

• Gemini Enterprise for Workspace & developers: Scaled generative AI code assistance across engineering teams and internal documentation search across all business units.

• BigQuery enterprise data lake: Unified enterprise telemetry, financial operations, and HR metrics.