Normalized claim
Availability: 97-99% increase
availability from 97% to 99%
GCPEvidence: Medium50/100
New Aim case study | Google Cloud
Use case typeRetail analytics platformUpdated Jun 13, 2026
New Aim (Retail & Consumer, Australia) needed improved ecommerce platform availability and faster incident response after its previous infrastructure service provider exited the market. The company also planned AI-driven insights for pricing, market trends, and product listing optimization. New Aim migrated key systems to Google Cloud and runs its supply chain and ecommerce data workloads on BigQuery. It is building its AirOxy. AI analytics platform to enable generative AI models through Vertex AI Model Garden for business insights and supplier-input product build generation.
Reported outcomes
Availability: 97% to 99%
Risk, reliability & safety
Incident response time: 15 minutes
Catalog median for risk, reliability & safety deployments: +50% across 15 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Incident response time: 15 minutes
reducing response times from hours to just 15 minutes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- New Aim
- Provider
- GCP
- Maturity
- Unknown
- Linked source
- Google Cloud
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Ecommerce AI
- 2Data Analytics
- 3Infrastructure Modernization
- Migrated warehouse and order management systems and Dropshipzone to Google Cloud infrastructure.
- Runs the internal supply chain management platform, AimCore, on BigQuery to analyze product sourcing, logistics, and warehousing data.
- Working with Vertex AI Model Garden to enable generative AI models in the AirOxy.AI platform.
- Using Google Cloud AI services to capture supplier information and stitch together product builds.
AI capabilities position the business to improve pricing, market trend analysis, image optimization, and product build workflows.
Architecture
New Aim migrated warehouse and order management systems and Dropshipzone to Google Cloud infrastructure using Compute Engine, Anthos, Cloud SQL, Firestore, Cloud VPN, Cloud Armor, Local SSD, and Persistent Disk, with AimCore running on BigQuery. The company is working with Vertex AI Model Garden for generative AI capabilities in its AirOxy.AI platform.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jan 1, 2024Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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