New Aim
New Aim has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country.
Hyperscaler mix
See whether New Aim's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How New Aim builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Reported outcomes
2 cases report measurable results
+97%
Risk, reliability & safety
median · 3 metrics
−97.5%
Time & speed
median · 1 metric
Medians of results published in New Aim cases, normalized for comparability. See all benchmarks →
Technology snapshot
What New Aim uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Agent
- Tagged cases
- 1/2
- Tech names
- 15
All Use Cases (2)
New Aim deploys 24/7 agentic operational agents with Gemini Enterprise Agent Platform
New Aim built an AI-native operating layer on Google Cloud to replace siloed spreadsheets and manual SKU/inventory calculations.It centralized transaction and logistics data in Cloud Storage and BigQuery, used BigQuery ML for demand and pricing models, and deployed 24/7 internal agents with Gemini Enterprise Agent Platform and Gemini Flash models.The system lets planners query complex metrics in plain English, keeps human-in-the-loop validation for qualitative adjustments, and runs applications on Cloud Run.
New Aim case study | Google Cloud
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.