What challenges did TetriXX face before AI implementation?

Delayed consignments, lack of visibility, and poor coordination across the logistics chain increased shipping costs and environmental footprints. Needed an AI platform to turn logistics invoices/data into actionable insights for customers. Wanted to reduce internal training requirements by capturing founders’ 50 years of logistics knowledge.

What was the impact of the AI solution?

Helps customers eliminate transport and logistics inefficiencies and save up to millions of dollars per year. Improves logistics visibility and coordination across the chain. Enables quick onboarding and actionable insights. Supports tracking indirect greenhouse gas emissions across value chains. Provides 99.99%+ availability for an AI agent running in Google Cloud.

Source

GCPEvidence: Medium50/100

TetriXX case study - Google Cloud

Use case typeDocument automationUpdated Jun 13, 2026

Singapore-based startup TetriXX helps customers save up to millions of dollars per year by eliminating logistics inefficiencies. With Google Cloud, TetriXX provides an AI platform that turns raw data from transportation and logistics invoices into clear, actionable insights. Using Vertex AI and the Agent Development Kit, TetriXX rapidly develops new AI features and agents, moving them from R&D to production with ease. The platform also integrates data from external sources to fully inform agent outputs, ensuring they’re accurate, complete, and ready to drive smarter decision-making. Internally, the organization uses Gemini 3 Pro, Gemini Gems, and NotebookLM to support competitor analysis, consistent responses across functions, and founder knowledge capture.

Organization: TetriXX
Industry: Logistics
Location: Singapore
Published: June 2026

Reported outcomes

100%

quantified impactRisk, reliability & safety

Strategic outcomes

Cost efficiencyEliminated logistics inefficienciesBetter decisions & insightTurned invoice data into actionable insightsSpeed & agilityRapidly developed new AI featuresSustainability & ESGSupports emissions tracking across value chains

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 100%

Google Cloud Customer StoriesJun 3, 2026Customer storyInferred claimMedium evidence strength

Provides 99.99%+ availability for an AI agent running in Google Cloud.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: TetriXX
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1Agentic AI
2Document Processing
3Knowledge Management

Delayed consignments, lack of visibility, and poor coordination across the logistics chain increased shipping costs and environmental footprints.
Needed an AI platform to turn logistics invoices/data into actionable insights for customers.
Wanted to reduce internal training requirements by capturing founders’ 50 years of logistics knowledge.

Built an AI platform on Google Cloud using Vertex AI, the Agent Development Kit, Gemini 2.5 Flash, Gemini 3 Pro, Gemini Gems, and NotebookLM.
Processed unstructured transportation/logistics invoice data to produce holistic customer insights.
Integrated external data sources to improve accuracy and completeness of agent outputs.
Used NotebookLM mind maps to capture founder knowledge and support internal training.
Worked with Cloud Ace to engineer the solution to run in Google Cloud.

Technologies

Vertex AI Agent Development Kit Gemini 2.5 Flash Gemini 3 Pro Gemini Gems NotebookLM

Helps customers eliminate transport and logistics inefficiencies and save up to millions of dollars per year.
Improves logistics visibility and coordination across the chain.
Enables quick onboarding and actionable insights.
Supports tracking indirect greenhouse gas emissions across value chains.
Provides 99.99%+ availability for an AI agent running in Google Cloud.

Sources & evidence1

Evidence: Medium50/100Evidence strength