About TerraBog
AI-Powered Analytics. Built for E-Commerce.
We build the intelligence layer that turns raw e-commerce data into predictions, recommendations, and competitive edges -- so your team can act on insight instead of searching for it.
TerraBog Analytics is a multi-tenant intelligent data platform purpose-built for e-commerce businesses. We handle the entire analytics lifecycle -- from raw data ingestion through machine learning predictions to actionable business recommendations -- in a single, integrated SaaS product.
Most e-commerce teams are stuck choosing between expensive custom data infrastructure and shallow dashboard tools that show numbers without explaining what they mean. Neither approach tells you what to do next.
TerraBog is the third option: a full-stack analytics engine that predicts outcomes and prescribes actions.
Our platform connects to 27 data sources, runs your data through enterprise-grade quality pipelines, transforms it into 40 analytical models, scores it with 7 machine learning models, and delivers AI-powered insights through Claude AI -- all without writing a single line of code.
Our Mission
Help every e-commerce business make data-driven decisions with AI-powered analytics.
We believe that revenue forecasting, churn prediction, fraud detection, customer lifetime value analysis, and competitive intelligence should not require a team of data engineers and a six-figure infrastructure budget. Every e-commerce business -- from a growing Shopify store to a multi-channel enterprise -- deserves access to the same caliber of analytics that Fortune 500 retailers use.
Our vision is a platform that does not just show you what happened -- it tells you what to do next and predicts what will happen if you do it.
What we've built
The TerraBog platform
Enterprise data pipeline
27 native connectors ingest data from Shopify, Amazon, WooCommerce, Stripe, and more. Automated schema detection, PII masking, deduplication, and quality gates ensure every row is trustworthy before it reaches your warehouse.
40 analytical models
A dbt-powered transformation layer produces 40 mart models covering revenue, customers, products, cohorts, RFM segmentation, basket analysis, fraud detection, and demographic enrichment -- all maintained and versioned.
7 BigQuery ML models
Revenue forecasting, churn prediction, customer lifetime value, demand planning, anomaly detection, fraud scoring, and market basket analysis -- trained on your data, refreshed automatically, with feedback loops that improve accuracy over time.
35 analytics goals
Pre-configured intelligence goals across revenue, customers, products, operations, growth, risk, and competitive intelligence. Each goal surfaces AI-generated insights, predictions, and recommended actions -- not just charts.
This is not a generic BI tool or a dashboard builder. TerraBog is a complete intelligence engine -- from raw CSV to ML-scored prediction to AI-powered recommendation -- in a single platform your team can use on day one.
Our values
How we build
TerraBog runs on Google Cloud Platform: Next.js and TypeScript on the frontend, FastAPI and Python on the backend, BigQuery for warehousing, dbt for 40 transformation models, BigQuery ML for 7 intelligence models, and Claude AI for AI-generated insights. Infrastructure is fully Terraform-managed across dev, staging, and production environments. Every component is designed for multi-tenancy, data privacy, and automatic scale.
Prescriptive, not descriptive
Dashboards show you what happened. TerraBog tells you what to do next. Claude AI analyzes every metric and generates specific, actionable recommendations -- not summaries.
Data privacy by architecture
Row-level tenant isolation, PII auto-detection and masking, encrypted storage at rest and in transit, enterprise SSO/SCIM, and strict RBAC. Security is structural, not an add-on.
Production-grade infrastructure
Terraform-managed Google Cloud infrastructure: Cloud Run for compute, BigQuery for warehousing, Cloud SQL for metadata, GCS for storage. Every environment is reproducible, auditable, and scales automatically.
ML that improves itself
Prediction models include feedback loops and drift detection. Accuracy improves as more data flows through the system. Quality alerts fire automatically when data patterns shift.
Our team
A small, exceptional engineering team building enterprise-grade data infrastructure.
TerraBog is built by engineers who have worked across the full stack of modern data infrastructure -- from distributed systems and ML pipelines to product design and cloud architecture. We are a remote-first team that ships production code daily and measures everything we build.
Our platform serves e-commerce businesses of every size: from growing Shopify merchants who need their first real analytics, to multi-channel enterprises that want AI-powered intelligence across revenue, customers, products, operations, and risk -- all in one place.
We launched in March 2026 with a fully operational pipeline, 27 live connectors, and a complete ML scoring engine. We are just getting started.
Ready to see what your data can tell you?
Start a free trial and experience AI-powered e-commerce analytics -- 27 connectors, 7 ML models, and Claude AI intelligence, no data engineering required.