The Evolution of Retail Intelligence
From insights → to agents → to autonomous execution
Every Retail Decision, Covered
We support all core retail business functions — online, offline, and omnichannel — with analytics that evolve into agents.
Merchandising
Autonomous-capable
Supply Chain
Agent-ready
Marketing
Agent-ready
E-commerce
Autonomous-capable
Stores
Analytics-ready
Finance
Agent-ready
AI & Automation
Autonomous-capable
Deep Analytics. Retail-Native AI.
Everything we build is designed to move into automation.
Data Science
- MMM
- Pricing
- Forecasting
- Experimentation
AI / ML
- Recommendations
- Intent
- Churn
- LTV
MLOps & LLMOps
- Model Deployment
- Monitoring
- Retraining
Retail GPT
- Fine-tuned assistant
- Retail-native prompts
Small Language Models
- Private data
- On-prem capable
From Analytics to Agents
A clear path from insights to autonomous execution.
Data Science
- MMM
- Pricing
- Forecasting
- Experimentation
AI / ML
- Recommendations
- Intent
- Churn
- LTV
MLOps & LLMOps
- Model Deployment
- Monitoring
- Retraining
Retail GPT
- Fine-tuned assistant
- Retail-native prompts
Small Language Models
- Private data
- On-prem capable
Data
Models
Decisions
Agents
Actions
Feedback
Models
Why This Reduces Cost, Not Adds It
Analytics becomes infrastructure, not headcount.
| Traditional Analytics | Retail Foundry |
|---|---|
| Hire more analysts | Fewer people, smarter agents |
| Static dashboards | Living decision systems |
| Manual execution | Automated actions |
| Knowledge in people | Knowledge in systems |
Who This Is For
Large Retailers
- Augment existing analytics teams
- Scale without hiring
- Standardize decisions
- Institutionalize knowledge
Growing Retailers
- Your analytics team, built-in
- No hiring
- No tooling chaosdecisions
- Immediate execution