Research & Publications
Foundational research and thought leadership in autonomous retail AI
Featured Publication
Foundations of Agentic AI for Retail
A Comprehensive Framework for Autonomous Retail Intelligence
The definitive guide to implementing autonomous AI agents in retail operations. This groundbreaking work introduces the BDI (Belief-Desire-Intention) framework and OODA Loop methodology for retail AI, providing both theoretical foundations and practical implementation strategies.
Access Options
Preview Key Frameworks
BDI Architecture
How AI agents form beliefs, set desires, and execute intentions in retail contexts
OODA Loop Methodology
Observe-Orient-Decide-Act framework for real-time retail optimization
Multi-Agent Coordination
Patterns for autonomous agents working together in retail operations
Related Content
Autonomous Inventory Management
Deep dive into agent-based inventory optimization
Retail Demand Sensing with AI
Advanced techniques for real-time demand intelligence
Multi-Agent Pricing Strategies
Coordinated pricing optimization across product categories
Thought Leadership
The Evolution from Predictive to Autonomous AI
Why retail AI must move beyond predictions to autonomous action
Building Trust in Autonomous Retail Systems
Frameworks for reliable and transparent AI decision-making
Ready to Implement These Concepts?
See how OODARIS AI brings these research frameworks to life in your retail operations