GrocerIQ Holdings, Inc. (OTC: GRIQ), a developer of Physical AI (PAI) infrastructure for real-world commerce, announced today the completion of its core platform architecture, a milestone that positions the company to move toward initial live deployments. The platform is designed to allow physical businesses, such as grocery stores and foodservice operators, to automatically capture operational data, make intelligent decisions in real time, and act on those decisions without relying on manual processes, potentially improving efficiency, reducing waste, and optimizing ordering, stocking, and distribution.
The completed architecture includes a fully developed data capture layer, an edge AI processing engine, a hybrid decision engine, and an execution framework capable of interfacing with supplier and logistics systems. Unlike traditional software platforms that depend on static data and manual workflows, GrocerIQ’s system operates on a closed-loop architecture that runs continuously in real-world conditions. The platform follows a “See, Think, Act” model: capturing live data, applying AI-driven decisioning, and enabling execution through integrated workflows, effectively bridging the gap between digital intelligence and physical operations.
The platform is designed with a roadmap toward increasing autonomy over time, where decisioning can become progressively more automated as the system learns from real-world operating data. This evolution is intended to enable faster, more consistent, and more intelligent decision-making across complex physical environments. Additionally, the system is built with auditability and operational control as core features. Each decision generated by the platform is traceable to specific inputs, rule sets, and model outputs, with full logging and human oversight capabilities, supporting both operational reliability and enterprise-level accountability.
“This milestone represents a foundational step in positioning GrocerIQ at the forefront of Physical AI (PAI) in commerce,” said James Ponce, President of GrocerIQ. “With the core architecture now complete, we are entering the deployment phase and look forward to demonstrating the platform’s ability to drive real-time, data-driven decisioning in live operating environments.”
GrocerIQ’s platform is designed to support deployment across a wide range of environments, including grocery, restaurant, and institutional foodservice, with a modular architecture that enables scalable and repeatable rollout across multiple locations. The company’s focus on Physical AI infrastructure for real-world commerce aligns with growing industry demand for automation and efficiency in physical retail and food supply chains. For more information about GrocerIQ and its technology, visit the company’s website at https://www.groceriq.ai.
