Altinteg Technology Solutions has published a new open framework designed to bridge a critical gap between RFID infrastructure and artificial intelligence in grocery and food supply chains. The AI-Ready RFID Architecture, known as AIRA, sets out a structured, standards-aligned blueprint for making physical data layers reliable enough for autonomous AI agents to act on.
The framework arrives at a time when agentic AI is moving from concept to deployment across supply chain operations. AI systems can now re-route shipments, trigger replenishment, isolate recalled products, and generate compliance records without human input. But these capabilities depend entirely on the quality of the data feeding them, and most existing RFID deployments in food and grocery were never built with machine consumption in mind.
According to Altinteg, the majority of current grocery RFID implementations were designed for human-readable dashboards. They lack the serialized item identity, structured event sequences, food-specific data fields, API-accessible outputs, and operational reliability that AI agents require. The result is a data layer that works well enough for manual oversight but falls short when autonomous systems need to make real-time decisions.
AIRA addresses this through five core pillars. Item Identity ensures every product carries a unique, serialized identifier. Event Capture defines structured sequences for tracking product movement. Food-Specific Data Fields cover attributes like temperature, shelf life, and batch information. Data Flow and API Readiness specifies how systems should expose information for machine access. Operational Reliability sets standards for uptime and data consistency.
The framework also introduces a five-level readiness score. Level 4, designated as the certification threshold, represents the point at which an RFID deployment can support autonomous replenishment, freshness management, compliance reporting, waste reduction, and recall isolation. Level 5 extends further into predictive freshness modelling, where AI agents anticipate spoilage and adjust operations proactively.
AIRA aligns with several established and emerging standards, including GS1 EPCIS 2.0, RAIN RFID specifications, the US FSMA Rule 204 for food traceability, and the EU Digital Product Passport regulation. This alignment positions the framework as a practical tool for organizations already working within these compliance structures.
Altinteg has published AIRA as open guidance, making it freely available rather than proprietary. The company, founded by Aliya Pogorelskaya, specialises in food, factory, agriculture, and infrastructure environments, and has previously developed its Traceability as a Service platform. That platform combines RFID infrastructure with IoT readers, cloud analytics, and Digital Product Passports to tackle product loss, which in food retail can reach waste levels of 50 to 60 percent of total volume.
With the GS1 Sunrise 2027 initiative accelerating the transition from legacy barcodes to 2D data carriers, frameworks like AIRA could play a significant role in ensuring the next generation of supply chain infrastructure is ready not just for human operators, but for the AI systems increasingly managing operations alongside them.
Read more at https://altinteg.com/news/altinteg-featured-in-womens-insider-transforming-retail-supply-chains-with-rfid-technology/