AIRA Framework Defines AI-Ready RFID for Food Retail
Altinteg Technology Solutions has published the AIRA Framework for food and grocery RFID deployments. It defines how item identity, EPCIS event data, food-specific fields, APIs, and operational reliability can prepare RFID systems for AI agents.
RFID Data for AI Agents
Altinteg Technology Solutions has introduced the AIRA Framework, short for AI-Ready RFID Architecture, as open guidance for food and grocery supply chains.
The framework addresses a technical gap: many RFID systems provide visibility for human dashboards, but not the structured, complete, and reliable data required by autonomous AI systems.
According to the AIRA whitepaper, AI agents can support replenishment, freshness management, compliance reporting, waste reduction, and recall isolation only if the physical data layer is machine-readable and trustworthy. AIRA is therefore positioned as a framework for designing, validating, and operating RFID infrastructure that AI agents can consume, trust, and act on.
The framework builds on GS1 EPCIS 2.0, RAIN RFID, FSMA Rule 204, and the EU Digital Product Passport.
Five Pillars of AIRA
AIRA is structured around five pillars: Item Identity, Event Capture, Food-Specific Data Fields, Data Flow and API Readiness, and Operational Reliability.
Item Identity requires every physical item to have a unique digital identity. This includes serialized GS1 SGTIN encoding, lot and batch information, expiry data, and location references such as GLNs.
Event Capture turns physical movements into structured, timestamped, machine-readable events. AIRA refers to GS1 EPCIS 2.0 as the event data standard for describing what happened, where it happened, when it happened, and in which business context.
Food-Specific Data Fields extend RFID beyond general logistics data. The framework includes fields such as days-to-expiry, cold-chain status, temperature data, freshness zones, FSMA 204 Key Data Elements, origin information, Digital Product Passport fields, and allergen or dietary classifications.
Data Flow and API Readiness requires RFID systems to expose data through documented, authenticated interfaces. This includes REST APIs, EPCIS query access, webhooks, OpenAPI documentation, and ERP or WMS integration.
Operational Reliability defines the performance level needed for autonomous use. AIRA specifies a minimum in-situ read rate of 98 percent, environment-specific validation, uptime monitoring, automated detection of event-chain gaps, and alerting when performance degrades.
Why Food Retail Is Different
Food and grocery environments place specific demands on RFID systems. Fresh products have short decision windows, cold-chain conditions must be monitored, and traceability data must remain available across producers, processors, distributors, warehouses, and stores.
For end users, this means RFID projects cannot be assessed only by whether tags can be read. The relevant question is whether the resulting data is complete, contextualized, accessible, and reliable enough to support automated operational processes.
From Traceability to AI Readiness
The broader market context is described in a Women’s Insider article on Altinteg Technology Solutions and its RFID-based Traceability as a Service approach. The article focuses on food retail supply chains, where product losses, limited stock visibility, manual barcode processes, and fragmented data flows can contribute to waste and inefficiency.
In this context, AIRA can be understood as the technical architecture behind this traceability model. While Traceability as a Service describes the operational approach, AIRA defines the requirements for RFID data to become reliable enough for AI agents.
Readiness Levels and Industry Relevance
AIRA introduces five readiness levels. Level 1 describes basic RFID deployments with dashboard visibility. Level 2 adds structured identity and EPCIS event data. Level 3 includes an operational API layer, ERP integration, real-time event streams, and partially populated food-specific fields.
Level 4 is defined as AI-ready and represents the AIRA certification threshold. At this stage, all five pillars are met, food-specific fields are complete, and reliability thresholds are continuously validated. Level 5 adds sensor-enhanced item-level data for predictive freshness modelling.
For RFID system integrators, AIRA provides a reference for implementations that go beyond hardware deployment. Tag selection, antenna placement, reader performance, middleware, event modelling, API architecture, and enterprise integration must be treated as one connected system.
For food retailers and grocery supply chains, AIRA can be used as an assessment model. It helps identify whether an RFID implementation is limited to inventory visibility or whether it can support automated replenishment, freshness-based markdowns, cold-chain compliance, recall isolation, and Digital Product Passport updates.
Read more: The source article “Reimagining Retail: How RFID Can Transform Wasteful Supply Chains” was published by Women’s Insider and provides background on Altinteg Technology Solutions’ RFID-based Traceability as a Service approach.