The Role of AI and OCR-Based Label Verification Systems in Enhancing Food Traceability and Supply Chain Transparency

In an increasingly complex and globalized food supply chain, the need for robust traceability and transparency mechanisms has become paramount. Artificial Intelligence (AI) and Optical Character Recognition (OCR)-based label verification systems are emerging as transformative technologies capable of revolutionizing food safety and traceability. This paper investigates how these digital solutions contribute to improving operational efficiency, reducing human error, and ensuring regulatory compliance in food production and distribution systems. Central to the discussion is the Produce Traceability Initiative (PTI), a voluntary framework widely adopted in the United States, which promotes standardized practices for identifying and tracking produce across the supply chain. Furthermore, the study explores the integration of advanced computer vision tools such as Garland Verify Edge, which enables real-time inspection, RFID tracking, and blockchain integration to document and validate product information throughout the logistics chain. By comparing traditional manual inspection methods with AI-powered systems, the research underscores the potential of digital technologies to optimize traceability, support rapid recalls, and minimize food waste. The findings present a compelling case for widespread implementation of AI and OCR technologies in enhancing food safety and reinforcing consumer trust.