TraceGains Launches AI-Powered Intelligent Document Processing to Improve Ingredient Safety, Compliance

WESTMINSTER, Colo. — TraceGains, a provider of compliance, quality and innovation solutions for the food and beverage industry, announced the launch of its Intelligent Document Processing (IDP) solution for material compliance and lot-level ingredient quality control.

Built to streamline Certificate of Analysis (COA) processing to ensure a product's compliance in terms of quality, performance and safety, TraceGains' IDP eliminates the need for manual processes while improving accuracy and operational efficiency across workflows, the company said.

"We designed IDP to deliver superior accuracy and reliability by continuously learning and improving with every use," said Paul Bradley, senior director of product marketing, TraceGains. "Our AI-driven solution eliminates the inefficiencies of manual data verification, empowering brands to proactively manage supply chain quality and compliance. Customer feedback indicates it is a smarter, faster way to ensure the safety and integrity of the products consumers rely on."

Built on OpenAI's foundation model and trained and validated against global food and beverage industry COAs, IDP delivers accuracy and reliability, even as COA formats evolve, said TraceGains. IDP automatically reviews inbound COAs against required specifications, flagging potential issues where additional human oversight is needed. In time-in-motion studies, IDP eliminated the average 12-minute per-page manual setup previously required, reducing implementation times while ensuring data integrity and compliance, said TraceGains.

In today's disparate food and beverage supply chains, millions of non-standardized documents circulate annually between suppliers, manufacturers and retailers, containing mission-critical information on ingredient specifications, food safety, allergen declarations and sustainability data, said TraceGains. IDP leverages advancements in AI and natural language processing to extract relevant information from these non-standard documents, transforming them into structured, composable data that integrates with TraceGains solutions and flows across the supply chain.

Unlike solutions based on static, zoning-based Optical Character Recognition (OCR) technologies, IDP leverages advancements in AI to read unfamiliar and non-standard document formats with accuracy, said TraceGains. The system learns over time, enhancing data extraction and accuracy as more documents are processed. Early trials demonstrate higher accuracy than legacy methods, potentially matching or exceeding the accuracy of human comparison at much higher speeds, said TraceGains. This level of accuracy can be critical in preventing the leading causes for recalls or unsafe products such as contamination, equipment damage and compliance violations, said the company.

"With the release of IDP, TraceGains is reinforcing its legacy and leadership as an F&B innovator by applying our domain expertise to advancements in AI and passing that advantage and power to customers," said Greg Heartman, vice president, product management, TraceGains. "By combining our rich contextual TraceGains data with the OpenAI model, we've created a vertical-specific AI solution for brands to manage the continual quality of their supply chain and ensure consumer food safety."