As we look back on 2023, these were some of the most widely talked about and written about topics of the year.
In this white paper, by Dr. Bob Whitaker, a produce safety expert and veteran, you will learn about the outbreak investigations and outcomes, and how the timelines and outcomes may have been different had FSMA 204 been in place.
Many companies covered by FDA’s Food Traceability Rule, also known as FSMA 204, are focused on the January 20, 2026 compliance deadline. Taking a step back to look at the big picture, it’s important to recognize that the work we’re doing now will yield benefits far beyond compliance with current regulations.
Standardized data is the bedrock of compliance with FDA’s Food Traceability Rule, FSMA 204, facilitating use of the same language throughout the supply chain. This will allow for faster identification and rapid removal of potentially contaminated food from the market when there is an outbreak or recall.
If you’ve been following our Timeline to FSMA 204 Compliance series, you’re familiar with the Learn, Plan, Do, Review strategy we’ve referenced in Parts 1-3 of this series. Part 4 will discuss the timeline’s final but ongoing phase, “Review.”
By now you should’ve learned how the rule applies to your organization, created your traceability plan, and identified your method for capturing, storing, and sharing KDEs. Now it’s time to act and DO all the work you set out to do.
Maintaining quality can be challenging for discount retailers that have limited in-house expertise in selling produce, particularly at the distribution center and store levels. This is important because consumer surveys show that shoppers consider price, appearance, and quality when purchasing fresh produce.
AI, and specifically machine learning (ML) trained on big data, will increasingly play an important role in food quality management.
Artificial intelligence (AI) is the next frontier in our work to ensure that consumers are getting the highest quality fresh products in grocery stores and restaurants. But AI, and specifically the machine learning (ML) trained on big data, will increasingly play an important role in food quality management.
Andy Kennedy of New Era Partners, and co-writer of FSMA Rule 204, designed a timeline outlining the path to compliance. He recommends first LEARNING about FSMA 204 before you act and implement any new processes or systems, then PLANNING your path to compliance.