Ensuring Food Safety and Traceability Through Digital Solutions

How connected software and real-time data visibility help F&B manufacturers meet tightening regulatory requirements, contain recalls faster, and turn traceability from a compliance burden into operational intelligence.

The average food recall in the United States costs $10 million in direct expenses alone. That figure, cited consistently across industry analyses, covers product retrieval, disposal, regulatory response, and immediate operational disruption. It does not cover the slower, more corrosive damage: the retailer relationships that take quarters to repair, the brand perception that takes years to recover, and the consumer trust that may never fully return.

A 2024 analysis from Food Safety News documented that total recall rates in the U.S. increased 15% between 2020 and 2024, while a May 2025 bi-monthly FDA report recorded a 93% spike in food recalls for the first four months of the year compared to the same period in 2024. Meanwhile, Deloitte research shows that 71% of consumers now consider traceability an important factor in their purchasing decisions, and 59% hesitate to repurchase a brand that has experienced a recall.

The operational pressure is real. The regulatory pressure is accelerating. And for most food and beverage manufacturers, the systems in place to manage food safety traceability were designed for a simpler, slower world.

Key Takeaways

• Most F&B companies cannot complete a full lot trace within 24 hours using current manual and ERP-based systems, despite regulatory expectations to the contrary
• FSMA 204, EU General Food Law, and emerging EU Due Diligence regulations are driving requirements for lot-level, real-time digital traceability across the entire supply chain
• A manufacturing execution system (MES) with embedded lot tracking is the foundational layer for production-level traceability, capturing data automatically rather than relying on manual entry
• End-to-end traceability requires connecting production systems to supply chain visibility tools, extending both upstream to suppliers and downstream to distribution
• Organizations that invest in digital traceability infrastructure gain not only compliance assurance but also operational intelligence: improved yield, faster waste identification, and more defensible quality data

The traceability gap: why paper and ERP are no longer enough

The EU General Food Law, Regulation EC 178/2002, has required food business operators to trace products one step forward and one step back in the supply chain since 2005. On paper, most large F&B manufacturers comply. In practice, the ability to execute that trace quickly enough to matter in a recall scenario is far less common.

The gap between regulatory compliance and operational readiness shows up clearly during mock recall exercises. Regulators and industry auditors consistently find that companies can, eventually, reconstruct the movement of a contaminated batch. The problem is the timeline. When traceability data lives in a combination of ERP exports, paper-based batch records, and spreadsheets maintained by individual plant teams, that reconstruction takes days. Food safety incidents do not wait.

The World Economic Forum's analysis of traceability in food value chains identified fragmented, siloed data as the primary structural barrier to effective traceability. Large organizations frequently have critical information scattered across supply chain, procurement, quality, and logistics teams, each using different systems with different data formats and different update cadences. Smaller companies often rely on paper documents and spreadsheets.

The consequences extend beyond regulatory risk. Every hour a recall takes to scope and execute is an hour during which contaminated product may reach additional consumers. Every batch incorrectly identified as affected and withdrawn unnecessarily is product waste and lost revenue. And every traceability gap that comes to light during an audit creates liability exposure that no amount of goodwill can fully offset.

The companies reducing this exposure are not doing so by adding more manual steps or more dedicated compliance staff. They are building data infrastructure that captures traceability information automatically, at the point of production, without depending on human data entry after the fact.

The regulatory landscape is tightening - and fast

Food safety traceability requirements have always existed. What has changed over the past two years is the specificity of what regulators expect, and the pace at which new requirements are coming into force.

EU General Food Law (Regulation EC 178/2002): The foundational requirement for one-step-forward, one-step-back traceability remains the baseline. Operators must identify suppliers and customers, maintain traceability records for at least five years, and be able to retrieve and communicate that information rapidly during safety incidents.

FSMA Section 204 (Food Traceability Final Rule): The U.S. FDA's rule requiring additional traceability records for foods on the Food Traceability List was originally set for a January 2026 compliance date. The FDA subsequently extended that deadline to July 20, 2028, acknowledging the coordination required across supply chain partners. The core requirement remains: manufacturers must capture Key Data Elements (KDEs) at Critical Tracking Events (CTEs) - including harvesting, cooling, packing, shipping, and receiving - and provide that information to the FDA within 24 hours of a request. Paper records filed on a desk do not meet that standard.

EU Regulation 2025/2650 (Due Diligence Statements): This regulation sets binding compliance dates for large and medium operators on December 30, 2026, requiring operators to submit Due Diligence Statements via the EU information system, supported by plot-level traceability from farm to finished product. This represents a significant step beyond "one step back" traceability: it requires documented chain of custody extending to agricultural origin.

CSRD (Corporate Sustainability Reporting Directive): Although not a food safety regulation per se, the CSRD's Scope 3 emissions reporting requirements create a parallel traceability demand. For most food and beverage companies, Scope 3 represents 80-90% of total emissions, primarily from agricultural supply chains. Documenting carbon intensity across ingredient sources requires the same lot-level, supplier-level traceability infrastructure that food safety regulations demand.

The convergence of these requirements means that building traceability systems purely for one regulatory purpose is increasingly inefficient. The data infrastructure required for FSMA 204 compliance overlaps significantly with what CSRD Scope 3 reporting requires. Organizations that build shared, connected systems capture compliance value across multiple regulatory frameworks simultaneously.

What digital traceability looks like on the shop floor

Traceability on the shop floor begins with a basic question: can you identify, for every unit of finished product, exactly which raw material lots were used, which production line processed them, at what time, under which conditions, and by which operators?

For most F&B manufacturers, answering that question accurately depends on how well the MES captures production data at the moment of production. A well-implemented MES records lot and batch information automatically as ingredients are consumed and products are created, generating a complete batch genealogy without requiring operators to fill in paper forms or update ERP records retroactively.

This matters for several reasons beyond recall management.

First, shelf life management. Food and beverage manufacturing is one of the few industries where time is literally embedded in every unit of product. Most ERP systems handle FIFO (First In, First Out) inventory allocation reasonably well. FEFO (First Expiring, First Out) requires something more: knowing not just when product arrived, but when it was produced, what its current remaining shelf life is, and how that shelf life changes as product moves through different temperature zones in the supply chain. An MES that captures production timestamps and integrates with inventory systems enables FEFO allocation based on actual shelf life data, not estimated expiration dates.

Second, quality control integration. Traceability without quality data is incomplete. When a deviation from specification occurs, the ability to link that quality event to a specific raw material lot, production run, equipment state, and operator team is what transforms a quality incident into actionable intelligence. Digital MES systems that capture quality measurements alongside production data enable root cause analysis in hours rather than weeks.

Third, the difference between real-time and retroactive traceability. Retroactive traceability means you can reconstruct what happened after the fact. Real-time traceability means you can see what is happening now: which lots are in process, where they are in the production sequence, what quality checks have been completed, and what exceptions have been flagged. The value of real-time visibility is not just faster recalls. It is the ability to intervene before a problem becomes a crisis.

Connecting production traceability to supply chain visibility

Production-level traceability is necessary but not sufficient. A contamination event rarely originates on the production line. It typically comes from an ingredient supplier, travels through receiving and storage, enters production, and then distributes across multiple customers before detection. Effective traceability requires visibility at every stage.

Upstream, this means extending traceability beyond your own four walls to your ingredient and packaging suppliers. When a supplier ships a lot of raw material, the traceability record should include not just your receiving data but the supplier's lot information, production date, and quality certification. Integrating that data into your own systems, rather than treating it as a paper certificate filed in a binder, is what enables rapid upstream traceback when a contamination source is identified in a finished product.

Downstream, traceability must connect production records to warehouse management and outbound logistics. Which pallets of product X left your facility on what date? Which customers received which lots? How were those lots stored and transported? This information, connected in a single system rather than distributed across separate databases, is what allows a recall scope to be defined in minutes rather than reconstructed over days.

The integration layer that makes this possible is supply chain visibility: a control tower capability that aggregates data from production systems, warehouse management, logistics, and supplier portals into a single operational view. When an exception is detected, whether a quality hold on a raw material lot, a deviation in a production batch, or a customer complaint that matches a specific production date, the system surfaces the affected supply chain records immediately and identifies the scope of exposure.

This is not a theoretical capability. It is a practical requirement for any F&B manufacturer operating at scale with multiple SKUs, multiple production lines, and multiple distribution channels. The organizational and technical investment required is real. The alternative - managing a recall through spreadsheets, email chains, and phone calls across the supply chain - is consistently more expensive and slower.

The business case: compliance as competitive advantage

The standard framing for food safety traceability investment is risk mitigation: spend money on systems now to avoid larger costs later. That framing is accurate but incomplete.

Deloitte's consumer research found that 71% of consumers consider traceability important when purchasing food products, and that a meaningful share are willing to pay a price premium for products with demonstrable traceability. In premium food segments - organic, sustainably sourced, specialty origin - provenance documentation is already a commercial differentiator, not just a compliance requirement.

Retailer requirements are a related pressure point. Major retail chains, particularly in Europe, have been moving their supplier traceability requirements well beyond regulatory minimums. A supplier who can provide lot-level, real-time traceability documentation - and demonstrate the capability to recall and scope a product issue within hours rather than days - presents a fundamentally different risk profile than one who cannot. That risk profile matters in supplier assessment processes, category reviews, and commercial negotiations.

The insurance dimension is also material. As recall insurance premiums have risen alongside recall frequency, the ability to demonstrate robust digital traceability systems reduces exposure in ways that actuaries can quantify. A documented traceback capability that can scope a recall to a specific lot within hours, rather than recalling an entire production week, translates directly to lower maximum exposure on recall insurance claims.

Finally, there is the operational intelligence dimension that tends to be undervalued in compliance-focused conversations. The data captured for traceability purposes, lot-level ingredient consumption, production parameters, quality measurements, yields, waste events, is also some of the most valuable data available for process improvement. Organizations that structure their traceability data for operational analysis gain visibility into yield variability by raw material lot, quality trend correlations by supplier, and waste patterns by production sequence. These insights, accessed through the same system that supports compliance, drive the kind of continuous improvement that compounds over time.

The global food traceability market reflects this convergence of compliance and commercial value. Global Market Insights projects the market will grow from approximately $15 billion in 2025 to $45 billion by 2034, representing a 13% CAGR driven by both regulatory pressure and competitive dynamics. Software solutions lead adoption, with food manufacturers and processors capturing the largest revenue share of the category.

A practical roadmap for implementing digital traceability

The organizations that implement digital traceability successfully share a common approach: they start with the highest-risk, highest-value point in the production process and expand from there. They do not attempt to digitize everything simultaneously.

Step 1: Map your current state honestly. Document where traceability data currently lives: which systems, which paper records, which spreadsheets. Identify the steps in your process where data capture breaks down or relies on manual entry. This assessment drives prioritization.

Step 2: Anchor at production. The MES is the right place to begin. Automating lot tracking and batch genealogy at the production level creates the foundational data record that all downstream traceability depends on. Without accurate, real-time production data, connecting warehouse and logistics records adds less value than it should.

Step 3: Integrate with your ERP. Traceability data in a standalone MES is useful. Traceability data connected to your ERP, with visibility into purchase orders, goods receipts, inventory movements, and outbound shipments, is substantially more powerful. This integration is where most of the complexity lies, and where implementation partners with F&B-specific experience add the most value.

Step 4: Extend to warehouse and logistics. Once production traceability is solid, connect warehouse management to capture lot-level movements through storage and dispatch. This is where FEFO allocation becomes manageable and where outbound traceability records (which lots went to which customers on which dates) are generated systematically.

Step 5: Build supplier data integration incrementally. Full upstream traceability, extending to agricultural origin as EU Regulation 2025/2650 requires, is a multi-year program for most organizations. Prioritize the ingredient categories with the highest regulatory risk and build supplier data integration progressively rather than attempting a simultaneous rollout.

Step 6: Test with a mock recall. Periodically run a documented mock recall exercise against a real production lot. How long does it take to scope the affected inventory? What percentage of the traceback is completed from system data versus manual reconstruction? This exercise both validates the system and identifies remaining gaps more clearly than any audit.

The critical enabler across all of these steps is data quality. A traceability system is only as good as the data it contains. Operator training, process standardization, and exception management workflows that catch data entry errors before they propagate through the system are not glamorous investments. They are the difference between a traceability system that works and one that looks good in a vendor demo and fails in an actual recall scenario.

Conclusion

Food safety and traceability have always been operational imperatives for F&B manufacturers. What has changed is the precision and speed that regulators, retailers, and consumers now expect. The one-step-forward, one-step-back requirement that formed the baseline in 2005 has given way to demands for lot-level digital records, 24-hour regulatory response capability, and supply chain transparency extending from farm to fork.

The manufacturers best positioned for this environment are not those with the most sophisticated technology. They are those with the most reliable data: captured automatically at production, connected across supply chain systems, and accessible within minutes rather than days. That data infrastructure is built incrementally, starting with production and extending outward. It delivers compliance value across multiple regulatory frameworks, commercial value in retailer and consumer relationships, and operational value through the intelligence embedded in traceability records.

For supply chain and operations leaders in F&B, the question is less about whether to invest in digital traceability and more about where to start and how to sequence it.

Ready to see how connected manufacturing and supply chain solutions address traceability requirements in F&B operations? Explore how Elisa IndustriQ approaches food and beverage manufacturing challenges - or contact us to discuss your specific traceability and compliance requirements.