Lot Traceability System
Complete genealogy from raw materials to finished products with forward/backward trace queries for FDA FSMA compliance.
Solution Overview
Complete genealogy from raw materials to finished products with forward/backward trace queries for FDA FSMA compliance. This solution is part of our Production category and can be deployed in 2-4 weeks using our proven tech stack.
Industries
This solution is particularly suited for:
The Need
Pharmaceutical manufacturers, food producers, and medical device companies face a regulatory mandate of existential importance: prove the complete genealogy of every finished product from raw material receipt through customer delivery, and enable tracing backward from any finished product to identify all component lots that contributed to it. FDA Food Safety Modernization Act (FSMA) Section 204 requires food companies to identify the source of any ingredient and trace its path through the supply chain within 24 hours of notification. FDA 21 CFR Part 211 (cGMP) requires pharmaceutical manufacturers to maintain batch records showing all component materials, equipment, and processes used to manufacture each batch. A single product recall triggered by a contaminated raw material can affect hundreds of thousands of finished units across multiple customer orders. Without rapid traceability, a company must either destroy massive quantities of product conservatively (product waste exceeding $10-50M) or distribute recalled products to customers and face legal liability. The regulatory consequences are equally severe: FDA Warning Letters, product seizures, shutdown of manufacturing lines, and loss of market access.
The problem is systemic across most manufacturing organizations. Production records are fragmented across multiple systems: raw material information lives in the ERP system, but the quantities actually used in production are logged in manual worksheets or separate production tracking systems. When a raw material supplier issues a recall notice, quality teams must manually cross-reference material lot numbers against production work orders, identify which finished batches consumed the recalled material, trace those finished batches to customer shipments, and generate a recall notification—work that routinely takes 3-7 days rather than the 24-hour requirement. For products with multiple component lots (a typical pharmaceutical might use 15-30 different raw materials per batch, each from different suppliers and different lots), tracing becomes exponentially complex. Even with dedicated traceability coordinators, manual tracing is error-prone: a single missed batch or mislabeled material lot can result in recalled products slipping through to customers undetected. For food companies with hundreds of supplier lots flowing through blending and consolidation operations, backward tracing becomes nearly impossible—when a pathogen is detected in a finished product, investigators cannot reliably determine which supplier lots were blended into it without painstakingly reviewing production records.
The financial and operational consequences are catastrophic and quantifiable. A pharmaceutical manufacturer with a contamination issue in a single raw material lot discovered post-manufacture had to recall 47 finished product lots affecting 1.2 million units distributed to 340 hospitals and clinics. Because the company's traceability system was inadequate, it took 18 days to identify and notify all affected customers—far exceeding FDA 24-hour expectations. The company incurred $8.3M in product replacement costs, $2.1M in logistics and reverse-logistics, $1.7M in regulatory and legal response, and suffered severe reputational damage leading to a 15% customer base loss. A food manufacturer's traceability failure led to a Salmonella outbreak affecting 450 consumers across six states. The company could not determine the source of contamination in its supply chain, could not trace finished products back to supplier lots, and could not identify which customers received affected product. This resulted in a mandatory FDA import alert, 16 weeks of manufacturing shutdown, $12M in product destruction, and class action litigation. A medical device company's lack of traceability meant it could not support FDA's demand to retrieve a contaminated component lot from the field within 48 hours, resulting in an FDA Warning Letter and mandatory product recall. These aren't rare incidents—they represent systemic operational failures across manufacturing organizations that lack comprehensive material genealogy systems.
The root causes are architectural and process-based. First, fragmentation: raw material information, production consumption, and finished product information are stored in separate systems with no real-time linkage. When production consumes materials, the actual consumption is recorded in handwritten logs, mobile apps, or separate tracking systems that do not feed back to the central ERP system. There is no definitive answer to the question "What raw material lots were consumed in the production of finished batch X?" Second, consolidation and blending: when multiple raw material lots are consolidated into intermediate bulk containers or blended together (a common operation in food and pharmaceutical manufacturing), the genealogy becomes complex. Traceability systems must track not just component lots, but the portion of each lot that went into which intermediate container, then track which intermediate containers flowed into which finished batches. Third, commingling: when multiple production batches use the same equipment with residual carryover of previous batches, or when inventory items are commingled in storage, traceability must account for cross-contamination risk. Fourth, no real-time correlation: most systems cannot correlate a recall notice (referencing a supplier lot number and date range) against production records in real-time to identify affected finished batches. Fifth, regulatory documentation gaps: even when companies have production records, they cannot generate FDA-compliant traceability reports demonstrating the complete chain of custody from raw material through finished product.
The regulatory risk is severe and escalating. FDA FSMA Section 204 audits explicitly test companies' ability to respond to simulated recalls within 4 hours and identify affected products. FDA 21 CFR Part 211 Warning Letters increasingly cite inadequate lot tracing and batch genealogy documentation as critical findings. EU regulations (including the recent EU Delegated Regulation 2023/2038 on animal feed traceability) impose similar requirements. Customers in highly regulated industries (pharmaceutical companies with products sold globally, medical device manufacturers selling to hospitals) increasingly contractually require suppliers to demonstrate rapid traceability capability. A single regulatory finding that a company cannot trace its products drives customers away to competitors with certified traceability systems. For publicly traded companies, inadequate traceability leading to an unsuccessful product recall creates SEC disclosure obligations and shareholder liability exposure.
The Idea
A Lot Traceability System transforms fragmented production records and manual traceability processes into a complete, real-time genealogy system that answers critical questions instantly: "What raw material lots are in finished batch X?", "Which finished product batches contain material lot Y?", and "Can we identify all affected products within 24 hours?" The system operates on a simple principle: every time a raw material moves into production (consumption event), the system records a complete genealogy link capturing the raw material lot, the quantity consumed, the production batch consuming it, the timestamp, and the operator performing the action. This creates an immutable traceability spine that can be queried backward (from finished product to raw materials) or forward (from raw material to finished products).
The system begins at raw material receipt. When a supplier shipment arrives with a specific lot number, expiration date, and quantity, the system captures this in the material master. The raw material is assigned to specific storage locations (bins, shelves, containers), creating location-level inventory records. As production orders begin, operators scan the production work order barcode and then scan raw material barcodes. For each material consumption event, the system records: production order ID, raw material lot number, quantity consumed, consumption timestamp, operator ID, equipment used, work center, and batch number assignment. Unlike traditional systems where consumption is recorded in separate worksheets and only reconciled post-production, this system creates real-time traceability links as materials are used.
For consolidation operations (when multiple material lots are combined into a single bulk container), the system maintains the genealogy of the bulk container. When lots A, B, and C are combined into bulk container BC-001 at a 30/40/30 split, the system records: "Bulk container BC-001 contains 30% of lot A-2024-001 (120 units), 40% of lot A-2024-002 (160 units), 30% of lot A-2024-003 (120 units)". When BC-001 is later split across three production batches (40 units to batch P-001, 80 units to batch P-002, 160 units to batch P-003), the system calculates the proportion of each original lot in each batch: "Batch P-001 contains approximately 12 units from lot A-2024-001 (proportional to split), 16 units from lot A-2024-002, 12 units from lot A-2024-003". This maintains traceability through complex manufacturing operations.
For cross-contamination scenarios (when equipment residual carryover could introduce material from a previous batch), the system correlates equipment genealogy with production sequence. When an operator produces batch P-001 with raw material lot R-2024-100, then produces batch P-002 with raw material lot R-2024-101 on the same equipment without cleaning validation in between, the system flags this as a potential cross-contamination risk and records it in the genealogy: "Batch P-002 may contain cross-contaminated material from batch P-001 due to equipment reuse without validated cleaning". This becomes visible during traceability investigation.
When a supplier issues a recall (e.g., "Lot S-2024-4521 of sodium chloride is under recall due to microbial contamination; recall issued 2024-11-21"), the system enables instant impact assessment. The user enters the supplier lot number and date range into a backward trace query. The system responds within seconds: "Supplier lot S-2024-4521 was consumed in production batches P-001, P-003, P-007, and P-012 between 2024-11-15 and 2024-11-19. These batches were shipped in finished product lots FP-2024-847, FP-2024-848, FP-2024-852, FP-2024-855. Current distribution: 240 units to Customer A (shipment SHIP-004521), 180 units to Customer B (shipment SHIP-004522), 320 units to Customer C (shipment SHIP-004523), 210 units to hospitals via distributor D. Recall notification emails with customer-specific impact data are ready to send." This transforms a process that takes 3-7 days into a process that takes minutes.
Forward tracing works with equal speed. When a customer returns a product due to a suspected contamination issue (finished product batch FP-2024-851), the system instantly identifies all raw material lots that contributed to it: "Batch FP-2024-851 contains: sodium chloride lot S-2024-4520 (12% by weight), maltose lot S-2024-3871 (25% by weight), gelatin lot S-2024-5042 (8% by weight), [15 additional lots]. Production date: 2024-11-16. Manufacturing equipment: Line B, Mixer M-003. Test results available for review." This enables quality teams to assess whether the customer's contamination issue traces to a specific raw material problem or to a production-line issue, determining the appropriate response (supplier investigation vs. equipment qualification vs. customer acceptance).
Regulatory reporting is automated and comprehensive. When an FDA inspector asks for traceability documentation, the system generates a complete, audit-ready report: "Traceability Report for Batch FP-2024-851. Raw material genealogy: [complete bill of materials with supplier lot numbers, quantities, and receipt dates]. Production genealogy: [equipment used, operators, time stamps]. Distribution genealogy: [finished product lot created, shipment details, customers and quantities]. Key dates: Material receipt 2024-11-10, production 2024-11-16, shipment 2024-11-17, customer received 2024-11-19. Any recall events: None as of this date." This report is generated in seconds and requires no manual compilation by quality staff.
For supply chain resilience, the system enables proactive material management. The system correlates supplier lot distributions with production schedules. When it identifies that three production batches rely exclusively on a single supplier lot (creating concentration risk), it alerts procurement: "Raw material S-2024-4520 (sodium chloride) from supplier ABC is used in three upcoming production batches (P-0455, P-0456, P-0457) totaling $340,000 of finished product revenue. If supplier ABC issues a recall, all three batches would be affected. Consider diversifying suppliers or adjusting production schedules." This enables proactive risk management rather than reactive crisis response.
The competitive advantage is substantial. Companies with certified traceability systems can market to regulated customers with confidence: "We can trace any finished product to its component materials within 4 hours and respond to supplier recalls within 24 hours, meeting or exceeding FDA FSMA requirements." They pass regulatory audits with minimal findings (auditors test traceability and accept automated system evidence rather than requiring manual investigation). They win contracts with large customers who contractually require rapid traceability capability. They reduce product recall costs by identifying affected batches precisely rather than conservatively recalling larger population to be safe. The operational transformation is significant: instead of maintaining large traceability coordinator teams, companies can manage traceability automatically through the system.
How It Works
Arrives] --> B[Scan Supplier
Lot Number] B --> C[Receive into
Inventory] C --> D[Record in
Material Master] D --> E[Production
Work Order] E --> F[Operator Scans
Work Order] F --> G[Operator Scans
Material Lot] G --> H[Record Consumption
Event] H --> I[Create Genealogy
Link] I --> J{Material
Consolidated?} J -->|Yes| K[Create Bulk
Container Record] J -->|No| L{Batch
Complete?} K --> M[Track Proportional
Allocation] M --> L L -->|Yes| N[Create Finished
Product Batch] L -->|No| H N --> O[Record Shipment
to Customer] O --> P[Link Finished Batch
to Distribution] P --> Q[Enable Traceability
Queries] Q --> R[Supplier Issues
Recall] R --> S[Enter Recall
Notice] S --> T[Query: Which
Batches Used
Recalled Lot?] T --> U[Auto-Generate
Impact Report] U --> V[Identify Affected
Customers] V --> W[Notify Customers
Within 24 Hours] Q --> X[Customer Reports
Issue] X --> Y[Enter Finished
Batch Number] Y --> Z[Query: What Raw
Materials Are in
This Batch?] Z --> AA[Display Complete
Genealogy &
Traceability] AA --> AB[Root Cause
Assessment]
Complete lot traceability system enabling backward traces from finished products to raw materials and forward traces from raw materials to customers, with automated recall response and FDA FSMA compliance.
The Technology
All solutions run on the IoTReady Operations Traceability Platform (OTP), designed to handle millions of data points per day with sub-second querying. The platform combines an integrated OLTP + OLAP database architecture for real-time transaction processing and powerful analytics.
Deployment options include on-premise installation, deployment on your cloud (AWS, Azure, GCP), or fully managed IoTReady-hosted solutions. All deployment models include identical enterprise features.
OTP includes built-in backup and restore, AI-powered assistance for data analysis and anomaly detection, integrated business intelligence dashboards, and spreadsheet-style data exploration. Role-based access control ensures appropriate information visibility across your organization.
Frequently Asked Questions
Deployment Model
Rapid Implementation
2-4 week implementation with our proven tech stack. Get up and running quickly with minimal disruption.
Your Infrastructure
Deploy on your servers with Docker containers. You own all your data with perpetual license - no vendor lock-in.
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