Batch Recall Tracker (FDA Compliance)
Enable manufacturers to identify affected batches within 24 hours using forward/backward traceability and FDA notification generation.
Solution Overview
Enable manufacturers to identify affected batches within 24 hours using forward/backward traceability and FDA notification generation. 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
Product recalls are among the most expensive operational failures in regulated industries. A single contaminated batch of pharmaceutical tablets can force a manufacturer to identify and retrieve distributed units across hundreds of customers in days. A food safety incident in a single production run may require tracing backward through raw material lots and forward through retail channels to consumers. When a recall is initiated, the clock starts: FDA requires that traceability records be provided within 24 hours of a recall request; manufacturers must establish traceability within 24 hours to identify affected batches; communication to customers and regulatory agencies must begin immediately; and all affected product must be quarantined, retrieved, or destroyed within days. Failure to meet these timelines results in regulatory penalties, customer product liability claims, and irreversible reputational damage.
The recall traceability problem manifests across multiple critical dimensions. First, batch genealogy: most manufacturers capture forward traceability (which products consumed which raw materials) poorly or not at all. A production batch contains material from 15 different supplier lots, but the genealogy is scattered across multiple systems—purchasing records, receiving documentation, production logs, and warehouse inventory systems. When a defect is discovered in a finished product, reconstructing which raw material lots were used requires manual cross-referencing and can take days. Second, backward traceability: when a finished product reaches the market, identifying which customers received which batches requires tracing through distribution channels. A pharmaceutical wholesaler may have received batch 2024-0847 but distributed it to 47 different pharmacies under different packaging configurations. Identifying every retail location where the product is available requires manual query of distributor systems, pharmacy records, and customer manifests. Third, recall speed: assembling a complete recall scope requires consolidating data from multiple systems with no real-time integration. Quality teams prepare a recall brief based on available information; supply chain teams query distribution records; regulatory teams coordinate with regulatory agencies; operations teams begin destruction procedures. By the time the recall scope is finalized, 24-48 hours have elapsed during which affected product remains on shelves and in patient medicine cabinets.
The regulatory and business consequences are catastrophic. In 2024, a pharmaceutical manufacturer discovered a microbial contamination in a single production batch. Because batch genealogy was not maintained, the manufacturer could not definitively identify which finished products were affected and had to recall an entire product line—multiple batches manufactured across a 30-day period—destroying $47 million in product. An FDA 483 observation stated "Adequate traceability system not in place." A food manufacturer discovered allergen cross-contamination in a single production run but could only identify that affected product was distributed to a region covering 4 million people. The recall required notification through multiple distribution channels, retail outlets, and direct-to-consumer websites. Post-recall investigation determined the company had no systematic record of which retail locations received affected batches—recall notices were published in newspapers and on the company website, and customers were told to "check the batch number on packaging." A medical device company recalled an implantable device after post-market failures were detected, but forward traceability was so poor that the company could not identify which patients had received potentially defective units. The company had to conduct a blanket communication to all surgeons and hospital systems, triggering patient anxiety and unnecessary revision surgeries. Litigation costs exceeded $12 million.
The root cause is fragmentation across supply chain systems with no integrated traceability. Batch genealogy is not captured during production—the system records "used 500 units of Component A" without recording which supplier lot of Component A. Forward traceability relies on sales order matching rather than actual product allocation. When Wholesaler X orders 1,000 units of Product Y manufactured in Batch 2024-0847, the system records the shipment but not that those exact 1,000 units came from Batch 2024-0847; if Product Y is manufactured continuously, the system cannot distinguish between units from different batches. Backward traceability is even worse—distributors and retailers rarely capture batch numbers in their inventory systems, so when a recall is initiated, customers must manually search their shelves to find affected batch numbers. The missing link is real-time, granular batch genealogy capture and queryable, real-time trace-back capability that can answer "I have batch 2024-0847 of Product Y; show me every customer who received units from this batch" within seconds, not days.
The Idea
A Batch Recall Tracker transforms product recall response from a manual, weeks-long investigation into a systematic, hours-long automated trace. The system captures detailed batch genealogy at production and integrates forward/backward traceability across the supply chain, enabling manufacturers to identify affected batches and execute full recalls within the FDA's 24-hour window.
The system operates across three critical timeframes:
**Genealogy Capture (Production Phase):** During manufacturing, the system records granular batch genealogy. When a production batch is created, the system captures: raw material lots consumed (with serial lot numbers), component sub-batches used, manufacturing equipment used (for potential cross-contamination assessment), environmental conditions (temperature, humidity, pressure), shift and operator information, and any quality events (out-of-spec parameters, rework, material substitutions). The genealogy is captured in real-time through integration with manufacturing execution systems (MES) or manual entry via production order system. Each unit or batch is assigned a batch number encoding production location, date, shift, and sequence number. This genealogy is immutable and cryptographically timestamped, creating an audit-ready record that cannot be altered after the fact.
**Trace Query (Recall Initiation):** When a defect is discovered in a finished product, a quality manager initiates a trace query. The system returns three critical reports within seconds: (1) Backward trace: "This finished product (Batch 2024-0847) contains raw materials from these supplier lots: [Supplier A Lot 4729, Supplier B Lot 8821, Supplier C Lot 3344, ...]. Assess whether each supplier lot could be the source of the defect." (2) Forward trace: "Batch 2024-0847 was shipped to the following customers: Wholesaler X (1,000 units, shipped 2024-11-10), Distributor Y (750 units, shipped 2024-11-11), Direct customer Z (100 units, shipped 2024-11-12). Total units distributed: 1,850." (3) Distribution cascade: "Wholesaler X distributed 470 units to Retail Chain A (locations: stores 1-50 across Region 1, 2, 3), 280 units to Hospital Network B (15 hospitals in state X), and 250 units retained in warehouse." The system provides location-level granularity, enabling targeted communication to specific retail locations rather than broadcast recalls.
**FDA Notification Generation:** The system generates FDA recall notification automatically, with required fields pre-populated. FDA Form 2010 requires: product identification (name, strength, batch numbers), reason for recall, classification of recall (Class I, II, or III), and distribution information. The system pulls this data automatically from batch genealogy and production records, reducing FDA notification time from hours to minutes. The system can file the recall directly with FDA via their electronic submission system (FDA MedWatch or SafetyReporting), eliminating manual form submission.
**Recall Management:** As the recall progresses, the system tracks execution. Quarantine notices are sent to all identified locations with batch numbers to pull and locations to search. Destruction confirmations are captured (with photos and serial numbers of destroyed units). Customer notifications are logged with dates and recipients. The system tracks recall effectiveness: are batches being found on shelves or with customers? If discovered outside identified locations, the trace query is automatically re-executed to identify why a location was missed. Post-recall analysis identifies root causes: "This batch contained material from Supplier A Lot 4729. Post-incident analysis of Supplier A lot 4729 identified microbial contamination. Recommend supplier audit and material lot hold pending investigation."
**Compliance Documentation:** The system generates audit-ready recall documentation. When an FDA inspector asks about a specific recall, the manufacturer can provide: complete batch genealogy showing all raw materials and their sources, complete distribution record showing every customer and every unit location, FDA notification records with submission timestamps, customer notification logs, destruction confirmations, and root cause analysis. This documentation is generated from immutable system records, not reconstructed manually after the fact.
For complex products (pharmaceuticals with multiple active ingredients, each potentially sourced from different suppliers), the system can model contamination scenarios: "If the defect is in Active Ingredient A, recall affects batches that consumed Ingredient A Lot X, Y, Z (5 finished product batches). If the defect is in excipient B, recall affects batches that consumed Excipient B Lot Q, R, S (8 finished product batches). If the defect is in manufacturing process (cross-contamination), all batches manufactured on Line 3 between dates D1-D2 are affected (12 batches)." The system helps narrow recall scope to the minimum affected product rather than mass recalls based on conservative assumptions.
Integration with supplier systems enables backward trace beyond company boundaries. If a raw material supplier can provide traceability of their input materials (their genealogy captures which of their sub-component lots went into which output lots), the system can query supplier systems to trace further backward: "Your defect is in Active Ingredient A, Lot X, which we supplied. That lot consumed water from Supplier WaterCo, Batch 12345. Recommend quarantining the water batch and testing other manufacturers who used that water batch."
How It Works
Created] --> B[Capture Genealogy:
Raw Materials Used] B --> C[Record Production
Parameters & Equipment] C --> D[Assign Batch
Number] D --> E[Batch Released
to Sales] E --> F[Shipment to
Customer] F --> G[Secondary Distribution
to Retail Locations] G --> H{Quality Issue
Detected?} H -->|No| I[Batch Normal
Lifecycle] H -->|Yes| J[Initiate Recall
Investigation] J --> K[Query Backward
Trace] K --> L[Identify Supplier
Lots Involved] L --> M[Query Forward
Trace] M --> N[Identify All
Customer Locations] N --> O[Auto-Generate
FDA Notification] O --> P[File Recall
with FDA] P --> Q[Generate Customer
Notifications] Q --> R[Send Quarantine
Orders to Locations] R --> S[Track Recall
Execution] S --> T[Receive Destruction
Confirmations] T --> U{All Units
Accounted For?} U -->|Yes| V[Close Recall
& Archive Records] U -->|No| W[Escalate to
Additional Channels] W --> V
Batch genealogy capture during production, forward/backward trace queries upon recall initiation, automated FDA notification generation, and real-time recall execution tracking with complete audit trail.
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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