AI-Based Product Traceability in Manufacturing
A real-time AI-driven tracking solution for monitoring product flow, quality assurance, and compliance across manufacturing supply chains.
AI-Based Product Traceability in Manufacturing is a smart tracking solution designed to monitor every stage of the production lifecycle in real time. Powered by AI, the platform identifies, logs, and traces components from raw material intake to final product dispatch—enabling complete visibility and accountability.

MENA
FINTECH
10 people
9 months

01.
Challenges
Resolve data fragmentation by integrating ERP, MES, barcode scanners, and IoT devices to ensure consistent and unified product traceability.
Implement real-time monitoring dashboards to track product flow and immediately respond to defects or supply chain disruptions.
Automate traceability logs with tamper-proof records to meet regulatory standards like ISO, FDA, and automotive compliance, and support efficient recall processes.
02.
Solution
Build an AI-based traceability engine that integrates with barcode scanners, RFID, and PLCs for real-time component tracking across production lines.
Deploy a centralized dashboard to visualize product journeys, batch metadata, and milestone events with complete audit logs.
Apply machine learning to identify trace anomalies, detect mismatches in part IDs, and flag incomplete assembly records for immediate action.
Allow manufacturers to instantly generate compliance reports for ISO, FDA, and other standards to streamline audits and recalls.

OUR INPUT
Backend System Integration
Factory-Floor UI Development
Industrial UX Design
Traceability Strategy Consulting
Manufacturing Project Coordination
RESULT
We're proud of reaching new heights with our customers, helping them achieve advanced levels of scalability and stability.
Our FeaturesApp Functionality
Real-Time Product Tracking
Batch & Serial Number Management
Defect Origin Analysis
Process Stage Monitoring
Compliance Reporting Dashboard
QR/Barcode Integration
Operator Activity Logs
Automated Quality Checks
Supplier-to-Shopfloor Traceability

What we offersHOW WE DID IT

Technologies we Used
Creation Process
Initial Research and Team Structuring
- Conduct discovery sessions with manufacturing stakeholders to identify workflow inefficiencies, compliance needs, and traceability gaps.
- Assemble a cross-functional team including AI developers, MES/ERP integrators, and factory operations specialists.
- Define and prioritize features focused on traceability, batch tracking, and defect source detection across production lines.

Identifying Core Functionalities and Features
- Map real-time tracking needs from raw material intake to packaging using barcode and sensor integration.
- Define logic for component traceability, batch history, and product serialization with visual dashboard features.
- Set up smart validation rules to trigger alerts for trace breaks, rework loops, and incomplete assembly steps.

Understanding Business Needs and Technical Requirements
- Integrate AI models and machine vision to validate product stages and ensure compliance at checkpoints.
- Connect traceability logs to ERP systems and cloud storage for centralized reporting and audit readiness.
- Design data pipelines to maintain consistent flow of tagged metadata from shopfloor sensors to backend systems.

Strategic Planning for Application Enhancement
- Create a modular platform architecture to support multi-plant deployments with localized settings and formats.
- Implement predictive insights using collected trace data to preempt failures and optimize workflows.
- Plan future updates for supplier-to-consumer traceability, integrating blockchain and global compliance tagging.

Contact UsAccelerate Your Business with LasyaAitech


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