Track products across complex supply chains with real-time intelligence. Improve compliance, reduce recall risk, and build trust — across food, pharma, and manufacturing.
Trusted across regulated industries
Organizations face critical gaps in traceability that create compliance risk, slow recalls, and reduce trust across the supply chain.
Data is siloed across suppliers, logistics providers, and internal systems, making it impossible to establish a single, reliable source of truth. Product movement and handling events are not consistently recorded or accessible in real time.
Manual processes and incomplete records slow recall response times and increase scope. Delays during recall events lead to financial losses, regulatory penalties, and lasting reputational damage to brands.
Food and pharmaceutical industries require detailed documentation of product origin, processing, and distribution. Fragmented systems make compliance audits complex, time-consuming, and prone to costly errors.
Multiple stakeholders generate data in different formats and systems. Integrating this into a unified framework is resource-intensive, limiting the ability to perform end-to-end analysis or identify patterns and risks.
The Aperture AIoT Traceability platform combines IoT-based data capture with AI-driven intelligence to deliver continuous, item-level visibility across the entire supply chain.
Sensors, RFID tags, barcodes, and connected devices capture data at every stage — production, packaging, storage, and transportation — continuously transmitted into a unified platform.
AI models process this data to create a dynamic, real-time view of product movement, status, and history — identifying anomalies, predicting risks, and enabling rapid response.
Request a DemoPlatform Architecture
RFID, sensors, GPS, barcodes — every touchpoint recorded
Unified platform with supplier, batch, and environmental context
Anomaly detection, risk prediction, pattern analysis
Real-time visibility, compliance reports, rapid recall queries
A continuous, automated pipeline that converts raw supply chain events into actionable intelligence.
RFID tags, sensors, GPS devices, and production systems generate time-stamped events at every stage of the product lifecycle.
Supplier data, batch records, and environmental readings are unified into a single continuous digital record for each product.
Machine learning models detect anomalies, identify supply chain risks, correlate conditions with quality outcomes, and predict disruptions.
Real-time dashboards, automated alerts, compliance reports, and rapid recall query tools support both operations and strategy.
Every capability is designed around real-world operational and regulatory requirements across regulated industries.
View Full PlatformTrack individual items, batches, or lots with precise, time-stamped data — including unique identifiers, continuous tracking, and full lifecycle history.
Gain a unified view from raw material sourcing to final delivery across multiple facilities, partners, and geographies in real time.
Maintain a complete record of product ownership and handling — verifying custody transfers, handling procedures, and compliance at each stage.
Automate audit-ready documentation with time-stamped records of product movement and handling — integrated with regulatory frameworks.
Detect anomalies in supply chain behavior, predict disruptions or compliance issues, and analyze trends across products, suppliers, and regions.
Rapidly identify and isolate affected products during recall events — trace batches, pinpoint impacted locations, and minimize scope and response time.
Connect with ERP, warehouse management, and logistics systems — synchronizing traceability data across platforms and enhancing existing workflows without disruption. Traceability becomes part of daily operations, not a parallel process.
Purpose-designed traceability for the unique challenges of food, pharmaceutical, and manufacturing operations.
Identify affected products quickly and accurately, dramatically reducing response time and limiting scope of recall events.
End-to-end visibility provides clear understanding of supply chain operations, enabling better coordination and decisions.
Automated traceability records and reporting simplify audit processes and ensure continuous regulatory readiness.
Early anomaly detection helps prevent issues from escalating, protecting operations, revenue, and brand reputation.
Monitoring conditions and handling across the supply chain drives consistent improvement in overall product quality.
Automated data capture and AI analysis reduce manual work and streamline traceability processes across all sites.
Transparent supply chains build measurable confidence among customers, retail partners, and regulatory bodies — giving your brand a competitive advantage in trust.
The Aperture AIoT Traceability platform is engineered from the ground up to handle the complexity, scale, and regulatory demands of modern supply chains.
Begin with high-risk or high-value products and expand to full supply chain coverage. Our team will guide your phased implementation from day one.