Track & Trace with Agentic AI on Private Cloud

Executive Summary

Global manufacturing enterprises operate across complex, multi-plant and multi-supplier ecosystems where traceability is critical for regulatory compliance, product quality, and recall preparedness. Traditional track and trace systems struggle with fragmented data, manual processes, and limited visibility across internal production and external supply chain networks.

Nexastack delivers an Agentic AI–powered Track & Trace platform that enables end-to-end visibility across inside-plant and outside-plant operations. Built on private cloud AI and sovereign AI infrastructure, Nexastack orchestrates specialized AI agents to automatically capture events, maintain tamper-proof genealogy, and execute recall workflows with enterprise-grade security and observability.

By combining real-time data ingestion, AI-driven lineage analysis, and autonomous workflow orchestration, manufacturers achieve audit-ready traceability, faster recall execution, and continuous quality improvement—without compromising data sovereignty or operational control.

Business Problem: Why Track & Trace Breaks at Scale

Inside Plant Challenges

• Manual or inconsistent capture of batch, lot, and transformation events

• Disconnected MES, SCADA, and quality systems

• Limited visibility into rework, scrap, and non-conformance events

Outside Plant Challenges

• Incomplete or delayed supplier and logistics data

• Inconsistent lot and serial formats across partners

• Lack of end-to-end chain-of-custody visibility

Compliance & Recall Risks

• Slow root-cause investigations

• High effort to prepare audit documentation

• Delayed or incomplete recall execution increases regulatory and brand risk

Business Goals

• Achieve complete traceability from raw material intake to final shipment

• Enable rapid recall readiness with precise impact identification

• Improve product quality and supplier accountability

• Reduce manual effort and data errors through automation

• Ensure compliance in regulated and sovereign data environments

What End-to-End Track & Trace Means

• Track – Forward visibility into where products, batches, and shipments move

• Trace – Backward visibility into material origin, suppliers, and production history

• Genealogy – Parent-child relationships showing how components transform into finished goods

Nexastack unifies all three across inside and outside plant operations.

Solution Overview: Nexastack Agentic Track & Trace

Nexastack provides a context-first, agentic infrastructure for enterprise traceability.

Core Capabilities

• Automatic registration of lot, batch, serial, and transformation events

• Unified traceability records across plants, suppliers, and logistics partners

• Real-time monitoring, alerts, and recall triggers

• Audit-ready dashboards and compliance reporting

Secure by Design

• Private cloud AI deployment for sensitive manufacturing data

• Sovereign AI controls for data residency, access, and governance

• Tamper-evident execution logs and policy-based workflows

High-Level Architecture

Data Sources → Event Normalization → Genealogy Graph → AI Agents → Orchestrated Workflows → Dashboards & APIs

• Inside Plant: IoT sensors, MES, SCADA, quality systems

• Outside Plant: Supplier systems, WMS, TMS, logistics milestones

• Agentic Layer: Autonomous agents validate data, analyze lineage, and trigger actions

• Deployment: On-prem, edge, or private cloud AI with centralized governance

Recommended AI Agents

• Track Agent: Captures movement and transformation events in real time

• Trace Agent: Maintains genealogy and performs recall impact analysis

• Data Quality Agent: Ensures completeness, consistency, and integrity of trace data

Key Workflows Powered by Agentic AI

1. Inside Plant Traceability

• Automated batch and lot registration

• Real-time capture of production, rework, and quality events

• Continuous validation of process data

2. Outside Plant Traceability

• Supplier lot ingestion and verification

• Shipment and logistics milestone tracking

• Unified visibility across partners

3. Recall Readiness Workflow

Input: Finished product serial or batch

Output:

• Upstream components and supplier lots

• Impacted production runs and shipments

• Automated containment and notification actions

• Audit-ready recall report

Example Scenario: Rapid Recall Investigation

A quality issue is detected in a finished product batch. Using Nexastack, the organization traces the product back through its entire production and supplier history in seconds. The system identifies affected lots, production lines, and shipped destinations, automatically triggering containment workflows and generating compliance documentation—significantly reducing response time and risk.

Results & Benefits

Business Impact

• Reduce time-to-trace from hours or days to minutes

• Improve recall containment speed by 50–80%

• Cut audit preparation effort by 30–60%

• Enhance product quality and supplier accountability

Technical Impact

• Scalable architecture across global plants and suppliers

• Real-time analytics for proactive issue detection

• Secure, compliant traceability using sovereign AI

Built for Regulated and Global Enterprises

• Data residency and access controls across regions (US, EU, GCC, APAC)

• Tamper-proof logs and signed execution for chain-of-custody

• Alignment with industry regulations across pharma, food, automotive, and electronics

Conclusion

Track & Trace with Agentic AI fundamentally transforms how manufacturers manage compliance, quality, and recall readiness. By combining AI agents, agentic orchestration, and private cloud AI infrastructure, Nexastack delivers secure, scalable, and audit-ready traceability across inside and outside plant operations—enabling enterprises to operate with confidence, transparency, and control.