Cold chain incidents are rarely resolved by a single temperature point. In global logistics, teams need a defensible timeline: where the asset was, when conditions changed, and what events occurred around the anomaly (exposure, shocks, prolonged dwell, or connectivity gaps). That is why EELink published this white paper—written for overseas operations, engineering, and compliance stakeholders who need implementable guidance.
GPT29 Cold Chain White Paper (PDF): Engineering & Compliance Guide for Freezer and Reefer Tracking
Prefer a short overview first? Read the companion article:
Announcing the GPT29 Cold Chain White Paper (Engineering & Compliance).
Who should read this white paper?
This document is designed for overseas cold chain programs where technical rigor matters:
- Engineering teams integrating IoT telemetry into a TMS/WMS/data lake.
- Operations teams designing exception workflows for temperature excursions and handling incidents.
- Quality and compliance teams that need audit-ready records for investigations and claims support.
- 3PLs and shippers running long routes with multiple handoffs (ports, terminals, bonded warehouses).
What the GPT29 monitoring approach covers
GPT29 is positioned for in-transit monitoring where “visibility” means more than a dot on a map. The white paper explains how to build an evidence-grade data stream using location plus environmental and event sensors, including:
- Near real-time location updates (reporting cadence is configurable and should be aligned to risk and battery targets).
- Temperature & humidity monitoring (and how to define excursions with threshold + duration semantics).
- Light exposure events to support investigations of suspected door-open / exposure incidents.
- Shock/vibration events to support handling-incident correlation and claims documentation.
- Offline continuity methods such as buffering, resend logic, and idempotency concepts for reliable ingestion.
Learn more about related cold chain monitoring concepts here:
Cold Chain Monitoring Tracking Device.
What you will learn inside (chapter highlights)
- Mission planning for long overseas routes: how to design reporting policies for a 60+ day operational window, depending on environment and requirements.
- Event definitions that survive audits: modeling temperature excursions and exposure/handling incidents as reviewable events.
- Data integrity techniques: buffering, resends, and deduplication patterns that prevent gaps and duplicates in downstream systems.
- Installation guidance for metal enclosures: practical placement patterns for freezers and reefer containers.
- Integration patterns: turning raw telemetry into a clean interface for your platform and dashboards.
Need integration or pilot support?
EELink is a hardware-first provider. We can support overseas teams that want to ingest GPT29 telemetry into their own systems with integration guidance, pilot planning, and installation best practices.