Cold Chain IoT Logistics Tracking

Client Partner: PharmaCold Transport · Build Timeline: 5 Months

0Cargo Spoiling Incidents

99.8%Real-Time Tracking Uptime

Project Tech Stack

C/C++MQTTAWS IoT CorePostgreSQLReactMapbox

Allocated Engineering Pod

IoT Engineerx1
Full-Stack Developerx2

"The alerts notify drivers immediately of shifts, saving cargo values."

Pierre Dupont

Director of Logistics

1. Context & Business Goal

The Core Challenge: PharmaCold faced regulatory issues when cargo temperatures shifted during shipment transport.

The Agreed Objective: Integrate temperature trackers with live alerting dashboards to verify shipment safety.

2. Technical Research & Discovery

Tested cellular data setups in remote routes to prevent tracking gaps. Prior to writing any code, our team compiled reference data frameworks and mapped API endpoints to identify speed limits.

3. System Architecture Design

Layout Scheme: Cargo overview dashboards with map tracking coordinates and temp logs.

[Client Interface Layer] <-- HTTPS/WSS --> [Next.js Edge Route Handler] | [gRPC API Service] | +-----------------------------+-----------------------------+ | | [TimescaleDB Time-series Grid] [Vector Grid / Milvus] | | [Kafka Message Logs Ingestion] [Secure Private LLM Pod]

Database Infrastructure Setup: Cellular hardware trackers sending temperature telemetry to AWS IoT platforms.

4. Production Implementation Lifecycle

Sensor Hardware Setup

Configured sensor logging levels to run on internal battery systems.

Alerting Engine

Programmed Twilio alerts to notify drivers when cargo temp shifted.

5. Validated Business Outcomes

✓Reduced pharmaceutical spoils to zero during transport.
✓Fully compliant with pharmaceutical logistics transport regulations.