Investigating Cargo Loss in Logistics Systems using Low-Cost Impact Sensors

TL;DR

This paper proposes a scalable, low-cost impact sensor system for tracking cargo loss in logistics, aiming to reduce damage and improve supply chain reliability.

Contribution

It introduces a practical, scalable impact sensor architecture tailored for low-cost cargo, with design insights from a real-world use case.

Findings

Designed a low-cost impact sensor system

Demonstrated system scalability and ease of adoption

Provided real-world implementation insights

Abstract

Cargo loss/damage is a very common problem faced by almost any business with a supply chain arm, leading to major problems like revenue loss and reputation tarnishing. This problem can be solved by employing an asset and impact tracking solution. This would be more practical and effective for high-cost cargo in comparison to low-cost cargo due to the high costs associated with the sensors and overall solution. In this study, we propose a low-cost solution architecture that is scalable, user-friendly, easy to adopt and is viable for a large range of cargo and logistics systems. Taking inspiration from a real-life use case we solved for a client, we also provide insights into the architecture as well as the design decisions that make this a reality.