Supply chain giant reduced shipment costs by 20% with AI

Turning fragmented data into actionable intelligence for real-time logistics operations

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35%

Longer device battery life

25%

Reduction in shipment costs and delivery times

40%

Lesser connectivity disruptions

Client overview

A shipment intelligence company powers resilient supply chains with 3 million IoT trackers worldwide. Since 2016 it has delivered real-time data on condition, location, and handling to support pharmaceuticals, perishables, and high-value assets across logistics.

Its sensors, analytics, and deployments give leaders insight to maintain quality, meet standards, and avoid disruptions. The platform safeguards medicines, preserves freshness, secures sensitive cargo, integrates with logistics, and was recognized for innovation in 2025.

Challenges

The sheer scale of System Loco's IoT ecosystem meant that every aspect - from battery management to data processing - needed to be reimagined from the ground up.

Balancing battery life with tracking

Maintaining the operational status of IoT devices throughout long shipping journeys was challenging under high-frequency data transmission.

Unreliable analytics

Unreliable predictions caused delivery delays and increased costs because multiple variables like traffic data, road conditions, and delivery priorities were involved.

Complex data transformations

The platform involved on complex data structures like nested columns, array fields, and JSON formats which was difficult to process and manage continously.

Solution

We implemented a comprehensive cloud-based architecture with integrated AI/ML capabilities to transform System Loco’s supply chain operations.

Analytics for longer device life

Leveraged predictive models to dynamically estimate power requirements and optimize device behavior, extending battery life by analyzing various factors in real-time.

Data warehousing

Created robust ETL pipelines to unify fragmented data sources and transform data, laying the foundation for advanced analytics while ensuring data quality and consistency.

Intelligent routing

Combined AI models to anticipate connectivity issues and recommend faster, more reliable delivery paths based on historical and real-time conditions.

IoT device management

Centralized monitoring of device health with remote firmware updates and issue resolution to ensure continuous operational visibility across the supply chain.

Business impact

Our solution delivered transformative results across System Loco's entire supply chain ecosystem.

Increase in battery life

ML models extended IoT device battery life by 35%, ensuring continuous operation during long shipment journeys and improving tracking reliability.

Reduced costs & faster deliveries

AI-driven route optimization reduced shipment costs by 20% and delivery times by 25%, enhancing customer satisfaction and operational efficiency.

Fewer connectivity disruptions

Predictive analytics reduced IoT device connectivity disruptions by 40%, ensuring seamless communication and real-time updates during shipment.

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