Case Study · Logistics & Fleet

Data-Driven Driver Performance & Fleet Management Platform

Logistics · IoT + AI · Driver Scoring · 10,000+ Vans · 25,000+ Drivers

The challenge

No visibility at fleet scale.

No unified performance visibility

A delivery service partner servicing 200+ logistics companies lacked a platform for data-driven driver performance management.

Unclean & noisy IoT data

Field data from IoT devices, video, and images was unclean and noisy — requiring sophisticated data management.

Manual driver scoring

No automated system for assessing driver performance across safety, efficiency, and delivery metrics.

Scale: 10,000+ vans daily

Managing 10,000+ vans distributing millions of packages daily required a customizable, enterprise-scale platform.

What we built

Enterprise IoT analytics.

Comprehensive IoT analytics

Processes data from IoT devices, video, and images to generate driver performance scores and fleet insights.

Sophisticated scoring systems

Assesses driver performance across safety and efficiency metrics to aid coaching, training, and development.

Advanced data management

Efficiently handles unclean and noisy field data from multiple heterogeneous sources with quality pipelines.

Customizable & scalable platform

The platform adapts to the specific operational needs of different logistics companies with configurable rules.

Results

Quantified outcomes.

10,000+

Vans — fleet operations streamlined.

25,000+

Drivers — sophisticated scoring and training support.

IoT + Video

Data integrated for comprehensive fleet analytics.

200+

Logistics companies serviced by the platform.

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