A Real-Time Decision System for Drivers
Explores the design of a fleet management mobile application for truck drivers to manage daily operations such as GPS tracking, ETA, driver status, and operational logs.
The focus is to create a clear, intuitive experience that supports quick understanding and action in real-world driving conditions.
The solution reimagines the app as a real-time decision support tool — helping drivers stay informed, compliant, and in control while on the road.
Is there any problem with the fleet operations?
Yessss, of course
Managing truck operations is complex and fragmented
Businesses spend significant time and resources managing fleets across regions, with limited real-time visibility into drivers, vehicles, and shipments.
Paperwork and compliance create heavy operational overhead
Cross-border shipping involves manual logs, inspections, and documentation, making booking, communication, and compliance slow and error-prone.
Middle Drivers struggle with data-heavy, hard-to-use tools
Existing apps are filled with logs, charts, and regulations, requiring drivers to interpret complex information while on the road.
Lack of real-time decision support
Leading to stress, mistakes, and potential violations
Disconnected workflows reduce efficiency
Key tasks such as inspection, logging, and delivery documentation are spread across multiple screens and systems, breaking the natural flow of work.
Don't worry, let's me try to solve it
If drivers are the backbone of logistics, why are the tools built for them still so hard to use?
An opportunity to improve efficiency and driver experience
By simplifying operations and providing real-time insights, the system can:
reduce operational overhead
improve compliance
support faster, more confident decision-making
Exploring driver workflows and constraints
To better understand how fleet operations work in practice, I analyzed existing driver apps, product documentation, and publicly available resources related to fleet management systems.
From this, several patterns began to emerge.
Key observations
Due to limited access to real drivers, this project focuses on synthesizing insights from existing tools and domain research.
Information gap
Drivers rely on multiple screens to understand their current status, making it difficult to act quickly while on the road.
HR support gap
Critical information such as remaining driving time and break requirements is not clearly prioritized
Information gap
Many workflows (inspection, logs, submission) are fragmented and interruptive, breaking the natural flow of driving tasks.
HR support gap
Drivers are expected to interpret complex compliance rules, instead of being guided by the system.
Information gap
Fleet managers lack real-time visibility into driver status and trip progress.
HR support gap
Communication between drivers and operations is often disconnected from specific trips or tasks
Learning from current solutions
How existing tools approach fleet management. To understand how fleet operations are currently supported, I reviewed several driver and fleet management applications, focusing on how they handle tracking, compliance, and daily workflows.
Existing solutions are fragmented —
some focus on compliance, others on tracking or operations,
but few provide a unified, driver-friendly experience.
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