Hyper-Routing Fleet Telematics & Predictive Safety Edge Inference

Optimize CapEx fuel consumption with dynamic, multi-variable algorithmic routing while deploying in-cabin edge computer vision to preemptively flag high-risk driver fatigue events.

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The Challenge

Last-mile delivery is the most expensive part of the supply chain. Delivery drivers face unpredictable traffic, parking issues, and tight windows. Inefficient routing wasted fuel, while driver fatigue led to accidents and high insurance premiums for the fleet operator.

The Intelligent Solution

We built a Dynamic Fleet Command Center.

Hyper-Routing

The AI calculates the optimal sequence for 100 stops, considering traffic, weather, package weight, and customer delivery windows. It re-routes in real-time if a jam occurs. "Turn left to avoid the accident ahead. You will still arrive by 2:15 PM."

Driver Safety Coach

In-cabin cameras (Dashcams) use AI to detect unsafe behavior: texting, drowsiness, harsh braking.

* *Real-Time*: "Distracted Driving Detected" alert wakes the driver up.

* *Post-Shift*: Drivers get a "Safety Score" and coaching tips. Gamification rewards the safest drivers with bonuses.

Operational Impact

Fuel costs reduced by 18% via route efficiency

Deliveries per driver/day increased by 25%

Accident rate reduced by 40%

Insurance premiums lowered significantly due to safety data

Customer on-time delivery rate hit 98%

Tech Stack

Route Optimization Algos

Computer Vision

Telematics

Geospatial Mapping

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