AI in Logistics: From Route Optimization to Predictive Safety
Logistics is chaos management. A delayed truck, a closed road, a sudden storm. Traditionally, handling this required armies of dispatchers on phones.
Today, Logistics is a data problem. And AI is the only tool fast enough to solve it.
At Glarium, we are seeing a massive shift. Companies are moving from “Tracking” (Where is my truck?) to “Prediction” (When will it arrive and what risks will it face?).
Beyond Google Maps: Dynamic Routing
Most people think AI in logistics is just finding the shortest route. That’s easy. The real challenge is Multi-Variable Optimization.
Real AI algorithms consider factors that Google Maps ignores:
- Fuel Consumption: Is a longer flat route cheaper than a short hilly one?
- Cargo Type: Can this hazardous load go through this tunnel?
- Driver Fatigue: Is the driver reaching their legal hour limit?
We implement algorithms that solve the “Traveling Salesman Problem” in milliseconds, reducing fleet fuel costs by up to 30%.
Safety: The HazmaTrack Approach
Transporting dangerous goods (Hazmat) is high stakes. A mistake here isn’t just a delay; it’s a headline news disaster.
With our product HazmaTrack, we use AI not just to watch, but to guard.
- Computer Vision: Cameras inside the cabin detect if a driver is distracted or falling asleep before the truck drifts.
- Predictive Maintenance: Analyzing engine vibrations to predict a breakdown before the truck leaves the warehouse.
The End of “Where is my package?”
The most expensive cost in customer service is answering “Where is my order?”. AI Chatbots connected to your TMS (Transport Management System) can handle 90% of these queries instantly, proactively alerting customers about delays before they even ask.
FAQ: AI in Supply Chain
Q: Will AI replace dispatchers? A: No. It shifts them from “firefighting” (solving immediate problems) to “strategy” (optimizing the fleet). AI handles the routine; humans handle the exceptions.
Q: Is this only for huge fleets? A: No. Actually, smaller fleets see faster ROI (Return on Investment) because efficiency gains impact their bottom line immediately.
Conclusion
The supply chain of the future isn’t run by Excel sheets. It runs on predictive models. If your logistics software isn’t thinking ahead, it’s already behind.
