How we implemented AI-powered tracking for loading and unloading of vehicles at DreamHack events.
DreamHack was manually handling 400+ trucks during any given event. This required 15 full-time laborers working around the clock, costing $200K annually while still not being able to handle the volume of trucks.
We implemented a custom AI pipeline, integrated with their existing truck management system. The solution included real-time truck analysis, automated escalation workflows, and continuous learning from attendant feedback.
Truck audit, workflow analysis, and requirement gathering
Custom model training on truck loading/unloading datasets
API integration and comprehensive testing
Production deployment with monitoring setup
We were able to reduce the time it took to load and unload a truck from 1 hour to 10 minutes. This resulted in a 90% reduction in labor costs, and a 98.5% accuracy rate in truck loading/unloading.
"Jax Labs transformed our truck loading/unloading from a cost center into a competitive advantage. The AI system they built doesn't just save us money—it's actually better at organizing than our human laborers were."
Steve Sampson
VP of Operations, EVLC Logistics
See how AI can eliminate manual labor work and save your company millions annually.