challenge
Our client, a US-based freight transportation and logistics provider, ensures timely deliveries for global shippers.
However, managing diverse carriers, routes, warehouses, and distribution centers often leads to operational inefficiencies and higher costs due to unforeseen risks.
- High-traffic areas and accident-prone routes cause missed delivery windows, delays, and additional liabilities.
- Increased idle time and delays in unloading result in extra charges such as fuel consumption and demurrage fees.
- Changing road conditions and carrier reliability require for 24/7 monitoring and real-time adjustments.
- Appointment rescheduling poses risks of missed commitments, potential reputation damage, and financial implications.
solution
Trinetix developed an AI-empowered risk assessment system impacting every aspect of the freight transportation process.
01. ML-based carrier selection
A dedicated ML model evaluates past shipment data to score carriers, ensuring timely delivery of specific goods with a ranked list of optimal options.
02. Dynamic route planning and optimization
Using historical lane data, the system identifies low-risk routes, minimizing toll charges and traffic delays. Real-time processing enables swift route adjustments.
03. Advanced facility coordination
Optimization algorithms analyze facility schedules, carrier availability, and shipment priorities, ensuring on-time handling and reducing additional charges.
impact
A reliable data foundation paired with a dedicated AI enablement strategy developed by Trinetix enabled continuous detection of hidden dependencies impacting transportation schedules and efficiency.
This approach helped identify the root causes of issues, leading to:
- 15% improvement in on-time delivery performance
- 10% increase in fuel efficiency
- Annual savings of $150,000 on toll charges and unforeseen fees