Conclusion
Following the implementation of Q-Flow®, the organization achieved significant operational and performance improvements across the entire logistics flow.
Key outcomes included:
Full automation of the service journey from driver registration through plant exit
Significant reductions in wait and loading times, eliminating congestion in the maneuvering yard
Strict enforcement of FIFO service order, improving transparency and fairness across operations
Real time visibility into every stage of service, enabling better resource and turn allocation
Increased productivity through data driven identification of patterns, peak days, and peak hours
Stronger security and traceability through biometric identification and detailed operational reporting
Operational decision making shifted from manual oversight to a data driven model supported by reliable, real-time metrics generated by Q-Flow®. This enabled the organization to improve efficiency, strengthen internal controls, and sustain long term operational optimization.
This project represents a turning point in operational management within Mexico’s industrial sector. With the support of ACF Technologies and the implementation of Q-Flow®, the company transformed a manual, error-prone process into a fully digital, automated, and efficient operational model.
Today, the organization operates with a robust system that enables centralized control, optimized resource utilization, enhanced security, and faster, more reliable, and more transparent service for its customers.