Industrial company in Mexico case study cover image.

Digitizing Logistics Control: How an Industrial Company in Mexico Optimized Operations with Q-Flow®

January 28, 2026

A leading industrial company in Mexico, specializing in the storage and distribution of bulk products, primarily fuels, operated in a highly demanding environment with multiple opportunities for improvement.

From its main facility in the western region of the country, the company manages the daily receipt, storage, and loading of fuels transported by rail and tanker trucks, distributing them to retailers and service stations nationwide.

As operational volumes increased and the need for a consistent and secure flow became more critical, the organization identified the need for a digital system to automate vehicle entry control, registration, and dispatch. The objective was to improve traceability while reducing wait times at the plant.

The Challenge

Prior to implementing the solution, all logistics and service processes were fully manual, creating operational risk, inefficiency, and limited visibility across the plant. Key challenges included:

  • Driver and vehicle registration completed on paper, with no digital traceability or centralized control.
  • No assurance that first-in, first-out (FIFO) service ordering was consistently enforced.
  • Lack of measurable data related to wait times, loading duration, or vehicle departures.
  • Heavy reliance on manual supervision, leading to errors, delays, and recurring bottlenecks.
  • No reliable data to support logistics planning, productivity analysis, or operational forecasting.

The core challenge was to automate the service and loading process while ensuring fair service order, full control of truck flow, real-time operational visibility, and complete traceability from driver registration through plant exit.

Truck driver and manager using outdated paperwork registration process for drivers.

The solution

To address these challenges, the company partnered with ACF Technologies to implement Q-Flow®, a comprehensive queue, appointment, and service management system tailored to an industrial environment.

Key components of the solution included:

01 Self-service kiosk with biometric identification:

A digital registration point was deployed where drivers authenticate using fingerprint recognition, eliminating manual processes and ensuring the authenticity of every entry.

02 Centralized database integration:

An administrative environment within Q-Flow was configured to allow supervisors to register, search, and update information related to drivers, vehicles, carriers, and customers, including bulk data uploads via CSV files.

03 Automated turn and ticket control:

Upon registration, the system generates a printed ticket with a QR code and turn number. This QR code is used to control access to loading points and vehicle exit, ensuring precise tracking throughout the process.

04 Operational control dashboard:

Plant administrators have access to a real-time console displaying average wait and service times, the number of active cases in the yard and at the scale, and performance metrics for each loading point.

05 Custom reporting:

Tailored reports were developed to measure key performance indicators such as operational times, loading efficiency, and performance analysis by carrier, customer, and product type. Examples of reports include driver and active license information, processed turns and loads, and average time analysis in the yard and at the scale.

06 Intelligent service flow management:

The solution controls truck entry and exit, issues automated calls through voice systems and information screens, and allows service turns to be paused or reactivated based on product availability.

The Results

Following the implementation of Q-Flow®, the organization achieved significant improvements across its logistics operations.

Fuel tanker truck driver in vehicle cab representing improved logistics operations and driver experience.

  • Full automation of the service journey from driver registration through plant exit.
  • Reduced wait and loading times, minimizing congestion in the maneuvering yard.
  • Enforced FIFO service order, improving transparency and fairness.
  • Real-time visibility across all service stages, enabling better resource allocation.
  • Increased productivity through data-driven insights into peak days and operational patterns.
  • Enhanced security and traceability through biometric identification and detailed reporting.

Operational decision-making shifted from manual oversight to a data-driven model supported by real-time metrics generated by Q-Flow®. This enabled the organization to improve efficiency, strengthen internal controls, and sustain long-term operational performance.

Conclusion

This project marked a significant transformation in operational management within Mexico’s industrial sector. With ACF Technologies and Q-Flow®, the company replaced manual, error-prone processes with a fully digital and automated system.

Today, the organization operates with centralized control, optimized resource utilization, enhanced security, and a faster, more transparent service experience for its customers.