AI and the Safety Journey at SiciX

At SiciX, AI is not a technology built entirely from scratch — it is a set of integrated, customized, and practically deployed applications embedded within SiciX’s software products for logistics operations and transport management.
In its digital transformation journey, SiciX has gone beyond process digitization by proactively embedding artificial intelligence (AI) into its operational products to enhance safety, reduce risks, and support more accurate decision-making.

Safety Begins with Awareness – AI for Fatigue and Distraction Monitoring

One of the most distinctive AI applications at SiciX is the Cabin Safety Monitoring feature.
By integrating computer vision technology into its vehicle management system, SiciX can detect early signs of driver fatigue or distraction.

When the system recognizes indicators such as eye closure, yawning, head nodding, or prolonged inattention, it immediately triggers an in-cabin alert — either by sound or voice — helping drivers react promptly and stay alert on the road.

All data is processed locally on the device, with no raw images stored, ensuring privacy and data security.

Thanks to this application, fleets using SiciX’s solutions have reported:

• A 27% reduction in near-miss incidents

• Over 40% fewer violations related to phone use while driving — tangible proof of AI’s real-world impact on operational safety.

Journey Risk Assessment – Giving Every Route Its Own “Safety Profile”

SiciX also applies AI to journey risk analysis (Risk Scoring). By analyzing traffic, terrain, weather, and operational behavior data, the system can identify high-risk zones and time periods. For example, steep slopes, sharp turns, areas with frequent heavy rain, or high truck density are assigned risk scores and displayed directly on the route map.

When risky conditions are detected, real-time alerts and recommended speed limits are sent to the driver. This not only helps drivers stay proactive but also enables the Integrated Operations Center (IOC) to adjust delivery plans promptly.

By harnessing AI for real-world data analysis, SiciX products can predict, alert, and coordinate trips more effectively, contributing significantly to accident risk reduction.

Driver Behavior Scoring – Fair, Transparent, and Oriented Toward Coaching

In the SiciX operations management ecosystem, Driver Behavior Scoring stands out as one of the most valuable features. AI analyzes GPS and sensor data from thousands of trips to assess behaviors such as harsh braking, rapid acceleration, sharp cornering, or speeding.

Importantly, the system evaluates behavior within its real context — ensuring fairness. For instance, braking sharply on a downhill slope or in rainy conditions is recognized as a reasonable safety response, not a violation.

Based on these insights, the system automatically generates periodic driver performance reports, supporting transparent evaluation, reward, and retraining programs.

This approach has led to a 35% reduction in speeding incidents in residential areas, while also improving driver satisfaction and engagement — a crucial factor in every logistics operation.

Compliance Automation – Turning Data into Transparency and Agility

Another practical AI integration within SiciX products is Compliance Automation.

Instead of manually compiling records, the system automatically collects driving time, stop duration, speeding events, and total operating hours to generate digitally signed periodic reports sent directly to management.

If a driver exceeds 4 consecutive driving hours or 10 total hours per day, the system instantly sends alerts via Zalo OA or internal email, ensuring compliance with operational regulations.

This automation not only saves administrative time but also enhances transparency and improves the speed and accuracy of operational decision-making.

AI – The Foundation of Safe and Sustainable Operations at SiciX

The guiding principle behind SiciX’s strategy is clear: AI is not for display — it’s for real, responsible application.

From fatigue alerts and journey risk prediction to compliance automation, every AI feature is purposefully designed to achieve three goals: greater safety, higher efficiency, and stronger transparency.

Rather than developing proprietary AI models, SiciX focuses on selecting, integrating, and optimizing suitable AI technologies, ensuring high compatibility, reliability, and real-world value for enterprise users.

This practical approach allows SiciX to bring AI to market faster, while maintaining security, trust, and performance excellence.

As part of its ongoing digital transformation, SiciX continues to uphold its philosophy: “AI for Safety, by Design” — applying technology responsibly, putting human safety first, and building an intelligent, humane, and sustainable operations ecosystem.

 

Contact SiciX experts to learn more about how AI can enhance your organization’s safety and operational excellence