Enhancing Safety and Visibility in Logistics

Operating across multiple high-volume distribution centers, the company faced numerous safety challenges due to the complexity of its operations. With hundreds of trucks, forklifts, conveyor belts, and employees moving in tight spaces, ensuring real-time risk monitoring was a significant hurdle.

The primary challenges included:

Lack of Real-Time Visibility into Near Misses

Near misses—precursors to serious incidents—were difficult to track using traditional safety protocols. Manual reporting meant that only a fraction of potential risks were identified, limiting the ability to proactively mitigate hazards.

High Rate of Workplace Safety Incidents

Collisions between forklifts and pedestrians, unauthorized access to restricted zones, and improper use of personal protective equipment (PPE) were recurring safety risks. The fast-paced nature of logistics operations made enforcing safety protocols challenging.

Inefficient Compliance Monitoring and Response Times

Existing safety management processes were reactive rather than proactive. Compliance with internal and regulatory safety standards depended on post-incident reporting, which often led to delays in corrective actions.

To address these issues, the company needed a scalable, AI-driven system that could provide real-time safety insights, automate risk detection, and enable swift intervention.

The company partnered with Surveily to implement a comprehensive AI-powered surveillance and analytics system across its distribution centers. The solution was designed to provide end-to-end safety monitoring, leveraging computer vision, machine learning, and centralized data analytics.

AI-Powered Risk Detection for Workplace Safety

Surveily’s intelligent video analytics continuously monitored safety-critical areas, automatically identifying potential hazards such as worker proximity to forklifts, improper PPE usage, and unauthorized access to restricted zones. The system provided instant alerts to safety teams, enabling immediate intervention and reducing the risk of accidents.

Scalable Deployment with Extensive Camera Coverage

The rollout followed a structured, multi-phase approach:

• 2024: Initial deployment across 4 sites with 100 cameras, focusing on high-risk zones such as loading docks and forklift pathways.
• 2025: Expansion to 14 sites, with a total of more than 500 cameras deployed.
• 2026: Full-scale deployment to 40 sites, ensuring comprehensive coverage across all major distribution centers.

This strategic expansion ensured that AI-driven monitoring covered all critical operational areas, from employee workstations to vehicle loading zones, significantly improving situational awareness.

Hybrid Architecture for Centralized Safety Management

The implementation featured a hybrid architecture, combining on-premises servers with cloud-based analytics.

This approach enabled:

• Seamless data integration across all distribution centers.
• Centralized safety monitoring with site-specific and organization-wide insights.
• Faster decision-making by leveraging AI-driven reports and predictive analytics.

By automating compliance tracking, the organization eliminated manual safety checks, allowing safety managers to focus on strategic improvements rather than reactive interventions.

The deployment of Surveily’s technology led to transformational improvements in workplace safety and risk management, delivering measurable and lasting results.

62% Reduction in Safety Incidents

AI-driven risk detection and real-time intervention capabilities significantly lowered the frequency of workplace accidents, particularly in high-traffic areas where vehicle-pedestrian interactions posed the greatest risk.

1,498% Increase in Near-Miss Visibility

By automating safety monitoring, the company gained unprecedented insights into near-miss events. This enabled proactive interventions, preventing minor incidents from escalating into serious injuries.

85% Reduction in Area Control Risks

Unauthorized access to restricted areas was a persistent challenge. Surveily’s access monitoring capabilities ensured that only authorized personnel entered sensitive zones, minimizing security and safety risks.

Additionally, the 8-week average deployment and onboarding time enabled the company to rapidly scale the solution without operational disruptions.

Conclusion: A New Era of Safety in Logistics Operations

By integrating Surveily’s AI-powered safety platform, this logistics provider set a new benchmark for workplace safety, compliance, and risk management. The scalable and data-driven solution not only reduced incidents but also enhanced transparency, accountability, and operational efficiency across its distribution network.

With real-time insights, predictive analytics, and automated risk detection, the company continues to strengthen its commitment to workplace safety—ensuring that employees, assets, and operations remain protected in an industry where every second and every decision counts.

Looking ahead, the organization plans to further leverage Surveily’s technology for advanced predictive analytics, expanded automation, and deeper integration with its enterprise safety management systems—driving continuous improvements in safety and efficiency.