Predictive Safety recently completed an extensive case study with our client ConGlobal. Below is an executive summary and a link to download the entire case study.
Click Here to Download The Whole Case Study
ConGlobal, a leading provider of terminal and yard operations, employs 2,000 operators across 40+ locations. In these high-risk environments, fatigue and impairment- whether from long hours, rotating shifts, or personal stress- pose major safety challenges.
To support its Zero Harm initiative, ConGlobal adopted AlertMeter®, a daily 45-second cognitive assessment, and AlertMeter® FRMS, a predictive fatigue risk system using real-world data like work history and circadian rhythm alignment. Together, these tools identify potential risks in real time and enable managers to respond proactively.
After a successful pilot at six sites, ConGlobal scaled the program enterprise-wide. Early hurdles like worker buy-in and infrastructure gaps were addressed through strong safety leadership, frontline engagement, and sustainability plans built on clear KPIs, training, and accountability. The results speak volumes.
Across the six pilot locations, Total Recordable Incident Rate (TRIR) dropped 58%, from 5.98 to 2.5 between 2022 and 2024.
High/severe fatigue work hours were cut in half, decreasing from 7.2% to 3.6% in just one year—even as the number of workers at pilot sites increased from 317 to 449.
Pilot sites using AlertMeter® had a lower IFR (1.8) compared to 2.3 at other locations without the system.
Fatigue Risk Visibility Improved:
As AlertMeter® expanded to more sites, detected high-fatigue hours more than doubled- from 1.0% to 2.2%- highlighting unseen risks previously missed by scheduling data alone.
ConGlobal’s enterprise-wide TRIR fell from 3.44 in 2022 to 2.16 in 2023, then again to 1.98 in 2024. These consistent safety gains reflect the expanded use of AlertMeter® and its integration into daily safety culture.