By: Oliver Hawthorne
Safety teams in modern warehousing are fundamentally blind to operational reality until something breaks. Thousands of daily near-misses and risky forklift interactions occur completely unnoticed, leaving organizations to investigate root causes only after an injury or structural collision has already happened. Traditional safety protocols wait for a lagging indicator to spark action, ignoring the thousands of warning signs that accumulate on the floor every single shift. Litum is attempting to alter this reactive posture by expanding its PathAware system to pull these invisible risks out of the dark.
The technical mechanics rely on a retrofit approach designed for mixed vehicle fleets without demanding complex facility-wide real-time location systems on day one. PathAware IQ translates collision risks into fleet dashboards and actionable data, while IQ+ introduces digital pre-operation inspections and granular utilization metrics. The hardware stack combines AI-enhanced detection and ultra-wideband sensing directly on the forklift, identifying pedestrians, vehicles, and obstacles without requiring cameras or mandatory pedestrian wearables. Access control and driver authentication run through the cab’s Onboard Hub using NFC cards or Litum tags, blocking unauthorized operators before the ignition engages.
Closing the loop between hazard detection and operational oversight changes how fleets manage daily risk profiles. Supervisors review visual dashboards to pinpoint recurring issues by operator, shift, or specific warehouse zone, turning raw sensor triggers into targeted training parameters. Utilization metrics capture active time, idle periods, load ratios, and engine activity, giving operations managers concrete utilization patterns to inform lease and purchase cycles. Optional modules like SlowDown and ZoneLite provide automated speed reduction and geofencing around dangerous intersections without altering the vehicle’s core operating system.
Organizations that continue relying solely on post-accident reporting will keep missing the structural signals that precede every major incident. The path forward requires deploying modular hardware onto the highest-risk trucks, tracking the resulting safety dashboards, and measuring variance after the initial operator training cycle.
Author bio: Oliver Hawthorne, a principal correspondent permanently stationed at an international technology review, covering industrial automation, logistics infrastructure, and workplace safety systems.