Safety analytics for near-miss reporting combines two streams: close calls that people report and close calls that sensors record automatically. Manual reports capture context and intent but miss many events, because people rarely report a near miss nobody else saw. Proximity tags, cameras and telematics log forklift-pedestrian and truck-to-truck interactions with time, place, speed and distance. Analytics then groups these events by zone, shift, truck and operator, ranks them by severity, and shows where the same pattern repeats. The output should be a short list of locations and behaviors to fix, not a larger pile of reports.
The full guide is Forklift near miss reporting, which covers running a blame-free program. When adding automated data, decide in advance who sees operator-level detail and how it is used; if detected events lead straight to discipline, voluntary reporting tends to stop.
Useful views are a heat map of interactions by zone, a trend per shift normalized to operating hours, and a list of repeat locations with the control applied to each. Treat automated counts as early-warning indicators and keep them separate from OSHA 300 log entries, which follow their own recording criteria under 29 CFR 1904. See Forklift safety dashboards for how sites present this data.