01
Monitor existing CCTV
ProvenienceX AI began monitoring the plant’s existing camera feeds, without requiring a new camera estate.
Anonymized customer case study · Bottling plant
Bottling plant forklift safety
Existing CCTV uncovered a critical SIFp exposure in shipping. One month after intervention, critical forklift–worker proximity alerts had fallen by 90%.
Environment
Bottling plant
Measured period
One month
Critical alerts
−90%
The risk uncovered
A blind spot in the shipping area
ProvenienceX AI detected a critical SIFp precursor: a worker moving into the line of fire of a moving forklift. The interaction occurred in a factory blind spot within shipping.
The finding gave the safety team a specific exposure pattern to address—not only a record of an event after it happened.
Priority exposure: worker–forklift proximity in an active shipping route.
From detection to intervention
The response connected technology and behaviour
02
Detect line-of-fire exposure
The system identified workers moving into the line of fire of a moving forklift in the shipping area.
03
Alert people on the floor
Audio alerts were delivered at the point of risk when an unsafe proximity event was detected.
04
Correct the underlying pattern
The factory blind spot was highlighted, corrective actions were suggested, and workers received targeted behaviour-based counselling.
Measured outcome
Critical proximity alerts reduced by 90%
Over one month, the bottling plant reduced the detected critical SIFp alerts associated with forklift and worker proximity by 90%.
Customer identity is withheld. The result reflects this specific deployment and is not a guarantee of outcomes at other sites.
One-month change
90%
reduction in critical forklift–worker proximity alerts
Existing CCTV · on-floor alerts · corrective action
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