The before
Marcus received scanned maintenance logs from several lines. The information mattered, but handwriting and inconsistent formats made trend analysis slow.
The turning point
MultipleChat uses OCR to extract the logs, then another model groups issues by equipment, line, date, and symptom. Marcus compares summaries before sending anything to operations leaders.
"OCR gave us the data. Comparing summaries helped us trust what we were seeing."
The after
Recurring issues are easier to spot, and the team spends less time retyping logs. Human review remains important, especially when handwriting is unclear.
What they used
OCR workflow
Extract text from scanned and handwritten logs.
Issue grouping
Group recurring issues by line and equipment.
Compare mode
Review multiple summaries before reporting trends.