80–90% reduction in manual effort per drawing, processing capacity scaled to 200 drawings per day, consistent two-sheet Excel output for every extraction

Dimensions on each drawing had to be manually checked against an abbreviation table to identify which ones mattered, then filtered by hand — not scalable at a volume of 200 drawings per day without expanding the team.
An on-premise pipeline uses ADEOS to extract dimension data from engineering drawings, automatically filtering target parameters and structuring them into ERP-ready Excel outputs.
| Impact Metric | Before | After |
|---|---|---|
Manual Effort | 60 mins | ~5 mins |
Processing Capacity | 50/day | 200/day |
Quality Control Effort | 100% | 30% |
Engineers cannot check every drawing manually as production grows. ADEOS flagged key data points in drawings and brought them up for review. Reviewing only the flagged drawings keeps work moving without adding staff.
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Per-job turnaround targeted to drop from 3-4 days to under 3 hours, monthly capacity to scale from 12-20 to 75-80 panels, and duplicate item-master entries eliminated through automated de-duplication against Zoho ERP

One extraction workflow distributed to 3 departments, reducing per-drawing review from days to hours across a 50–100 drawing project cycle.

Verification turnaround time reduced from 3 hours to 15 minutes, missing dimension detection improved to 93%, and manual review reduced to flagged discrepancies for quality engineers