Production analytics without
the analyst bottleneck
Plant performance, downtime tracking, quality metrics, production vs target — your operations team gets answers directly.
The manufacturing data gap
Yesterday’s data
Plant managers make shift decisions on yesterday’s data because real-time queries require SQL expertise.
Invisible patterns
Downtime patterns are invisible until someone manually pulls logs and builds a pivot table.
Weekly reports
Production vs target reports arrive weekly – too late to course-correct.
See Echo answer operations questions
Plant-wise production output vs target for the current month
| PLANT | TARGET (UNITS) | ACTUAL | ACHIEVEMENT |
|---|---|---|---|
| Pune Plant 1 | 12,000 | 11,640 | 97.0% |
| Chennai Plant 3 | 8,500 | 8,840 | 104.0% |
| Hyderabad Plant 2 | 10,000 | 9,120 | 91.2% |
Downtime hours by production line, last 90 days, with top causes
| LINE | TOTAL DOWNTIME (HRS) | TOP CAUSE | % OF DOWNTIME |
|---|---|---|---|
| Line A1 | 142 | Equipment failure | 38% |
| Line B1 | 98 | Material shortage | 45% |
| Line C1 | 67 | Changeover | 52% |
Quality rejection rate by product category this quarter vs last quarter
| CATEGORY | THIS Q (%) | LAST Q (%) | TREND |
|---|---|---|---|
| Casting | 2.8% | 3.4% | ↓ Improving |
| Assemblies | 1.2% | 1.1% | ↑ Slight increase |
| Finished Goods | 0.4% | 0.5% | ↓ Improving |
Built for manufacturing and operations teams
Plant Managers
Real-time production and downtime data without waiting for reports
Operations Analysts
Self-serve access to OEE, yield, and efficiency metrics
Quality Engineers
Rejection rates, defect trends, and root cause data on demand
Production Planners
Target vs actual, capacity utilization, and schedule adherence