AI Automation Workflow for Manufacturing Operations
Industry: Manufacturing · Status: Deployed in production
Executive Overview
A large manufacturing operation relied heavily on manual coordination, spreadsheet-based reporting, and email-driven approvals across production, quality, and inventory teams. BrevaNext automated these workflows to improve execution speed, accuracy, and real-time visibility across the shop floor.
Background
The organization operated multiple production lines with strict quality and delivery requirements. Operational data was fragmented across Excel files, ERP exports, and manual logs maintained by different teams.
Business Challenge
Manual data entry, report consolidation, and approval routing consumed more than 100 hours per week. Operational bottlenecks were often identified only after they had already impacted output, quality, or delivery timelines.
Solution Approach
BrevaNext implemented intelligent automation workflows with AI validation, RPA-based execution, and real-time dashboards. Reports, approvals, alerts, and exception handling were automated using predefined business rules synchronized across systems.
Architecture & Components
- AI workflow orchestration engine
- RPA bots for reporting and data sync
- Python ETL pipelines
- Real-time operational dashboards
- ERP and Excel integrations
Business Impact
↓ 80%
Manual Work
10× Faster
Reporting Speed
Eliminated
Operational Errors
+65%
Productivity
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