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Manufacturing & Operations

Manufacturing Operations Platform

From Fragmented Processes to Unified Floor Visibility

5-7 days → 24 hrs
Approval Time
↓ 87%
Data Entry Errors
100%
Process Digitization
Outcome

Approval cycles dropped from 5–7 days to 24 hours. Data entry errors fell 87%. Floor visibility went from zero to real-time metrics.

The Challenge

A mid-sized manufacturer had zero unified visibility into factory floor performance. Production metrics were scattered across spreadsheets. Process approvals—purchase orders, maintenance sign-offs, shift reports—happened through email chains with Excel attachments bouncing between 8+ people. The ERP existed but functioned as a black box; only 2-3 people understood it, and changes took weeks to propagate across operations.

Our Approach

We built a custom web interface that surfaced real-time metrics from the ERP—production volume, quality metrics, resource utilization, worker performance. Then we digitized the approval workflows that were happening in email. Instead of Excel attachments and manager sign-offs scattered across inboxes, all requests now flow through the webapp. Approvals route automatically to the right stakeholders. Once approved, data flows directly into the ERP base layers—no manual re-entry, no data loss. A small configuration team manages the ERP rules; changes are instantly reflected system-wide.

"We went from being blind to our operations to having real-time visibility. The approval cycle used to kill our agility. Now we move fast."

Operations Director · Manufacturing Client
Results & Scope

The platform now serves the company's operations across multiple facilities. We've implemented this pattern for clients in defence manufacturing, pharmaceutical production, and textile mills—each with industry-specific customizations but the same core principle: unified visibility, digitized workflows, ERP integration.

End-to-end platform design, custom ERP integration, workflow automation, and staff training on the new system.

Technology Stack
ReactNode.jsPostgreSQLDocker
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