GWC Data.Ai
Background
GWC Data.AI

Real-Time Production Monitoring with IoT

How a leading automotive Manufacturer achieved 10-15% productivity boost and 90% reduction in manual effort through connected factory automation

Client Overview

A leading automotive die-casting manufacturer producing high- precision aluminium components at scale. With multiple machines running continuous operations, the leadership team required live production insights to reduce downtime, increase throughput, and meet customer delivery timelines consistently.

Industry
Industry:Manufacturing - Aluminium Die Casting
Focus
Focus:Automotive Components
Scale
Scale:Multi-machine continuous operations

Key Challenges

Traditional manufacturing processes created significant operational blind spots that prevented optimal production efficiency and timely decision-making.

Manual Data Capture

Manual Data Capture

Error-prone and delayed reporting process

Inconsistent Target Tracking

Inconsistent Target Tracking

Deviations spotted only during review meetings

No Live Dashboards

No Live Dashboards

Production monitored post-shift, issues found too late

No Breakdown Warnings

No Breakdown Warnings

Machines failed before detection, causing unexpected downtime

Operator Accountability Gaps

Operator Accountability Gaps

No real-time performance checks or monitoring

GWC's IoT-Driven Solution

We deployed a Connected Factory Framework enabling automated live insights across the entire production floor.

IoT + Cloud Integration

IoT + Cloud Integration

  • IoT Core to ingest telemetry from machine counters
  • Low-latency device communication for continuous streaming
Real-Time Data Platform

Real-Time Data Platform

  • GCP Cloud hosting pipelines and messaging services
  • Streaming into Real-time DB for dashboard updates within seconds
Full-Stack Production Monitoring App

Full-Stack Production Monitoring App

  • React + Node.js application for supervisors
  • Live display of machine status (running, idle, breakdown)
  • Color-coded alerting for deviations
Target vs Actual Shift Insights

Target vs Actual Shift Insights

  • Automatic tracking of hourly & shift KPIs
  • Visual alerts for low-performing machines
Production Analytics Layer

Production Analytics Layer

  • Python + SQL data processing jobs
  • Operator productivity and part-rejection visibility
100% Automated Workflow

100% Automated Workflow

  • Zero manual effort required
  • Instant data capture and processing

Real Business Impact

Quantifiable improvements across key operational metrics, delivering measurable value to production efficiency and bottom-line results.

Reporting Latency

Reporting Latency

Shift-end → Real-time

From delayed post-shift reports to instant live visibility

Downtime Transparency

Downtime Transparency

Instant Logging

Logged instantly with cause tagging and tracking

Productivity

Productivity

10-15% ↑

Via faster intervention and proactive management

Manual Effort

Manual Effort

90% Reduction

Automated data capture eliminates manual logging

On-Time Delivery

On-Time Delivery

Improved

Enhanced through live tracking and predictive insights

Response Time

Response Time

Minutes

Supervisors now react within minutes, not next day

Supervisors now react within minutes, not next day

Technology Stack

A robust, scalable architecture built on industry-leading technologies and best practices for mission-critical manufacturing operations.

IoT Device Integration
IoT Core
IoT Device Integration
Cloud Infrastructure
Google Cloud Platform (GCP)
Cloud Infrastructure
Processing
Python, SQL
Processing
Application Layer
React, Node.js (Full Stack)
Application Layer
Streaming Storage
Real-time DB
Streaming Storage
Visualization
Integrated UI Panels & Dashboards
Visualization

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