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Smart Factory Implementation

Industrial AI and IoT for predictive maintenance

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Company Profile

A leading international automotive parts manufacturer with 20+ plants.

Industry

Manufacturing

Region

Europe & Asia

About the Client

The client is a Tier-1 automotive supplier specializing in precision engine components. operating in a high-pressure environment where even an hour of unplanned downtime can cost hundreds of thousands of dollars in lost production and contractual penalties.
0%

Machine Runtime Increase

0%

Maintenance Cost Reduction

0mo

Full Scale Deployment

Challenge

The primary challenge was the 'black box' nature of their older production lines. Maintenance teams relied on schedule-based or reactive repairs, meaning parts were often replaced too early or, worse, after they had already failed. There was no real-time visibility into the health of critical CNC machines and robotic arms.

Furthermore, the environmental data from the factory floor—temperature, vibration, and humidity—was not being correlated with machine performance, leading to 'invisible' causes of degradation that manual inspections could not detect.

  • Unpredictable equipment downtime causing production delays.
  • Inability to monitor machine health in real-time across global sites.
  • High cost of emergency repairs and rush-shipped spare parts.
  • Lack of integration between OT (Operational Tech) and IT (Information Tech).

The Solution

Predictive Maintenance Engine

WebbyButter deployed a specialized edge-computing architecture that ingests high-frequency sensor data directly from the factory floor. We built custom anomaly detection models that identify the subtle 'fingerprints' of mechanical wear weeks before a failure occurs. The system automatically triggers maintenance alerts and even suggests the specific tools and parts required for the repair.
Process Architecture Diagram

The Outcome

Industrial ROI at Scale

The impact was immediate. Within the first year, unplanned downtime dropped by 60%, resulting in a massive increase in overall equipment effectiveness (OEE). The client significantly reduced their spare parts inventory, as they could now order components based on actual need rather than estimates. The success of the pilot plant led to a rapid global rollout across 15 additional sites.
0%

Reduction in Downtime

0%

OPEX Savings

0%

IoT Connectivity

Case Study
"WebbyButter didn't just give us data; they gave us foresight. We've moved from putting out fires to preventing them entirely."
Head of Global Manufacturing

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