Data-Driven Factory Intelligence
Connect shop-floor sensors, ERP, and supply chain data to improve OEE, reduce waste, and predict equipment failures before they happen.
The Factory Data Gap
Manufacturers generate terabytes of sensor and operational data, but disconnected systems prevent them from using it to optimize production.
Unplanned Downtime
Equipment failures disrupt production lines and create costly cascading delays across schedules.
Quality Escapes
Defects caught late in the process or by customers erode margins and damage brand reputation.
OEE Plateau
Without granular data on availability, performance, and quality losses, OEE improvements stall.
Supply Chain Fragility
Limited visibility into supplier lead times and inventory levels creates stockout and overstock risk.
Manufacturing Data Solutions
Capabilities that connect production, quality, and supply chain data for smarter factory operations.
Shop-Floor Data Integration
Connect SCADA, PLC, sensor, and ERP data into a unified production analytics platform.
Predictive Maintenance Models
Forecast equipment failure 2–4 weeks ahead using vibration, temperature, and usage patterns.
OEE & Production Dashboards
Monitor availability, performance, and quality KPIs across lines and shifts in real-time.
Operational Excellence Strategy
Align data initiatives with lean manufacturing goals and continuous improvement programs.
Programs That Improve Factory Performance
Manufacturers capture more value when production, quality, and supply data converge on one analytics layer.
Predictive Maintenance
Reduce unplanned downtime by 30–50% with early-warning models trained on sensor and usage data.
Root Cause Analysis
Identify defect drivers using process parameter correlation to catch quality escapes at the source.
Bottleneck Detection
Analyze cycle time variance across stations to pinpoint and resolve production bottlenecks.
Supplier Lead Time Analytics
Track supplier reliability and optimize safety stock levels to reduce both stockouts and carrying costs.
Automotive Parts Maker Boosts OEE by 16%
A tier-1 automotive supplier was losing production hours to unplanned equipment failures and inconsistent quality across its three plants.
- Solution: We integrated sensor data with ERP and built predictive maintenance models plus real-time quality dashboards.
- Outcome: 16% OEE improvement and 35% reduction in unplanned downtime.
- Bonus: Scrap rate dropped 22% through early defect detection.
Manufacturing Analytics FAQs
Yes. We build pipelines that connect SCADA, PLC, and sensor data with ERP systems like SAP and Oracle to create a unified production analytics layer.
We use vibration, temperature, and usage data to train ML models that predict equipment failure 2–4 weeks in advance, enabling planned maintenance.
Clients typically see 10–20% OEE improvement by identifying and addressing availability losses, performance slowdowns, and quality defects.
Yes. We integrate with major MES platforms to enrich execution data with analytics without replacing core production systems.
Typical pilots run 8–12 weeks, starting with one line or process area before expanding plant-wide.
Yes. We combine sensor, vision, and process-parameter data to flag anomaly patterns early and reduce scrap, rework, and warranty risk.
Yes. We integrate meter, machine, and production data to track energy intensity per unit and identify savings opportunities across shifts and lines.
Optimize Factory Performance with Data
Connect shop-floor, ERP, and supply chain data for smarter manufacturing.
Schedule a Manufacturing Data Assessment