Stop letting manual SPC calculations consume quality expertise. Contextual AI handles routine statistical monitoring whilst you focus on strategic quality improvements that deliver competitive advantage.
Statistical process control for comprehensive SPC implementation
Control charts get calculated manually whilst critical process variations slip through spreadsheet cracks. Quality teams spend hours plotting data points instead of analysing trends that reveal emerging problems.
Ideagen Quality Control transforms reactive calculations into predictive intelligence through contextual AI that automatically generates process control charts and identifies variation patterns before they impact product quality.
Overview
Intelligent statistical process control with built-in lean six sigma methodology
Ideagen's SPC solution combines contextual AI with embedded framework support, delivering 80% out-of-box functionality across 6,000+ organisations.
Our statistical quality control platform provides configurable process monitoring workflows with dedicated implementation support that adapts to actual manufacturing requirements. Quality professionals move from reactive defect detection to proactive process variation analysis through real-time monitoring and predictive insights.
Challenge & Solution
Manual data entry and calculation creating quality bottlenecks and human error risk
Quality professionals manually calculate control limits, plot process control charts and update statistical analyses across spreadsheets—consuming valuable time and introducing calculation errors.
Ideagen Quality Management's SPC solution automates these calculations through contextual AI with real-time data collection that instantly generates accurate control charts. The embedded intelligence learns from historical patterns and continuously refines statistical parameters—ensuring teams focus on analysis rather than manual calculations.
Challenge & Solution
Limited real-time monitoring capabilities preventing proactive quality management
Traditional SPC approaches rely on periodic data collection where process variations go undetected until defects have occurred.
Ideagen Quality Management delivers continuous real-time monitoring through pervasive AI with automated alerts that notify professionals the moment variations exceed control limits. Embedded algorithms predict potential quality issues based on historical patterns and current process behaviour—enabling proactive intervention that prevents quality failures rather than discovering them during customer complaints.
Challenge & Solution
Difficulty identifying patterns across multiple processes limiting cross-functional quality insights
Correlating process variations across production lines or supplier networks creates information silos preventing comprehensive process variation analysis.
Ideagen Quality Management's statistical process control platform provides unified dashboards through contextual intelligence that consolidates process data across entire operations. The system's analytics engine highlights cross-process relationships, supplier performance impacts and seasonal trends—enabling holistic improvement strategies through embedded AI that addresses root causes rather than isolated symptoms.
Trusted by manufacturing teams where process control prevents problems
Quality professionals rate Ideagen Quality Management as essential for transforming reactive operations into proactive, data-driven excellence programmes. Used by teams where process variations create quality failures and SPC delays shut down production lines.
