How did a Nutraceutical Manufacturer Improve Batch Quality with LTS Data Point Digital KPI Tracking
With the LTS Data Point performance management system, the organisation unified batch-level KPI tracking, quality monitoring, and production visibility across operations. The digital platform enabled real-time insights, faster deviation control, and consistent batch quality improvement.
Customer overview
- Industry: Nutraceutical Manufacturing
- Location: Global Operations
- Specialisation: Production of dietary supplements with a focus on batch quality, compliance, and process consistency
A globally operating nutraceutical manufacturer with multiple production sites specialises in large-scale production of tablets, capsules, and powders. Known for strong batch quality control, GMP compliance, and consistent production standards, the organisation focuses on improving batch consistency, traceability, and continuous improvement across operations.
Executive Summary
A nutraceutical manufacturing organisation moved from spreadsheets, manual logs, and disconnected systems to a unified digital KPI tracking platform to manage batch quality and production performance. This was made possible by the industry as they adopted SQDCPE (Safety, Quality, Delivery, Cost, People, Environment) custom dashboard with LTS Data Point.
This shift eliminated delays in identifying quality deviations, improved coordination between production and quality teams, and enabled real-time visibility into batch operations.
As a result, the organisation achieved faster decision-making, improved batch consistency, and more proactive control over quality and overall production performance.
Challenges Before Digitalisation
- SQDCPE KPI misalignment
While SQDCPE metrics were defined, batch quality KPIs in nutraceutical manufacturing – such as yield variance, deviation rates, and assay consistency – were not consistently tracked across production, limiting control over batch outcomes and impacting overall batch quality improvement in the nutraceutical industry.
- Manual & time-consuming batch tracking
Batch records, in-process quality checks, and production data were maintained across spreadsheets and manual logs, making it difficult to track batch quality in nutraceutical production. This led to duplication, errors, and version control challenges.
- Disconnected production and quality data
Production data and quality test results existed in silos, preventing real-time batch quality monitoring and requiring manual consolidation to assess batch performance and identify deviations.
- Delayed shopfloor feedback
Operators recorded batch data on paper, resulting in delayed reporting and limiting real-time production visibility in manufacturing, which caused late detection of quality issues during production.
- Fragmented action tracking
Corrective and preventive actions (CAPA) related to batch deviations were managed across emails and documents, reducing visibility and slowing resolution of issues linked to batch deviation tracking systems.
- Limited root cause insights
Identifying the root cause of batch variability required manual investigation across multiple data sources, making root cause analysis for batch failures time-consuming and inconsistent.
- Tiered visibility gaps across SQDCPE metrics
Operators and supervisors had access to limited batch-level data, while management viewed aggregated SQDCPE KPIs – without a connected system enabling production performance tracking in the nutraceutical industry or linking shopfloor activities to batch quality outcomes.
The Digital Transformation
The organisation implemented the LTS Data Point performance management system, a digital balanced scorecard and operational management platform, to improve batch quality in nutraceutical manufacturing and transform operations across all tiers.
This included the structured implementation of the digital SQDCPE framework — aligning Safety, Quality, Delivery, Cost, People, and Environment KPIs — with a strong focus on batch quality under the Quality pillar, enabling standardised measurement, real-time tracking, and proactive control of batch performance.
Integrated Digital Batch Planning
- Replaces spreadsheet-based batch planning with a live, centralised system accessible to production and quality teams
- Enabled dynamic scheduling based on batch priorities, demand inputs, and process constraints
- Integrated production and quality data streams to eliminate manual consolidation and improve production performance tracking in the nutraceutical industry
Real-Time Batch Quality Monitoring
- Digitalised shopfloor tracking to capture batch data and in-process quality parameters in real time
- Enabled automatic variance tracking for yield, deviations, and cycle time with linked issue logging
- Provided real-time batch quality monitoring, allowing faster identification and control of process variations
Unified KPI Monitoring across SQDCPE
- Centralised dashboards for monitoring Safety, Quality, Delivery, Cost, People, Environment metrics
- Enabled drill-down analysis for batch deviation tracking and failure trends
- Tier-based access to ensure relevant visibility:
- Tier 0-1: Batch-level KPIs linked to processes and production lines
- Tier 2-3: Aggregated SQDCPE metrics with cross-functional insights
Structured Action and CAPA Management
- Implemented structured action tracking aligned to corrective and preventive actions (CAPA)
- Centralised visibility of all actions with ownership, timelines, and escalation tracking
- Linked actions directly to KPI deviations and root cause analysis for batch failures
- Enabled faster resolution of issues impacting batch quality and consistency
Advanced Batch Performance Insights
- Batch deviation analysis: Tracks deviation trends, identifies recurring issues, and supports continuous improvement
- Yield and variance monitoring: Analyses yield fluctuations across batches to improve consistency
- Production loss insights: Highlights lost production time due to quality or process issues
- Reports are configurable for daily, weekly, and monthly analysis, supporting continuous improvement in nutraceutical production
Enhanced Operational Control
- Digital management of batch workflows, operator allocation, and process tracking
- Configurable KPI structures aligned to batch quality and production goals
- Standardised data capture to ensure accuracy, traceability, and audit-ready batch documentation
Results Achieved
The leadership team adopted the LTS Data Point performance management system to improve batch quality in nutraceutical manufacturing and strengthen operational control. Key outcomes included:
- Reduction in batch variability through consistent tracking of batch quality KPIs in nutraceutical manufacturing, including yield variance and deviation rates
- Real-time batch quality monitoring enabled faster detection of deviations and immediate corrective action on the shopfloor
- Improved batch consistency across production cycles by standardising KPI tracking and reducing process variations
- Enhanced accountability through structured CAPA management, with clear ownership, escalation tracking, and closure visibility
- Data-driven decision-making supported by centralised dashboards, enabling production performance tracking in the nutraceutical industry
- Faster root cause analysis with integrated tracking of deviations and linked root cause analysis for batch failures
- Stronger continuous improvement culture by embedding KPI reviews, CAPA, and deviation tracking into daily operations
- Cross-tier visibility and alignment with a unified view of SQDCPE metrics, connecting shopfloor activities to batch quality outcomes
Conclusion
By replacing fragmented spreadsheets, manual tracking, and disconnected systems with a unified digital performance management platform, the company transformed how it manages batch quality improvement in the nutraceutical industry.
The shift from delayed reporting to real-time batch quality monitoring enabled proactive control over production processes, reduced variability, and improved overall consistency.
From operators on the shopfloor to plant-level leadership, every stakeholder now operates with a shared, data-driven view of performance – enabling faster decisions, stronger accountability, and sustained improvement in batch quality and operational efficiency.
Hear it from our customers
MARC ROBINSON
Director, Global Operational Excellence
“By providing a central location to input, analyse and share our KPIs, 'Data Point' enables site management to more easily focus on the entire business as a team. Its ability to allow automated data entry and trend analysis gives us more time for improvement rather than just reporting numbers. Combined with a disciplined approach within our SQDC meeting process, I believe 'Data Point' will help us continually focus on key issues and drive business excellence in all areas.”