Connect historians, PLCs and edge telemetry to a governed lakehouse for time-series analytics, SPC, and a single source of operational truth.

Deploy line- and cell-level digital twins for what-if planning, capacity simulation and energy optimisation that improve throughput and reduce waste.

Implement AI/ML models on time-series and sensor data to predict failures, schedule condition-based maintenance and maximise OEE.

API-first, event-driven integration patterns that synchronise MES, ERP and PLM systems using canonical models (ISA-95 aligned) for accurate master data and process continuity.

Modernise MES access with mobile operator UIs, paperless workflows and real-time work-order orchestration to improve traceability and reduce human error.

Integrated QMS platforms with batch genealogy, SPC, and automated audit trails to prevent quality escapes and simplify compliance.

Architect low-latency edge capture and secure cloud pipelines for large historian ingestion, model training and scalable analytics.

Real-time inventory and supplier telemetry, demand sensing and scenario planning to reduce stockouts and improve fulfilment agility.

Automate energy capture, emissions calculations and reporting to meet regulatory requirements and optimise carbon intensity at plant and line level.