A large, multi‑national consumer goods manufacturer, needed to implement a robust data‑driven solution to ensure sustainability, optimise energy consumption, and reduce overall costs across their global footprint.

Collected and processed over 150k data instances from ~1,200 sensors

Mapped and identified relationships of key variable inputs to energy consumption drivers

Developed non‑linear predictive models to optimise energy consumption and understand key drivers

Deployed real‑time KPI dashboard with interactive ‘what‑if’ scenario tools to drive further data insights in real‑time

Developed strategy to optimise energy consumption