Manufacturers today operate in a challenging environment with multi-faceted pressures to change:

Consumers demand affordable, mass-produced yet eco-friendly products-sustainable products are growing 5x faster than their conventional counterparts.

Governments are setting aggressive targets for carbon emissions reduction.

And with the rise of ESG investing, large funds are divesting from what they see as contributors to global warming.

Today’s leading companies realise that sustainability accompanies rather than impedes growth; but with a track record of significant carbon emissions, high material waste, and often inefficiently operated assets, manufacturers struggle to balance these seemingly conflicting objectives.

Identify the ‘golden operating regimes’ that optimise energy efficiency and reduce carbon.

Implement control settings that maximise production and minimise cost and emissions.

Identify and implement optimal control settings that optimise energy efficiency and reduce carbon, saving up to 15% on energy costs.


Foresight Sustainability Suite provides a suite of ready-to-deploy features with integrated algorithms that work hand-in-glove with manufacturing execution systems (MES) and control systems(SCADA) to recommend and implement optimal control settings on industrial machinery, helping manufacturers reduce waste, minimise carbon and maximise throughput and quality.

Energy Efficiency Index (EEI)

See opportunities to reduce energy consumption and costs in real-time – no need to spend hours analysing time-series data. View specific plant operations with recommended control settings that result in quantified energy and cost savings.

Scenario Planner

Identify your optimal control settings to achieve the best possible energy performance.  

 Input multiple production objectives and add thousands of constraints – the multi-variate optimisation will find your best possible solution, then plan and implement the recommended control settings in an open-or closed-loop manner.

Digital Health Record

Continuously monitor and benchmark asset performance, detect anomalies and set configurable alerts to be notified about potential risks.

Case Study

ARC, the world’s largest glass tableware manufacturer, uses Foresight Sustainability to achieve optimal line utilisation, meet customer demand, and optimise energy consumption.

Using the Energy Efficiency Index to accurately profile different operating regimes that result in varying fuel efficiency and unit cost savings, then planning ahead with Scenario Planner to identify and recommend optimal control setpoints per product and per line, the implementation saw improved line production throughput and an energy reduction up to 8% per plant, per year.