Climate change is not just a potential future threat, but a real near-present reality that we must all strive to contain. Reducing carbon footprint on an individual and corporate level on a mass scale can create a real difference as countries around the world pledge to achieve Net Zero emissions. 

While making a drastic change around operational processes can be risky and confusing for most firms, technologies like AI and Machine Learning can help predict and manage such transformations. 

Connected Enviro Net utilises these powerful tools to compile and comprehend data that can help decision makers in any organisation conduct a cost/benefit analysis and adjust their environmental policies accordingly, that too with just a few clicks. 

Here are some of the benefits of using these technologies to digitise operational processes: 

1. Automated Processes: Firms can automate manual processes, reducing the energy and resources needed to complete tasks
2. Predictive Maintenance: Companies can predict when equipment is likely to fail, allowing them to replace it before it does. This will reduce energy consumption and waste generated. 
3. Optimisation: AI can analyse data to identify areas of the business where energy and resources are being wasted, and suggest ways to optimise processes and reduce consumption. 
4. Supply Chain Management: AI can help companies optimise their supply chains to reduce the carbon footprint of transportation and other logistical processes. 
5. Sustainable Decision Making: AI can help companies make more informed and sustainable decisions by providing insights and data on the environmental impact of different actions.