Green supply chain analytics is mainly at home in the areas of sustainability and environment 4.0, big data and smart data as well as digital transformation. It refers to the analysis and evaluation of data along the entire supply chain with the aim of making more environmentally friendly and sustainable decisions.
Modern technologies are used to collect and analyse data on energy consumption, transport routes, CO₂ emissions and material consumption. This enables companies to make their supply chain more environmentally conscious, for example by choosing greener means of transport or paying attention to sustainable raw materials.
An illustrative example: a fashion company uses green supply chain analytics to find out how many emissions are generated when transporting clothing from Asia to Europe. The analysis shows that transport by train would be more environmentally friendly than by plane. The company then decides in favour of train transport, significantly reducing its carbon footprint.
Green supply chain analytics therefore helps companies to make their own products more sustainable, better comply with legal requirements and at the same time improve their own image towards customers.






