Using AI and Data Analytics to Reduce the Risk of Climate Change on Fashion Supply Chains

Fashion’s supply chains are already feeling the effects of climate change. Unusually strong monsoon rains in Pakistan, drought in Texas, and other extreme weather events have caused a decline in the production of natural fibres like cotton, wool, and silk. This could lead to a humanitarian crisis for farmers who rely on cotton production for their livelihoods. To combat this, businesses must take action now to reduce the risk of climate change on their supply chains.

AI and data analytics can help fashion businesses identify and mitigate risks in their supply chains. By using predictive analytics, businesses can anticipate extreme weather events and plan accordingly. AI can also be used to monitor the production of natural fibres and detect any changes in the environment that could affect the quality of the fibres. Additionally, AI can be used to track the conditions of workers in the supply chain, ensuring they are receiving the necessary support and resources.

Climate change is a global issue that affects us all, and fashion businesses must take responsibility for their part in this crisis. By using AI and data analytics, businesses can reduce the risk of climate change on their supply chains and ensure that their workers are safe and supported.