Development trends of large language models and their applications in green digital intelligence of supply chains
Ling Huang, Wanqiu Deng, Yiling Jiang, Qinghua Zhong · 2024
In recent years, large language models (LLM) have developed rapidly and been widely used in the field of natural language processing, and have made significant progress and been widely used in both academia and industry. Large language models have also shown great potential in promoting the green digital intelligence of the supply chain. The development of language models provides technical support for the green digital intelligence of the supply chain. The model's text analysis capabilities can help companies analyze information such as suppliers' renewable energy usage, carbon footprint, environmental and social responsibility reports, and thus make more informed sourcing and supplier selection decisions. At the same time, the large language model can analyze supply chain data, provide suggestions and optimization plans for energy conservation and emission reduction, predict and manage environmental risks, and promote enterprises to transform into a more sustainable and environmentally friendly supply chain.