assortment planning, integral to multiple commercial offerings, is a key
problem studied in e-commerce and retail settings. Numerous variants of the
problem along with their integration into business solutions have been
thoroughly investigated in the existing literature. However, the n
通过 Large Language Models(LLMs)的最新进展,研究如何将这一颠覆性技术应用于供应链自动化,并解决人类理解和信任之间的间隙。设计了一个名为
ame {} 的框架,通过输入纯文本查询并输出有关底层优化结果的见解。同时,我们开发了一个通用的评估基准,用于评估 LLM 在其他情景中的准确性。