With the advent of large language models (LLMs), there is a growing belief in their capability Large language models (LLMs) have attracted considerable attention to tackle these challenges. To this end, the organizers of Amazon in various fields for their cost-effective solutions to diverse KDD Cup'24 introduced ShopBench, a benchmark designed to simulate challenges, especially with advancements in instruction tuning and the complexities of online shopping. It includes 57 tasks and quantization. E-commerce, with its complex tasks and extensive approximately 20,000 questions sourced from real-world Amazon product-user interactions, presents a promising application area for shopping data. The competition includes 5 Tracks: LLMs. However, the domain-specific concepts and knowledge inherent in e-commerce pose significant challenges for adapting general Shopping Concept Understanding: Decoding complex shopping LLMs.