The transition to Industry 5.0, supported by the high-bandwidth and low-latency capabilities of 6G networks, accelerates the demand for personalized products, making efficient and accurate product style recognition a critical task. However, traditional recognition models, which rely heavily on large-labeled datasets, struggle with generalization and efficiency in such data-rich environments. In contrast, multimodal large language models (MLLMs), such as Qwen-VL, offer new possibilities by integr