We propose to design and develop an intelligent decision support system for fashion analytics (IDSS4FA) by integrating the visual and text analysis approach in the digital era using artificial intelligence (AI), natural-language programming (NLP), and big data technologies. We will use the collected “big data” to gather and combine massive amounts of structured and unstructured data to obtain an aggregate view of the key clothing trends. In this study, an IDSS4FA will be developed and evaluated in a real- world setting.