本研究個案以傳統紡織公司運用新科技AI人工智慧圖形辨識，縮短產品交期及倉庫管理庫存品的老問題為案例。本文展示一個成功的數位轉型案例。個案公司透過新科技構思解決方案和透過機器學習建構AI圖形辨識模型。過程中，著手建置數位圖庫，並形成新的商業機會。更重要的是，藉此進行新科技效果分析及財務觀點的成本效益分析的討論。據Google公司表示，和明紡織在2018年3月發表了「TEXTIP」數位布料平台，這是台灣第一個製造業投入機器學習的成功案例。自此，和明紡織逐步跨入數位轉型，除了原來的B2B商業模式之外，也因此新增B2C新商業模式。

This study addresses a case study on a current scenario on a traditional textile company that uses new technology AI-pattern recognition to shorten lead time and solve the inventory management issues. This paper demonstrates a successful digital transformation case. The case company conceives a solution through the new technology and constructs an AI pattern recognition model through machine learning, and in the process, starts to build a digital image database, which, as a result, leads to new business opportunities. What’s more, new technology effectiveness analysis and cost-benefit analysis from a financial perspective are also discussed. According to Google, Hermin Textile released the "TEXTIP" digital fabric platform in March 2018, which is the first successful case of investing in machine learning in Taiwan's manufacturing industry. Since then, Hermin Textile has gradually stepped into digital transformation, adding a new B2C business model in addition to the original B2B business model.

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