ZHIYI TECH

Established in 2018 by a team with pedigrees from Peking University, Zhejiang University, and Carnegie Mellon University, Hangzhou Zhiyi Technology Co., Ltd. operates at the intersection of artificial intelligence and fashion. The company, also known as ZHIYI TECH, was co-founded by CEO Zheng Zeyu, who previously worked as a senior R&D engineer at Google, CTO Wen Miaomiao, a former data scientist at Coursera, and COO He Zhi. Their collective expertise in AI, data science, and supply chain management underpins the company's core mission.

ZHIYI TECH provides a comprehensive suite of AI-powered big data solutions for the fashion industry, positioning itself as a key enabler of digital transformation for apparel brands. The firm's business model is centered on a Software-as-a-Service (SaaS) platform that offers data-driven trend forecasting, bestseller analysis, and intelligent style recommendations. By compiling and analyzing style and sales data from major e-commerce and social media platforms, the company empowers designers and brands to make more informed decisions. Revenue is generated through subscriptions to its various SaaS products and a one-stop-shop service that integrates design with a quick-response supply chain. This dual approach addresses the industry's need for both market intelligence and agile production capabilities. The company serves a diverse client base that includes prominent names like Nike, SHEIN, Gap, and Urban Revivo, and covers over half of China's publicly listed apparel companies.

The company's product portfolio is designed to address the entire fashion lifecycle. Core offerings include "Zhiyi" for e-commerce data analysis, "Zhikuan" for trend discovery, and "Fashion Diffusion+", an AIGC tool for intelligent design and commercial photography. These tools leverage proprietary technologies like fashion image recognition with up to 95% accuracy and flexible object recognition algorithms. For client Urban Revivo, ZHIYI's platform reportedly increased the chances of creating bestselling items by 5 percentage points and improved the sell-through rate from 60% to 80% over a three-year period. The company has secured significant financial backing, completing three funding rounds totaling nearly $100 million by early 2022 from investors such as Hillhouse Investment Group, Legend Capital, and Kuaishou.

Keywords: fashion technology, AI in apparel, apparel data analytics, trend forecasting, supply chain management, SaaS, clothing design software, e-commerce intelligence, fast fashion solutions, merchandise planning, AI-powered design, style recommendation, quick-response supply chain, retail analytics, fashion AI, data-driven design, apparel industry, digital transformation, clothing data, bestseller prediction, social media trend analysis