Industry background and pain points
In 2025, clothing brands will enter a new stage of intelligent operation and AI cost reduction, facing three major challenges:
Changes in consumer behavior and brand differentiation
Inventory Management and Excess Inventory Issues
Low efficiency in style development
Core functions
Global platform to observe market patterns and gain precise insights into segmented trends
Aggregate the sales data of 50+ e-commerce platforms such as Taobao, Tiktok, Xiaohongshu, Duwu, Amazon, Temu, Schein, and AliExpress to create a comprehensive data insight system.
Deeply analyze segmented market trends such as clothing fabrics, popular colors, price bands, and design styles, grasp consumer preferences, and plan product strategies in advance.
Assist brands in quickly grasping overall performance, accurately positioning market opportunities, optimizing product strategies, and achieving efficient overall planning and steady growth decisions.
Accurately understanding the performance of competitors and building a sales quality benchmarking system
Sales analysis
Evaluation analysis
Inventory analysis
Promotion Analysis
Public opinion analysis
AI driven design full chain, cloud collaborative management of style assets
Multi platform selection
Inspiration into a Style
Virtual try on
Multi style fusion
Automatic generation of line drafts
Digital management of the entire production process, reducing the design cycle from 2 weeks to 3 days
Customer Cases
URBAN REVIVO
Pain points
UR requires in-depth analysis of segmented markets across multiple platforms and tracks, resulting in a high demand for market trends and multi platform data
Plan
Zhiyi Technology has assisted UR in improving its selection and design collaboration capabilities in terms of style, age group, and price range through AI data industry insights and intelligent reporting functions, and has further enhanced the efficiency of UR's daily data analysis work in the data department
Results
MO&Co.
Pain points
It is necessary to timely check the new and popular styles of the target store and market, and also understand the market pricing strategy of the target style to assist designers in optimizing costs and inventory
Plan
Zhiyi Technology has enabled MoAnke to establish intuitive and objective market data insights more efficiently by mining market trends and predicting popular styles. It has also assisted MoAnke in increasing tens of millions of dollars in revenue at decision-making levels such as product selection and pricing, further improving the efficiency of daily collaboration in the data department
Results
