Competition and Challenges in the Cross border Clothing Industry
Intensifying competition, difficulty in capturing trends, rising costs of popular products, and high commercial auction costs
Trend lag
The trend of overseas fashion is difficult to track
The disconnect between social media hotspots and product data
Inefficient selection
Manual screening is time-consuming and difficult to replicate popular products
Multi platform data dispersion (Temu/Shein/Amazon, etc.)
Design bottleneck
The efficiency of facelift is low, and there is a lot of pressure to quickly reverse small orders
Pricing and style strategies lacking data support
Design bottleneck
The efficiency of facelift is low, and there is a lot of pressure to quickly reverse small orders
Pricing and style strategies lacking data support
AI driven selection design full chain
Covering scenes
Independent site selection
Exploring popular social media products
Cross border platform benchmarking
Commercial sample clothing production
Core functions
Trend Radar
Real time capture of global fashion trends
Aggregate hot selling data from over 50 e-commerce platforms such as Taobao, Amazon, Temu/Shein, and AliExpress
Analyzing the fashion trends of millions of Instagram/TikTok influencers
AI generates quarterly category&color trend report
AI Selection Engine
Lock potential products in seconds from massive data
Map Search covers over 70 million product libraries
Support 「fabric/silhouette/style」 combination screening
Model for predicting the success rate of popular products
Design efficiency improvement tools
AI assisted clothing creation process
Automatic generation of line drafts
Inspiration into a Style
Virtual try on
Multi style fusion
The design cycle has been shortened from 2 weeks to 3 days
Customer Success Stories
Hangzhou Senbo E-commerce
Senbo is a clothing ODM enterprise that operates or contributes to multiple overseas radio stations. Currently, it owns several clothing brands such as Simplee, Glamaker, Conmoto, and BIKnX. After using the Zhiyi program, the proportion of returned styles is 58%, and the popularity rate has increased by 55%
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Business requirements
Senbo develops over 200 new styles every month, with only 4 fashion designers in the team responsible. The huge number of designs and the limited number of designers create a strong contrast. Faced with the new speed and high frequency of designs, designers are under great pressure to grasp the style
Usage scenario
The brand supply unit price of Senbo is mostly over 30 US dollars. Designers can quickly find the target style by selecting various sub dimensions such as region, category, and price according to demand in the 'Overseas Exploration' [Product Center]. Analyze the SKUs of popular products among competitors to improve the efficiency of product opening. Designers will also find the latest popular styles on the platform based on the 'Community Trends' section, which will be used to evaluate styles with good sales effects and predict future market trends. By using the image search function to quickly find similar styles across the entire network, we can improve the efficiency of design and innovation
Project effectiveness
A supplier of a well-known independent website in Guangzhou
The client is mainly an ODM supplier for well-known independent websites, and wants to improve the team's payment efficiency, create popular products, and increase the frequency of return orders. After using the Zhiyi solution, the proportion of returned styles increased by 58% and the popularity rate increased by 55%
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Business requirements
The customer is currently struggling to keep up with the pace of product launches, unable to see actual explosive/potential new products from other competitors, lacking direction in product launches, and facing bottlenecks in design innovation
Usage scenario
Through overseas product exploration, customers can aggregate and view the latest and hottest styles in different categories on their independent website in 'My Monitoring', efficiently find valuable new products, track new hot selling products, explore competitors' hot selling products, analyze the SKUs of hot selling products, and improve the probability of returning orders. Designers will also pay attention to new and popular styles on other niche independent websites for innovation and redesign. By using the image search function, they can quickly find similar styles with high sales across the entire network, improving the efficiency of design and innovation
Project effectiveness
