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Zhiyi Technology won the 'Bronze Award' in the 2026 'Business Butler Cup' E-commerce AI Challenge
2026-06-03 Zhiyi Operations Team
 

On May 28, after more than three months2026 'Business Manager Cup' E-commerce AI ChallengeThe finals concluded successfully in Hangzhou.Zhiyi Technology, with its subsidiary "Zhi Xiaoyi-Fashion Design Planning Agent‘stunning performance,’Won first place in the overall category in one fell swoopNameandthis sessionCompetition Bronze Award

 

知衣科技,知小衣,服装AI,服装大数据,服装AI Agent

 

Jointly with Taobao, Qianwen, and Alibaba Cloud, this 'practical exercise'FocussolveMerchantPain pointAs a bellwether for AI applications in domestic e-commerce and industrial transformation and upgrading, the 2026 'Business Butler Cup' E-commerce AI Challenge is guided by the Zhejiang Provincial Department of Commerce and jointly organized by the Taobao Open Platform, Qianwen Large Model, and Alibaba Cloud. Unlike traditional competitions that are limited to parameter and theoretical contests, this competition directly collects the real operational pain points and demands of millions of merchants as the challenge topics, throughThe harsh confrontation of 'online evaluation, offline combat', comprehensively testing the hard capabilities of AI tools in solving real business problems. At the finals, Zhiyi Technology's 'Zhi Xiao Yi' competed alongside outstanding AI applications from various tracks, facing rigorous challenges from expert judges, tech gurus, and real market practice,"Zhi Xiao Yi" demonstrated extremely profoundApparel industryScene understanding ability andLandApplicationEffect, ultimatelyWon first place in the comprehensive group and the bronze award in the competition.

 

知衣科技,知小衣,服装AI,服装大数据,服装AI Agent

 

 

2026 'Business Manager Cup' E-commerce AI ChallengeofThemeforE-commerce+AIdivided into 5bigTrackincludingDataInsightConsumerOperationMaterial&ContentOperationE-commerceOperationAgentComprehensiveWaitthis timeCompetitionFocusFollow"Merchant Operation Efficiency" and "Merchant Business Growth"“Zhi Xiao Yi”Not onlycanComprehensiveEfficiency improvementClothingDesignPlanningWorkflowMoreovercanEnhanceBest-sellerDevelopofProbability

 

As a 'digital employee' of a clothing company, 'Zhi Xiao Yi' is able to independently complete tasks in the clothing companyDataInsightIntelligentProduct selectionTrend AnalysisandVarious complex tasks in the context of clothing redesign.

 

After receiving the assignment, 'Zhi Xiao Yi'ExecuteA 7×24 hour efficient workflow, achieving full-chain intelligence through four core functionsclosed loop: FirstData insights precisely capture market trends, automatically reviewing sales data of mid-to-high-end women's fashion and other segmented e-commerce markets, deeply benchmarking industry brands, pinpointing key categories, and completely changing the traditional lagging model of 'relying on intuition and copying popular items'; secondly,Trend report delivers fashion foresight in seconds, based on powerful big data processing capabilities in the industry, intelligently analyzing trend elements and consumer demands across the entire network, independently extracting and producing highly reliable trend reports, helping enterprises accurately pinpoint the next 'traffic code' even before new product development; thirdlyIntelligent product selection achieves scenario-based precise matching, whether you are looking for recently popular style shirts or specifically matching Chinese-style coats, 'Zhi Xiao Yi' can intelligently select and benchmark products based on specific price ranges, styles, and consumption scenarios, significantly improving the hit rate of planning and selection; fourth,ClothingAIDesignandCommercial photography, in the design and modification stage, designers only need to input simple intentions and fine-tuning instructions, and 'Zhi Xiao Yi' can quickly generate multi-dimensional, high-quality clothing design sketches, modification renderings, and detailed product sales points, shortening the transition time from 'inspiration' to 'product' tominuteLevel.

 

知衣科技,知小衣,服装AI,服装大数据,服装AI Agent

 

As the global apparel industry is transforming towards a 'fast-paced, small-batch, high-frequency' flexible supply chain, the traditional planning and R&D models have reached a point where change has become inevitable.FutureZhi XiaoyiAgentContinue to deepenPromoteDataInsightIntelligentProduct selectionAIDesignPlanningAI Commercial PhotographyWaitSceneIntelligentUpgrade, bringing a more efficient and smarter way of working to the clothing industry.

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