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EnglishOn December 23, at the AI DingTalk 1.1 product launch event, Wei Jun, Chairman of Zhejiang Youkela Intelligent Technology Co., Ltd., attended and shared the latest AI Table use cases. As a professional brand that has been deeply engaged in the starry sky light field for 15 years, Youkela uses AI Tables to capture reviews to assist product R&D, achieve intelligent product quality inspection and compliance for product listing, and analyze data to improve ROI. During this year's "Double 11" shopping festival, thanks to its AI-driven efficient operational capabilities, the company successfully handled the surge in orders and was featured on CCTV, becoming a model for small and medium-sized manufacturing enterprises leveraging AI to achieve breakthrough growth.
Patent Accumulation and Model Upgrade
Founded in 2008, Youkela has focused on the R&D and manufacturing of starry sky lights for 15 years. The company holds more than 40 domestic and foreign patents, including invention, utility model, and design patents. It represents an upgraded version of the Yiwu "front store, back factory" model and is now a leading starry sky light enterprise across all online platforms, holding licenses from well-known brands such as Disney, Ultraman, Sanrio, and Crayon Shin-chan. Wei Jun pointed out that in traditional operating models, companies spend 80% of their time on data collection and processing, leaving only 20% for decision-making. The introduction of DingTalk AI Tables has helped Youkela completely reverse this situation.
AI-Driven Product Innovation
In visual consumer categories like starry sky lights, user demands are constantly changing. Youkela uses RPA technology to automatically collect data from Taobao Business Advisor, combining it with AI Table analysis to evaluate keyword popularity and product correlations, allowing business opportunities to be "identified" and automatically pushed to the relevant DingTalk groups of responsible personnel. At the same time, AI analyzes more than 5,000 customer reviews to extract sentiment and needs, generating user pain points,痒点 (itch points), and scenario tags, which greatly assist product design. This not only reduces data screening time from 2 hours to 5 minutes and achieves 100% coverage in hotspot identification but also significantly increases the success rate of product development, enabling the iteration of niche product lines such as the "Romantic Proposal" series, the "Children's Companion" series, and the "INS-Style Photography" series.
Intelligent Quality Inspection and Compliance Listing
In terms of intelligent self-inspection and compliance listing, an AI agent trained by DEAP is embedded in the AI Table. When the estimated click-through rate of a product's main image falls below the industry average, the listing is automatically blocked. The system then verifies the content against advertising law compliance rules, ensuring that products are only listed after they meet all regulatory requirements. This measure has increased the first-launch success rate from 60% to 92%, significantly reducing customer complaints caused by errors.
In addition, previously, product operations and promotion required operators to spend 4 hours every day adjusting strategies, with poor results. With AI DingTalk Tables, the time spent adjusting promotion strategies has been drastically reduced from 4 hours per day. The system automatically analyzes product link data and instantly pushes optimization recommendations (such as suggesting increased promotion for high-performing links), greatly improving both decision-making responsiveness and promotional effectiveness.
Wei Jun emphasized: "The pain of failure is the main theme for us small and medium-sized business owners. But in the AI era, only by proactively adopting technology can we transform our business speed into global competitiveness, navigate economic cycles, and look forward to a promising future." From the Yiwu small commodity market to the global supply chain, Youkela's story confirms the value of AI technology for traditional industrial and trading enterprises. As Wei Jun said, "The future belongs to those enterprises that dare to redefine the way they work with AI."
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