Cross-Border Product Selection
Description
Comprehensively analyze Reddit sentiments, Amazon product data, and YouTube review videos to generate a structured cross-border e-commerce product selection report. Automatically extract user pain points, competitor price ranges, rating distributions, product issues, and provide product selection opportunity recommendations. Suitable for cross-border e-commerce product selection research, competitor analysis, and market opportunity exploration.
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E-commerce Reviews AI Analyst
Deeply analyze e-commerce reviews based on 22 smart tag systems, mining user profiles, core selling points, main pain points, and business opportunities. Applicable for competitor analysis and product optimization on e-commerce platforms such as Amazon, Taobao, and JD.com. Adopts an 8-dimensional analysis framework (audience, scenario, product, quality, service, experience, market, emotion), generating professional reports containing quantitative statistics and qualitative insights.
Global Shopping Review Analyst
Collect product reviews from global shopping platforms (Taobao/Tmall/JD/Pinduoduo/Amazon/Walmart/eBay/AliExpress) and generate objective analysis reports. When users need to analyze product reviews, compare multi-platform evaluations, generate review summary reports, detect fake reviews, and perform data cleaning, this skill generates objective analysis reports (including sentiment analysis, topic extraction, and strengths/weaknesses analysis) and exports data in Excel format.
ResearchCross-border Market Intel
v2 architecture. Follows professional consulting firm standards to conduct global information scanning, cross-validation, credibility scoring, industry structure analysis, anomaly signal identification, and business opportunity discovery for specified industries, products, markets, or business models, and outputs structured intelligence reports. Seven-layer architecture: Data layer (including consumer side), Analysis layer (six modules, including geographic market stratification), Decision layer (including action priorities and vertical tracking), Survivorship bias mitigation, Industry cycle identification, Supply chain and compliance module, and Profit path and platform landscape.
Cross-Border Product Selection
Description
Comprehensively analyze Reddit sentiments, Amazon product data, and YouTube review videos to generate a structured cross-border e-commerce product selection report. Automatically extract user pain points, competitor price ranges, rating distributions, product issues, and provide product selection opportunity recommendations. Suitable for cross-border e-commerce product selection research, competitor analysis, and market opportunity exploration.
Related Skills
View allE-commerce Reviews AI Analyst
Deeply analyze e-commerce reviews based on 22 smart tag systems, mining user profiles, core selling points, main pain points, and business opportunities. Applicable for competitor analysis and product optimization on e-commerce platforms such as Amazon, Taobao, and JD.com. Adopts an 8-dimensional analysis framework (audience, scenario, product, quality, service, experience, market, emotion), generating professional reports containing quantitative statistics and qualitative insights.
Global Shopping Review Analyst
Collect product reviews from global shopping platforms (Taobao/Tmall/JD/Pinduoduo/Amazon/Walmart/eBay/AliExpress) and generate objective analysis reports. When users need to analyze product reviews, compare multi-platform evaluations, generate review summary reports, detect fake reviews, and perform data cleaning, this skill generates objective analysis reports (including sentiment analysis, topic extraction, and strengths/weaknesses analysis) and exports data in Excel format.
ResearchCross-border Market Intel
v2 architecture. Follows professional consulting firm standards to conduct global information scanning, cross-validation, credibility scoring, industry structure analysis, anomaly signal identification, and business opportunity discovery for specified industries, products, markets, or business models, and outputs structured intelligence reports. Seven-layer architecture: Data layer (including consumer side), Analysis layer (six modules, including geographic market stratification), Decision layer (including action priorities and vertical tracking), Survivorship bias mitigation, Industry cycle identification, Supply chain and compliance module, and Profit path and platform landscape.
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