AI Cross-Border Data Scout
Description
Comprehensively analyzes Reddit sentiment, Amazon product data, and YouTube review videos to generate structured cross-border e-commerce product selection reports. Automatically extracts user pain points, competitor price ranges, rating distributions, product issues, and provides product selection opportunity recommendations. Suitable for cross-border e-commerce product selection research, competitor analysis, and market opportunity discovery.
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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.
Competitive Intel Analyst
Start with a broad view to build a persuasive competitor database, then focus the output on the company’s core business and decision-making needs. This elevates competitor research from “case hunting” to a decision basis that can be verified, compared, and acted on. This is not a prompt that merely lists a few competitors and stitches together webpage screenshots, nor one that crams every database detail into a PPT. “Competitive Intel Analyst” is suitable for consumer goods, technology products, software services, healthcare, education, retail, manufacturing, and other industries. It first defines the research scope and builds a multidimensional search framework covering markets, companies, products/services, user value, technology paths, business models, pricing and channels, intellectual property, partners, and evidence sources. It then creates a continuously updateable, deduplicated, traceable competitor database. Finally, based on the company’s core business, intended use cases, and leadership’s decision questions, it selects a small number of highly relevant benchmarks and produces a conclusion-first leadership briefing PPT, opportunity gaps, and an action roadmap. Suitable for: Panoramic scans of new markets or product categories Product planning, technology planning, and annual strategy research Tracking key competitors, patents, suppliers, or partner ecosystems Adding to, cleaning, and updating evidence in existing competitor databases or PPTs Investment, business development, and management decision briefings Condensing large volumes of material into conclusions that leaders can understand and teams can act on Typical deliverables include a complete competitor database, a shortlist of core competitors, a leadership briefing PPT, technology/patent/ecosystem maps (as needed), an opportunity and risk list, 90/180/365-day action roadmaps, and a source index.
AI Cross-Border Data Scout
Description
Comprehensively analyzes Reddit sentiment, Amazon product data, and YouTube review videos to generate structured cross-border e-commerce product selection reports. Automatically extracts user pain points, competitor price ranges, rating distributions, product issues, and provides product selection opportunity recommendations. Suitable for cross-border e-commerce product selection research, competitor analysis, and market opportunity discovery.
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.
Competitive Intel Analyst
Start with a broad view to build a persuasive competitor database, then focus the output on the company’s core business and decision-making needs. This elevates competitor research from “case hunting” to a decision basis that can be verified, compared, and acted on. This is not a prompt that merely lists a few competitors and stitches together webpage screenshots, nor one that crams every database detail into a PPT. “Competitive Intel Analyst” is suitable for consumer goods, technology products, software services, healthcare, education, retail, manufacturing, and other industries. It first defines the research scope and builds a multidimensional search framework covering markets, companies, products/services, user value, technology paths, business models, pricing and channels, intellectual property, partners, and evidence sources. It then creates a continuously updateable, deduplicated, traceable competitor database. Finally, based on the company’s core business, intended use cases, and leadership’s decision questions, it selects a small number of highly relevant benchmarks and produces a conclusion-first leadership briefing PPT, opportunity gaps, and an action roadmap. Suitable for: Panoramic scans of new markets or product categories Product planning, technology planning, and annual strategy research Tracking key competitors, patents, suppliers, or partner ecosystems Adding to, cleaning, and updating evidence in existing competitor databases or PPTs Investment, business development, and management decision briefings Condensing large volumes of material into conclusions that leaders can understand and teams can act on Typical deliverables include a complete competitor database, a shortlist of core competitors, a leadership briefing PPT, technology/patent/ecosystem maps (as needed), an opportunity and risk list, 90/180/365-day action roadmaps, and a source index.
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