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Amazon Broad Product Search

nexscope-aibynexscope-ai
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55
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Soluciones de Comercio Electrónico

Searches and filters Amazon product databases using SellerSprite intelligence to identify high-potential niches, assess market competition, and analyze sales metrics.

Empowers e-commerce sellers and market analysts to discover lucrative Amazon opportunities by executing deep, multi-dimensional product searches via SellerSprite data across 10 global marketplaces. It enables fine-grained filtering across real-time and historical monthly metrics—including Best Sellers Rank (BSR), estimated monthly sales and revenue, gross profit margins, review ratings, seller origin, and fulfillment methods. Whether scouting low-competition niches, evaluating product improvement potential, or tracking seasonal trends, this skill equips Claude Code with actionable e-commerce intelligence to make data-backed product selection decisions.

Características Principales

01Multi-dimensional product filtering across monthly sales, revenue, BSR rank, and gross profit margins
02Granular competitive filtering by seller origin, fulfillment method (FBA/FBM/AMZ), and Amazon badges
03Historical snapshot analysis (monthly yyyyMM) and real-time 30-day performance tracking
04Review and rating sweet-spot mining to uncover unmet customer needs and product improvement opportunities
0555 GitHub stars
06Multi-marketplace support covering US, UK, DE, FR, JP, CA, IT, ES, MX, and IN

Casos de Uso

01Product Improvement Mining: Screen for products with moderate review ratings (3.8-4.3) and strong sales to find redesign candidates.
02Competitive & Seasonal Analysis: Compare historical snapshot data (e.g., Q4 holiday peaks) against real-time 30-day seller metrics.
03Niche Opportunity Discovery: Identify low-competition, newly listed products generating high monthly revenue.