Amazon Market Intelligence & Feasibility

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Analyzes Amazon market data from SIF/Sorftime to provide comprehensive feasibility reports and data-driven Go/No-Go investment decisions.

This skill automates the complex process of Amazon product research by analyzing .xlsx data exports from industry-standard tools like SIF (Seller Sprite) and Sorftime. It performs a rigorous 7-step evaluation including market capacity trends, brand concentration analysis (CR3/CR5), and price point opportunity mapping. By utilizing Python-based calculations, it simulates profit margins for both air and sea freight scenarios, evaluates risk matrices, and provides a structured 'Go/No-Go' recommendation to help e-commerce sellers minimize risk and identify high-potential niches.

Key Features

01Comprehensive 7-step market analysis framework including brand dominance and price mapping
023 GitHub stars
03Weighted scoring matrix to identify optimal price ranges for new entrants
04Detailed profit margin calculator accounting for FBA fees, logistics, and return rates
05Automated processing of SIF and Sorftime .xlsx data exports
06Professional 6-sheet Excel report generation with actionable decision summaries

Use Cases

01Validating a new product niche before committing to manufacturing or sourcing
02Identifying the optimal price point to enter a category based on competitor performance
03Analyzing competitor brand dominance and market entry barriers for specialized categories