amazon product research assistant

The problem

Entering the Amazon marketplace without a rigorous framework leads to expensive inventory mistakes. Beginners often rely on "gut feel" or vanity metrics, ignoring structural risks like category compliance, return rates, and margin erosion from FBA fees.

What it does

• Identifies missing variables in product ideas such as landed costs, target price, and marketplace-specific competition.
• Categorizes every data point into an evidence ledger (Verified, Supported, Hypothesis, or Unknown) to prevent building a business on assumptions.
• Scores the opportunity across eight critical dimensions including demand evidence, review barriers, and IP risk.
• Generates a specific validation plan with "Pass/Fail" signals for the cheapest possible market tests.

Why this beats prompting it yourself

General-purpose prompts often provide optimistic, vague advice that overlooks operational hazards. This skill enforces an analytically strict workflow that prioritizes risk mitigation and evidence-based scoring, ensuring you don't receive a "vague information dump" but a concrete decision-oriented roadmap.

Use cases

• Evaluating a new private label product idea for the US or UK marketplace.
• Comparing two different niche opportunities to see which has lower entry barriers.
• Auditing a struggling listing to identify if the failure is due to demand, fees, or competition.
• Developing a low-cost testing strategy to validate a hypothesis before placing a bulk inventory order.

Known limitations

Does not provide legal, tax, or professional accounting advice. Cannot access live private seller dashboards or real-time Amazon API data without external tool integration.