This is a submission for the Runner H "AI Agent Prompting" Challenge
What I Built
I created an AI-powered autonomous product research agent using Runner H, focused on helping e-commerce sellers identify high-potential products for platforms like Amazon, Etsy, and Shopify.
This Runner H agent performs:
- Trend analysis across platforms (Amazon, TikTok Shopping, Google Trends)
- Product data aggregation (prices, reviews, profit margins)
- Competition scoring
- Supplier discovery
- Launch strategy generation
All of this is saved in a structured PDF and Google Sheet for actionable insights.
Demo
Prompt Used
Agent Objective:
You are an AI Agent designed to help Amazon sellers identify profitable product opportunities by scanning e-commerce trends, evaluating market demand and competition, and shortlisting suppliers.
Inputs Required:
- A keyword or niche idea (e.g., “portable blender”, “eco-friendly yoga mat”)
- Minimum profit margin (%)
- Minimum monthly search volume
- Maximum competition threshold (scale of 1–10)
- Target region (e.g., US, India)
Tasks:
1. Trend Research:
- Search Amazon, Google Trends, Etsy, and TikTok Shopping to evaluate the popularity of the keyword.
- Capture top 5 trending related keywords.
- Summarize seasonality insights if any (e.g., spikes during summer).
2. Market Evaluation:
- Find 5 top-selling listings on Amazon for the keyword.
- Collect price, estimated monthly sales, reviews, rating, and fulfillment type (FBA, FBM).
- Calculate rough profit margin: (Price – Est. Cost) / Price.
- Flag products meeting the margin & volume criteria.
3. Competition Analysis:
- Count total number of sellers.
- Analyze top 3 sellers’ review counts.
- Estimate barrier to entry (low/medium/high).
- Score the competition level from 1–10.
4. Supplier Discovery:
- Search Alibaba or IndiaMART for potential suppliers.
- List top 3 suppliers with MOQ, cost per unit, and contact info.
5. Launch Plan Generation:
- Recommend pricing strategy.
- Suggest 3 key differentiators or features.
- Suggest initial launch platform (Amazon, Etsy, own store).
- List recommended ad budget and keywords.
Youtube Link
RUNNER H LINK : Prompt Link
Outputs:
Write all outputs in a structured PDF with fields matching the Google Sheet schema below.
Generated PDF
AI Market Analysis - Google Sheets
How I Used Runner H
Workflow Structure
- Input Collection
- User enters a niche or product idea (e.g., "phone")
- Trend Analysis (Runner H agent)
- Scrapes Amazon bestsellers, Google Trends, TikTok Shopping
- Extracts seasonality, rising interest, top keywords
- Market Evaluation
- Collects top listings from Amazon (price, reviews, rating)
- Estimates profit margin, average monthly sales
- Assigns a competition score
- Supplier Sourcing
- Pulls top matches from Amazon / IndiaMART with MOQ and pricing
- Launch Strategy Generator
- Recommends pricing, ad budget, key differentiators, and best platform
- Data Export
All data saved to a structured Google Sheet: AI Market Watch – Q2
Use Case & Impact
Who it helps:
- Indie e-commerce founders
- Amazon FBA sellers
- Product researchers
- DTC brands
What it solves:
- Manual product validation is time-consuming. This solution speeds up:
- Market research
- Competitor tracking
- Sourcing suppliers
- Launch planning
Social Love
Made with ❤️ by Shreya N