Product Hunting, Feasibility & Profit Analysis Overview
This project focuses on identifying profitable products to sell on Amazon through a detailed product hunting and feasibility analysis process. Using real marketplace data from Amazon and Alibaba, I evaluated product costs, ROI, and profitability to determine high-potential items for e-commerce investment.
Objective
To analyze multiple shortlisted products from different categories and identify those with the highest profit margins and ROI, while ensuring feasible investment and competitive advantage on Amazon.
Key Steps
Built an interactive BI dashboard to showcase product performance, cost structure, and profitability flow.
Product Hunting
Selected 5 trending and consumable products from Amazon with high sales velocity and manageable competition
Cost Benchmarking:
Compared Amazon selling prices with Alibaba wholesale rates to calculate landed cost, MOQ, and profit margins.
Feasibility Report Creation:
Develop a complete excel base feasibility model including :
1- Cost per unit breakdown
2- ROI and profit per unit formula s
3- Bulk order cost analysis
4- Breakeven and investment metrics
Power BI Dashboard Development:
Transformed Excel data into a dynamic dashboard featuring:
1- Profit & ROI trend visuals
2- Investment vs ROI correlation
3- Product-wise KPI summary
4- Profit Flow analysis per product
Project Portfolio and Visuals
The project demonstrates how analytical thinking, cost modeling, and BI visualization to be combined to make smart product decisions for e-commerce success.
