Create a resale intelligence platform that helps users evaluate whether second-hand products are worth buying for personal use, refurbishment, or resale.
Allow users to enter product details, purchase price, condition, repair costs, platform fees, shipping, expected selling price, and time required to sell. Support importing historical transaction data and manually collected market listings.
Calculate net profit, margin, capital locked up, break-even price, and expected return under multiple selling scenarios. Compare similar items by condition, age, brand, and included accessories.
Build a pricing experiment tool that compares conservative, market-aligned, and ambitious asking prices. Include a negotiation calculator that determines the maximum purchase price consistent with a user's target margin.
Use actual supplied data for market estimates whenever possible. Clearly label hypothetical prices, account for unsold inventory and returns, and never fabricate live market listings. Include an inventory ledger and downloadable buying decisions report.
0 Comments