Product research software built by a seller — estimates and workflows, not guaranteed outcomes
Built by an experienced Amazon seller, for sellers
I've been an entrepreneur since 2019, dedicating myself full-time to building a successful Amazon business. For the last 4 years, I've worked exclusively as an Amazon seller, learning the ins and outs of the platform, understanding what makes products profitable, and discovering the challenges that sellers face every day.
Individual selling results vary widely; my own experience emphasized how much consistent research discipline matters — not any single tool or tactic.
ProfitLooker exists to reduce repetitive research work and surface clearer estimates from public data. It is software you use to inform your decisions; it does not guarantee profits or inventory performance.
Transparent software for research — not a promise of income
Features reflect common Amazon research pain points: fragmented tabs, manual matching, and fee math — solved as software, not as a business opportunity.
We use AI to suggest retailer matches and organize data; you verify pack size, condition, and suitability before buying inventory.
The goal is to spend fewer hours on mechanical lookups so you can focus on judgment calls and risk management.
Margin views depend on inputs and third-party data; they are estimates and can be wrong — always confirm before sourcing.
Honest tooling for product research
We aim to present sourcing math and matches in one place so you can decide with fewer context switches — without claiming guaranteed winners.
We want serious researchers — new or experienced — to have professional workflows without misleading “get rich” messaging.
Outcomes depend on capital, timing, compliance, and execution. ProfitLooker is a tool in that stack, not a substitute for your judgment.