Profit economics
Calculate total costs, estimated net profit, profit margin and return on investment from entered assumptions.
An interactive browser-based decision cockpit for evaluating product pricing, margins, ROI and risk scenarios using the assumptions a seller provides.
Founder-built browser application · Published product · No claimed performance metrics

Choosing a product for e-commerce often starts with excitement about the listing price. The harder question is whether the numbers still work after sourcing, shipping, fees and risk. I wanted a tool that makes those trade-offs visible before a seller commits money.
Built to help e-commerce sellers think through economics before committing budget.
An interactive browser-based decision cockpit for evaluating product pricing, margins, ROI and risk scenarios using the assumptions a seller provides.
Designed to be easy to explore, useful before making a decision, and honest about what the outputs do and do not mean.
Each capability supports the task the user came to complete, rather than adding features just to make the interface look busy.
Calculate total costs, estimated net profit, profit margin and return on investment from entered assumptions.
Explore break-even pricing, target levels and the room between current and safer prices.
Adjust supplier costs, shipping, marketplace fees or returns and inspect how sensitive profitability is.
Use a transparent decision-support score to identify products that merit deeper research.
See how outcomes change when major assumptions change, without starting a spreadsheet over.
Examine the economic fit of the selected marketplace based on manually supplied inputs.
Design and implementation were driven by a straightforward progression.
Identify the decisions a seller must make before committing capital.
Translate prices, costs, fees and risk allowances into comparable inputs.
Compute profit, break-even thresholds, risk scenarios and an opportunity score.
Present the trade-offs in a responsive dashboard that invites further research.
Real preview assets from the Mohsin Builds project library. Try the working product to explore its inputs and outputs.


Built as a responsive front-end product that runs in the browser without requiring a backend. The calculations rely on the values provided by the user.
The interface and calculations use standard web technologies; the experience is published using GitHub Pages.
This product does not pull real-time supplier, competitor, sales or market-demand data. Fees and costs are entered manually, so outputs are scenario estimates — not verified market forecasts or guaranteed profitability.
Good decision tools don't have to predict the market. They can expose which assumptions matter and make uncertainty easier to examine.
It reflects my approach to problem discovery, interaction design, front-end engineering and practical digital product delivery.
The product is available to try. If you're exploring something similar, let's talk about the actual problem.