Amazon Profit Analyzer
Build a revenue waterfall, identify hidden costs, assess ACoS and returns, and test Amazon profit optimization scenarios.
- Author
- Nexscope AI
- License
- MIT
- Verification
- Source reviewed
- Last verified
- 2026-08-19
What it does
Organizes revenue, Amazon fees, landed cost, advertising, returns, overhead, margin, and optimization scenarios.
When to use
Use it for SKU profitability reviews, product validation, budget planning, and post-launch operating decisions.
Inputs
- Units, selling price, discounts, and sales period.
- Product, freight, Amazon, advertising, returns, and overhead costs.
- Baseline and alternative assumptions for sensitivity testing.
Outputs
- Revenue and cost waterfall.
- Contribution margin, net margin, and break-even indicators.
- Scenario comparison and the largest profit levers.
Example workflow
- Load one month of SKU sales and cost data.
- Reconcile revenue and every variable cost category.
- Compare the baseline with lower ACoS, lower returns, or a new price.
Supported agents and setup
Review the upstream framework before installation and keep source files containing financial data under local access control.
Account, API, and permission requirements
No API key is declared. Accurate analysis requires complete, period-aligned sales and cost inputs.
Limits and human review boundary
- Missing refunds, storage, taxes, overhead, or fee adjustments can overstate profit.
- Sales estimates are not a substitute for settled financial records.
- The output is operational analysis, not accounting or tax advice.
Pair with Ecommerce Data API
Use details, sales estimate, and sales trend APIs for market-side context, then reconcile them with the seller’s actual financial records.
Related Ecommerce Data APIs
/v1/amazon/asin/detailRetrieve product metadata, pricing, ratings, category, and listing attributes.
/v1/amazon/sales/prediction/asinRetrieve current and historical sales estimates for an ASIN.
/v1/amazon/asin/sales-trendRetrieve sales trend data for an ASIN.