Stop wrangling Amazon Seller Central exports in spreadsheets. Upload your reports, ask in plain English, and get profit, best-sellers, and returns instantly.
If you sell on Amazon, you are not short on data. Seller Central will hand you a business report, a payments report, a returns report, an inventory report, and more. What it does not hand you is a straight answer to the questions you actually care about: Which products make me money after fees? Which SKUs are quietly bleeding margin on returns? Is this month better or worse than last?
The usual workaround is a spreadsheet. You download a CSV, paste it next to last month's CSV, build a few formulas, and try to keep a growing workbook from breaking every time the column order changes. It works until it does not — and it never answers the next question without more manual work.
There is a faster path. Instead of living in spreadsheets, you upload your Amazon report to an AI analytics tool once, ask questions in plain English, and get charts, profit breakdowns, and trends back in seconds. This guide shows how, and which numbers are worth watching.
Seller Central is built to run your store, not to analyze it. Its reporting has three limits every serious seller runs into:
One report, one view. Each report answers a narrow question. Profit lives in one export, returns in another, ad spend in a third. To see the full picture of a single SKU you have to stitch them together yourself.
No memory across months. Reports are point-in-time. Trends — the thing that actually tells you whether a decision worked — mean downloading, aligning, and comparing exports by hand.
No plain-English questions. You cannot ask Seller Central "which products lost money after fees and returns last quarter?" You can only pull a predefined report and do the thinking in a spreadsheet.
An AI-native BI layer fixes all three: it reads your reports, keeps history when you re-upload, and lets anyone ask a question without building a formula. If you have hit these walls with spreadsheets in general, when to upgrade from Excel and Google Sheets covers the pattern in depth.
Here is the end-to-end flow in VedaX Studio. It is a report-upload flow, so you never have to share your Amazon login — you bring the same exports you already download.
1. Export your report from Seller Central — The business/sales report or payments report as CSV or Excel is a great starting point. Whatever columns Amazon gives you, the platform reads them.
2. Upload it to VedaX — Drop the file into the smart report upload. VedaX detects the columns and their types — which are dates, which are amounts, which are SKUs or order IDs — automatically. Uploads are read-only; nothing is written back to Amazon.
3. Re-upload next month without duplicating — When you upload a fresh export, VedaX dedupes on order and line identifiers instead of double-counting, so your history builds up cleanly over time.
4. Ask in plain English — Type "top 10 products by revenue this month" or "which SKUs had the most returns?" VedaX Buddy turns the question into a real query and returns a chart.
5. Pin to a dashboard and set alerts — Arrange the views that matter, schedule the dashboard as an emailed report, and set anomaly alerts so a spike in refunds finds you instead of the other way around.
You can try the whole experience on sample data in the live demo before uploading your own report.
Once your report is in, these all work without a single formula — VedaX writes the aggregation for you:
Sales & bestsellers — "What was total revenue this month vs last?" "Show my top 20 SKUs by units sold." "Which products grew the most quarter over quarter?"
Profit & margin — "Which products have the lowest margin after fees?" "Show gross vs net revenue over time." Margin math is only as good as the cost data you provide — if your cost-per-item is in the file, the numbers are real; if it is missing, add it first. See Shopify profit-margin analytics for the same principle applied to a store.
Returns & refunds — "What is my return rate by SKU?" "Which reason codes drive the most refunds?" Returns are where marginal products turn into losers — returns and refunds analytics breaks down how to act on them.
Portfolio decisions — "Which SKUs sell slowly and return often?" That is exactly the which products to stop selling question, answered from your own data.
Beyond answering what you ask, VedaX Insights runs ahead of you — forecasting where revenue is heading, tracking goals as on-track or at-risk, and using contribution analysis to explain which SKU or category drove a change when a number moves.
Vanity totals hide problems. These are the numbers worth putting on a dashboard and checking weekly:
- Net profit after fees — Revenue minus referral fees, fulfillment, ads, and returns. The only number that tells you if a product is worth selling.
- Contribution margin by SKU — Per-unit profit after variable costs, ranked. Your bestsellers by revenue are often not your bestsellers by profit.
- Return rate by SKU and reason — A rising return rate on one product, sliced by reason code, usually points straight at the fix (sizing, damage, wrong expectations).
- Repeat purchase rate — How much of this month's revenue came from returning buyers. See repeat purchase rate and LTV.
- Inventory velocity — Units sold per week vs stock on hand, so you reorder winners before they go out of stock and stop over-buying slow movers.
The point of a dashboard is not to admire these once — it is to make checking them a five-minute weekly habit. Turning dashboards into decisions covers how to build that ritual.
You do not need a spreadsheet wizard or a data team to understand your Amazon business. Upload the report you already download, ask in plain English, and let the charts and profit breakdowns build themselves — then keep them current by re-uploading next month.
VedaX Studio is read-only, keeps your data isolated per organization, and has a 30-day free trial so you can start without commitment. Selling on more than one marketplace? See multi-marketplace analytics to combine Amazon with Flipkart, Meesho, and Myntra in one view.
1. Start a free trial — Upload one Amazon export and let VedaX detect the columns.
2. Ask your first question — Type the metric you check most and pin the answer.
3. Build the dashboard — Add 4–6 views, schedule it, and set a returns alert.
Try it on sample data in the demo, or see plans on the pricing page when you are ready.
You upload reports. VedaX analyzes Amazon data through a smart report upload — you bring the CSV or Excel exports you already download from Seller Central, so you never share your Amazon login. The upload is read-only and nothing is written back to Amazon.
No. VedaX dedupes on order and line-item identifiers when you upload a fresh export, so your sales history builds up over time instead of double-counting. That is what makes month-over-month trends and profit history possible.
It calculates profit from the data you give it. If your report includes fees and your cost-per-item, VedaX computes net profit and margin per SKU. If cost data is missing, no tool can invent it — add your costs to the file first, then the margin math is real.
Totals, breakdowns, trends, comparisons, top and bottom rankings, and 'what drove this change' questions — for example 'top SKUs by profit,' 'return rate by product,' or 'revenue this month vs last.' VedaX Buddy turns the plain-English question into a query and returns a chart.
Yes. Upload each marketplace's report and VedaX can combine them into one dashboard so you see total profit, channel mix, and the same SKU across channels. See our multi-marketplace analytics guide for the full workflow.
See it in VedaX: Shopify and marketplace analytics in VedaX