| Product | Category | Orders | Units | Gross | Returns | Net | Fees | Return% |
|---|
| Platform | Orders | Units | Gross | Returns | Net |
|---|
| Date | Platform | Product | Qty | Gross | Fees | Net | Status |
|---|
| Source | Orders | Gross | Returns | Fees | Net |
|---|
| Generated | Status | Published | Consolidated Net | Rejected | Quarantined | Difference |
|---|
Invalid records are isolated here with their validation errors. They are excluded from revenue.
| Source | External ID | Errors | Quarantined At |
|---|
| Time | Action | Details |
|---|
| ID | Source | Period | Ingested | Status | Records | Valid | Invalid | Error |
|---|
Live streaming, predictive forecasting, advanced attribution, fully automated marketplace integration (pending access methods and business requirements).
Paste a source export as JSON: { "source": "amazon|flipkart|meesho|website|all", "period_start": "YYYY-MM-DD", "period_end": "YYYY-MM-DD", "records": [ {platform, external_id, ...platform fields} ] }. Records are validated, quarantined if invalid, standardized and reconciled.
Upload a platform export. The file is parsed in your browser; you map columns to the ingest schema, then it is sent to the pipeline. Supported: .csv, .xlsx, .xls.
| Date | Platform | Settlement ID | Order Ref | Gross | Fees | Refunds | Adjustments | Payout | Status |
|---|
| Source | Last Ingestion | Status |
|---|
Marketplace visibility depends on source delivery frequency. If a source has not delivered data recently, revenue for that source is delayed. Live reporting is only possible when the source can deliver at the required frequency.
Source SKUs are never auto-merged by name similarity. Each mapping must be explicitly approved.
| Source | Source SKU | Canonical Product | Status |
|---|
Resets and seeds the cloud database with 30 days of synthetic orders across Amazon, Flipkart, Meesho and the own website (including a few invalid records to demonstrate quarantine), then runs the full pipeline.