What you receive
- Priority queue ranked by a transparent fee-impact remeasurement score
- Per-side and weight divergence percentages with length-plus-girth for both
- Dimension, weight, and size-tier-review flags with a divergence direction
- Estimated fee-to-price ratio, optional unit margin, and gap to your target
- Monthly fee exposure and size-tier groups with flagged-SKU counts
Who it is for
Amazon FBA sellers, agencies, and catalog agents deciding which SKUs to remeasure first before a human verifies the current Fee Preview and, if warranted, requests an Amazon remeasurement.
Delivery: usually a structured result, workbook, or ZIP depending on the tool.
How it stays safe
Friday compares only the Fee Preview and measurement fields you supply: dimensions, weight, size tier, estimated referral and fulfillment fees, price, optional cost, and target margin. It reads no Seller Central account, Fee Preview report, or shipment and verifies no dimension, weight, tier, or fee. A divergence flag means your measurement and the recorded value differ beyond your tolerance and merit remeasurement—not that Amazon's Fee Preview is wrong. The remeasurement impact score is a within-batch prioritization heuristic, not an estimated fee change, refund, or recoverable amount. Friday does not publish listings, change a fee, size tier, or listing, or open a remeasurement or reimbursement case. A human must verify the current Fee Preview and remeasure before acting.
Synthetic sample
See the deliverable structure before buying
{
"total_records": 2,
"flagged_count": 1,
"within_tolerance_count": 1,
"dimension_mismatch_count": 1,
"weight_mismatch_count": 0,
"total_estimated_fees": 16.04,
"total_monthly_fee_exposure": 4878.5,
"audit_queue_preview": [
{
"priority_rank": 1,
"record_reference": "FEE-1",
"sku": "NW-BOTTLE-24",
"fee_preview_size_tier": "Large standard-size",
"max_dimension_divergence_pct": 16.7,
"weight_divergence_pct": 3.3,
"discrepancy_flags": [
"dimension_mismatch",
"size_tier_review"
],
"discrepancy_direction": "measured_exceeds_recorded",
"total_estimated_fees": 9.89,
"fee_to_price_ratio_pct": 33.0,
"monthly_fee_exposure": 3956.0,
"remeasurement_impact_score": 659.33
},
{
"priority_rank": 2,
"record_reference": "FEE-2",
"sku": "NW-MUG-12",
"fee_preview_size_tier": "Small standard-size",
"max_dimension_divergence_pct": 1.0,
"weight_divergence_pct": 1.7,
"discrepancy_flags": [],
"discrepancy_direction": "within_tolerance",
"total_estimated_fees": 6.15,
"fee_to_price_ratio_pct": 31.5,
"monthly_fee_exposure": 922.5,
"remeasurement_impact_score": 0.0
}
],
"publish_status": "draft_needs_review",
"safety": "A prioritization queue from seller-supplied Fee Preview and measurement values only\u2014not an Amazon account read, a claim the Fee Preview is wrong, an estimated fee change, a refund, or a submitted case."
}
This sample uses synthetic facts. Your output is generated only from the facts you submit.