What you receive
- Projected aged-inventory surcharge exposure per unit and per SKU over your horizon
- Per-unit net profit or loss for hold, discount, remove, and liquidate
- The least-loss disposition named for each SKU for human review
- Break-even hold price and break-even discount percentage per SKU
- A priority queue ranked by the largest upcoming surcharge exposure
Who it is for
Amazon FBA sellers, agencies, and agents triaging a seller-supplied Manage Inventory Health export before a human places a removal, markdown, or liquidation.
Delivery: usually a structured result, workbook, or ZIP depending on the tool.
How it stays safe
Friday performs arithmetic only on the unit counts, costs, prices, fees, surcharges, recovery, resale, and discount figures you supply. It reads no Amazon account, fee schedule, Manage Inventory Health report, order, or customer data. The recommended disposition is the least-loss option on your numbers for human review—not a guarantee that a unit will sell, that a discount will move it, or that any outcome is achievable. Friday places no removal or liquidation order, changes no price, and does not publish listings or change a seller account.
Synthetic sample
See the deliverable structure before buying
{
"total_units": 290,
"total_surcharge_exposure": 4000.0,
"hold_count": 1,
"discount_count": 1,
"remove_count": 0,
"liquidate_count": 1,
"plan_preview": [
{
"priority_rank": 1,
"sku": "NW-BOTTLE-24OZ",
"units": 200,
"surcharge_exposure_per_unit": 19.0,
"surcharge_exposure_total": 3800.0,
"net_hold_per_unit": -12.75,
"net_discount_per_unit": 5.0,
"net_remove_per_unit": -10.0,
"net_liquidate_per_unit": -2.0,
"recommended_action": "discount",
"break_even_hold_price": 40.0,
"break_even_discount_percent": 43.5
}
],
"publish_status": "draft_needs_review",
"safety": "Arithmetic on seller-supplied costs, prices, fees, surcharges, and recovery values only. The recommended disposition is the least-loss option for human review; no removal, price, listing, or seller account is changed."
}
This sample uses synthetic facts. Your output is generated only from the facts you submit.