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Reporting ​

Real profit per serial — not a spreadsheet estimate. Dashboards that pull from settlement-reconciled actuals, not modeled fees and guessed shipping costs.

The spreadsheet problem ​

Ask ten resellers what their net margin is on their top SKU and you'll get ten confident answers — and zero of them will be right. The number on the inventory tool subtracts the cost from the sale price and calls that "profit". It doesn't know about referral fees that fluctuate with category. It doesn't know about FBA storage fees that posted three weeks after the sale. It doesn't know about return shipping deductions, restocking fees, chargebacks, or the periodic "marketplace reserves" debit that nobody can ever explain. It estimates. Estimates compound. By the time the bank deposit hits, the gap between estimated profit and actual profit is meaningful — sometimes 4 points, sometimes 12.

The only number that's actually true is the settlement deposit. Everything else is a model. Most reporting tools never reconcile against the settlement, because pulling settlement data per marketplace is a slog, and once you have it, mapping every line item back to an order is its own nightmare. So the tool just trusts its model and the operator just trusts the tool and the year-end P&L tells everyone how wrong they all were.

What Rilk does ​

Reporting is built on settlement-reconciled actuals. When a settlement posts, every fee line — referral, FBA, storage, return shipping, chargeback, reserve — is matched to the order, the unit, and the SKU it came from. The per-unit P&L is the settled P&L. There are no model assumptions to be wrong about.

  • Per-unit profit reconciled against settlement deposits — when the bank deposit hits, the per-unit P&L is already correct.
  • Inventory value dashboards — what you have on hand, valued at landed cost, broken down by location, channel, and condition grade.
  • Sales velocity by SKU and by channel — running 7-day, 30-day, and 90-day sell-through rates.
  • Return rate by SKU — including the full cost of returns, not just the count.
  • Marketplace performance — sell-through, margin, return rate, and growth by channel.
  • Vendor performance — on-time delivery, cost variance, return rate by source.
  • CSV export everywhere — every report and every dashboard can drop to CSV for your accountant or your BI tool.
  • Refurbisher and importer segments — refurbished units have their own margin breakdown, imports have landed-cost rollups.

How it changes your day ​

Before: Monday morning. You'd pull last week's sales report from Amazon, last week's from Walmart, last week's from eBay, last week's from Shopify. Four CSVs. You'd open them in tabs in the same browser window because each one needed a different password. You'd paste the totals into a master spreadsheet and look at the "estimated profit" column with one eyebrow raised, because you knew the real number wouldn't be available until the settlement deposits posted on Friday. You made decisions on the estimate. Sometimes you were close. Sometimes you weren't.

After: Monday morning. You open Rilk. Last week's per-unit profit is on the dashboard, by channel, by SKU, by category — reconciled against the settlement deposits that already posted. The estimate-vs-actual gap is zero, because there is no estimate. You make decisions on real numbers.

Before: Your top vendor was great — until they weren't. Their lead times started slipping. Their unit costs started creeping up. The defect rate on their shipments edged from 1% to 3%. None of this showed up in your reporting because nothing was measuring it. By the time you noticed, you had three months of slow shipments and a margin that had dropped two points.

After: Vendor performance is a dashboard. On-time delivery, cost variance, defect rate, return rate by source — all rolling 90-day trends. The drift gets caught the week it starts, not the quarter it has finished.

Before: Your CPA asked for a year-end inventory valuation broken out by location, channel, and condition. You set aside three days, opened the inventory spreadsheet, did the manual cross-references, and produced a number that was probably right within 5%.

After: Inventory value, by location, by channel, by condition, by date — every report in the box. Export to CSV. Send to CPA. Done before lunch.

What's included ​

  • Per-unit profit and loss, settlement-reconciled
  • Inventory value dashboards by location, channel, condition
  • Sales velocity by SKU, by channel, by category
  • Return rate by SKU, by channel, by reason
  • Marketplace performance dashboards
  • Vendor performance dashboards (on-time, cost variance, defect rate)
  • Refurbishment segment reporting (margin by model, re-return rate)
  • Importer/landed-cost rollups
  • CSV export on every report
  • Custom date ranges, comparison periods, and filter combinations

Works with ​

Get started ​

Built for resellers and refurbishers.

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