Store overview
Revenue, orders, AOV and customers for the window your export covers, with a 30-day daily strip under each.
Sample: $5.20M over 24,623 orders
Revenue trend
The same 30 days with axes and a tooltip — revenue as an area, contribution as a line when your export carries cost columns.
Leak trend
How your discount leak moved since the last upload. The same figure, computed the same way, both months.
Profit by SKU
Revenue minus COGS, fees and ad cost per SKU, ranked so the products draining cash surface first.
Margins & P&L
The profit waterfall: revenue in, each deduction out, what survives. Gross and contribution margin side by side.
Sample: 53.8% gross, 49.8% contribution
Cost to serve
What you actually paid to fulfil, per order — split by SKU and by destination.
Sample: $8.47 per order, 4.0% of revenue
Alerts
Thresholds you set on any computed metric, checked on every new export.
Peer benchmarks
Your metrics against p25/p50/p75 of stores that opted into the pool. Hides itself rather than guess when nothing overlaps.
Proof & SQL
The query behind the headline figure, editable, run against your own rows in your browser.
Store audit
Structural checks over the same export. Renders nothing when the store is healthy — silence is the result.
Discount leak
Every code, ranked by dollars given away, with the share that went to customers who were already converting.
Sample: $436,203 given away, $45.9K/mo of it leak
Stock & reorder
Days of cover and reorder points from your own sell-through, so a stockout is a date rather than a surprise.
Operator brief
The week in one page: what moved, what you approved, what it did.
The ledger
Every recommendation with its projection, your decision, and the measured outcome — six stages, permanent.
Autopilot queue
Deterministic playbooks propose the next move with the arithmetic attached. Nothing executes without your approval.