Product intelligence workspace

Know the real cost before you buy — and the real margin before you resell.

MarginMap normalizes messy listings into canonical products, computes landed cost, and scores each offer against completed-sale comps. Buyer mode optimizes the purchase. Reseller mode optimizes the exit.

Priced on
Landed cost

item + shipping + tax, per offer

Valued on
Sold comps

recency-weighted median, IQR trimmed

Every figure
Auditable

source, timestamp, match confidence

Guessed values
None

missing data is labelled missing

How it works

01

Describe what you want

Plain language in, parsed intent out: category, price ceiling, condition floor, brand constraints. The parse is shown, so you can correct it.

02

See landed cost against sold comps

Offers resolve to one canonical variant, total to item plus shipping plus tax, and rank against a recency-weighted median of completed sales.

03

Decide, then track

Buyers get a value score with its factor breakdown. Resellers get net proceeds, ROI, breakeven and a seven-stage pipeline.

Buyer mode

Optimize the purchase

  • Landed cost ranking instead of sticker-price ranking.
  • Value score against completed sales, with the factor weights exposed.
  • Seller trust, fulfillment speed and return terms as explicit lines.
  • Condition normalized onto one ladder across every source.

Reseller mode

Optimize the exit

  • Net proceeds after commission, processing, shipping and promotion.
  • ROI on total capital deployed, annualized by observed days-to-sell.
  • Breakeven purchase price as a negotiating position.
  • Seven-stage pipeline from watch to sold, with realized-vs-estimate feedback.

The eight things it gets right

Each of these is a design decision with a price consequence. Read the reasoning before you trust the output.

Questions people ask first

Run one product through it

Open the workspace, search in plain language, and open the evidence drawer on the first number you doubt.