ALL RESALE & CONSIGNMENT USE CASES

Pricing help from a photo

Every intake is a bet: price the jacket too low and you gave away margin; too high and it warms a shelf for ninety days. The research that would settle it — what did this actually sell for recently? — takes longer than the item is worth. The AI does it from a photo: identifies brand and model, checks real sold prices, and suggests a range with the reasoning shown.

A Day With This Running.

An illustrative walkthrough, not a customer case study. Actual behavior depends on your tools, data, review rules, and implementation.

1
A tote of intake hits the counter

You photograph the leather jacket. The AI identifies the brand, the era, and the model line before you've checked the seams.

2
Real comps, not asking prices

'Similar jackets in this condition sold for $45–$70 in the last 90 days; listings above $85 mostly didn't sell.' Sold data, not wishful listings.

3
You make the call, informed

You know your customers — maybe your crowd pays a premium for this label. The AI hands you the market; the judgment stays yours.

4
Intake keeps moving

Seconds per item instead of a rabbit hole per item. The consignor waits minutes, not a week, for their offer.

What You Could Measure.

These are hypothetical before/after examples, not measured results or performance guarantees. Establish your baseline and test realistic targets in a pilot.

Research time per item

▸Before: 5–15 minutes, or skipped and guessed

▸After: Seconds

Under-priced 'oops' items

▸Before: A few painful ones every month

▸After: Rare — the comps catch them

Margin on priced-right inventory

▸Before: Gut-feel variance

▸After: Typically 10–20% better blended margin

Illustrative potential impact: Fewer under-priced treasures and fewer shelf-warmers priced on hope. Intake decisions in seconds instead of a search-engine rabbit hole.

Simpler Than You'd Think.

Scope integrations, training, and approval before anything goes live. Here are the starting points to discuss:

  • ▸Works from a phone camera on day one — photograph, get a range.
  • ▸We tune it to your categories: clothing, furniture, tools, media — whatever you take in.
  • ▸Suggestions always show their reasoning and comps; you always set the final price.
PRIVATE & SELF-HOSTED AI
Design for the data boundaries you need

We can evaluate private, local, self-hosted, or hybrid deployment for this workflow. Before implementation, agree on data flows, access controls, retention, backups, and any external integrations. Private hosting alone does not guarantee privacy or regulatory compliance. Learn more about Private AI →

Want this running in your business?

Tell us a bit about your business and we'll come back with honest, plain-English ideas about whether this fits — and what it would take. No jargon. No pressure. No obligation.

No jargon, no obligation — just a conversation.