Tag to Rack runs alongside your team at the buy counter. Staff photograph an item; the AI drafts a structured card; your people review and a manager approves. Here's the full workflow.
At the buy counter, staff open Tag to Rack on a phone or tablet and capture three photos: the front, the back, and the brand tag. The guided flow keeps every item consistent — no setup, no light box required.
The AI reads the photos and drafts a structured intake card — brand, category, size, color, material, condition, and any possible flaws it spots. Each field carries a confidence indicator so your team knows where to look closely.
The card opens in your store's review queue. Staff check it against your buying rules and pricing rubric, correct anything that needs a human eye, and confirm the flaws. Every field is editable — the AI adapts to how your shop works.
A manager reviews the recommended buy / pass / consign call and the suggested price, then approves, adjusts, or rejects. This step is required. Nothing is bought, priced, or listed until a manager signs off — and every approval is logged.
Approved items become POS-ready titles and descriptions, written in a clean, consistent voice. Export a tidy CSV that drops straight into your point of sale — and pull weekly inventory and pricing reports for the manager.
Photos in, a drafted card out. Staff spend their time reviewing, not typing fields from scratch.
Every item is described and priced the same way, by the same rubric — across shifts and across locations.
Flaw flags and confidence scores catch the things a busy counter can miss — then a human makes the call.
Watch the AI draft an intake card from photos — then approve it yourself in the interactive demo.