How it works
From spreadsheet to shortlist in nine steps.
Every job runs the same deterministic pipeline. You see the same metrics, in the same order, every time — so you can compare runs across suppliers and across time.
01 · UPLOAD
Drop a supplier file.
CSV, XLSX, XLS, TAB — or the distributor's PDF as-is, up to 300 pages. Up to 200MB per upload, with column-preview before processing starts.
02 · DETECT
Identify the columns.
Heuristics + ML map your file's headers to canonical fields. Review and adjust mapping before the job runs.
03 · RESOLVE
Normalize identifiers.
UPC / EAN / ISBN check digits validated, ASINs cleaned, pack quantities parsed from titles.
04 · MATCH
Find ASINs.
Multi-identifier lookup against Amazon catalog data. Low-confidence matches flagged for human review.
05 · PRICING
Pull real Amazon market data.
Buy Box, FBA/FBM offers, seller count, plus real monthly sold, out-of-stock % and rank drops per matched ASIN.
06 · COSTS
Apply your cost profile.
Referral, FBA, FBM, prep, shipping and return reserve — calculated row by row on real SP-API fees.
07 · SCORE
Bucket the opportunities.
Risk, Velocity, Competition and Confidence sort each row into clear buckets and a best-case scenario, with an AI Explain reason per pick on Pro.
08 · FILTER
Apply your rules.
ROI thresholds, gated brand lists, Amazon-as-seller exclusions, restricted category rules.
09 · EXPORT
Hand off a shortlist.
Export to CSV or Excel with highlights, then validate the winners in your single-product tool.
Stop drowning in rows.
Get early access. We're onboarding a small group of wholesale and OA sellers during the closed beta.
POST /v1/jobs
attach: supplier_export.xlsx
profile: fba-wholesale-us
→ job_01HXY…QM started
→ streaming results
→ 250 opportunities