Good fit
Purchase orders and quotes with recognizable tables, SKUs, quantities, units, unit prices, currency, delivery dates, and totals.
Offer B · Purchase orders & quotes
Compare orders and quotes in one clean sheet.
Turn mixed supplier documents into consistent rows for quantities, units, prices, dates, and totals—ready for a human decision.
采购订单与报价单 → 可比较的 Excel。统一物料、数量、单价、交期与总额字段，保留需人工判断的差异。
- Supplier and document summary
- Line-item comparison table
- Unit and currency fields preserved
- Mismatch and missing-field notes
What the starter order covers
Structure the evidence; keep the buying decision human.
Confirm first
Documents with changing units, handwritten amendments, unclear currency, or product matching that requires domain judgment.
Output
.xlsx workbook with a document summary, line-item rows, normalized column names, and exceptions.
Boundaries
No supplier recommendation, procurement authorization, or financial approval is implied.
DEMO / SYNTHETIC
Illustrative comparison-ready rows.
Invented values show the intended output shape. They are not a customer result or proof of extraction accuracy.
documentsupplieritemunit pricereview
Q-204Atlas TradeBX-18$4.20clear
Q-209River SupplyBX-18$4.05unit differs
PO-511Atlas TradeBX-18$4.20clear
Inspect the actual line-item schema, formula-driven totals, review flags, and QA notes. Every value is invented.
Experiment pricing
Three low-friction validation sizes.
Micro
One document pair
One small PO/quote comparison using agreed columns.
$10 / ¥29
Small
Small supplier set
A few documents with a consistent format and review notes.
$20 / ¥49
Batch
Mixed small batch
Multiple supplier documents within a defined item and format limit.
$30 / ¥99
These are validation prices, not permanent rates. Exact scope and price are confirmed before payment.
Free compatibility check
Test one safe document structure first.
Prepare the field names you compare today and the approximate monthly document count. Do not attach a real document.
Use the public structure-only compatibility form. Do not include customer, payment, identity, or proprietary data.
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