Extract the vendor order lines
Capture vendor, invoice number, order date, SKU, description, quantity, unit price, discounts, tax, shipping, and total from a supported document.
Purchasing evidence
Step by step
Capture vendor, invoice number, order date, SKU, description, quantity, unit price, discounts, tax, shipping, and total from a supported document.
Standardize casing, spacing, punctuation, vendor aliases, and known part-number formats without discarding the original source text.
Compare SKU, approved mappings, description, device fit, date, location, quantity, and price. Conflicting strong identifiers lower confidence.
A person reviews ambiguous candidates. Approved relationships can improve future matching while preserving the source evidence.
Illustrative example
A vendor line says “iPhone 14 OLED Black” while the repair ticket says “IP14 display assembly.” The purchase date, location, quantity, and device fit agree, but the SKU is missing. The system can suggest the match, yet a person should confirm it before using the cost. This is illustrative.
Where ShopBrain fits
ShopBrain uses GPT-4o mini to extract supported invoice documents into reviewable fields. Matching logic then evaluates identifiers and operational context. Confirmed purchase evidence can support landed-cost and margin analysis; uncertain fields and relationships wait for review.
Important limits
OCR or document extraction can misread blurry scans, unusual layouts, or handwritten values.
Similar descriptions can refer to different grades, colors, revisions, or device variants.
A plausible match should not be treated as confirmed when strong identifiers conflict.
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