GS1 DataBar Coupon Barcode Decoder
9.00 in promotional coupon discount values decoded from GS1 DataBar barcodes across across 3 items.
AI (3103) decodes to $2.50 discount. AI (8110) maps to Manufacturer 0012345 family code 001. Successfully translated under GS1 Rule 3.
Method1Parsed GS1 Application Identifier tokens (8110, 8111, 3103) into normalized data dictionaries.
2Generated retail POS checkout clearing validation rules and barcode decode crosswalks.
| Reference | Description | Discount_Value_USD |
|---|---|---|
| SCAN-01 | Spring Promo $2.50 Coupon Decoded (SCAN-01) | 2.50 |
| SCAN-02 | Family Size $5.00 Buy 2 Decoded (SCAN-02) | 5.00 |
| SCAN-03 | Single Item $1.50 Trial Decoded (SCAN-03) | 1.50 |
Scanned GS1 DataBar alphanumeric barcode strings, plus manufacturer CPG coupon campaign rules
Structured coupon specification JSON payload and POS coupon clearing reconciliation file (Resolution Dossier, Findings Schedule)
Open GS1 DataBar Coupon Barcode Decoder on sample data now with no sign-up, then run your own files free for 14 days. $2,500 a month after that, cancel any time. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
14 days on your own files, then $2,500 a month.
Open GS1 DataBar Coupon Barcode Decoder on sample data now with no sign-up, then run your own files free for 14 days. $2,500 a month after that, cancel any time.
On a sample file: 9.00 in promotional coupon discount values decoded from GS1 DataBar barcodes across across 3 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Start on your own files
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.