n8n Price Matching Workflow Demonstration by Qu pann8n Price Matching Workflow Demonstration by Qu pan

n8n Price Matching Workflow Demonstration

Qu pan

Qu pan

n8n Catalogue Matching — Approved Prices and Review Flags
A self-initiated, AI-assisted workflow demonstration using synthetic data. The cover summarizes an actual local execution on 13 September 2026; it is not a client delivery or production system.
The problem An incoming request may contain a requested price, an unknown product, an invalid quantity or incomplete information. A useful matching process should preserve every row and separate approved matches from items requiring review.
The workflow Manual trigger → synthetic JSON inputs → approved-price matching → result checks. The clean workflow JSON contains no customer data or credentials.
Observed result All 10 source rows were retained. Four rows matched approved prices; six were flagged for review. The priced subtotal was 7,600 USD cents in the synthetic example, while the complete quotation total was withheld until review. Approved zero prices were preserved and no substitutions were automatically approved. This subtotal is sample data, not earnings.
Validation Executed successfully in local n8n 2.38.7 with Node.js 24.15. All four nodes succeeded and eight embedded checks passed. Fourteen standalone Node.js tests also passed, including duplicate-price, currency-mismatch, invalid-quantity and safe-integer-overflow cases.
Deliverables and limits The reusable workflow JSON, matching logic and verification summary are available for a scoped technical discussion. This demonstration processes JSON. It does not include PDF extraction, Excel export, live webhooks, external API connections or production deployment. Production hosting and integrations require separate requirements and testing.
A suitable paid first step would agree sample inputs, an approved price source, review rules and acceptance checks for one small workflow.
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Posted Sep 13, 2026

Developed an AI-assisted workflow for price matching and review flagging using synthetic data.

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Timeline

Sep 12, 2026 - Sep 12, 2026