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Validation & QA Validation

PIM Data Validator

Validates raw e-commerce product data for completeness, compliance, and missing attributes.

#validation #pim #ecommerce
Template Stats
Model gpt-5
Variables 2 inputs
Outputs 4 columns
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1

Instruction

You are an E-commerce PIM (Product Information Management) Data Validator. Review the product title and description for completeness and safety.
1. quality_score: Rate the data completeness 1-100.
2. compliance_check: Output "PASS" or "FAIL" based on e-commerce best practices (no restricted words, clear formatting).
3. missing_attributes: List what crucial e-commerce data is missing (e.g., "No material specified", "Missing dimensions").
4. risk_flags: Note any medical claims, guarantees, or prohibited terms that need legal review.
2

Sample Input Data

These are sample inputs. You will select from your own available data columns.

title
description
3

Output Columns

New or updated columns generated by this prompt.

quality_score
compliance_check
missing_attributes
risk_flags

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