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Quality Guard

Product Quality Scoring That Prevents Bad Listings

Automatic 0-100% quality scores for every product. Field-level validation shows exactly what’s missing. Stop incomplete products from going live and damaging your conversion rates.

Common Data Quality Challenges We Solve

Poor product data costs businesses up to 25% of revenue through returns, lost sales, and customer complaints. See how Apimio transforms your data quality.

Without Apimio

Incomplete Product Listings

Products go live missing critical information like sizes, materials, or specifications. Customers bounce and conversions drop.

No Visibility Into Data Gaps

With thousands of products, you have no way to know which ones need attention or what specific fields are missing.

Inconsistent Data Formats

Different team members enter data differently. Sizes, colors, and measurements lack standardization across your catalog.

Validation Happens Too Late

You only discover data problems after products are live and customers complain or return items.

Multi-Language Data Gaps

International product versions have incomplete translations. Some markets have worse data quality than others.

With Apimio

Automatic Quality Scoring

Every product gets a 0-100% quality score based on completeness, validation rules, and required attributes. Instantly see what needs work.

Field-Level Breakdown

Don’t just get a number - see exactly which fields are incomplete or invalid for each product. Actionable insights, not guesswork.

Custom Validation Rules

13+ attribute types with validation: required fields, min/max values, regex patterns, URL format, date validation, and more.

Prevent Bad Listings

Block products from publishing until they meet your quality threshold. Never let incomplete data reach customers.

Version-Specific Scoring

Each language version gets its own quality score. Know exactly which markets have incomplete data.

The Business Impact of Quality Product Data

High-quality product information directly affects revenue, SEO performance, and customer trust.

Reduce Returns by 25%+

Accurate product descriptions prevent customer disappointment. When customers know exactly what they’re buying, return rates plummet.

Increase Conversion Rates

Complete product information answers customer questions before they ask. Rich attributes, clear specifications, and quality images drive purchases.

Improve SEO Rankings

Search engines reward complete, accurate product data. Better titles, descriptions, and attributes mean higher organic visibility.

Meet Channel Requirements

Amazon, Google Shopping, and marketplaces have strict data requirements. Quality Guard ensures you meet them before submission errors.

Executive Visibility

Organization-wide dashboards show catalog health at a glance. Score distribution graphs reveal trends and identify problem areas.

Automatic Score Updates

Quality scores recalculate automatically when product data changes. Always-current metrics without manual audits.

Quality Guard Features

Enterprise-grade data quality tools that competitors charge extra for

Product Completeness Scoring

Automatic 0-100% quality score based on filled fields, validation rules, and required attributes. Products categorized as Good (90+), Fair (50-89), or Poor (<50).

Field-Level Scoring Breakdown

See exactly which fields are incomplete or invalid for each product. Click through to fix specific issues instead of hunting through forms.

13+ Validation Rule Types

Required fields, min/max values, regex patterns, URL validation, integer/date formats, text length limits, and custom rules to match your standards.

Image Quality Scoring

Validate image dimensions, quality, and completeness. Catch images that don’t meet Amazon/Shopify requirements before they cause listing errors.

Quality Dashboard Widgets

Organization-wide product health visualization. Score distribution graphs, trend tracking, and drill-down into problem categories.

Attribute Families (Sets)

Group attributes into reusable sets for different product types. Furniture needs different fields than clothing - enforce the right rules automatically.

Multi-Language Scoring

Each language version gets its own completeness score. Identify which markets have translation gaps or incomplete localized content.

Event-Driven Score Updates

Quality scores automatically recalculate when any product data changes. No manual refresh needed - always-current quality metrics.

How It Works

Simple steps to get started

1

Analyze

Apimio scans your catalog and identifies data quality issues.

2

Prioritize

See which issues have the biggest impact on sales.

3

Fix

Use bulk tools and AI to resolve issues quickly.

Use Cases

See how different teams leverage this feature

New Product Imports

Validate and enrich supplier data before it goes live.

Shopify Compliance

Ensure products meet Shopify, and retailer requirements.

Catalog Cleanup

Systematically improve data quality across legacy products.

Merger Integration

Standardize product data when combining catalogs.

Proven Results

Real impact from real customers

0%
Increase in conversion rate
0%
Reduction in returns
0%
Data completeness achieved
0%
Less time on data cleanup

What Our Customers Say

Join thousands of satisfied product teams

Apimio has transformed how we manage product data. What used to take days now takes minutes.

S

Sarah Johnson

E-commerce Director, Global Retail Inc.

The ROI was immediate. We reduced errors by 90% and cut time-to-market in half.

M

Michael Chen

Product Manager, Tech Solutions Ltd.

Frequently Asked Questions

Everything you need to know

Apimio identifies missing attributes, invalid values, inconsistent formats, poor image quality, and incomplete localized content. It highlights issues at both the product and field levels so nothing slips through unnoticed.

Yes. Apimio lets you define custom rules such as required fields, value ranges, regex patterns, image requirements, and more to match your exact product standards.

Our AI analyzes your existing product descriptions and images to detect missing or incomplete attributes. It then suggests accurate data that your team can review, edit, and approve before publishing.

Yes. Dashboards show score distribution, trends, and progress across your catalog, helping teams measure improvements and prioritize fixes.

Absolutely. Scores recalculate automatically whenever product data changes, so your quality metrics are always current without manual audits.

Integrations Section - To be implemented

Data Quality Management Resources

Ready to Get Started?

Join thousands of brands using Apimio to manage product data better.