We provide automotive catalog data development built to meet the official standards defined by the Auto Care Association. Our services focus on creating, structuring, and validating ACES and PIES data using the required industry databases and controlled vocabularies that drive accurate fitment, product classification, and interoperability across the aftermarket.

Our work ensures your catalog data is technically correct, standardized, and fully compatible with trading partners, resellers, marketplaces, and internal systems.

Built on Auto Care Data Standards

Modern aftermarket cataloging depends on strict adherence to Auto Care–maintained databases and schemas. We develop catalog data that aligns directly with:

• VCdb – Vehicle configuration and fitment logic
• PAdb – Product attributes and attribute values
• PCdb – Standardized part classification and hierarchy
• Qdb – Quantity, measurements, and dimensional qualifiers
• Brand standards – Manufacturer and private-label brand normalization

Each dataset is applied correctly and consistently to ensure your products are discoverable, interchangeable, and accurately represented across all channels.

VCdb Vehicle Fitment Coding

We build and validate vehicle fitment data using VCdb structures to ensure accurate application coverage.

Our VCdb services include:

• Proper vehicle selection and configuration logic
• Engine, drivetrain, body, and submodel accuracy
• Position, notes, and qualifiers applied correctly
• Elimination of over- or under-application

Correct VCdb coding reduces misapplications, warranty issues, and product returns.

PCdb Part Type Classification

We assign and validate PCdb part types to ensure each product is classified using approved Auto Care terminology and hierarchy.

This includes:

• Accurate part type selection
• Logical grouping of related components
• Elimination of non-standard or legacy classifications
• Alignment between part type, attributes, and descriptions

PCdb compliance ensures your products are searchable, comparable, and compatible across aftermarket platforms.

PAdb Attribute Development & Normalization

Attributes define how products are filtered, compared, and understood. We develop PAdb-compliant attributes that accurately describe each part.

Our process includes:

• Selecting required and applicable attributes
• Standardizing attribute values and units
• Applying controlled vocabulary and formatting rules
• Supporting faceted search and compatibility filters

Well-structured PAdb data improves buyer confidence and downstream data usability.

Qdb Quantities, Dimensions & Qualifiers

We apply Qdb coding to ensure quantities, dimensions, and packaging details are represented clearly and consistently.

This includes:

• Quantity per application and per package
• Dimensional qualifiers and measurements
• Installation-relevant quantities
• Elimination of ambiguous or conflicting quantity data

Accurate Qdb usage reduces confusion for installers and end users alike.

Brand & Manufacturer Standards

We normalize Brand data according to Auto Care requirements, ensuring consistent brand representation across catalogs and channels.

This includes:

• Correct brand assignment and naming
• Private-label and multi-brand structures
• Alignment with product descriptions and packaging
• Consistency across ACES and PIES datasets

Clean brand data protects brand identity and prevents catalog fragmentation.

Kitting & Component Relationships

For kits, assemblies, and service packages, we create Auto Care–compliant kitting logic that clearly defines component relationships.

This includes:

• Parent/child SKU relationships
• Kit contents and quantities
• Replacement vs service kit logic
• Accurate representation in both ACES and PIES

Proper kitting structure improves catalog clarity and ordering accuracy.

Defined Descriptions Using Controlled Terminology

We develop standardized product descriptions that align with Auto Care–approved terminology while remaining readable for eCommerce and catalogs.

Descriptions are:

• Consistent with PCdb part types and PAdb attributes
• Free of conflicting or non-standard language
• Structured for reuse across platforms
• Technically accurate without marketing exaggeration

This ensures descriptions support both data integrity and sales performance.

Interchange & Cross-Reference Accuracy

We build and validate interchange relationships to support OEM references, competitive replacements, and legacy part numbers.

Our approach emphasizes:

• Controlled and verified interchanges
• Supersession and discontinuation logic
• Reduction of false equivalencies
• Protection of brand and application integrity

Accurate interchanges increase visibility without compromising trust.

Validation, Compliance & Quality Control

Before release, all data undergoes structured review to ensure:

• Auto Care database compliance
• Logical consistency across product lines
• Alignment between ACES, PIES, and Brand data
• Reduced risk of partner rejections or corrections

This proactive validation minimizes downstream maintenance and costly errors.

Designed for Manufacturers & Distributors

We understand the realities of the automotive aftermarket: large catalogs, frequent updates, multiple data consumers, and strict standards.

Our Auto Care–compliant catalog development services ensure your data is:

• Structured correctly from the start
• Easy to distribute and maintain
• Trusted by resellers and platforms
• Scalable as your product offering grows

If your catalog data must meet Auto Care standards—and stay compliant over time—we build it with precision and purpose.