FitmentOS
Catalog / ACES / PIES

Catalog Ops for Auto Parts Commerce

FitmentOS gives you a catalog system that stays clean under volume: standards-compliant ACES/PIES pipelines, governed fitment edits, asset + attribute management, and channel-ready publishing—built as part of the Commerce OS.

ACES
Import • Validate • Publish
PIES
Attributes • Assets
Fitment
Apps • Qualifiers • Notes
Channels
Sync • Govern • Audit
How it works
Deterministic pipelines from ingestion to publish.
Ingest (files, sheets, partner feeds)
Normalize (mapping, dedupe, controlled transforms)
Validate (standards rules + publish blockers)
Publish (ACES/PIES exports + channel packages)
Monitor (coverage, holes, audit history)
Built for teams: reviewable changes, a clear publish state, and governance that prevents silent data drift.
Modules

Catalog, fitment, and distribution—operational by design

A practical feature map organized by how catalog teams actually work: pipelines, fitment editing, governance, assets, and distribution.

ACES/PIES Pipelines
Governed workflows, audit history, and deterministic outputs.
  • Repeatable imports for ACES/PIES and custom sheets
  • Validation with clear publish blockers and error reports
  • Standards-compliant exports for partners and downstream systems
  • Run history + audit trail for teams and compliance
Fitment Data Management
Governed workflows, audit history, and deterministic outputs.
  • Applications, qualifiers, notes, and fitment logic at scale
  • Bulk edits with controlled change history
  • Central truth across brands, SKUs, kits, and channels
  • Governed workflows to prevent silent data drift
Catalog Distribution & Sync
Governed workflows, audit history, and deterministic outputs.
  • Publish packages optimized per destination (partners, marketplaces, D2C)
  • Mapping controls to keep channel outputs consistent
  • Incremental updates to reduce full rebuilds
  • Operational guardrails: drafts, approvals, and release controls
Digital Assets & Attributes
Governed workflows, audit history, and deterministic outputs.
  • Centralize images, docs, and media with versioning
  • Tie assets/attributes to parts and brands with completeness checks
  • Govern what is eligible for publish per channel
  • Reduce listing defects with enforced required fields
Quality, Coverage & Holes
Governed workflows, audit history, and deterministic outputs.
  • Coverage reports to spot gaps by vehicle / part type
  • Holes detection for missing applications and conflicts
  • Error dashboards for standards and fitment validation
  • Actionable exports for data teams to fix fast
Kits & Bundles
Governed workflows, audit history, and deterministic outputs.
  • Define kit components with compatibility rules
  • Keep kit fitment aligned to component changes
  • Bundle governance to reduce returns and mismatched components
  • Support catalog expansion without manual chaos
Fitment Lookup (VIN / YMM)
Governed workflows, audit history, and deterministic outputs.
  • VIN decode + vehicle identification workflows
  • Year/Make/Model lookup with precision matching
  • Designed to reduce wrong orders and returns
  • Embed-ready fitment experiences for storefronts
Marketplace & eCommerce Connectors
Governed workflows, audit history, and deterministic outputs.
  • Publish compatibility and catalog data where customers buy
  • Governed mappings per channel to avoid feed drift
  • Bulk update flows for ongoing maintenance
  • Sync strategies that prioritize stability and auditability
Connect catalog truth to order execution

FitmentOS is built as an operating system: catalog data can flow into order validation, automation, warehouse, and shipping—so teams stop stitching tools together.

FAQs
Yes—exports are standards-compliant and designed around publish readiness.
Yes—mappings, completeness checks, and release controls help prevent feed drift.
Yes—VIN decode and YMM lookup workflows are supported for storefront experiences.
Validation rules, coverage/holes reports, and a full audit trail keep changes visible and reversible.
Ready to modernize catalog operations?
Ingest → normalize → validate → publish. Clean data, fewer defects, faster release cycles.