Category A · Product Listings & Catalog Data
Your catalog, always complete and correct.
We build and maintain every SKU — new launches, discontinued products, data mismatches, and size-specific images — so your store always reflects reality.
What happens when catalog data goes wrong
Marketplace suppression from bad data
Amazon, Walmart, and eBay will suppress or penalize listings with mismatched specs, wrong fitment data, or missing required fields — removing your products from search.
Returns and negative reviews from wrong-fit orders
A single fitment error means a customer receives tires or wheels that don't fit their vehicle. The return ships at your cost. The review stays forever.
Manufacturer launches that nobody captures
Tire and wheel brands release new products constantly. If your catalog team isn't watching, those SKUs sit unlisted while competitors get the first-mover sales.
Ghost SKUs clogging your catalog
Discontinued products that stay live confuse customers, trigger 'item unavailable' errors, and waste your listing budget. Manual cleanup never keeps pace.
What's included
Every part of your product catalog, covered.
New Product Listings
We build listings from scratch — correctly structured, fully attributed, and optimized for the marketplaces and platforms you sell on.
- —Title, description, and attribute mapping
- —Fitment data (year/make/model/trim)
- —Spec fields: size, load index, speed rating, UTQG
- —Category and taxonomy mapping per marketplace
Manufacturer Launch Tracking
We monitor tire and wheel brand release calendars and data feeds so new products are listed the moment they become available — not weeks later.
- —New SKU detection from manufacturer feeds
- —Rapid listing build for newly released products
- —Cross-channel launch coordination
Discontinued Product Management
We flag, hide, or delist products that manufacturers have discontinued — keeping your catalog clean and preventing frustrated customers from hitting dead ends.
- —Discontinued flag detection from feeds
- —Listing suppression or removal workflows
- —Replacement SKU mapping where applicable
Data Mismatch Correction
Wrong dimensions, mismatched part numbers, incorrect load ratings — we audit your catalog systematically and correct errors before they cost you sales or penalties.
- —Cross-source data validation (manufacturer vs. listing)
- —Fitment accuracy checks
- —Attribute consistency enforcement
Product Images (Size-Specific)
Tire and wheel images need to match the exact size variant. We source, organize, and apply the correct images for every SKU — no mismatched visuals.
- —Size-specific image sourcing and mapping
- —Marketplace image spec compliance
- —Bulk image upload and assignment
Our process
How we clean and maintain your catalog
Catalog Audit
We pull your full catalog and run a structured audit — finding errors, gaps, suppressed listings, and missing data fields.
Data Mapping
We map your data against manufacturer sources, ACES/PIES standards, and marketplace requirements to build a correction plan.
Build & Correct
We execute the corrections and build any missing listings — working through your catalog systematically until it's clean.
Ongoing Monitoring
We stay on, watching manufacturer feeds for launches and discontinuations so your catalog never drifts again.
Industry knowledge
Tire catalog data is not like other product data.
A 235/55R17 isn't just a product name — it's a structured spec that determines fitment, load capacity, speed safety, and marketplace eligibility. Getting it wrong has real consequences. We understand ACES fitment data, PIES product attributes, load index tables, and speed rating standards. That knowledge is why our corrections stick.
The Auto Care Association's data standards for fitment (ACES) and product specs (PIES) — we structure your data to these specs for maximum marketplace compatibility.
Width / aspect ratio / rim diameter / load index / speed rating — every field matters. We don't guess; we validate against manufacturer source data.
Year / make / model / trim fitment is the most critical data for tire and wheel listings. Wrong fitment = wrong orders. We verify against industry fitment databases.
Amazon, eBay Motors, Walmart, and Google Shopping each have specific requirements for auto parts. We know which fields are required, restricted, and penalized.
Real results
For one regional tire retailer, we audited 8,000+ SKUs and systematically corrected data that had been drifting for years — cutting data-related listing errors and wrong-fit returns by 94% in the first three months.
See full case studiesCommon questions
Ready to clean up your catalog?
Book a free audit and we'll review your current catalog, identify the errors, and tell you exactly what it's costing you.