Proof in the Catalog — Real Automotive eCommerce Work

A selection of automotive marketplace, catalog, fitment, inventory and store-management work across Amazon, eBay Motors, Walmart and direct-to-consumer websites. Each case shows the problem, the work completed and the outcome — without hiding the actual catalog tasks behind vague claims.

WHAT EACH CASE SHOWS

Problem → What We Did → Outcome

Each case explains the business challenge, platforms involved, work completed and the operational or measurable result.

  • Client type — seller, brand, manufacturer or eCommerce business
  • Platforms and systems involved
  • Exact catalog and marketplace work completed
  • Before / after improvement or measurable outcome
10+ YearseCommerce experience
30+Automotive Brands Supported
100K+Product Listings Managed
1M+Inventory units managed

CASE STUDIES / PORTFOLIO

Work That Made Catalogs Cleaner and Selling Simpler

Jump to a platform section below. Each card shows the platforms, services used and the full problem → result story — storefront cards also link to the live store.

PLATFORMS

Amazon Case Studies

Catalog management, product data, and marketplace growth for Amazon automotive brands and sellers.

2 CASE STUDIESAcross cataloging, fitment, listing optimization and store management.
CASE 01

Fixed Amazon Fitment. Increased Sales by 47%.

Client: A-PremiumMarketplace: Amazon

Problem: A-Premium had active automotive listings on Amazon, but many products were missing the Amazon Confirmed Fit feature. Fitment data issues and listing errors were making it harder for customers to confirm vehicle compatibility and confidently purchase the right parts.

What we did: We reviewed the affected listings, corrected listing errors, and added accurate vehicle fitment data to improve compatibility coverage and enable Amazon Confirmed Fit across eligible products.

Result: With cleaner listings and improved fitment coverage, customers could more easily find and verify the right parts for their vehicles. Sales increased by 47% in the first month.

CASE 02

From Supplier Sourcing to a Profitable Amazon Store

Marketplace: Amazon

Problem: The client wanted to build an Amazon business but needed the complete operation — from finding reliable automotive suppliers and selecting products to creating listings, generating traffic and managing sales.

What we did: We connected the client with multiple suppliers and listed their products directly on the client’s Amazon account. We built new listings from scratch with optimized titles, professional product images, SEO-focused content, backend search terms and conversion-friendly bullet points. Once the catalog was live, we also launched and managed PPC campaigns to drive targeted traffic and sales.

Result: We turned supplier products into a fully managed Amazon catalog with optimized listings and paid advertising working together. After product costs, marketplace expenses and advertising, the client achieved approximately a 35% profit margin on sales.

CASE 03

Recovered Suppressed Automotive Listings and Lost Sales

Marketplace: Amazon

Problem: Multiple high-selling automotive SKUs became suppressed or inactive because of missing attributes, incorrect product data, image compliance issues and Amazon catalog errors.

What we did: We audited every affected ASIN, identified the exact listing errors, corrected required attributes and product data, replaced non-compliant images and worked through Seller Central cases where catalog-level corrections were required.

Result: The affected listings were restored and made purchasable again, helping the seller recover lost visibility and generate a 31% increase in monthly sales after the catalog cleanup.

CASE 04

Optimized Automotive Listings for Better Search Visibility

Marketplace: Amazon

Problem: The client had quality automotive products on Amazon, but listings were built with basic supplier information. Titles were poorly structured, bullet points lacked important keywords and backend search terms were largely unused.

What we did: We performed keyword research for each product category and rebuilt the listings with SEO-optimized titles, benefit-focused bullet points, improved descriptions and relevant backend search terms. We also improved product images and organized content around the information automotive buyers needed before purchasing.

Result: Products started appearing for more relevant Amazon searches, organic traffic improved and the optimized catalog generated a 36% increase in sales within the following two months.

CASE 05

Scaled an Amazon Automotive Catalog From Hundreds to Thousands of SKUs

Marketplace: Amazon

Problem: The seller wanted to expand a large automotive catalog on Amazon, but supplier files contained inconsistent titles, missing attributes, duplicate information and incomplete product data. Creating every listing manually was slowing down growth.

What we did: We cleaned and standardized supplier data, mapped Amazon category attributes, optimized titles and bullet points, prepared search terms and processed listings in bulk. We monitored upload reports, corrected listing errors and reviewed newly created ASINs to ensure the catalog published correctly.

Result: The seller successfully expanded from hundreds to thousands of active automotive SKUs, dramatically reducing the time required to launch new products while maintaining consistent listing quality across the catalog.

CASE 06

Turned Basic Listings Into a Branded Amazon Experience

Marketplace: Amazon

Problem: The automotive brand had strong products, but its Amazon listings relied on basic images and descriptions. There was no consistent brand presentation, A+ Content or structured storefront to help customers understand the product range.

What we did: We redesigned the content strategy with professional product graphics, comparison charts and SEO-focused A+ Content. We also organized the Amazon Brand Store around product categories and vehicle applications, creating a consistent journey from advertising to product pages.

Result: The new content gave the brand a more professional presence, made complex product information easier to understand and helped improve customer engagement. Conversion rate increased by 28% across the optimized listings.

CASE 07

Michigan Motorsports

Client: Michigan MotorsportsMarketplace: Amazon

Problem: Duplicate and inconsistent product data made the catalog harder to manage across the store.

What we did: We cleaned and standardized product data, removed duplicates and kept one source for every update.

Result: The catalog became easier to maintain, with one clear record for each product.

CASE 08

ENA

Client: ENAMarketplace: Amazon

Problem: A large auto-parts catalog on Amazon needs titles, attributes and fitment to stay aligned with marketplace rules.

What we did: We kept listing templates updated, corrected product data and fitment, and cleared suppressions on a fixed schedule.

Result: The storefront stayed live with clean, consistent listings and fewer catalog errors to chase.

CASE 09

Auto4You

Client: Auto4YouMarketplace: Amazon

Problem: Category and variation data drifted over time, which caused listing errors on high-volume SKUs.

What we did: We standardized variation structure, rebuilt key product data and set a repeatable update rhythm.

Result: Listings stayed accurate through catalog changes, with issues handled before they affected sales.

CASE 10

SYKRSS

Client: SYKRSSMarketplace: Amazon

Problem: New products had to be listed quickly without breaking title, attribute or fitment standards.

What we did: We built listing templates from the master catalog and published new SKUs through a shared checklist.

Result: New products went live faster, in the same format as the rest of the catalog.

CASE 11

X4XZ-Auto

Client: X4XZ-AutoMarketplace: Amazon

Problem: Duplicate and inconsistent product data made the catalog harder to manage across the store.

What we did: We cleaned and standardized product data, removed duplicates and kept one source for every update.

Result: The catalog became easier to maintain, with one clear record for each product.

CASE 12

Xotic Performance

Client: Xotic PerformanceMarketplace: Amazon

Problem: A large auto-parts catalog on Amazon needs titles, attributes and fitment to stay aligned with marketplace rules.

What we did: We kept listing templates updated, corrected product data and fitment, and cleared suppressions on a fixed schedule.

Result: The storefront stayed live with clean, consistent listings and fewer catalog errors to chase.

CASE 13

NPAUTO

Client: NPAUTOMarketplace: Amazon

Problem: Category and variation data drifted over time, which caused listing errors on high-volume SKUs.

What we did: We standardized variation structure, rebuilt key product data and set a repeatable update rhythm.

Result: Listings stayed accurate through catalog changes, with issues handled before they affected sales.

CASE 14

Doc's Diesel

Client: Doc's DieselMarketplace: Amazon

Problem: New products had to be listed quickly without breaking title, attribute or fitment standards.

What we did: We built listing templates from the master catalog and published new SKUs through a shared checklist.

Result: New products went live faster, in the same format as the rest of the catalog.

CASE 15

Shinny Mermaid

Client: Shinny MermaidMarketplace: Amazon

Problem: Duplicate and inconsistent product data made the catalog harder to manage across the store.

What we did: We cleaned and standardized product data, removed duplicates and kept one source for every update.

Result: The catalog became easier to maintain, with one clear record for each product.

CASE 16

Pathfinder Auto

Client: Pathfinder AutoMarketplace: Amazon

Problem: A large auto-parts catalog on Amazon needs titles, attributes and fitment to stay aligned with marketplace rules.

What we did: We kept listing templates updated, corrected product data and fitment, and cleared suppressions on a fixed schedule.

Result: The storefront stayed live with clean, consistent listings and fewer catalog errors to chase.

CASE 17

AutoDevil

Client: AutoDevilMarketplace: Amazon

Problem: Category and variation data drifted over time, which caused listing errors on high-volume SKUs.

What we did: We standardized variation structure, rebuilt key product data and set a repeatable update rhythm.

Result: Listings stayed accurate through catalog changes, with issues handled before they affected sales.

PLATFORMS

eBay Motors Case Studies

Product data, fitment, and marketplace optimization for eBay Motors sellers.

2 CASE STUDIESFrom catalog cleanup to fitment and high-volume listing management.
CASE 01

Supporting a High-Volume Auto Parts Catalog on eBay

Client: Detroit Axle

Problem: With an extensive product range covering CV axles, wheel hubs & bearings, suspension, chassis, struts, shocks, brake components, steering and drivetrain parts, managing a large eBay catalog requires accurate product data and vehicle compatibility across thousands of applications.

What we did: We created and optimized automotive listings with SEO-focused titles, complete item specifics and detailed product information. We added and updated Year / Make / Model compatibility, improved fitment coverage and maintained consistent listing data across multiple product categories to help customers identify the correct parts for their vehicles.

Result: Our work supported Detroit Axle’s large-scale, fitment-driven eBay operation. The store has reached an impressive 7.3M items sold, maintained 99.8% positive feedback, and built a community of more than 321K followers.

CASE 02

Connected eBay and Website Inventory to Reduce Cancellations

Problem: The seller was managing products across eBay and their own website, but inventory was not properly synchronized. Out-of-stock products were still selling on eBay, causing frequent order cancellations. The catalog also needed expansion with accurate vehicle compatibility data.

What we did: We created and published new eBay listings with complete Year / Make / Model fitment and compatibility data, while also updating the seller’s website catalog. We connected eBay and the website to synchronize inventory and stock levels across both channels.

Result: With more fitment-ready products and synchronized inventory, the seller achieved a 32% increase in sales, while the order cancellation rate dropped from 8% to just 2%. The integration also created a more reliable system for managing inventory across eBay and the website.

CASE 03

Optimized eBay Automotive Catalog to $357K+ in Sales

Problem: The seller had a large automotive catalog, but incomplete fitment, inconsistent item specifics and under-optimized listings were limiting product visibility and making it harder for customers to find the correct parts.

What we did: We optimized existing listings, rebuilt vehicle compatibility and fitment data, cleaned up item specifics and improved listing structure across the store. We also continued adding and optimizing products to increase catalog coverage and reach more relevant automotive searches.

Result: The store generated $357,165 in total sales and sold 4,052 items during the reported period. Quantity sold increased 10.7%, while net sales reached $248,972 — up 7.4% compared with the previous period.

CASE 04

Managing a High-Volume eBay Automotive Catalog

Problem: Managing a large automotive catalog at this scale requires accurate product data, vehicle compatibility and consistent listings across thousands of SKUs. New products also need to be added continuously without compromising listing quality or fitment accuracy.

What we did: We created and optimized new automotive listings, updated existing product data and added accurate Year / Make / Model compatibility to help customers find the right parts for their vehicles. We also maintained item specifics, titles, images and fitment data across the catalog to keep listings organized and search-ready.

Result: Our work supported a high-volume eBay operation with 12,000+ active listings. The store has achieved 18.5M items sold, maintained 99.7% positive feedback, and built a community of more than 401K followers.

CASE 05

Scaling MAPerformance Across eBay & Its Online Store

Problem: Managing a large performance-parts catalog across eBay and the company website required consistent product data, accurate vehicle fitment and continuous catalog expansion. With thousands of performance parts covering multiple makes and categories, maintaining listing quality across channels was essential.

What we did: We created and optimized new eBay listings, added accurate Year / Make / Model compatibility and improved titles, item specifics, images and product information. Alongside eBay, we worked on the MAPerformance website catalog to keep product data, categories and vehicle applications organized and consistent across both channels.

Result: Our work supported a large-scale multi-channel automotive catalog with 18,000+ active eBay listings. The eBay store has reached 354K items sold, maintained 99.7% positive feedback, and built a following of more than 13K customers, while the website continues to serve as a major destination for performance and aftermarket automotive parts.

CASE 06

Growing a Fitment-Driven Replacement Parts Catalog

Problem: The seller offered vehicle-specific products including side view mirrors, rear-view mirrors, lift supports, floor mats and other replacement accessories. With products fitting hundreds of different vehicles, accurate compatibility data and well-structured listings were essential for reaching the right buyers and avoiding incorrect orders.

What we did: We created and optimized new eBay listings with SEO-focused titles, complete item specifics, quality product information and accurate Year / Make / Model compatibility. We also updated existing listings, expanded fitment coverage and organized product data to improve visibility across relevant vehicle searches.

Result: The expanded and optimized catalog helped customers find the right replacement parts for their vehicles while supporting continued store growth. OEMPartsPlus has reached 79K items sold, maintained 99.7% positive feedback, and built a growing base of 760+ followers.

CASE 07

Rugged Tuff

Problem: Returns and buyer questions pointed back to incomplete product data on listings.

What we did: We corrected product data, fitment and compatibility notes so buyers could self-serve.

Result: Fewer data-driven returns and questions for the support team.

CASE 08

AUXITO

Problem: eBay Motors listings depend on correct fitment and complete item specifics to stay visible.

What we did: We rebuilt fitment tables, cleaned item specifics and kept listing templates consistent across the store.

Result: Fitment errors dropped and listings stayed competitive in category search.

CASE 09

V Motors

Problem: High-volume listings were being maintained manually, which slowed every update.

What we did: We automated bulk listing updates and standardized templates for repeatable maintenance.

Result: Listing updates became faster and consistent across the catalog.

CASE 10

Auto Parts Toys

Problem: Returns and buyer questions pointed back to incomplete product data on listings.

What we did: We corrected product data, fitment and compatibility notes so buyers could self-serve.

Result: Fewer data-driven returns and questions for the support team.

CASE 11

Auto Power Seven

Problem: eBay Motors listings depend on correct fitment and complete item specifics to stay visible.

What we did: We rebuilt fitment tables, cleaned item specifics and kept listing templates consistent across the store.

Result: Fitment errors dropped and listings stayed competitive in category search.

CASE 12

AUXITO Professional AutoParts

Problem: eBay Motors listings depend on correct fitment and complete item specifics to stay visible.

What we did: We rebuilt fitment tables, cleaned item specifics and kept listing templates consistent across the store.

Result: Fitment errors dropped and listings stayed competitive in category search.

CASE 13

AUXITO Lamps

Problem: High-volume listings were being maintained manually, which slowed every update.

What we did: We automated bulk listing updates and standardized templates for repeatable maintenance.

Result: Listing updates became faster and consistent across the catalog.

CASE 14

Autoparts Premium

Problem: Returns and buyer questions pointed back to incomplete product data on listings.

What we did: We corrected product data, fitment and compatibility notes so buyers could self-serve.

Result: Fewer data-driven returns and questions for the support team.

CASE 15

AutoShack AutoParts USA

Problem: eBay Motors listings depend on correct fitment and complete item specifics to stay visible.

What we did: We rebuilt fitment tables, cleaned item specifics and kept listing templates consistent across the store.

Result: Fitment errors dropped and listings stayed competitive in category search.

CASE 16

YellowSpeed

Problem: High-volume listings were being maintained manually, which slowed every update.

What we did: We automated bulk listing updates and standardized templates for repeatable maintenance.

Result: Listing updates became faster and consistent across the catalog.

CASE 17

TurboEnginePartsUS

Problem: Returns and buyer questions pointed back to incomplete product data on listings.

What we did: We corrected product data, fitment and compatibility notes so buyers could self-serve.

Result: Fewer data-driven returns and questions for the support team.

CASE 18

Automotive-Cooling

Problem: eBay Motors listings depend on correct fitment and complete item specifics to stay visible.

What we did: We rebuilt fitment tables, cleaned item specifics and kept listing templates consistent across the store.

Result: Fitment errors dropped and listings stayed competitive in category search.

CASE 19

BrakespartsZone

Problem: High-volume listings were being maintained manually, which slowed every update.

What we did: We automated bulk listing updates and standardized templates for repeatable maintenance.

Result: Listing updates became faster and consistent across the catalog.

CASE 20

MaXpeedingrods-Turbo

Problem: Returns and buyer questions pointed back to incomplete product data on listings.

What we did: We corrected product data, fitment and compatibility notes so buyers could self-serve.

Result: Fewer data-driven returns and questions for the support team.

CASE 21

BrakesOnline

Problem: eBay Motors listings depend on correct fitment and complete item specifics to stay visible.

What we did: We rebuilt fitment tables, cleaned item specifics and kept listing templates consistent across the store.

Result: Fitment errors dropped and listings stayed competitive in category search.

PLATFORMS

Walmart Case Studies

Item setup, attributes and catalog quality for Walmart automotive listings.

1 CASE STUDYComplete item data, attribute coverage and catalog issue resolution.
CASE 01

Scaling an Automotive Parts Catalog on Walmart

Problem: Parts Geek carries a large selection of OEM and aftermarket automotive parts covering thousands of vehicle applications. Expanding such a catalog on Walmart required accurate product data, vehicle fitment, complete attributes and optimized listings to help customers find the right parts.

What we did: We created and published new Walmart listings, optimized product titles, descriptions, key features and search-relevant attributes, and added accurate Year / Make / Model fitment data. We also worked on existing listings, corrected publishing and catalog errors, improved product information and expanded the range of products available through the Walmart marketplace.

Result: Our work supported the continued expansion of Parts Geek’s Walmart automotive catalog, helping more products become searchable and available to customers with accurate vehicle application data. The seller has built a strong Walmart presence with 7,365+ ratings and an overall 4.2 out of 5-star seller rating.

CASE 02

Optimizing Vehicle-Specific Lighting Products on Walmart

Problem: KarParts360 offers headlights, taillights and other replacement automotive parts across a wide range of vehicle applications. With lighting products, accurate Make / Model / Year compatibility and complete product attributes are critical, as similar-looking parts can fit completely different vehicles.

What we did: We created and optimized Walmart listings, added accurate vehicle fitment and mapped products to the correct Years, Makes and Models. Our team also corrected missing and inaccurate attributes, improved titles and product descriptions, updated specifications and organized product data to meet Walmart’s automotive catalog requirements.

Result: The improved catalog provided stronger fitment coverage and more complete product information, making it easier for customers to identify the correct lighting products for their vehicles. The optimized listings also reduced catalog errors and created a cleaner, more scalable Walmart presence for KarParts360.

CASE 03

Managing & Optimizing a Large Multi-Category Walmart Catalog

Problem: MoNiBloom carries products across multiple categories, making consistent catalog management a challenge. New products needed to be published efficiently while incomplete attributes, inconsistent product information and listing errors were limiting the quality and visibility of parts of the catalog.

What we did: Our team created and published new Walmart listings, optimized titles and descriptions for relevant search terms, completed missing attributes and specifications, and improved product categorization. We also reviewed existing listings, corrected publishing errors and standardized product information to maintain consistency across the growing catalog.

Result: The work created a cleaner and more scalable Walmart catalog, allowing new products to go live faster while improving the quality of existing listings. MoNiBloom has established a strong marketplace presence with 1,754+ seller ratings and an overall 4.3 out of 5-star rating.

CASE 04

Expanding an Aftermarket Performance Parts Catalog on Walmart

Problem: PIT66 Motor carries a wide range of aftermarket performance parts, automotive lighting and vehicle accessories. As the catalog expanded, incomplete vehicle compatibility, missing attributes and inconsistent product data made it difficult to maintain accurate and search-ready listings across different vehicle applications.

What we did: Our team created and optimized new Walmart listings, added accurate Year / Make / Model fitment, mapped products to the correct vehicle applications and completed missing attributes. We also improved titles, descriptions, specifications and search-relevant product data while correcting existing catalog and publishing issues.

Result: The improved catalog provided better fitment coverage, cleaner product data and a more consistent shopping experience across PIT66 Motor’s automotive range. The seller has built a growing Walmart presence with 690+ ratings and an overall 4.2 out of 5-star seller rating.

CASE 05

Storefront 07 on Walmart

Problem: Walmart item setup requires complete attributes and clean data to avoid quality issues.

What we did: We set up items with full attribute coverage and resolved catalog issues as they appeared.

Result: Items stayed approved and visible, with catalog quality issues handled early.

CASE 06

Storefront 08 on Walmart

Problem: Missing and inconsistent attributes were limiting how items appeared in search.

What we did: We completed attribute coverage, standardized product data and aligned items with the master catalog.

Result: Item data stayed complete and consistent as the catalog grew.

CASE 07

Storefront 09 on Walmart

Problem: Catalog errors and duplicate records created manual cleanup work for the team.

What we did: We cleaned duplicate records, corrected item data and set a repeatable review rhythm.

Result: Catalog issues were caught early instead of after they affected listings.

CASE 08

Storefront 10 on Walmart

Problem: Walmart item setup requires complete attributes and clean data to avoid quality issues.

What we did: We set up items with full attribute coverage and resolved catalog issues as they appeared.

Result: Items stayed approved and visible, with catalog quality issues handled early.

PLATFORMS

Web Shop Manager Case Studies

Storefront catalog structure, fitment and ongoing maintenance for Web Shop Manager.

1 CASE STUDYProduct pages, fitment and bulk catalog updates for WSM stores.
CASE 01

Building a Fitment-Driven Off-Road Parts Website

About the Business: Bucks 4x4 specializes in complete custom builds and parts for Jeeps, trucks and SUVs, serving customers focused on off-road adventures and lifestyle upgrades. The catalog includes suspension systems, tires, wheels, bumpers, winches, recovery gear, performance parts, truck accessories, steps and other off-road products for major vehicle manufacturers.

Problem: With such a broad range of vehicle-specific products, customers needed an easier way to find parts that actually fit their vehicle. The growing catalog also made manually maintaining product information, supplier pricing and inventory increasingly difficult.

What we did: Our team built and optimized the website’s product catalog, added new products with accurate fitment data and connected them to a Year / Make / Model vehicle search. We organized products across key off-road categories and linked supplier data feeds with the website so inventory and pricing update automatically as supplier information changes.

Result: Bucks 4x4 gained a scalable, fitment-driven off-road eCommerce catalog where Jeep, truck and SUV owners can quickly find compatible upgrades for their vehicles. Automated supplier synchronization keeps stock and pricing current, reduces manual catalog work and makes it easier to continuously expand the store with new fitment-ready products.

CASE 02

Managing a Complete Gas & Diesel Performance eCommerce Platform

About the Business: SunCoast specializes in gas and diesel performance products, including transmissions, torque converters, rebuild kits, drivetrain components and other performance parts for a wide range of vehicle applications.

Problem: Managing a large performance-parts catalog required more than simply publishing products. The business needed a scalable website, accurate vehicle fitment, structured ACES & PIES data, optimized product content and an efficient way to distribute product information to its dealer network.

What we did: Our team developed and continues to manage the SunCoast website and product catalog. We create and optimize product listings, manage Year / Make / Model fitment, map ACES & PIES data, improve SEO and maintain accurate product attributes and application information. We also developed a dedicated Dealer Portal, allowing SunCoast to provide its dealers with organized and up-to-date product data.

Result: SunCoast gained a centralized, fitment-driven eCommerce platform that supports both retail customers and its dealer network. Accurate vehicle applications and structured product data make products easier to find and manage, while the dealer portal simplifies data distribution. Our team continues to monitor and manage the website on an ongoing basis, identifying catalog or website issues and resolving them as they arise.

CASE 03

Building & Managing a Fitment-Ready Diesel Parts Catalog

About the Business: Underdog Diesel specializes in diesel performance and replacement parts, serving truck owners looking for upgrades, maintenance components and vehicle-specific diesel products.

Problem: As the product range expanded, the store needed consistent product listings and accurate vehicle applications. Without properly structured fitment and catalog data, customers could have difficulty identifying which products were compatible with their specific trucks.

What we did: Our team created and published new products, optimized existing listings and added accurate Year / Make / Model fitment data across the catalog. We organized product information, specifications and vehicle applications while continuously managing the store and keeping the catalog accurate and up to date.

Result: Underdog Diesel now has a cleaner, more organized and fitment-driven product catalog, making it easier for customers to find compatible diesel parts. Our team continues to manage the store, add new products, maintain fitment data and resolve catalog issues as the business grows.

CASE 04

Organizing & Scaling a Large Performance Parts Catalog

About the Business: SD Parts specializes in automotive performance and restoration parts, offering products across engine, drivetrain, fuel, exhaust, suspension and other performance categories for a wide range of vehicles.

Problem: A large automotive catalog requires accurate product information, structured categories and reliable vehicle applications. As new products and brands were added, maintaining consistent product data and fitment across the website became increasingly important.

What we did: Our team created and optimized product listings, organized categories and attributes, and added accurate Year / Make / Model fitment to vehicle-specific products. We improved product titles, descriptions, specifications and search-focused content while continuously reviewing the catalog for missing or incorrect data.

Result: SD Parts gained a cleaner and more scalable performance-parts catalog where customers can more easily navigate products and identify components for their vehicles. Our ongoing catalog management keeps product information, fitment and listings organized as the store continues to expand.

CASE 05

Creating a Better Shopping Experience for Truck & SUV Parts

About the Business: Dale’s Super Store offers truck, Jeep and SUV parts and accessories, including suspension upgrades, wheels, exterior accessories and other products designed for vehicle customization and off-road use.

Problem: With products covering different makes, models, configurations and vehicle applications, customers needed an easier way to identify compatible parts. The expanding catalog also required consistent product information and properly maintained fitment.

What we did: Our team listed and optimized products across the website, improved product data and organized the catalog around relevant automotive categories. We added and maintained Year / Make / Model compatibility, corrected product attributes and applications, and optimized listing content to improve both search visibility and the customer shopping experience.

Result: The website developed into a more organized, vehicle-focused shopping experience, allowing customers to narrow the catalog to products relevant to their trucks, Jeeps and SUVs. Ongoing catalog and fitment management also makes it easier to introduce new products while maintaining consistent data quality.

CASE 06

Managing a Vehicle-Specific Performance & Suspension Catalog

About the Business: Revel Performance specializes in premium suspension and performance upgrades for trucks, SUVs and other vehicle applications, with products designed around specific vehicle configurations and performance requirements.

Problem: Suspension and performance products can have highly specific vehicle applications, making accurate fitment and detailed product information essential. Incorrect or incomplete applications could lead customers to the wrong configuration and create unnecessary fitment questions or ordering issues.

What we did: Our team created and optimized product listings, structured vehicle applications and added accurate Year / Make / Model fitment throughout the catalog. We improved titles, descriptions, specifications, attributes and product organization while maintaining compatibility data as new products and vehicle applications were introduced.

Result: Revel Performance gained a more accurate and organized fitment-driven catalog that helps customers identify the correct suspension and performance products for their vehicles. Our continued catalog management keeps product information and vehicle applications current while supporting the addition of new products as the business grows.

CASE 07

CalTric

Problem: New products had to be added without breaking the store's category and fitment structure.

What we did: We followed the store's catalog structure for new products, keeping categories and fitment intact.

Result: The catalog grew cleanly, with navigation and fitment still working as intended.

CASE 08

King Shocks

Problem: The store's product pages needed consistent structure, fitment and current catalog data.

What we did: We organized product pages, corrected fitment and ran bulk catalog updates on the Web Shop Manager store.

Result: Product pages stayed accurate and easier to browse, with updates handled in bulk.

CASE 09

PUR Performance

Problem: Outdated product information and inconsistent page layouts slowed the storefront down.

What we did: We refreshed product content, standardized page structure and scheduled regular catalog maintenance.

Result: The storefront stayed current without the team rebuilding pages one by one.

CASE 10

Watson Diesel Service

Problem: New products had to be added without breaking the store's category and fitment structure.

What we did: We followed the store's catalog structure for new products, keeping categories and fitment intact.

Result: The catalog grew cleanly, with navigation and fitment still working as intended.

PLATFORMS

Shopify Case Studies

Store catalog organization, fitment presentation and product data for Shopify brands.

2 CASE STUDIESProduct structure, collections and ongoing store catalog maintenance.

PLATFORMS

WooCommerce Case Studies

Structured product data, attributes and catalog maintenance for WooCommerce stores.

1 CASE STUDYCategories, attributes, variations and repeatable catalog updates.
CASE 04

Verus Engineering

CASE 07

RallySport Direct

CASE 09

Flat 6 Motorsports

PLATFORMS

Other Case Studies

Custom stores, distributor feeds, data pools and other destinations beyond the marketplaces.

1 CASE STUDYCustom data mapping, feed accuracy and cross-channel consistency.
CASE 01

From Manufacturer Data to Marketplace-Ready Catalogs

Problem: Strong internal product data, but marketplace listings and partner feeds were incomplete and inconsistent — different teams kept rebuilding the same fields.

What we did: We cleaned and enriched the product data, standardized attributes and application data, built ACES/PIES-ready fields where required, and mapped one catalog to every destination.

Result: One cleaner catalog structure supporting marketplaces, stores, distributors and feeds without duplicate work.

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