Automotive & Accessories Data Intelligence Solutions

Fitment data is the most complex aspect of automotive data extraction because every retailer formats it differently — some use dropdown selectors, others use structured tables, and some embed it in unstructured description text. Our fitment engine normalizes all of these into a consistent YMM schema with OEM part number cross-references, making it straightforward to build or enrich a universal fitment database.

Yes. We track OEM dealer pricing, OEM online retailer pricing, and aftermarket pricing for equivalent parts concurrently. For each part number, we map OEM to aftermarket equivalents using cross-reference databases, so you can compare true OEM versus aftermarket price differentials across AutoZone, RockAuto, eBay Motors, and dealer sites in a unified dataset.

Yes. EV accessories are a rapidly growing segment and we have dedicated extraction templates for EV chargers (Level 1, 2, and DC fast), EV-specific lighting, battery accessories, and OEM EV parts across Tesla, Rivian, and legacy OEM platforms. We track compatibility by EV model year in addition to standard vehicle fitment.

Yes. Our brand protection module cross-references listings against known authorized seller databases, flags pricing anomalies that are characteristic of counterfeit products (significantly below MAP — learn more about MAP pricing and enforcement), detects incorrect part number usage, and monitors seller location signals. Alerts are sent in real time when suspected counterfeit listings are detected on major platforms.

Core charges are a unique challenge in auto parts pricing because they add a refundable deposit that affects the true price. We extract core charge amounts as a separate field from the base price and include both the total checkout price and the net-of-core price in every dataset. This prevents core charges from distorting price comparisons across retailers that handle them differently.

We cover 300+ automotive retailers including AutoZone, O'Reilly Auto Parts, Advance Auto Parts, RockAuto, NAPA, eBay Motors, Amazon Automotive, Walmart Auto, CarParts.com, PartsGeek, Summit Racing, Jegs, and hundreds of specialty retailers for performance, restoration, and off-road segments.

The global automotive aftermarket is valued at over $400 billion and is projected to exceed $500 billion by 2028. North America accounts for approximately 30% of this market, driven by an aging vehicle fleet with an average vehicle age exceeding 12 years. The growing complexity of modern vehicles and the rise of e-commerce parts sales are key factors fueling continued growth.

EVs are fundamentally reshaping the aftermarket because they eliminate many traditional maintenance categories like oil changes, spark plugs, and exhaust systems. However, EVs create new demand in areas such as charging equipment, battery management accessories, and specialized tires designed for heavier vehicle weights. The transition period where both ICE and EV vehicles coexist is expected to last through the 2040s, creating a complex dual-market for parts retailers.

Automotive parts sales follow distinct seasonal cycles. Winter months drive demand for batteries, wipers, antifreeze, and snow tires, while spring and summer see spikes in performance parts, detailing products, and off-road accessories. Back-to-school periods increase demand for used car reconditioning parts, and holiday seasons boost gift-oriented accessories like electronics and appearance upgrades.

Tariffs significantly impact the automotive aftermarket because a large share of parts are manufactured overseas, particularly in China, Mexico, and Southeast Asia. Tariff changes can shift pricing by 10-25% on affected categories within weeks. Manufacturers and retailers often adjust sourcing strategies, moving production to tariff-exempt countries or absorbing costs to remain competitive, making supply chain agility a critical competitive advantage.

ACES (Aftermarket Catalog Exchange Standard) and PIES (Product Information Exchange Standard) are industry data standards maintained by the Auto Care Association. ACES defines vehicle fitment data — which parts fit which vehicles — while PIES standardizes product attributes like dimensions, images, and descriptions. Retailers increasingly require suppliers to provide data in these formats, and products with complete ACES/PIES data consistently achieve higher conversion rates online.

The DIY share of the automotive aftermarket has been gradually declining as vehicle technology becomes more complex, with advanced electronics and calibration requirements pushing more repairs to professionals. However, the rise of YouTube repair tutorials and online parts availability has partially offset this trend for simpler maintenance tasks. Currently, the DIFM segment accounts for roughly 55-60% of the aftermarket by value, and this share is expected to grow as ADAS and connected vehicle systems require professional servicing.