Automotive

Find the right part for the right vehicle.

Automotive search is all about precision. Brand, model, year of manufacture, execution, part number and compatibility must come together without wide matching overwriting exact signals.

Precision first

Use vehicle context and identifiers as hard product knowledge.

Vehicle compatibility

Use brand, model, year of manufacture and execution dates when it is explicitly available in the source.

Compatibility →

Part Numbers

Treat OEM, SKU and other product codes as strong exact search routes.

Identifiers →

Technical filters

Make size, connection, material, position and other category-specific features targeted filterable.

Filters →

Product updates

Keep availability and index freshness up-to-date when assortments or compatibility data change.

Index freshness →
From code to customer language

Support both experts and visitors who only know the application.

Exact viewfinders

Quickly allows known codes, type numbers and brand names to lead to the right product.

Application Questions

Use natural language for visitors who know the problem but not yet the exact part.

AI Search →

Zero-result searches

Split out missed search queries to missing codes, write modes, and compatibility data.

Zero-result searches →

Analytics

Use query and click data to improve technical data and navigation in a targeted manner.

Analytics →

Test with real vehicles, parts and codes.

This gives a much better picture of search quality than generic sample queries.

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