Deep catalogues, knowledgeable buyers and stock that is often one-of-a-kind. The hard part is not design — it is making thousands of variants findable.
What goes wrong
The problems in this sector
Catalogues run to thousands of SKUs with fine distinctions between them
Buyers search by manufacturer, scale, year and driver, not by category
Single-unit and used stock has to be handled without overselling
Legacy platforms buckle under filtering at this scale
How we work
What we do about it
Filtering built on Shopify’s native Search & Discovery rather than an app
Metafield-driven specifications so attributes stay consistent across the range
Migrations that preserve a decade of catalogue and order history
Stock accuracy work, because a collector who is oversold does not return
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