Ecommerce
Parts and accessories stores that carry the whole catalogue, with fitment, feeds and checkout that just works.
We built a Harley parts store that carries the whole OEM catalogue. Yours can be smaller. It cannot be slower.
What we do
Parts ecommerce lives or dies on three things: does the part fit, is it in stock, and can the customer find it. Most stores fail the third one because writing a page for every part, model and year is impossible by hand.
That is the job the AI does. Supplier feeds come in, cleaned catalogue pages go out: model pages, category pages, fitment pages, brand pages, each one indexable, each one checked against rules you set for price, stock and below-cost protection.
Checkout, accounts, VIN lookup, “my bike” garages, multi-currency editions and marketplace feeds are all things we have shipped on our own stores. We bring the same code and the same scars.
Questions
we get asked
Which platform do you use?
For large catalogues we build a static, search-engine-friendly storefront on Cloudflare with a Supabase database and Stripe checkout, the same stack as our own stores. For smaller shops Shopify is often the right call and we say so.
Can you import my supplier feeds?
Yes. Supplier feeds, OEM parts diagrams and fitment data are exactly the messy inputs the AI pipeline is built to clean, price and publish.
What about Google Shopping?
Product feeds for Google Merchant Center are generated as part of the build, including the attributes apparel and parts need to be accepted.
