Nobody walks into a tractor parts counter and leads with a year. They lead with "John Deere 5075E." Every automotive YMM app makes Year the first dropdown and forces your customer to answer a question they do not care about. ViewForge ships a tractor template that starts where your customer starts.
Brand first. 12,000+ SKUs in production. Template 03: Brand / Series / Model / Variant — John Deere › 5 Series › 5075E › Cab.
Cars get a model year because they are redesigned annually. Tractors do not work that way — a model can stay in production, essentially unchanged, for fifteen years. Asking for a year first filters on the least reliable attribute your customer knows, and half of them will guess. ViewForge’s tractor template runs Brand → Series → Model → Variant, which is the order the shopper already has in their head when they walk up to the counter.
John Deere 5 Series, Kubota M7, New Holland Workmaster: the series is how the entire industry organises equipment, and it is the level at which a lot of parts commonality actually lives. Automotive schemas have no slot for it, so merchants end up cramming "5 Series 5075E" into the Model field and losing the ability to filter on either one cleanly. Four real cascading dimensions means Series gets its own.
A 5075E with a front loader and a 5075E with a mid-mount mower need different parts. That distinction has to live somewhere, and in the tractor template it lives in Variant — Cab, Open Station, Front Loader, whatever your catalog stocks against. Rename the dimension to Implement from the $19 Starter tier if that is the word your customers use. The point is that the fourth level exists and you control it.
Import fitment from three suppliers and you will get "Case IH", "Case-IH" and "CaseIH" in the same column. Left alone, that is three entries in the customer-facing dropdown and three ways to see a partial catalog. ViewForge normalizes for case and punctuation so those collapse into one storefront option, and fuzzy matching on import flags the near-duplicates before they land. On a 12,000-SKU catalog accumulated over years, this is not a detail.
A catalog this size is a Premium catalog — unlimited fitment records, ACES/PIES if a supplier ever sends it. $2,400 a year if you pay annually, which is $480 less than paying monthly.
Install freeOne that does not start with Year. Tractor parts need Brand, Series, Model and Implement or Variant, because ag equipment stays in production for years and model year is a poor first filter. ViewForge ships a tractor template with exactly that schema, lets you relabel every dimension, and stores fitment as Shopify metaobjects so it survives an uninstall. It runs in production on an independent tractor parts catalog of 12,000+ SKUs.
Yes. There are four fully customizable cascading dimensions per template. The tractor default is Brand / Series / Model / Variant — John Deere → 5 Series → 5075E → Cab — and from the $19/month Starter tier you can rename any dimension, drop levels you do not need, or build a different schema entirely with the custom template builder. Brand / Model / Implement and Brand / Year / Implement are both fine.
All of them, because there is no built-in brand list to be limited by. The Brand slot accepts any value — John Deere, Kubota, Massey Ferguson, Case IH, New Holland, Mahindra, Kioti, Branson, Yanmar. Brands are created as you import or enter fitment records, and near-duplicate spellings are collapsed so "Case IH" and "Case-IH" appear once in the storefront dropdown rather than twice.
Yes — that is what the fourth cascading level is for. In the tractor template it is called Variant and holds Cab, Open Station, Front Loader, Mid-Mount Mower, or whatever distinctions your catalog stocks against. A shopper picks John Deere → 5 Series → 5075E → Front Loader and sees only parts for that combination. You can rename the dimension to Implement if that matches your customers’ language.
It does today. An independent tractor parts retailer runs 12,000+ SKUs on ViewForge, and the app has been load-tested past 10,000 fitment records on a single store. The dropdown query uses indexed SQL with normalized canonicalization, which is what keeps the storefront responsive and stops years of accumulated brand-name variants from fragmenting the filter. Catalogs of that size want the $240/month Premium tier for unlimited fitment records.
"Year Make Model" was written for cars. Tractors have a Brand, a Series, a Model, and an implement or variant — and a 1987 model that stayed in production until 2004 makes Year actively misleading as a first filter. ViewForge is the Shopify fitment app with a tractor-native template, running in production on a catalog of 12,000+ SKUs. see ViewForge →