Built by someone who's watched parts merchants lose sales.

ModelMatch didn't start as a software idea. It started as a pattern I kept watching play out in parts commerce — a shopper lands on a product page, reads the title, scans the description, and can't tell whether the part they're looking at actually fits the machine they own. So they leave. Not because the part was wrong. Because the page couldn't tell them it was right.

Parts merchants don't lose sales because their catalog is missing the item. They lose sales because the moment of doubt never gets resolved. A filter that fits forty different furnaces gets described as "a filter." A belt that services eight brands of riding mower gets listed by dimension alone. The compatibility data exists somewhere — in a supplier spreadsheet, a technician's head, a PDF on a manufacturer site — but it almost never lives on the product page where the shopper actually needs it.

The tools that do exist are built for one category. Auto fitment platforms assume every shopper is looking up a car by year, make, and model. They don't translate to HVAC. They don't translate to appliance parts. They don't translate to the dozens of other verticals where matching by model number is the whole game. Merchants selling in those verticals are left to build their own workarounds, bolt together spreadsheets and custom fields, or give up and accept the lost sales as a cost of doing business.

ModelMatch exists to fix that.

The app is built around a simple idea: if you sell parts that have to match a model, the product page should be able to say so. Shoppers type in what they own. They get a clear answer — fits, likely fits, doesn't fit, we're not sure. Merchants upload the compatibility data they already have, and it translates into fewer returns and higher conversion on the pages that matter most.

It's built for every parts vertical, not just auto. It's built to feel native to Shopify, because that's where the merchants we care about are already running their stores. And it's built to be the kind of tool a real parts merchant would actually want on their storefront — clean, fast, honest about what it knows and doesn't know, and quietly doing its job in the background of every sale.