Build a Photo-Based Appliance Part Finder

1. 1

   Nail the model plate first

   Every appliance's parts universe keys off its model number, hidden on plates behind drawers, under lids, and inside doors. OCR tuned for worn and stylized labels, plus a per-brand guide to where the plate hides, solves the step where most people quit; the failed-part photo matching is the second act, not the first.

2. 2

   License the catalog spine

   Model-to-parts mappings live in manufacturer and distributor catalogs and in parts retailers' affiliate data feeds. Build on licensed and sanctioned sources; the mapping data is the product's spine, and clean rights are what let you stay neutral across retailers instead of becoming one storefront's tool.

3. 3

   Compare prices as the honest broker

   The same part number across major parts retailers with shipping and stock, linked through affiliate programs, with the user choosing. Neutrality is the consumer promise (and the reason to use you instead of one retailer's app), and affiliate revenue works fine across multiple programs when the recommendation stays honest.

4. 4

   Route to repair guidance, rated honestly

   Link each part to existing repair content and difficulty ratings, including the honest flag: this one involves gas, sealed refrigerant, or capacitor risk, call a pro. The safety line protects users and positions the pro-referral partnership lane rather than pretending every repair is a Saturday project.

5. 5

   Serve the pros as the second market

   Repair technicians identify parts all day from trucks; a pro tier with order history, multi-supplier stock checks, and faster flows earns real subscription money from the trade while the consumer side runs on affiliate margins. Techs also generate the labeled photo data that improves matching.

6. 6

   Grow on the searches people already make

   Millions of monthly searches name the symptom, the brand, and 'what part do I need.' Content answering those queries (by symptom, by brand, by error code) funnels straight into the identification flow; the SEO surface area of appliance failure is enormous and refreshingly uncontested by good tools.

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