JOY Automart's fitment authority and chassis-decoder spine. JOY VIN runs 24/7 — scraping JDM auction houses, decoding Japanese chassis prefixes, building the world's most complete fitment matrix for Bengali-language workshops. JOYADH asks 'will this brake pad fit a 2014 Axela?' — JOY VIN answers in 6 ms.
Become the world's authoritative fitment matrix for Bangladesh-imported JDM + EU + US vehicles. Decode every chassis. Index every part. Keep the truth fresh.
Japanese chassis prefixes (W203, ZRR70, GG3S…) decoded into make·model·year·trim in milliseconds.
USS · CarSensor · Goo-net · Yahoo Auctions Japan — pricing, mileage, grade, accident history.
27,899 OEM parts mapped with Bengali + English search terms.
Customer uploads dashboard photo · JOY VIN Vision extracts chassis code from the panel.
Per-chassis WebGL exploded assembly — hover parts to highlight, slide to explode.
Preview part in AR on the actual bench — ±2 mm dimensional · 7-day return · chassis-locked.
Every other agent depends on JOY VIN's fitment truth. Without a clean chassis decode, ARES can't compare rival prices for the right part. Without it, ZIFA can't target the right segment. JOY VIN is the bedrock layer the rest of the empire is built on.
JOY VIN answers 'will this fit?' — it does not answer 'should we recommend this?'. That is JOYADH's job. JOY VIN is a deterministic engine, not a strategist.
| Layer | Tech | Purpose |
|---|---|---|
| Scraper | Playwright fleet · BD-IP rotation · CAPTCHA solver | Continuous JDM auction + parts scrape |
| Chassis dictionary | Curated 4,200-row JSON + ML-augmented | Prefix → make/model/year/trim resolution |
| Index | MongoDB · text + 2dsphere indexes | Sub-10ms fitment queries even at 5M rows |
| Visual stack | Three.js (WebGL) + Google model-viewer (AR) | 3D explode + WebXR / AR Quick Look |