Heavi provides AI‑driven parts intelligence for heavy‑duty diesel engines and equipment, allowing users to input a VIN or year‑make‑model and instantly receive fit‑tested part options at the best price. The platform searches OEM systems, aftermarket catalogs, and contacts vendors on the user’s behalf, then handles ordering and delivery directly to the customer’s door.
Funding
Funding not disclosed
Founders
Product
Problem
Fleet managers and parts distributors for heavy‑duty diesel engines often waste time searching multiple OEM systems, aftermarket catalogs, and vendor sites to verify part fitment, leading to back‑order delays and price uncertainty.
Solution
Heavi offers an AI‑driven platform that accepts a VIN or year‑make‑model and a part description, then automatically queries OEM databases, aftermarket inventories, and e‑commerce sources to generate a list of verified fit‑for‑purpose components. The system ranks options by price and availability, allowing users to select the preferred part. Heavi handles order placement, confirmation, and coordinates direct delivery to the customer’s location, eliminating manual supplier outreach and reducing lead times. The AI is trained on diesel engine schematics and parts catalogs, ensuring accurate fitment at the VIN level. The workflow is presented as a simple three‑step process: ask Heavi, let the AI search, and review/confirm the chosen part.
Target Audience
Primary users are fleet managers responsible for maintaining heavy‑duty trucks and equipment, and parts distributors who source components for diesel engines.
Features
- VIN‑level part identification using AI trained on diesel engine schematics and OEM part catalogs
- Real‑time aggregation of OEM, verified aftermarket, and e‑commerce inventory data
- Automated price comparison and availability ranking for each matching component
- One‑click order placement with vendor communication handled by the platform
- Direct-to‑door delivery coordination and order status tracking
- Web interface that guides users through a three‑step “Ask, Search, Review” workflow