Case Study

AutoDAP Chat: AI Parts Assistant for Vehicle Identification Across 195+ Categories

Automotive · Aftermarket SaaS

The Challenge

Automotive aftermarket professionals — workshops, parts sellers, insurers, and dismantlers — relied on manual VIN lookups and fragmented catalogs to identify vehicle-specific parts, wasting time and risking incorrect matches across thousands of SKUs and OE numbers.

The Solution

NINtec built chat.autodap.parts — an AI-powered conversational parts assistant that lets users query AutoDAP's vehicle data platform in natural language. The chat interface decodes VINs, maps parts across 195+ categories, retrieves OE numbers, surfaces service intervals, and delivers fault-code lookups — all through a single conversational UI powered by AutoDAP's JSON API.

Results

195+

Parts Categories

<3s

VIN-to-Parts Lookup

5

Aftermarket Segments Served

24/7

AI Availability

Technology Stack

Next.jsAI/LLMAutoDAP APIVIN DecoderJSON RESTVercel

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