Delvor
Platform in Development

A chat-first auto parts platform for the Baltic market.

Delvor is developing a chat-first auto parts search and ordering platform designed to connect vehicle data, supplier catalogues, pricing and stock availability into one streamlined workflow.

Parts Assistant
Online

Delvor AI

Hello — I can help identify the right auto parts using VIN, vehicle documents and natural-language requests.

Delvor AI

Upload a VIN or describe what you need.

Try: “I need a front wheel bearing”

VIN documentuploaded

WVWZZZ3CZEE123456

You

Delvor AI

Vehicle identified

2013 VW Passat 2.0 TDI

B7 · EU spec

I need a front wheel bearing

You

Delvor AI

Match found — fitment verified

Front wheel bearing

6 options found →
Describe what you need…
Front Wheel Bearing6 results
VIN-matched · Fitment verified
Sort:Relevance ▾All tiers
RIDEX Front Wheel Bearing

RIDEX

Front Wheel Bearing

Budget
29.90Add to cart
SKF Front Wheel Bearing

SKF

Front Wheel Bearing

OEM-equivalent
48.90Add to cart
FAG Front Wheel Bearing

FAG

Front Wheel Bearing

Premium
59.90Add to cart
Showing 3 of 6 · View all options →

concept illustration

The Problem

Buying automotive parts is needlessly complex.

The process hasn't changed in decades. Buyers are expected to know what professionals know — and most don't.

01

No universal language

Buyers don't know OEM codes, brand names, or catalogue references. They describe parts by feel, location, or symptom — not by number.

02

Fragmented catalogues

Parts data is split across dozens of databases, brands, and formats. No single source gives a buyer the full picture for their vehicle.

03

Compatibility uncertainty

Multiple parts may fit the same vehicle. Without expert knowledge, the buyer can't tell which is correct — and wrong purchases are common.

04

Wasted time and returns

Confusion leads to support calls, delays, wrong orders, and costly returns. The current experience fails both buyer and seller.

The Solution

AI that speaks
the buyer's language.

Delvor translates how real people think about car parts into precise, verified, commercially useful results.

VIN-based vehicle identification

Buyers upload a VIN or licence plate. Delvor resolves the exact vehicle specification automatically — no manual input required.

Natural language part requests

Buyers describe what they need in plain language. The AI understands intent, maps it to the correct part category, and filters for exact fitment.

Intelligent matching across catalogues

Delvor searches across connected supplier catalogues, surfaces compatible options, and presents them in a clear, ranked format.

How It Works

Four steps. Zero guesswork.

Every part search follows a simple, AI-guided process that eliminates the knowledge gap between buyer and catalogue.

01

Identify

The buyer provides a VIN, licence plate, or vehicle description. Delvor resolves the exact make, model, engine, and trim.

02

Analyze

The buyer describes the part in plain language. The AI interprets the request and maps it to the correct part category and fitment criteria.

03

Compare

Delvor searches connected supplier catalogues and returns a filtered, ranked list of compatible parts — quality tiers, brands, and availability included.

04

Order

The buyer selects and confirms. The order is routed through the Delvor partner network for fulfilment and delivery.

For Suppliers

Connect your catalogue. Let the AI sell it.

Delvor gives suppliers a new demand channel — buyers who are already certain of what they need, matched precisely to what you carry.

Your Catalogue
Delvor AI
Verified Buyer

Reach buyers who couldn't find you

Most buyers abandon their search before they reach a supplier. Delvor captures that demand at the point of intent and routes it to your catalogue.

No integration complexity

Delvor handles the translation between buyer language and catalogue data. Suppliers connect their product data — the AI does the rest.

Matched, not browsed

Your parts appear when they are the correct answer for a specific vehicle and request — not buried in a list the buyer cannot navigate.

Baltic market coverage — Estonia, Latvia, Lithuania

Baltic Market — Phase 1

Partner Network

Built for the Baltic market first.

Delvor launches with a focused regional network — establishing proven operations before expanding across European markets.

Regional pickup locations

Physical pickup points across the Baltic states enable fast, convenient collection for buyers who prefer not to wait for home delivery.

Workshop integration

Partnered garages and service centres can order parts directly through Delvor — reducing procurement time and eliminating sourcing errors.

Fleet and business access

Fleet operators and B2B buyers get dedicated ordering, volume support, and account management through the Delvor partner network.

Vision

The infrastructure layer for automotive commerce.

Delvor is not a parts shop. It is the intelligence and logistics layer that makes automotive parts commerce work — for buyers, suppliers, and the market as a whole.

Delvor platform — connecting suppliers, buyers, workshops and catalogues

AI-native search

Every search is contextual, vehicle-aware, and language-agnostic. Buyers find the right part regardless of how they describe it.

Unified catalogue layer

Multiple supplier catalogues become one seamless, searchable inventory — normalised, deduplicated, and always current.

Commerce infrastructure

Ordering, routing, fulfilment coordination, and returns management — all handled by the Delvor platform on behalf of buyers and suppliers.

Market intelligence

Every search, match, and order generates data. Suppliers gain visibility into real demand patterns across the regional market.

About Delvor

Built from a practical automotive perspective.

Delvor is being developed from direct experience with the problems that make automotive parts buying difficult — for customers, garages, and the suppliers trying to serve them.

The first development stage focuses on the Baltic market and building the foundations for supplier catalogue integration. The goal is a working platform with real supplier data, not a demo with placeholder content.

01

Automotive market insight

The project is built around real problems observed in vehicle repair, part identification, supplier catalogues and customer communication — not around a generic AI concept.

02

Supplier data integration

Delvor is designed from the start to connect to existing supplier catalogue infrastructure. The platform acts as an AI layer on top of structured parts data, not a replacement for it.

03

Chat-first product experience

Rather than building another traditional parts catalogue, Delvor focuses on making auto parts search accessible through a conversation-based interface that handles identification, matching and ordering in one flow.

Contact

Interested in partnering?

Delvor is actively building its partner network. If you are a catalogue provider, parts distributor, logistics partner, or strategic investor, we want to hear from you.

Get in Touch

hello@delvor.com