Grapefruit

Automotive

Digital platforms and AI for automotive brands and dealer networks

Grapefruit builds digital sales platforms, brand websites and customer journeys for automotive brands, importers and dealer networks. Our 20-year digital partnership with Dacia includes its online sales and reservation platform, we rebuilt renault.ro on Renault's international CMS in three and a half months, and we now help automotive teams apply AI to lead handling and content.

Talk to our automotive teamSee automotive case studies

Clients in automotive

  • Dacia
  • Renault
  • Nissan
  • DENSO
website traffic
+20%website traffic, first 3 months after launch
to launch the new site
3.5 monthsto launch the new site
legacy pages retired
1,700+legacy pages retired

Challenges

What automotive teams are up against

  • Local markets inside global templates

    Group headquarters set the platform, template and brand rules, while the local team owns content, offers, dealers and results. Every local need has to fit a global standard, on a launch date that does not move.

  • Online research, offline purchase

    Buyers configure, compare and check financing online, then finish the purchase at a dealer. Journeys break at the hand-off, and leads lose context between website, call centre and showroom.

  • Dealer lead quality and follow-up

    Test drive and offer requests arrive from many campaigns and forms. Without scoring, routing and follow-up rules, dealers receive leads late, twice or without the information needed to close.

  • Huge, fast-changing product content

    Models, trims, specifications, prices and promotions change constantly across dozens of pages and markets. Keeping everything correct is expensive, and errors cost trust and sales.

What we build

What we build for automotive

AI use cases

Where AI helps in automotive

Maturity labels are deliberately conservative. In production: systems of this kind run in production in projects we delivered. Pilot: ready to prove on your data in a prototype sprint. Emerging: promising, but early for most companies.
Explore AI solutions

  • Sales assistant for model and offer questions

    emerging

    Problem: Buyers ask the same questions about models, equipment, financing and availability, often outside dealer hours.

    Approach: An assistant grounded in approved product and offer data that answers, compares models and books a test drive or dealer callback.

  • Lead qualification and routing

    pilot

    Problem: Dealers receive unqualified or duplicated leads without context.

    Approach: AI classifies intent and urgency from forms and conversations and routes the lead with a summary to the right dealer in the CRM.

  • Product content at scale

    pilot

    Problem: Model pages, promotions and local campaigns need constant updates across many pages.

    Approach: Content generated from structured specification data in the brand voice, with human approval before publishing.

Not sure where to start? An AI Opportunity Scan ranks use cases by value and risk, or take the free AI assessment.

Proof

Automotive case studies

Filter all case studies →
Dacia project key visual

Dacia · Automotive

Dacia: online car sales platform with an end-to-end reservation flow

Read the case study →
Renault Romania project key visual

Renault Romania · Automotive

+20% website traffic

Renault.ro: new website launched in 3.5 months, with 20% more traffic after three months

Read the case study →

Insights

Reading for automotive leaders

Automotive: frequently asked questions

Talk to our automotive team
Can you deliver a local website on our group's global template?

Yes. We rebuilt renault.ro on Renault's international CMS platform in three and a half months, reduced more than 2,000 legacy pages to about 200 and wrote an SEO guide other countries adopted as a model. Traffic grew 20% in the first three months after launch.

Can buyers really purchase or reserve a car online?

Yes. On vanzari.dacia.ro, Dacia's official online sales platform in Romania, customers explore in-stock cars with real colour renders, reserve one online and the dealer is notified. A Car Ingestion Engine generates more than 100 specifications and images per model. Financing, trade-in and delivery then continue with the dealer.

How do you improve dealer lead management?

We map every lead source, define what a qualified lead is, then set up scoring, routing and follow-up rules in the CRM so dealers receive complete leads quickly. Reporting then shows which campaigns and dealers convert, not just how many forms were submitted.

Where does AI make sense for an automotive brand today?

The most practical starting points are lead qualification and routing, product content generated from specification data with human approval, and assistants that answer model and offer questions. We recommend starting with an AI Opportunity Scan to rank use cases by value and data readiness.

How long have you worked with automotive brands?

Grapefruit has a 20-year digital partnership with Dacia, covering the online sales platform, financing and roadside assistance portals and ongoing management of dacia.ro, and rebuilt renault.ro for Renault. That continuity means we understand group processes, dealer realities and how launches are run.

Talk to our automotive team

Share your challenge and timeline. A senior specialist who knows your sector replies with a clear next step.

Talk to our automotive teamBook a 30-min call

We reply within 1 business day, usually the same day. Not ready to talk? Take the free AI assessment.