AI for Automotive

AI for dealer websites

Shoppers ask in their own words. They get real units from today's stock.

For dealer website and digital retail platforms. A branded assistant on each dealer's site that answers only from live inventory, works out towing and payments with tools, and sends leads to the CRM.

Built for: Dealer website platforms, chat and digital retail tools.

Already built or tried AI? Get it scored with the AI Scorecard.

pinecrestrv.example/shop

Pinecrest RV and Marine · Lotly

Demo
  • I have a half ton truck. What travel trailers can I tow for a family of five?

Step 1 of 6

Illustrative demo on a fictional dealership. Not client work.

Where these products get stuck

What gets in the way, and how we handle it.

  1. 01

    Chat that guesses

    Live inventory only

    The assistant recommends only units in today's feed and does not answer confidently when search finds nothing.

  2. 02

    Math the model gets wrong

    Tools, not guesses

    Towing and payment figures are computed by tools from the feed.

  3. 03

    Widgets on sites you do not control

    One embed per dealer

    A branded widget per dealer, with that dealer's inventory, pages and leads only.

Proof

What we have built that this rests on.

57 featured AI case studies: AI products and AI built into live products, each written up on our Work page.

Coast Technology

Dealer websites · AI sales assistant

RV shoppers get units from live stock, with towing fit computed, not guessed

Dealer sites offered static forms and filters. Now shoppers ask in plain words and get real units from the hourly feed, with the reason each one fits.

AI-native productAgentic workflowsProduction AI
Read case study

Apex

Dealer websites · Accessory fitment

A dealer plugin designed to offer only accessories that fit the listed vehicle

Fitment sat on many maker sites in free text; we crawled it into one catalog and designed a one button plugin to match it to listings.

Data foundationIntegrations
Read case study

FLZR

AI engine · Answers from live stock

Shoppers compare products side by side, answered from the seller's live database

Shoppers needed product answers at any hour; now an AI assistant answers from the seller's documents, files and live database, with comparison cards.

AI-native productDocument intelligenceIntegrations
Read case study

How it works

Three ways to start, each at a fixed price.

Most website and digital retail teams start with Lotly in a Build Sprint: inventory answers and leads into the CRM on one dealer's feed.

Dealer Platform Product Review · 30 minutes, no chargeStart here. We look at your platform with you, agree the dealer outcome you want, and tell you which of the three below fits.

Book a 30-minute Product Review

No AI yet, and a module fits

Build Sprint

$10,000 fixed3 weeks

Pick it when: One of our modules delivers the outcome you want.

Lotly · Fitly

  • One dealer outcome (2 to 3 related capabilities) working in your staging, behind a feature flag
  • Pull requests to your repo, built on test inventory and synthetic shoppers
  • Quality and safety evals, the cost per dealer and a packaging recommendation
  • A fixed-price quote for production

Something new, or a plan first

Planning Sprint

$5,000 fixed2 weeks

Pick it when: You need something our modules do not cover, or want a plan before you build.

  • Where AI fits across your platform, including beyond our modules
  • A prioritized capability map, with what each one depends on
  • A readiness review of your architecture, feeds, integrations and permissions
  • A fixed-price quote to build it and take it to production

AI already built or tried

AI Scorecard

$5,000 fixed2 weeks

Pick it when: You have already built or tried an AI feature in your platform, live or not.

  • One AI feature you have built, tested in staging on 50 of your own shopper conversations, with names and contact details removed
  • Tests for sold units, wrong prices, another dealer's stock and prompt injection
  • Cost per dealer and a packaging recommendation
  • A scorecard, ranked fixes, draft security answers and a fixed quote

Not a compliance audit or certification.

How the AI Scorecard works

Production, at a fixed quote

We take what your Sprint built or planned live for your dealers, by pull request, with no standing production access. It typically includes load testing at your peak and a spend cap per dealer. Your Sprint or Scorecard fee counts toward it.

After go-live, optional support

The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model change, and more capabilities, each at its own fixed quote.

Stop after any Sprint and keep what you got.

How a Build Sprint runs

  • In the setup week we map your feeds and integrations and agree what the Sprint touches.
  • We follow your coding standards, tests and CI; your engineers review and merge every pull request.
  • Half at signature, half when the Sprint Pack is delivered.
  • Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.

Product improvements you can measure

What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision to go further is made on evidence.

01

More shoppers become leads

Measure

Conversations that end in a lead or appointment

02

No wrong units or prices

Measure

Answers checked against the feed

03

Predictable cost

Measure

Token cost per conversation

We set the success measures with you in the setup week.

Built for dealer data

Controls your customers' security reviews ask about.

Each control is a design fact about how the module is built and how we work, not a compliance claim.

  • Works with your feeds and CRMs

    Reads inventory feeds, leads and CRM records through the APIs and roles your product already has.

  • Test data in Sprints

    Sprint work uses test inventory and synthetic shoppers and ships as pull requests to your repo.

  • Live stock only, and people send

    Answers come from the dealer's feed; every text or email to a shopper waits for a person.

We work within your FTC Safeguards Rule, TCPA, privacy and dealer data requirements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.

How we handle dealer and shopper data

Questions we hear on the first call

Straight answers before you book.

Does it run on dealer websites we do not host?

Yes. A floating launcher, or an embed on vehicle detail pages that picks up the unit from its stock number.

Can it answer in Spanish?

Yes. English and Spanish.

See it on your own platform.

Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per dealer and what your dealers' data questions will be.

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.