AI for Automotive

AI on dealer inventory and market data

Market data dealers check every morning, and the AI that stands on it.

For inventory and market data products. Daily public listing data, units matched across lots, and plain English answers managers can act on.

Built for: Market data, pricing and inventory intelligence products for dealers.

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

lotline.example/market

Pinecrest RV and Marine · Marketly

Demo
  • Which units are aging against lots within 100 miles?

Step 1 of 3

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

    Data that decays

    Shared crawler types per site family

    A template change is fixed once for every dealer on that platform.

  2. 02

    Reports nobody reads

    Questions in plain English

    Answered from the data, with the rows shown.

AI inside your product

The modules and services that fit this kind of platform.

Each one is shown on a fictional dealer. It is built into your codebase and ships under your name, on an engine we license to you.

What it connects to: Public listing data from dealer websites and the dealer's own inventory. Sprints use sample data.

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

Market data · Daily capture

Dealers see rival stock, prices and sales daily, captured from many changing websites

Dealers checked rival lots by hand, site by site. Now one engine captures competitor stock daily and the portal compares prices and sends alerts.

Data foundationInside a live productMulti-tenant
Read case study

Coast Technology

Dealer data · Database plan

Three dealer data products mapped into one database, each product's data kept separate

Visitor, location and customer data sat in three products with three databases. We mapped them into one database that keeps each apart.

Data foundationModernizationPermission-aware
Read case study

Cosmic AI

AI engine · Plain English analytics

Business teams ask their databases plain English questions without data leaving their network

Answers used to wait on an analyst. Now teams ask in plain English, and the copilot answers inside their network with the SQL shown.

AI-native productAgentic workflowsRuns in client cloud
Read case study

How it works

Three ways to start, each at a fixed price.

Most market data teams start with a Planning Sprint, to agree which questions managers ask first and what the data can answer today.

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.

Marketly

  • 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

Aging units acted on sooner

Measure

Days on lot for flagged units

02

Prices in line with the market

Measure

Units priced above the nearby average

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

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.