Automotive software development for dealer platforms

Your dealer platform, with AI that knows what is on the lot today.

For dealer CRM, website and inventory platforms with paying dealers. We build it on each dealer's own stock, leads and branding, and ship it to your cloud under your name, as a feature you can price per rooftop.

  • Answers only from each dealer's live inventory
  • Leads land in each dealer's own CRM
  • Each dealer's shoppers and stock kept apart

Three ways to start, from $5,000: Build Sprint · Planning Sprint · AI Scorecard

app.lotline.example / pinecrest-rv / chats

Pinecrest RV and Marine · Website chats

AI answered
Shopper · asked aboutUnitsStatus
Dana K. · Bunkhouse, half ton truck2Ready for sales
Luis M. · 22 ft pontoon1Ready for sales
Priya S. · Used SUV under $25k0No match

Pinecrest Assistant

2 shoppers asked to see a unit in today's feed

  • Towing checked by a tool
  • 1 chat with no matching unit

Leads ready for the CRM

Dana K.: 2025 Bramblewood 26BH, Saturday 10:00 viewing. Luis M.: water test of the 22 ft pontoon.

Open chatsSend to the CRM

Lotly by Datics AI · Try it step by step →

Illustrative demo on a fictional dealership. Not client work.

Why dealer platforms stall on AI

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

  1. 01

    AI that invents stock or prices

    Answers from the live feed only

    Recommendations come only from each dealer's inventory feed, and the assistant does not answer confidently when search finds nothing.

  2. 02

    Every dealer's feed is different, and it changes hourly

    Hourly sync, only what changed

    Feeds are normalized per dealer and re-indexed every hour, touching only the units whose content changed.

  3. 03

    One dealer must never see another's shoppers

    Isolation by dealer and brand

    Each dealer's inventory, website, branding and leads stay separate, across every brand you run.

  4. 04

    Leads stuck in a chat window

    Leads into the CRM dealers use

    Leads and appointments go to your CRM, and leads on to dealer CRMs such as VinSolutions, DealerSocket, DP360 and Lightspeed.

  5. 05

    A live platform cannot pause for a rewrite

    Module by module, in production

    We have rebuilt a live dealer portal one module at a time while dealers kept using it every day.

Why AI earns its place in your product

Sell more units

Shoppers matched to real stock.

Shoppers find a unit that fits, and the salesperson gets the lead with the conversation.

Keep dealers

A feature they use every day.

AI under your brand, on their own inventory, in the screens they open each morning.

Pass review

Made for dealer data rules.

Each dealer's data kept apart, people approve what is sent, and cost tracked per conversation.

Modules by Datics AI

Start from AI we have already built, not from zero.

Each module runs on a fictional dealership, so you can see it before you buy. Each one builds on AI and dealer data work we have already delivered.

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

    Fits: Dealer website and digital retail platforms, dealer CRMs, RV, marine, powersports and car dealer software

  • Every shopper reaches the right salesperson, with the first message drafted.

    Fits: Dealer CRM and engagement platforms, BDC software, dealer marketing platforms

  • Managers ask which units are aging against nearby lots, and get the answer with the data.

    Fits: Inventory and market data products, dealer CRMs with inventory, dealer group reporting

  • Only the accessories and packages that fit the unit on the screen.

    Fits: Dealer website platforms, parts and service software, RV and powersports dealer tools

  • Salespeople and BDC agents practice the call before the real one, scored on the dealer's own process.

    Fits: Dealer CRM and BDC platforms, dealer training products, dealer groups

  • Your platform connected to the CRMs, DMS, feeds and messaging tools on every dealer's desk.

    Fits: Any dealer software that needs data from dealer systems

Also for your product

Your product, inside Claude and ChatGPT.

We build a connector so your users can ask their own AI assistant about their data in your product, each signed in with their own login and seeing only what they can already see. It starts read-only, only the fields you approve leave your product, and actions each user approves can come later.

How we build connectors
Illustrative example · A service manager, in ChatGPT

Which customers are overdue for a service follow-up this week?

Eleven, sorted by visit date, with the advisor who last spoke to each.

Proof

Our dealership work.

Dealer products we have built, modernized and shipped AI into.

57 featured AI case studies across our work

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

Coast Technology

Dealer CRM · Shopper data

Dealers see who shopped them online and push each lead to their CRM

Shopper data, messaging and CRMs sat in separate tools. Now dealers see each shopper in one profile and send an email, a text or a CRM lead.

Data foundationIntegrationsActs in the workflow
Read case study

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

More dealer platform work

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

Coast Technology

Dealer CRM · Platform modernization

Dealers kept using their portal daily while we rebuilt it module by module

Dealers relied on a portal run on per dealer scripts. We rebuilt it module by module while they worked, and grew it into a CRM and more.

ModernizationInside a live productMulti-tenant
Read case study

Dealership call center operator

BDC software · Performance

A dealer call center's slow app traced to its queries and fixed

Dashboards and call logs had slowed on the app agents and payroll depend on. We traced the causes in code and servers, then shipped the fixes.

ModernizationData foundationInside a live product
Read case study
  • “The project was flawless and they were a joy to work with.”

    Rich DeLancey · Co-Founder and CIO, Coast Technology

    See the work
  • “Strongly recommend working with Umair and his team. Brings multiple ideas to the table to help bring a vision to life.”

    Jim Jabaay · Founder, Apex

    See the work
See all our AI case studies

How it works

Three ways to start, each at a fixed price.

A 30-minute review tells you which one fits. Whichever you pick, you know the production price before you commit, and your fee counts toward it.

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 · Leadly · Marketly · Fitly · Pitchly

  • 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.

Need integrations first? Dealer integrations covers CRMs, DMS, feeds and messaging. Ask in the Product Review.

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

In AI and data since2018

  • AWS: Select Tier Partner
  • Anthropic: Partner · Claude models
  • CopilotKit: Agent user interface
  • LangGraph: Production agent engineering
  • Databricks: Governed AI & agent workflows
  • Cursor: Agentic development environment
  • Microsoft Azure: Production AI delivery
  • Google Cloud: Production AI delivery

AI shipped inside products for

Peerlogic logoAMove logoDealership Toolkit logoIdeeza logoRVP Pricing Tool logo

Questions we hear on the first call

Straight answers before you book.

The questions dealer software product and engineering leaders ask most.

How do you stop the AI offering a unit that already sold?

It recommends only units in the dealer's current feed, which syncs every hour, and it does not answer confidently when search finds nothing. Prices, towing and payment figures come from the feed and from tools, never from the model's memory.

Can each dealer and each white label brand have its own assistant and data?

Yes. Each dealer's inventory, website, branding and leads stay separate, and several brands can run from one codebase.

Which CRMs, DMS and feeds do you work with?

We have connected a live dealer platform to VinSolutions, DealerSocket, DP360, Drive Centric, Lightspeed EVO and other CRM and DMS systems, to messaging through Twilio, Mailgun, Mailjet and Volie, and to pixel, geo fence, Lead Post, FTP and inventory feeds. We scope yours in the Product Review.

Can it run in our own cloud account?

Yes. That is the default: we build and run it in your AWS or Google Cloud account, and the dealer sales assistant we built runs in production in its client's own AWS account.

What does it cost to run per dealer?

Every Build Sprint ends with the cost to serve per dealer or per conversation, on two models, and each module logs token use per conversation, so cost stays predictable.

Do you need our dealers' customer data in the Sprint?

No. Sprints run on test inventory and synthetic shoppers, in your staging, and code reaches your product as pull requests.

Why not build it with our own team?

Your team can build a demo. Shipping it across every dealer's feed, inside your tenancy, tested on real shopper questions, with a cost per dealer, is what we do, starting from engines we have already delivered. Your team reviews every pull request, and the code lives in your repository.

How do you choose an automotive software development company?

Look for a team that has shipped into live dealer platforms: inventory feeds that change every hour, dealer CRMs and DMS, white label brands and many rooftops on one codebase. Ask to see work in production, who owns the code, how changes reach your repository and what it costs to run per dealer. We answer each of these in the Product Review, with the work behind it.

Who owns the code?

What we build for your product lives in your repository and ships under your name. The reusable engine underneath stays ours and is licensed to you; the terms are in your contract.

Do you have SOC 2?

Not yet. We work in your staging by pull request, under your accounts, and in production only through access you grant and can revoke.

Where are you based?

Datics is headquartered in Austin, Texas, with a named lead engineer and US-hours overlap on every engagement.

Automotive insights

How we think about the hard parts.

Answers for product and engineering leaders, from the team that builds it.

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.

Own several dealer software products? Datics for private equity 

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