Automotive retail · decision intelligence

Turn dealership data into measurable retail outcomes.

AutocentrIQ helps dealer groups understand why gross, turn, utilization, and retention move—then identify, execute, and measure the decisions that improve them across every store.

Book a working session Walk the platform
Signal to outcome
Shared context Governed decisions Measured impact

Built for

Franchise dealers Dealer groups Independent retail OEM networks Fleet & lease Powersports

The platform · how it works

From raw data to decisions that learn.

One governed intelligence layer connects dealership systems, builds shared operating context, and closes the loop from signal to financial result.

01 / 06

Connected sources

Connect DMS, CRM, inventory, market data, service repair orders, and financial signals into one governed foundation.

Illustrative product view
Governed foundation6 sources connected
DMSDeals · ROs · parts
CRMLeads · appointments
INVVIN · age · cost
AutocentrIQUnified context
MKTPrice · demand
SVCRO · capacity
FINGross · cash flow
Normalized Governed Ready

Outcome Machines

Built for how automotive retail actually runs.

The digital twin speaks VINs, deals, repair orders, lenders, and locations. Each Outcome Machine turns that shared context into a focused operating loop.

01 / Application

Inventory & appraisal

Every unit acquired, priced, positioned, and turned on evidence.

  • Appraisal guidanceValue each trade against real local retail odds.
  • Aged-unit repricingHold, cut, transfer, or wholesale before gross disappears.
  • Acquisition sourcingBuy the units each market is most likely to retail.

02 / Application

New vehicle & OEM

Allocation, stocking mix, and incentives decided with local demand.

  • Stocking mixOrder to store-level demand, not last year's average.
  • Incentive allocationPlace support where it is most likely to move metal.
  • Days-supply balancingTrade units between stores before they age.

Why it compounds

Every decision, outcome, and operator correction improves the shared model—making strong judgment available across every store.

Model→Decide→Measure→Learn↻

Measured in the business

Better decisions should change the operating outcome.

01

Gross

Protect margin through better pricing, appraisal, work, and spend decisions.

02

Turn

Move inventory and demand sooner, before age and carrying cost compound.

03

Utilization

Match service demand, technician capacity, and parts availability.

04

Retention

Act on customer lifecycle signals while the opportunity is still recoverable.

Governed from the start

Every decision needs a clear line of accountability.

Each implementation defines what AutocentrIQ may recommend, what requires approval, and what can run inside agreed limits.

G—01

Control

Roles, permissions, thresholds, budgets, channel rules, and human override.

G—02

Explain

Decision rationale, source context, action history, and outcome attribution.

G—03

Approve

Human review for sensitive or high-impact decisions before execution.

G—04

Audit

A traceable record from operating signal through action and measured result.

A practical first step

Start with one measurable outcome.

  1. 01

    Choose one store or one use case.

  2. 02

    Map the data, decision, baseline, and operator.

  3. 03

    Define the first production loop and how value will be measured.

Get started

See every store as a living model.

Bring one store or one use case. In a focused working session, we will sketch the digital twin behind it and identify where the first measurable outcome can come from.

Book a working session