Case study 02 | Automotive dealership group

Three dealerships, one AI brain.

A three-rooftop dealership group replaced siloed manual operations with a shared intelligence layer for sales, inventory, service retention, F&I, and management visibility.

Choose a service All case studies

Client profile3 rooftops, 120+ employees

Starting stateLegacy DMS and manual workarounds

Core challengeNo unified operating view across stores

Decision lensConnect existing systems before replacing them

The problem.

Each store operated as its own island. Sales data lived in one system, service records in another, and finance documents were still tied to manual file processes.

Lead response averaged 47 hours, inventory decisions were gut-feel, and leadership had to reconcile store-by-store spreadsheets to understand what was really happening.

What changed.

Lead response dropped to under 60 seconds with AI qualification and routing.
Inventory planning used predictive demand signals instead of gut-feel ordering.
Service retention moved from generic campaigns to personalized AI triggers.
F&I workflows used pre-qualified buyer context to reduce close time.
Management got one dashboard across all three stores.

Result26% increase in lead-to-sale conversion

Result50% reduction in manual admin work

Result$200+ additional profit per vehicle sold

Representative summary. Results depend on store systems, process adoption, data quality, and management follow-through.

Before replacing your tools, map the workflow.

TAG helps identify where AI should connect, where it should wait, and what proof is needed before rollout.

Choose a service All case studies