Crestline Auto Group — Future State

Future State · Vehicle Lifecycle

Reconditioning & Sales Process

The same five functional areas — restructured around the locked strategy: working families and single-income buyers in the Akron/Canton metro, $10K–$18K, won through recon speed, transparent dealing, and a reputation that compounds. Green indicates a resolved gap. Teal indicates a new or significantly improved step.

Vehicle Lifecycle · Acquisition → Recon → Lot → SaleFuture State

Owner /
Management

Source vehicle
(auction / trade-in)

Buying filter: turn-time
+ GPU by type (Ph. 2)

→

Purchase decision

Anchored to strategy
and segment targets

→

Set price & margin

Turn-time data informs
pricing by vehicle type

→

Weekly dashboard
review

IDMS custom reports —
GPU + days-to-sale + leads

Recon
Vendor

Vehicle received

SLA in place — cycle-time
target documented

→

Inspection &
mechanical repair

Priority set by
vehicle type / strategy

→

Vehicle returned
on SLA target

Tracked; consequences
for misses defined

Internal
Ops

Handoff to
recon vendor

GSM owns process;
documented & tracked

→

Detail & photos
(internal)

Scheduled against
recon return date

→

Create listing
(AutoTrader / web)

Standard template;
consistent quality

→

Vehicle on lot

Sales

Lead inquiry
(phone / walk-in / web)

Lindy handles inbound
calls (Ph. 2); all leads
captured in IDMS CRM

→

Sales conversation

CRM-tracked; structured
follow-up workflow active

→

Deal closed;
recorded in IDMS

→

Post-sale follow-up

Automated via IDMS
CRM workflow

Finance /
Flooring

NextGear loan
drawn at purchase

→

Holding cost tracked
per unit per day

Visible in weekly
IDMS dashboard

→

Loan repaid at sale;
true GPU calculated

Holding cost factored
into margin reporting

→

Budget set against
strategy

Anchored to segment
targets and roadmap

What Changed

Recon · Resolved

SLA in place with a documented cycle-time target, internal handoff owned by GSM, and defined consequences for vendor misses. A three-year bottleneck now has a system behind it.

Strategy · Resolved

One-page strategy definition complete — working families and single-income buyers in the Akron/Canton metro, $10K–$18K, won through recon speed, transparent dealing, and a reputation that earns repeat business. Every downstream decision now has an anchor.

Sales · Improved

IDMS CRM activated. Every lead is captured, assigned, and tracked through a follow-up workflow. Post-sale outreach is automated. Conversion is measurable for the first time.

Finance · Improved

Holding cost is visible per unit per day and factored into GPU reporting. Budget is tied to strategy and segment performance rather than prior-year defaults.

Reputation · New

Google Business Profile and Facebook reviews actively solicited via post-sale workflow. NPS tracked in IDMS. Repeat buyer rate measured for the first time — trust is now a metric, not just a value.

AI · Phase 1

Whole-org access to a frontier AI model (ChatGPT Teams or Claude). Basic training, 60-90 day organic pilot. Use cases documented at the end — real adoption from real roles, not a mandated rollout.

AI · Phase 2

Lindy voice agent confirmed by Phase 1 pilot data — not assumed. Buying filter scores acquisition opportunities against segment targets using 60+ days of live turn-time data. Looker Studio activated if IDMS reporting ceiling is reached.

Future State · Technology

Tech Stack — Future State

Phase 1 focuses on activating what Crestline already owns. The same DealerSocket IDMS now does the work of Google Sheets, the absent CRM, and the missing reporting layer. Phase 2 adds the AI layer once the data foundation is solid enough to support it.

DMS · Dealer Managementfully activated

DealerSocket IDMS

CRM module activated. Custom reporting configured for days-to-sale, GPU with holding cost, lead conversion, and recon cycle time. Workflow automation live for follow-up and post-sale.

NextGear Capital

Still separate portal — connected on weekly cadence via scheduled reconciliation into IDMS. Holding cost per unit now visible alongside operational data.

reconciled

CRM · Customer Relationshipactive

IDMS CRM Module

Activated and configured. All leads captured — phone, walk-in, web. Pipeline visible. Follow-up sequences automated. Post-sale workflow running. Conversion tracked.

Gmail (Google Workspace)

Still in use for team communications. Lead follow-up now routes through IDMS CRM workflows rather than individual Gmail threads.

supporting role

Inventory Management

IDMS Inventory Module

Turn-time reporting now configured. Days-to-sale tracked by acquisition source and vehicle type. Recon cycle time monitored against SLA target.

Google Sheets

Retired as an operational workaround. IDMS custom reports now answer the questions Sheets was being used for. Sheets may remain for one-off analysis.

retired

Reporting & Data

IDMS Custom Reports

Phase 1 reporting home. Configured dashboards: days-to-sale by type, true GPU with holding cost, lead-to-close conversion, recon SLA performance, weekly KPI summary.

Looker Studio

Phase 2. Activated if IDMS reporting reaches its ceiling. Free, connects to IDMS exports and NextGear data via Google Sheets bridge. No action in Phase 1.

phase 2

Marketing & Listings

AutoTrader

Lead source performance now tracked against IDMS sales outcomes. Marketing spend evaluated by lead-to-close conversion for the first time.

measured

Facebook Marketplace

Leads routed into IDMS CRM on inquiry. Performance tracked alongside AutoTrader for channel comparison.

Dealer Website

Google Analytics connected to IDMS lead tracking. Website inquiries captured as CRM records automatically.

AI Layerphased

Frontier AI Model — Thought Partner (Phase 1)

Whole-org access to ChatGPT Teams or Claude — determined by owner preference and Google Workspace alignment. Basic training provided. 60-90 day pilot, organic adoption, no mandated use cases. Use cases collected at end of pilot inform Phase 2 planning. Efficiency-first: AI helps the existing team do their jobs better.

phase 1

AI Buying Filter (Phase 2)

Scores acquisition opportunities by projected days-to-sale and expected GPU by vehicle type — built on 60+ days of live turn-time data from Phase 1. Informs auction buying decisions against segment targets.

phase 2

Lindy Voice Agent (Phase 2)

Deployed only after Phase 1 pilot confirms inbound call volume and lead follow-up are the right problems to address with AI. Handles inbound qualification, outbound follow-up calls, routes to sales staff. Logs to IDMS CRM. Not assumed — triggered by pilot data and owner decision.

phase 2

Operationally Critical Vendors — Future State Same vendors — managed differently

Recon Vendor

SLA in place. Cycle-time target documented. Performance tracked in IDMS. GSM owns the relationship with defined escalation for repeated misses.

managed

AutoTrader

Performance measured against IDMS sales outcomes. Spend evaluated quarterly against lead-to-close conversion. Owner makes data-informed channel decisions.

measured

NextGear Capital

Relationship reviewed against inventory turn data. Floorplan strategy aligned with buying filter output — capital flows toward faster-turning segments.

strategic

Integration Map — Future State Connections

Connected — data flows automatically into IDMS

Partial — scheduled reconciliation cadence

Phase 2 — AI layer, activated after data foundation is solid

Future State · Information Architecture

Data Flow — Future State

Every data source now connects to a decision. Lead data flows into CRM. Turn-time feeds buying decisions. Holding cost is visible alongside GPU. The business is running on information instead of instinct.

Data Sources → Storage → Processing → DecisionsFuture State

Data Sources

Auction Purchase

Vehicle, price, source type

↓

Trade-In

Vehicle, condition, value

↓

Customer Inquiry

Phone (Lindy) · walk-in · web

↓

Vehicle Sale

Deal terms · true GPU · unit

↓

NextGear Loan

Per-unit cost · days held

Where It's Stored

IDMS — Inventory

VIN · recon status · days-to-sale · SLA tracking

↓

IDMS — CRM

All leads · pipeline · follow-up status · conversion

↓

IDMS — Sales

Deal records · GPU · source attribution

↓

IDMS — Reporting

Custom dashboards · KPI summary · weekly view

↓

NextGear (reconciled)

Weekly import → holding cost per unit per day

How It's Processed

IDMS Custom Reports

Automated weekly dashboard — no manual pull

↓

Days-to-Sale Analysis

By source type and vehicle category — live

↓

True GPU Calculation

GPU minus holding cost — per unit, per segment

↓

Lead Conversion Tracking

Source → inquiry → deal — full funnel visible

↓

AI Buying Filter (Ph. 2)

Scores opportunities by projected turn + GPU

Decisions It Drives

✓ Buying decisions anchored to turn-time data by vehicle type and source

↓

✓ Recon priority set by vehicle type and strategic segment — not first-in, first-out

↓

✓ True margin visible per unit — pricing informed by actual holding cost

↓

✓ Marketing spend evaluated by channel — owner decides where to double down

↓

✓ Budget tied to strategy — allocated by segment performance, not last year

What the Data Now Drives

Buying Decisions

Turn-time by vehicle type and source is live. Auction buying is now scored against projected days-to-sale and expected GPU — not gut feel and price availability.

Recon Priority

The recon vendor now operates against a cycle-time SLA calibrated to vehicle segment. Higher-margin, faster-turning inventory gets prioritized — not just whatever arrived first.

True Margin Visibility

GPU is now calculated with holding cost factored in. The three-year recon delay finally has a dollar figure attached to it — and that figure informs every conversation with the vendor.

Lead Funnel

Every inquiry is captured, tracked, and attributed to a source. For the first time, Crestline can see which channels produce closed deals — not just which ones produce leads.

Future State · People & Resources

Organization & Budget — Future State

Same 14 people. Roles realigned to match the strategy — winning working families and single-income buyers in the Akron/Canton metro through recon speed, transparent dealing, and a reputation that earns repeat business. The owner's time shifts from operational management to strategy and buying. The receptionist's capacity, freed by Lindy in Phase 2, shifts toward CRM coordination and lead follow-up.

Organizational Structure · 14 Employees — Realigned Future State

What Changed Organizationally

Owner Load · Reduced

Owner no longer owns reporting, CRM management, or day-to-day recon coordination. Freed to focus on strategy, buying, and key vendor relationships — what only the owner can do.

Recon Ownership · Formalized

GSM formally owns the recon process with a defined SLA, cycle-time targets, and escalation authority. The three-year pattern now has an internal owner and an external contract.

Receptionist → Lead Coordinator

Role evolves from call routing and scheduling to CRM management and lead follow-up coordination. Inbound call volume absorbed by Lindy in Phase 2 — capacity shifts to higher-value work.

Lindy · Phase 2

AI voice agent handles inbound qualification and outbound follow-up. Not a headcount decision — an availability and throughput decision. Owner decides how the freed capacity is deployed.

Budget Allocation · Current vs. Future State

Estimated Allocation as % of Operating Budget Future state is directional — owner decisions on marketing and staffing affect final numbers

Category	Current	Future	What Drives the Shift
Personnel Salaries, commissions, benefits	50%	50%	Role realignment, not headcount reduction. Receptionist capacity shifts to CRM coordination. Owner decides how Lindy-freed capacity is deployed in Phase 2.
Inventory / Floorplan Vehicle acquisition + NextGear interest	25%	22%	Recon SLA reduces average days-to-sale. Less floorplan interest per unit. Same capital working harder across more turns. Buying filter (Ph. 2) directs capital toward fastest-turning segments.
Marketing AutoTrader, Facebook, website	10%	10%*	*Owner decision point. Better conversion means same spend produces more closed deals — or the efficiency gain can be reinvested in higher lead volume. Both are valid strategies.
Facilities / Overhead Lot, utilities, insurance, admin	10%	9%	Minor optimization as operational efficiency improves. No structural change expected.
Technology & Tools IDMS, Google Workspace, listings, AI	5%	9%	IDMS CRM activation, Lindy voice agent (Ph. 2), and Looker Studio if needed (Ph. 2). Modest increase relative to operational gains across inventory turn, lead conversion, and margin visibility.

On marketing spend: Better lead conversion does not automatically mean reduced spend. Once conversion is measurable by channel, the owner can make an informed decision: capture more margin from the same leads, or reinvest efficiency gains into higher lead volume. PDL surfaces the decision — the owner makes it.