🩲 SMB · Automotive

Service lane revenue:
+$180K per year.
Zero additional staff.

A single-point franchise dealership was leaving $180K annually in service revenue on the table: customers due for maintenance unreached, declined services untracked, and service advisors spending 40% of their time on manual outreach. The Aizen Event automated the entire service communication and upsell workflow.

$180K
Incremental annual revenue
68%
Service show rate
4.2×
ROI year 1
5wk
Assessment to live
Step 01 · Current State

The workflow before the Aizen Event

6 steps, 40% of advisor time on manual outreach, 22% contact rate on service-due outreach. Declined services rarely re-presented. Revenue visibility poor.

#
Workflow step
Avg. time
Performed by
01
Service due identification
DMS report run manually each Monday. Service manager exports list, prints, distributes to advisors. No prioritization.
90 min
per week
Service Mgr
02
Outreach to due customers
Advisors call from printed list. Low contact rate (22%). No tracking of attempts. Stops after 1 attempt.
8-10 hrs
per week
Service Advisor
03
Appointment scheduling
Customers call in or walk in. Advisor manually checks DMS availability, enters appointment. Low utilization of available slots.
6 min
per booking
Service Advisor
04
Pre-appointment prep
Advisor manually pulls service history the morning of appointment. Often rushed, declined services from last visit missed.
10 min
per RO
Service Advisor
05
Declined service follow-up
Customers who decline recommended services are noted on RO. No systematic follow-up. Revenue lost.
none
systematic
Service Advisor
06
Post-service follow-up
No systematic outreach after service. OEM survey only. Warranty expiration not tracked. No upsell.
none
systematic
Service Mgr
ADVISOR OUTREACH TIME/WEEK
8-10 hours
SERVICE-DUE CONTACT RATE
22%
DECLINED SERVICE RE-PRESENTATION
0%
Step 02 · Aizen Event

Classifying every step.

Each step mapped to an AI type: Deterministic (DMS query, scheduling), Probabilistic (send-time optimization, customer segmentation), or Human (advisor sales conversations). This drives prioritization and build order.

Step AI type Recommendation New state Time saved
01
Service due ID
Manual Monday report export
Deterministic Daily automated DMS query. Segment by service type, urgency, customer value tier. Prioritized list emailed to advisors 7am daily: no Monday export, no printing. ● Automated 90 min/week
02
Outreach to customers
Manual dialing, low contact rate
Probabilistic Multi-touch sequence: email → SMS → AI voice call. Send-time optimized per customer (morning vs. evening). Contact rate 22% → 71%. Fully automated. ● Automated 8–10 hrs/week
03
Appointment scheduling
Manual call entry + DMS lookup
Deterministic Self-service scheduling link in SMS/email. Real-time DMS sync. Confirmation auto-sent. Handles ~60% of bookings. Remaining routed to advisor for complex cases. ● Augmented 4 min per RO
04
Pre-appointment prep
Manual history pull, rushed
Deterministic Night-before: AI-generated customer brief. Last 3 visits, declined services, open recalls, vehicle mileage, likely upsells. 60-second read replaces 10-min manual pull. ● Automated 8 min per RO
05
Declined follow-up
Manual notes, no follow-up
Deterministic 10-day follow-up: personalized SMS with declined service + price + scheduling link. 30-day: reminder if not booked. Tracks conversion. Fully automated. ● Automated previously zero
06
Post-service follow-up
OEM survey only
Deterministic 3-day: satisfaction SMS. 90-day: next service due reminder. 11-month: warranty expiration alert with service offer. Fully automated upsell sequence. ● Automated previously zero
DeterministicRules-based DMS queries and scheduling
ProbabilisticSend-time optimization, customer segmentation
Step 03 · Priority Matrix

What to build first. What to defer.

We plot each step by implementation complexity (X) against business impact (Y). Steps in the top-left are Quick Wins: start here. Top-right are Strategic Investments: build after wins are live.

QUICK WIN STRATEGIC INVESTMENT AUTOMATE LATER AVOID / HUMAN ONLY IMPLEMENTATION COMPLEXITY → BUSINESS IMPACT → 1 3 4 2 5 6 BUILD ORDER: 1,3,4 → 6 → 2,5
QUICK WIN (start here)
1
Due ID automation

Daily DMS query + segmentation. Eliminates 90 min/week printing. Week 1.

3
Scheduling augmentation

Self-service link + DMS sync. Reduces manual entry. Week 1–2.

4
Pre-appt brief

AI-generated customer snapshot. Advisor prep cut from 10 to 1 min.

6
Post-service follow-up

Automated 3–11mo upsell sequence. Quick Win border.

STRATEGIC INVESTMENT
2
AI voice outreach

Highest ROI. 22% → 71% contact. Phase 2. Requires tuning.

5
Declined follow-up

Systematic upsell on declined services. 0% → 18% conversion. Phase 2.

Step 04 · New State

What happened to each step.

The redesigned workflow after the Aizen Event implementation. Every step now has a clear new state showing labor savings and capability expansion.

01
Before
Service due identification
DMS run manually Monday. Export, print, distribute. 90 min/week.
● Automated
Daily automated due list
Automated DMS query runs daily. Segments by service type (oil change, tires, inspections), urgency tier, customer LTV. Prioritized list emailed to advisors 7am. Zero admin labor.
02
Before
Outreach to customers
Advisors call from printed list. 22% contact rate. 8–10 hrs/week.
● Automated
Multi-touch AI voice campaign
Email → SMS → AI voice call. Send-time optimized per customer (AM vs. evening). Contact rate 22% → 71%. Fully automated. Advisors see booked appointments only.
03
Before
Appointment scheduling
Customers call or walk in. Manual DMS check + entry. 6 min per booking.
● Augmented
Self-service + assisted booking
60% of customers book via SMS/email link (real-time DMS sync). 40% routed to advisor for complex cases (trade-in, extended warranty questions). Confirmation auto-sent.
04
Before
Pre-appointment prep
Morning: advisor manually pulls service history. Rushed. Often misses upsell opportunities. 10 min per RO.
● Automated
AI-generated customer brief
Night-before: 60-second read showing last 3 visits, declined services, open recalls, vehicle mileage, recommended service. Advisor opens to prepared context. No manual digging.
05
Before
Declined service follow-up
Customer declines service. Noted on RO. Zero follow-up. Revenue lost forever.
● Automated
Automated declined recovery sequence
10-day post-decline: SMS with service description + price + book link. 30-day: reminder if not booked. Tracks conversion. System now recovers 18% of declined services.
06
Before
Post-service follow-up
OEM survey only. No upsell. Warranty expiration not tracked. Relationship ends at checkout.
● Automated
Post-service engagement sequence
3-day: satisfaction SMS. 90-day: next service due reminder. 11-month: warranty expiration alert + service offer. Systematic customer lifecycle engagement. Auto-drives 15% of service appointments.
Advisor outreach time reduction
8 hours/week ↓ 80%
Service due contact rate
22% → 71% ↑ 3.2×
Step 05 · Investment & ROI

The numbers.

Build cost, deployment timeline, and three-year return: based on typical service lane economics, advisor capacity, and measured upsell conversion post-deployment.

Investment breakdown
Workflow Strategy Sprint (discovery + roadmap)$8,000
Phase 1 build (due ID + scheduling + brief)$18,500
Phase 2 build (outreach AI + declined + post-service)$34,000
DMS integration, testing & tuning$11,000
Total investment$71,500
Year 1 incremental revenue
$180K
Recovered declined services (18% conversion × $6K avg) + increased show rate (22% → 68% contact) + warranty/maintenance upsell.
Payback period
4.8 mo
Full investment recovered within 5 months of live deployment (deployment at week 5 of engagement).
3-year cumulative ROI
$460K
Net of full investment. Includes 7% annual volume growth and ongoing platform maintenance at $18K/yr. Does not include advisor productivity value (8 hrs/week freed).
Secondary outcomes
Advisor time freed: 8 hrs/week for sales & customer experience
CSI scores up 14 points (better prep + follow-up)
Declined service conversion 0% → 18% (new capability)
Service show rate lift: 22% contact → 68% actual service appointments
// Illustrative scenario note

This case study represents a composite of typical SMB auto dealership engagements. Metrics are based on observed service lane benchmarks and comparable dealership implementations. All investment figures are illustrative ranges based on the Otonmi service tiers.

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