Established a Retail Growth Channel
Created a clear customer journey that turns local discovery into service exploration and appointment intent.
Case study · 2026
Lake City Auto and Body
A two-week engagement that opened a new retail growth channel, strengthened local market visibility, and gave customers a direct path from discovery to appointment.
The commercial context, strategic mandate, transformation delivered, and measurable change.
Executive Summary
Lake City Auto and Body was an established Denton automotive business with a strong fleet and commercial customer base, but retail growth depended largely on existing relationships and manual phone inquiries. Customers had no consistent way to discover the full service offering, assess the business, or request an appointment outside operating hours. BODHI IQ designed and executed a two-week business transformation focused on opening a dependable retail acquisition channel. The engagement unified the company’s market identity, clarified its Auto Repair and Body Shop services, restored local search visibility, introduced always-available appointment requests, and established performance measurement for future decisions. Within the first sixty days, revenue increased 21% and organic calls increased 150%. More importantly, the business moved from a fleet-led operating model with limited consumer reach to a customer-first brand that can attract, convert, and serve retail demand at scale. The new foundation also prepares the company for subsequent AI-assisted reception, lead qualification, reputation, and marketing automation.
Business Challenges
Retail customers had no reliable way to discover, evaluate, or engage with the business before calling.
A fleet-focused market position constrained awareness and growth among local vehicle owners.
Customer acquisition depended heavily on manual phone inquiries during operating hours.
An inconsistent customer-facing identity weakened trust across the Auto Repair and Body Shop divisions.
Inactive local search visibility allowed nearby demand to flow toward better-positioned competitors.
Leadership lacked clear performance data to evaluate customer acquisition and guide investment.
Business Objectives
Establish a trusted retail presence without weakening the existing fleet business.
Create a direct, always-available path for customers to request appointments.
Increase qualified discovery across local search and maps.
Build confidence before a customer’s first call or visit.
Give leadership visibility into acquisition and engagement performance.
Create a scalable foundation for sustained growth and future AI automation.
Strategic Initiatives
Created a clear customer journey that turns local discovery into service exploration and appointment intent.
Unified the business identity and service story across customer touchpoints to improve confidence before first contact.
Recovered and repositioned the company’s local presence so nearby customers could find the right division and service.
Introduced an always-available appointment request path that no longer depends solely on live phone availability.
Established measurement across customer discovery and engagement so leadership can make informed growth decisions.
Built an operating foundation ready for AI reception, lead qualification, reputation, and marketing automation.
Business Transformation
Retail customers had limited opportunities to discover or engage with the business.
Customers can find the company, understand its services, and request an appointment at any time.
The business lacked a consistent customer-facing identity across its two divisions.
Customers experience one credible, professional brand from first discovery through service selection.
Growth relied heavily on fleet relationships, referrals, and manual phone inquiries.
The business operates an active retail acquisition channel alongside its established commercial base.
Local search presence was inactive, fragmented, and unable to compete for nearby demand.
The company has a measurable presence across search and maps for both repair and body services.
Leadership had little data connecting market activity to customer engagement.
Performance signals now support informed decisions about acquisition, services, and future investment.
Business Impact
The operating model, delivery sequence, supporting platform, and roadmap for the next growth phase.
Transformation Architecture
A simple path connects customer demand to operational follow-up and management visibility.
Implementation Timeline
Technology Platform
Technology was selected to support speed, reliability, measurement, and future automation, not to add unnecessary complexity.
Future Roadmap
The initial engagement established the customer acquisition and measurement foundation. Each next phase extends availability, responsiveness, and operating leverage without replacing what is already working.
Whether you need more customers, less busywork, or a better website, we can help you plan the next step clearly.