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Creating Transparency and Consistency Across Multi-Location Dealerships with AI Call Intelligence

  • Writer: ChatrHub
    ChatrHub
  • 4 days ago
  • 2 min read

Updated: 16 hours ago

Summary:

  • 60%+ increase in call-to-appointment rates across all stores.

  • Real-time dashboards and CRM integration for accurate reporting.

  • QA team reduced while achieving 100% call coverage.

  • Standardized metrics enabled consistent performance across brands.


Challenges:

A large dealership group with multiple locations and brands faced a common but costly problem:


  • Inconsistent Performance Across Stores:

    • Each location had its own way of qualifying buyers and booking appointments, making it hard for leadership to compare results.


  • Limited Visibility:

    • Executives couldn’t see in real-time how many true sales opportunities were being generated across their entire network, or how those broke down between new and used vehicles.


  • Manual QA Bottlenecks:

    • Quality assurance teams spent countless hours listening to calls, but results varied by reviewer, location and often missed key insights.


  • Missed Appointments:

    • Without a standardized process, call-to-appointment rates varied widely between employees, stores and brands, leaving money on the table.

Creating Transparency and Consistency Across Multi-Location Dealerships with AI Call Intelligence

Solution - AI Call Intelligence:

By implementing ChatrHub, the dealership group gained a unified system that worked across all locations and brands. The platform automatically delivered:


  • Automated Conversion Tracking:

    Real-time dashboards showed total opportunities by brand, store, and rep — with breakdowns of new vs. used vehicles and whether an appointment was booked.  No need to rely on employee inputs into your CRM.


  • Standardized QA:

    Instead of relying on manual review, the AI automatically evaluated every call to confirm if scripts were followed and if buyers were qualified.


  • Consistency Across Employees:

    Every rep, regardless of store, received the same feedback loop, ensuring best practices were applied across the entire dealership group.


  • Automated Notes and Insights:

    ChatrHub automatically summarized the call notes and extracted key details (buyer intent, budget, vehicle type, timeline) which was automatically pushed to their CRM.  


Results:

  • Over a 60% Increase in Call-to-Appointment Conversion across all brands and stores.


  • Clear, Consistent Reporting: ChatrHub integrated with their  CRM to make sure each interaction was logged and updated correctly everytime


  • Reduced QA Costs: The dealership group was able to downsize its manual QA team while increasing call coverage from 10–20% to 100% of calls analyzed.


  • Scalable Growth: With standardized performance metrics, leadership could compare stores fairly, replicate best practices, and improve consistency across the group.


Conclusion

For multi-location dealerships, ChatrHub's AI call intelligence transforms the way groups manage performance. Instead of relying on fragmented reporting and inconsistent QA, leaders now have transparent, consistent insights across every store, brand, and employee. The result? A scalable system that drives higher appointment rates, more sales opportunities, and stronger group-wide performance.


Transform the way you manage performance.



 
 
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