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CASE STUDY   •   CALIBER COLLISION
Optimizing Human Capital Allocation:
Through AI-Driven Solutions

NexStratus leveraged Caliber Collision's existing Enterprise Resource Management (ERM) system to improve the allocation and efficiency of human resources across all outlets.

3 min read

10% Increase

in production
capacity

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4 Weeks

project
engagement

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30% Decrease

in machine
downtime

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Caliber Collision, a leading automotive repair company with outlets across the United States, recognized the importance of efficiently allocating service people to its outlets to optimize human and capital resources. In partnership with NexStratus Consulting, Caliber Collision embarked on a journey to evaluate its end-to-end procurement of service people and leverage AI-driven solutions to enhance its internal Enterprise Resource Management (ERM) system.

BACKGROUND
OBJECTIVE

NexStratus was tasked with evaluating Caliber Collision's procurement process for
service people and identifying opportunities to optimize human capital allocation across outlets. The objective was to ensure that the right service people were assigned to the right outlets at the right time, maximizing efficiency and resource utilization.

Custom AI Development

Using the existing ERM system, NexStratus implemented AI-driven solutions to positively impact profit and leadership. 

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APPROACH
1

End-To-End Procurement Evaluation

NexStratus conducted a comprehensive assessment of Caliber Collision's end-to-end procurement process for service people, analyzing factors such as recruitment, training, scheduling, and performance management across outlets nationwide.

2

Predictive Modeling

We developed predictive models to forecast inventory shortages and downtime, and implemented machine learning algorithms to analyze machine performance and predict maintenance needs based on key indicators.

3

Geospatial Analysis

To account for variations in inventory demand and machine usage across different geographic locations, we conducted geospatial analysis to identify regional trends and patterns that could impact inventory management and maintenance planning.

Leveraging AI technology to drive innovation and excellence in the automotive repair industry.

RESULTS
1

Efficient Human Capital Allocation

The implementation of AI-driven enhancements to Caliber Collision's ERM system enabled more efficient allocation of service people, optimizing resource utilization and enhancing customer service by matching skills, availability, and proximity.

2

Financial Impact

The business case demonstrated a positive ROI, validating the investment in AI-driven human capital allocation by projecting cost savings, increased productivity, and enhanced customer satisfaction.

3

Operational Efficiency

Optimizing human capital allocation improved operational efficiency, reduced customer wait times, and enhanced service quality across Caliber Collision's outlets, leading to smoother operations and better customer experiences.

4

Organizational Innovation

The successful implementation of AI-driven solutions for human capital allocation showcased Caliber Collision's commitment to innovation and ability to leverage cutting-edge technologies to solve complex business challenges.

NexStratus's partnership with Caliber Collision resulted in the successful
optimization of human capital allocation through AI-driven enhancements to the company's ERM system. By leveraging data analytics and custom AI development, Caliber Collision achieved significant improvements in operational efficiency, resource utilization, and customer satisfaction.

 

The initiative not only delivered a positive financial impact but also demonstrated
Caliber Collision's leadership in leveraging technology to drive innovation and excellence in the automotive repair industry.

CONCLUSION

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Caliber Collision:

Optimizing Human Capital Allocation

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Broan-NuTone:

Reducing Unplanned Downtime by Half

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Caliber Collision:

Optimizing Human Capital Allocation

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Broan-NuTone:

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