Optimization of Repairs with Artificial Intelligence for La Caja Seguros

Project Summary
LaCaja Seguros, a leader in the insurance sector, faced the challenge ofoptimizing claims management, particularly in the assessment and approval ofrepairs. To improve costs, response times, and customer experience, theyentrusted us with implementing a Machine Learning model called the “RepairValue Predictor” through our technological consulting solutions.
The Challenge
La Caja Seguros needed to:

●     Standardize Repair Costs: Reduce variability inevaluations by standardizing criteria and negotiation ranges.
●     Optimize Budget Utilization: Avoid excessiveexpenses and allocate resources efficiently.
●     Accelerate Approval Times: Improveresponse times to enhance customer experience.

Implemented Solution

We designed and implemented the Machine Learning model “Repair Value Predictor,” which analyzes historical repair data and predicts the cost of new claims. This innovative model, developed using advanced technologies, enables more efficient and accurate management.

Technologies Used

At Voolkia, we utilize advanced tools and frameworks to develop, implement, and optimize solutions that ensure efficiency, scalability, and reliability, tailored to meet diverse project requirements.

Python
Model development and data analysis.
Flask
System implementation for operational environments.
Sklearn
Machine learning model creation and tuning

Key Benefits

Cost Standardization:

●     Provides objective values and acceptable ranges for repairs.
●     Reduces reliance on individual experience and negotiation.
●     Ensures consistency and fairness in estimations..
BudgetOptimization:

●    Accurate predictions enable more effective budget allocation.
●    Reduces unnecessary expenses and improves resource utilization.
Process Acceleration

●     Drastically reduces approval or rejection times for budgets.
●     Significantly improves customer experience.
●     Enhances workload distribution among the team.s and improves resource utilization.

Results Achieved

Through the implementation of advanced AI-driven solutions, the project significantly enhanced operational performance, optimizing budgets, streamlining approval processes, and reducing the need for specialized expertise. These improvements underscore the transformative impact of innovative technologies on business efficiency and customer satisfaction.

15%
Adjustment in Assigned Budget
95%
Reduction in Approval Time
50%
Decrease in Required Expertise

Conclusion

The “Repair ValuePredictor” project transformed La Caja Seguros' repair processes, achieving operational efficiency, cost reduction, and an optimized customer experience.This case highlights how Voolkia's artificial intelligence solutions deliver tangible value to businesses, driving innovation and operational excellence.
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