IDS Case Study: Increasing Efficiency of Farm Equipment Maintenance

By Keiter CPAs

IDS Case Study: Increasing Efficiency of Farm Equipment Maintenance

Challenge and Opportunity

A retail agricultural cooperative serving the agronomy, energy and farm supply needs of its members and customers across eight states wanted to help its members by creating a tool they could use to predict when its tractors needed maintenance service.

 

Approach

  • The team carefully analyzed the data provided by members of the cooperative regarding the tractor’s maintenance schedules recent repairs, brands, and usage hours.
  • Using Python, the team developed a predictive model which specifically outlined when equipment would need repair or maintenance.
  • The model was created to be easily accessible to the cooperatives over 200,000 farmer-members.

Results

The model successfully predicted tractor maintenance needs and reduced offsite equipment failure rates by 90 percent. This resulted in increased profit for the cooperative’s members.

 

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About the Author


Keiter CPAs

Keiter CPAs

Keiter CPAs is a certified public accounting firm serving the audittax, accounting and consulting needs of businesses and their owners located in Richmond and across Virginia. We focus on serving emerging growth businesses and companies in the financial servicesconstructionreal estatemanufacturingretail & distribution industries and nonprofits. We also provide business valuations and forensic accounting servicesfamily office services, and inbound international services.

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