IDS Case Study: Predicting Farming Equipment Failures

By Keiter CPAs

IDS Case Study: Predicting Farming Equipment Failures

Can I Predict and Avoid Equipment Failure?

Data Science can help you achieve your business goals with tailored advice specific to your organization. Learn more about how Keiter Data Solutions solved a similar problem for one of our clients in the below case study.


Challenge and Opportunity

A farming cooperative wanted to develop a model that could predict when its equipment needed maintenance service to avoid lost revenues from breakdowns or failure.



  • The team carefully analyzed the maintenance schedules, recent repairs, brands, and usage hours from all existing equipment.
  • Using Python, the team developed a predictive model which specifically outlined when equipment would need repair or maintenance based on the EC unit.
  • The development of the model required extensive collaboration between the company’s field crews and our data scientist.


The model successfully predicted construction equipment maintenance needs and reduced unpredictable equipment failure (like onsite ones) rates by 90 percent. This resulted in decreased cost for the company.


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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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The information contained within this article is provided for informational purposes only and is current as of the date published. Online readers are advised not to act upon this information without seeking the service of a professional accountant, as this article is not a substitute for obtaining accounting, tax, or financial advice from a professional accountant.


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