Softweb Solutions Inc.

Case Study

 

Transforming Field Service Using Predictive Maintenance

A renowned manufacturer of business processing machines was looking to improve its offerings to its customers – retailers, vending companies, and government agencies, to tackle the rising maintenance costs and calculate the efficiency of its field workers.

“Field service organizations will purchase 53 million tablets in 2016 and 2/3rds of the mobile workforce will own a smartphone, 40 per cent of the workforce will be mobile” -Gartner

With the help of Python and Power BI, Softweb Solutions analyzed the client’s historical data and created mathematical models to predict machine breakdown, save time on resource allocation and improve customer satisfaction.

Benefits:

  • Failure prediction
  • Inventory acquisition
  • Service time prediction
  • Smart allocation of resources
  • Increased customer satisfaction
  • Reduced maintenance costs and time
  • Better PMP call service management helps predict emergency calls

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