Manufacturing

Data Driven Field Service Management Solution impacting massive revenue loss of 100,000 a year on reactive and scheduled services

About the Client

American coin and dollar counting machine manufacturer and distributor serving to 1500+ Banks across North America.

The Challenge

Client was managing Field service for all the Banks based on reactive and scheduled maintenance data. Despite of having 800+ field technicians, client was not able to give Smart Field service to their customers.

  • Most of the inspections and maintenance are still done with pen and paper, putting an undue burden on field technicians to organize and ensure the accuracy of their handwritten results.
  • Audit locations are selected randomly, without considering efficient travel routes, impacting the field technician’s productivity and effectiveness.
  • With around 1500+ sites for various technicians and without data driven prioritization/scheduling, critical maintenance is not addressed in time.

What We Did

  • Data Acquisition
  • Data Cleansing
  • Predictive Analysis
  • Statistical Modelling
  • Clustering
  • Classification
  • Machine Learning
  • Enterprise App Development
  • Data Acquisition
  • Predictive Analysis
  • Data Cleansing
  • Statistical Modelling
  • Clustering
  • Machine Learning
  • Classification
  • Enterprise App Development

The Solution

With predictive analytics and ML based statistical modelling technique, client managed to offer premium SLA with predictive and prescriptive maintenance.

  • Failure Prediction – Predict time of the next machine failure. This will ensure there are fewer emergency calls.
  • Inventory Acquisition Prediction – Predict part(s) that will fail or wear out. The field technician will come over to the call site with the correct spare parts.
  • Service Time Prediction – Predict the time it will take for a technician to complete the call.
  • Smart Allocation – Suggest the most competent technicians for a given service call.

Results & Outcomes

DXFactor developed Smart Filed Service Management with Predictive Maintenance based on historical and real-time data to achieve Zero down time of Machines for all the Banks.

100%

uptime with Smart field services management.

98%

accuracy in predictive maintenance of machine based on data model.

85%

boost in Customer engagement for sign-off with Premium SLA.