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NSS

A comprehensive equipment fleet management system

NSS — Construction and services for the oil and gas industry
IndustryConstruction and services for the oil and gas industry
ScaleOver 1,000 units of equipment across multiple projects
GoalImplementing a turnkey comprehensive fleet management system

NefteStroyService Ltd. is one of the largest construction and service companies in Western Kazakhstan. It provides a full service cycle: from construction and capital repairs to maintenance of oil and gas facilities.

01

Client context

  • A large fleet of equipment across various types and categories
  • A broad geography of projects and bases
  • A complex structure of divisions and contractors
  • A high share of manual processes and Excel spreadsheets
02

Operational challenges

  • Difficult to monitor equipment condition, location and workload
  • Maintenance schedule violations led to downtime and breakdowns
  • No unified record of spare parts and materials across sites
  • No unified history of requests, repairs, approvals and downtime
03

What was implemented

  • Integration with GPS and fuel-level sensor (ДУТ) devices
  • Detailed registration of the entire equipment fleet
  • Maintenance schedule based on mileage and regulation control
  • Defect log and work-order module
  • Repair provisioning (inventory requests, warehouse)
  • A mobile app for drivers and technical staff
  • Manager and dispatcher dashboards, KPI analytics
  • Integration with 1C: end-to-end expense tracking
04

What became manageable

  • A unified digital loop for fleet management
  • Full transparency of repairs, downtime and costs
  • Maintenance discipline and reduced breakdown rate
  • Control over equipment workload and allocation across projects
  • End-to-end analysis of utilization and project cost
  • A digital and transparent inventory-provisioning process
Results achieved
−82
Units of equipment — based on redundancy analysis (this is only the beginning)
−14%
Fuel consumption — thanks to automatic overspend alerts and analytics
−23%
Reduced downtime — through even workload distribution and system-based requests
8 → 2
Reduction of average repair downtime from 8 to 2 days
15%
Improved maintenance discipline; scheduled-maintenance failures reduced through mileage-based forecasting and alerts
85%
False fuel-theft alerts reduced through fuel-sensor calibration and improved algorithms

Result: A unified digital loop for fleet management, a 23% reduction in downtime, and average repair time cut from 8 to 2 days.

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