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Telecommunications

Optimizing Service Delivery for Telecom Efficiency

How leading North American telecom providers cut rural service delays and travel times with IFS Cloud Service.

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30%

reduction in rural service delays

25%

improvement in SLA compliance

20%

increase in technician productivity

The Challenge

Leading telecom providers across North America were struggling to manage service appointments, technician scheduling, and support, especially in remote and rural areas. The expansion of 5G and fiber-optic infrastructure demanded a streamlined approach to scheduling and dispatch, while still allocating resources efficiently across both dense urban and hard-to-reach rural locations. They needed a solution that could handle capacity, shift management, and operational flexibility all at once.

Specifically, four problems kept surfacing: rural capacity and technician availability (long travel times and booking delays led to poor service), shift flexibility (no way to dynamically adjust shifts by demand, so some techs were overworked and others underused), dispatch inefficiency (extended travel times drove up cost), and SLA management (missed appointments and delayed installs against contracted service levels).

The Approach

Coredrive implemented IFS Cloud Service and tailored it to the specific realities of telecom field operations, not a generic scheduling rollout. The team focused on the hardest part of the problem first: rural capacity. By modeling technician availability against the real travel time required to service remote areas, the system could book appointments based on actual geographic proximity and resource availability rather than a flat calendar.

The Solution

Coredrive delivered a configured IFS Cloud Service environment with:

  • Appointment booking based on rural capacity and availability: dynamically adjusted bookings by analyzing technician availability and travel time, so rural customers got timely service based on geographic proximity and real resource levels.
  • Flexible shift creation and planning: a dynamic shift tool with predictive analytics that anticipated peak service periods and adjusted schedules, balancing technician workloads across regions.
  • Dispatch and route optimization: reduced travel times for technicians servicing rural and hard-to-reach areas.
  • Real-time SLA monitoring: proactive tracking and alerts to hold service-level commitments across varied geographic areas.

The Results

Operational Efficiency

30%

reduction in rural service delays

20%

reduction in travel times

20%

increase in technician productivity

Customer Satisfaction & SLA Compliance

25%

improvement in SLA compliance

Enhanced customer satisfaction

Cost Savings & Workforce Efficiency

15%

reduction in overtime costs

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