Case Studies | ACF Technologies

Tigo Guatemala - Case Study

Written by ACF Technologies | Sep 23, 2024 4:05:50 PM

Tigo is the leading telecommunications and digital lifestyle company in Guatemala. Founded in 1990 as the country’s first mobile telephony provider, Tigo has played a major role in the development of mobile communications in Guatemala through continuous innovation and investment. Today, the company operates 41 customer service agencies and serves more than 13 million users.

Tigo Guatemala selected ACF Technologies to provide the operational control and visibility tools required to improve customer service management. The ACF platform delivers a user-friendly interface and a comprehensive 360-degree operational view of daily service activities.

When customers enter a store, Tigo agents can use system data and tools to deliver a structured and personalized service experience. Customers join the queue by entering their phone number at a self-service kiosk. This process helps ensure the service experience feels organized and tailored to individual needs.

The system measures wait times, customer arrival volumes, reasons for visits, and service durations. It also provides insight into employee productivity and the most common types of customer inquiries, enabling continuous operational improvements.

ACF Technologies also implemented the Sense Ear recording management service at each service desk. This capability allows conversations to be monitored and recorded, helping Tigo identify opportunities to improve service quality and enhance the customer experience.

The Results

Following the implementation of Q-Flow, Tigo projected a Net Promoter Score (NPS) higher than 65 percent, reflecting a significantly improved customer experience during store visits. Q-Flow has become the operational foundation for reporting and analysis across the business.

Tigo has achieved measurable improvements in several operational areas:

  • Customer visit records are now fully organized and traceable by user.
  • The platform provides visibility into agent productivity and identifies the most suitable agents for each service location.
  • The system improves classification of B2B and B2C customers, helping deliver more tailored service and offers for different customer segments.
  • Customers typically wait no more than 15 minutes per transaction, with a maximum of around 50 minutes during peak demand. This resulted in a 45 percent reduction in waiting time and fewer abandoned visits.
  • Average waiting time has decreased from approximately 25 minutes to under 18 minutes, with the longest queue time typically not exceeding 21 minutes.
  • Improved service efficiency has increased productivity per store and agent to around 85 percent, while staff utilization remains above 95 percent.

The data generated by Q-Flow provides detailed operational insights, including ticket creation, waiting time, service duration, and the classification entered by the service agent. This level of visibility allows Tigo to clearly understand when service occurred, why customers visited, and which staff member assisted each customer.