Case Study |
AI Consulting for Telecom Service

CLIENT

Telecom Service
Provider

INDUSTRY

Telecommunications

CONSULTANT ROLE

AI Consultant

LOCATION

DACH Region

The Challenge

Enhancing Operations with AI

The client, a telecom service provider, embarked on a digital transformation project to boost operational efficiency using AI.

“The potential rewards were immense, but so were the risks of not getting it right.” — CTO

The client sought an AI consultant to seamlessly integrate AI into their existing systems and create cloud-native applications that were both scalable and secure.

Role of Consultport

Consultport proposed 5 strong consultants within 48 hours. The client interviewed 4 candidates and selected an ex-IBM Senior Consultant with extensive industry expertise and rich AI consulting experiences. The consultant joined the client’s team a week after the initial request.

Approach

Internal Assessment

The consultant analyzed existing datasets to extract insights on customer behavior and network performance. Collaborating with the client, the consultant also conducted company workshops to grasp specific pain points and requirements for different functions.

“The analysis and workshops ensured that the proposed AI applications would meet the client’s requirements and were adaptable to future enhancements.” — AI Consultant

A case study about transforming a telecommunications company through collaboration and cutting-edge AI technologies.

Solution

Cloud-native AI Applications

With a well-defined approach and strong collaborative effort, the consultant and the client’s team successfully developed several cloud-native AI applications used for network optimization, predictive maintenance, energy efficiency and personalized service.

The predictive maintenance application utilized machine learning algorithms to monitor network performance, while another application utilized chatbots to offer tailored customer services.

Results

Future-ready Infrastructure

The test run of the AI-driven applications had shown promising results to significantly boost various aspects of the company’s operations. For instance, the deployment of AI-driven chatbots allowed timely customer services and led to an increase in customer satisfaction.

The cloud-native setup of the AI applications made the company’s infrastructure more agile and scalable, setting the stage for future innovations.