Case Study: AI in Customer Experience & Telecommunications
Kristjan Jansons | 5. November 2018
In search for a better way to improve the customer experience, Mailiis Ploomann knew that cutting-edge data science would bring new actionable insights to Elisa Estonia AS, a leading telecommunications company in Estonia.
Partnering with MindTitan, Elisa Estonia implemented data science, machine learning models and artificial intelligence powered communication tools throughout parts of the business. As telecommunications is a highly-competitive industry, Elisa Estonia’s aim is to use artificial intelligence to automate part of customer service, while identifying and nurturing highly valuable customer interactions with customer service representatives.
Also, the telecom seeks to better understand how customers feel and experience their service by analyzing the mobile network with the help of an AI model, and how customers perceive their experience of the service. They have deployed AI within network analysis to learn about each customer’s experience, allowing them to become a proactive telecom.
Get deeper insights on how Elisa Estonia and MindTitan deployed AI solutions to improve customer experience.
Download the full case study for free to learn:
The challenges faced by telecoms and managing high volumes of customer contacts
Elisa Estonia’s process in understanding customer interactions with the Value-Irritant matrix by B. Price & D. Jaffe
How deploying intelligent chatbots automated 100% of the online chat process
The implications on sales departments with next-best-offer (NBO) machine learning models
Using data outside of the customer service department, like network event data, to analyze and predict customer behavior
The overall business impacts of every AI model working together
Kristjan has been studying and working on machine learning projects for more than 5 years.
After acquiring a Master’s Degree in Computer Science and Machine Learning, he started working at Milrem Robotics as the Team Lead for Autonomous Vehicles, helping to build self-driving vehicles. Kristjan also has experience in building intelligent systems for data centers, robots and electric formulas; and with computer vision and image recognition. He is especially fascinated by how people from different industries combining their knowledge with data science arrive at new insights and help to accelerate innovation.