Case Study: Telecommunications Industry

Optimizing service proposals to customers by leveraging AI to reduce dependency on individual staff skills.

In existing service proposal activities, a key challenge was that the content of proposals and target selection relied too heavily on the individual skills of each representative. At the same time, while companies possessed vast amounts of accumulated historical data and development resources, they were not being utilized sufficiently. By building a system that learns, from this customer data, the patterns of customers who signed contracts and prioritizes proposal activities accordingly, we increased revenue.

■ AI Utilization in Customer Targeting

• Built a model that uses AI to learn the patterns of customers who closed deals and predicts which customers are likely to convert in the future.

■ Big Data Processing and Analysis

• Identified basic trends through fundamental aggregation of customer data.

■ Business Translation

• Translated business challenges faced by field representatives into data science tasks for developers.