Polish Telecom

Increased customer retention and marketing effectiveness.

Go-To-Market

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Technology

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Recommendation Systems

Project Overview

Predictive models reduced customer churn by over 20% and improved campaign conversion rates, generating a 10x ROI.

Layman's Explanation

The AI predicted which customers were likely to leave and suggested personalized offers, helping the company retain more customers and make better sales.

Analogy

In telecom, this AI acts like a radar spotting which "ships" (customers) are drifting away and recommending the best course to bring them back to shore.

Details

AI-generated 360-degree customer views and churn prediction models enabled personalized recommendations, reducing churn and doubling conversion rates across departments.

Project Novelty

AI-based customer views and churn prediction offer valuable insights across departments.

Project Estimates

Timeline:

6 months

Cost:

$200,000

Headcount:

6

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