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Solutions
Personalization AI
Language AI
Forecasting and Planning
Marketing and Sales AI
Anomaly Detection
Foundation Models
AI Agents
Vision AI
Discrete Optimization
Predictive Modeling
Chat LLM
Fraud and Security
View All
MLO
ps
Model Hosting and Data Pipelines
Drift, Observability and Explainability
Real Time ML Feature Store
Vector Matching Engine
Human-AI Champion-Challenger
View All
Research
Company
About Us
Culture
Press
Case Studies
Jobs
Blog
Log In
Case Studies
ALL CASE STUDIES
Financial services
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Software
Large Audio Books Publisher
Abacus.AI reduced customer churn by identifying customers most likely to churn and engaging with them
Problem
The company wanted to reduce customer churn
Solution
The company used Abacus.AI to develop a customer churn prediction model to identify and engage with customers most likely to churn
Results
The company reduced its customer churn by 20%
Reduced customer churn by 20%
5M predictions / month
4X improvement in predictions
A popular satellite television company
The company used Abacus.AI to build an Anomaly model to detect Quality of Service issues
Problem
Reduce churn by proactively reaching out to customers experiencing quality of service issues
Solution
Used Abacus.AI anomaly detection model to identify abnormalities in user session data
Results
Identified 12 types of service issues that could cause a customer to churn using 3 different methods
Processed user session data from 2.5M customers in real time
Calibrated on 2+ TB of data and over 1Bn events
Identified 12 types of service issues
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