ALL CASE STUDIES
AI Agent
Anomaly Detection
ChatLLM
Forecasting and Planning
Personalization AI
Predictive Modeling
PREDICTIVE MODELING
B2C Subscription Organization
The company used Abacus.AI to reduce customer attrition and increase revenue using a predictive model for identifying at-risk customers
Problem
Existing models were not accurately identifying the customers likely to churn, resulting in lost revenue
Solution
The company used Abacus.AI Customer Churn solution to develop a model to accurately identify, and engage with, customers most likely to churn
Results
The company reduced customer churn, and achieved higher growth and revenue
Deployed a model that makes 5m predictions/month
4x improvement in accuracy
Reduced customer churn by 20%
PREDICTIVE MODELING
Food & Beverage Consumer Goods Company
The company used Abacus.AI to optimize marketing efforts by targeting leads with high conversion potential, significantly improving efficiency and sales outcomes
Problem
The company wanted to optimize sales and marketing resources by prioritizing leads to target over large amounts of data
Solution
The company used Abacus. AI Predictive Lead Scoring solution to develop a model to accurately determine top leads to target
Results
The company improved sales and marketing efficiency and increased conversion rates
Improved conversion rates by 7x
Trained a model on 10M rows of data
80% accuracy
PREDICTIVE MODELING
Global eSignature Company
The company used Abacus.AI to minimize customer loss by implementing an advanced churn prediction system
Problem
Existing models were not accurately identifying the customers likely to churn
Solution
Used Customer Churn solution to accurately identify and engage with customers more likely to churn
Results
Reduced customer churn and increased revenue
Reduced customer churn by 20%
Deployed a model that makes 5m predictions/month
4x improvement in accuracy
PREDICTIVE MODELING
Financial Services
The company used Abacus.AI to implement advanced fraud detection capabilities in wire transfers
Problem
A leading financial services company wanted to identify fraud in wire transfers
Solution
Used a supervised model to identify transactions that are fraudulent
Results
Increased fraud detection and improved existing models
Caught 85% of fraud
Improved accuracy of existing models by 30%
PREDICTIVE MODELING
Personal Styling B2C Company
The company used Abacus.AI to increase customer satisfaction and revenue by using predictive modeling
Problem
The company wanted to reduce costs and increase revenue by sending clothing that was more likely to be kept by their >100k subscribers
Solution
Used Predictive Modeling solution to build a custom classification model to predict the likelihood of an item being kept
Results
The percentage of items kept by customers increased
Percentage of items kept increased by 30%
Revenue increased by 18%
Shipping cost decreased by 8%