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ALL CASE STUDIES
AI Agent
Anomaly Detection
ChatLLM
Forecasting and Planning
Personalization AI
Predictive Modeling
PERSONALIZATION AI
A multi-product software company
The company used Abacus.AI to score and prioritize leads to efficiently allocate its sales and marketing resources
Problem
The company wanted to optimize marketing and sales resources by prioritizing the leads to target
Solution
Trained and deployed an Abacus.AI lead scoring model that helps the Company determine the top leads to target
Results
Lead scoring helped the company optimize its sales & marketing resources and achieve higher growth
7X improvement in conversions
Trained on ~10M leads
Handled 2Bn+ events
PERSONALIZATION AI
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
PERSONALIZATION AI
A customer insights company
The company used Abacus.AI to generate personalized recommendations to its customers and increase revenue
Problem
The Company wanted to generate recommendations tailored to its customers
Solution
The Company used Abacus.AI personalized recommendations model
Results
Increased revenue by ~20% based on an A/B test
Increased revenue by 20%
Handles millions of requests/day
Under 20ms latency
PERSONALIZATION AI
Very large retail company
The company used Abacus.AI to generate cart recommendations using Abacus.AI’s vector store
Problem
The company wanted to recommend items to users based on what’s already in their cart in real time
Solution
Abacus.AI vector store was used to generate recommendations
Results
Generated recommendations under 20ms latency
Under 20ms latency
Scales up to 10,000+ Queries/Second
Handles millions of requests/day
PERSONALIZATION AI
Multinational Consumer Products Company
The company used Abacus.AI to increase e-commerce revenue by personalizing user experiences on their website
Problem
The company wanted to personalize the user experience on their website to increase revenue but many visitors had limited shopping histories
Solution
Used Personalized recommendation solution to build a streaming recommendation model
Results
Provided recommendations for all visitors, even those with limited histories
Increased overall orders by 10%
Over 10M page views
10K orders per day
PERSONALIZATION AI
Multinational Home Improvement Retail Company
The company used Abacus.AI to boost online sales and reduce product returns by integrating advanced real-time recommendation models
Problem
The company needed to increase conversion rates of online sales while also decreasing returns to boost revenue
Solution
Leveraged Recommendation solution for real-time recommendations and plug-and-play PyTorch & TensorFlow models
Results
Deployed real-time recommendation models that were moved into production and integrated with their website
6 different real-time models deployed
Sale conversion rates increased by 3%
Returns decreased by 10%
PERSONALIZATION AI
Health Care
The company used Abacus.AI to enhance patient engagement and decision-making on their healthcare portal by deploying recommender systems
Problem
The company wanted to leverage their next best actions on their portal, but many of their patients had very little history
Solution
Used Recommender solutions to build high-performance models alongside heuristics
Results
The company deployed real-time recommendation models as part of their portal
Healthcare portal provides recommendations
In a B2B scenario, opportunity won conversion 10%
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