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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
Marketing
Media and Telecommunications
Retail
Software
A financial services firm
The company used Abacus.AI to identify key pieces of information from customer call transcripts and classify them
Problem
The company wants to reduce costs by automating the categorization of calls based on the transcripts
Solution
Used Abacus.AI Named Entity Recognition to automate this process
Results
Achieved 99% accuracy in classifying, saving multiple hours of human effort
Classified call records into 15 classes
Achieved accuracy of 99%
Aggregated over 100 datasets
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