SOFTWARE
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
MEDIA AND TELECOMMUNICATIONS
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
RETAIL
A popular tools company selling product on multiple platforms including Amazon and Home Depot
The company used Abacus.AI to optimize inventory to ensure high availability of stock while limiting excess inventory
Problem
The company wanted to optimally manage inventory
Solution
The company used Abacus.AI Demand forecasting model to predict the inventory requirement for various SKUs
Results
Resulted in predictions that are 72% more accurate than what the company achieved using its models
Forecasted on ~5,000 SKUs
Decreased the forecasted percentage error by 42%
Forecasted for 1 month to 12 month timeframes
MARKETING
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
MEDIA AND TELECOMMUNICATIONS
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
RETAIL
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
FINANCIAL SERVICES
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
INSURANCE
Leading Health Insurance Provider
Used Abacus.AI ChatLLM to quickly answer complex insurance claims related queries from customers
Problem
Company wanted to automate and improve accurate handling of claims
Solution
Created Abacus.AI chatLLM with context on hundreds of documents across tens of distinct problem areas to instantly answer customer specific queries on any health policy
Results
Reduced claims processing time by 90%
Extracted and cleaned text from thousands documents
Processed 1m+ claims received per week
Saved millions of dollars by automating and reducing claims processing time by 90%
LEGAL & CONTRACTING
Global Outsourced Manufacturing Company
Used Abacus.AI to organize and query thousands of bespoke customer-specific manufacturing contract terms with AI Agents
Problem
Company wanted to search, sort and index 1000s of detailed, bespoke contracts with unique terms across pricing, responsibilities, IP and timing
Solution
Created an Abacus.ai AI agent that can (i) answer a set list of questions about any contract and (ii) given a question, organize contracts by answers to that question (including running custom-calculations)
Results
Saved more than 120 people-hrs per week by automating manual document lookup to answer queries
Saved more than 120 people-hrs per week
Organized, and sorted contracts across 10 key metrics
Indexed and enabled search across 1000s of contracts
INSURANCE
National Personal Injury Attorney
The company used Abacus.AI to identify key pieces of information from customer call transcripts and classify them
Problem
Used Abacus.AI to automate the creation of claimant-specific demand letters through AI agent
Solution
Company wanted to automate and streamline the labor intensive process of creating claimant demand letters, including data entry and state judicial document review
Results
Achieved 99% accuracy in classifying, saving multiple hours of human effort
All sensitive data secured safely
Ingested thousands of demand letters, depositions and positions to optimize output
Saved $1M+ by reducing demand document creation time by 60%
LEGAL & CONTRACTING
Global Vacation Rental Company
Used Abacus.ai to enable internal company search across all contracts
Problem
Company wanted to enable search for tens of thousands of documents stored in company cloud
Solution
Used Abacus.ai document retriever and AI agent to answer any question on extracted documents
Results
Increased revenue 20%+ through better matching customer needs to property
100,000+ documents
25,000+ properties
Thousands of different property owners
INSURANCE
National Property Insurer
Used Abacus.AI to create DataLLM for all customer insurance policies
Problem
Company wanted to be able to search all insurance policies by various data fields
Solution
Used Abacus.ai data LLM to index and enable search on all policies
Results
Saved millions of dollars in support agent time and improved customer satisfaction scores
Millions of documents processed
20 searchable fields
Hours saved in daily support time
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