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Case Studies

ALL CASE STUDIES

Media and Telecommunications

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

FORECASTING AND PLANNING

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

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

ANOMALY DETECTION

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

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

CHATLLM

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

CHATLLM

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%

AI AGENT

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

CHATLLM

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%

AI AGENT

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

AI AGENT

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

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

FORECASTING AND PLANNING

Consumer Retail & Manufacturing Company

The company used Abacus.AI to enhance inventory management and demand forecasting, reducing errors

Problem

The company wanted to forecast demand across 5000 SKUS to optimally manage inventory but had difficulty building accurate models

Solution

Used Demand Forecasting solution to predict the demand for each SKU

Results

Improved their models and predicting the demand more accurately

Built models were 72% more accurate than existing models

Decreased forecasting error by 42%

Predicted demands from 1-12 months in the future

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

CHATLLM

Household Consumer Goods Organization

The company used Abacus.AI to streamline customer service operations by automating the analysis of call transcripts

Problem

The company was spending too much time and money manually categorizing call transcripts to improve customer service

Solution

Used Text Classification and Extraction solution to build a model that could analyze the call transcripts

Results

Increased workplace efficiency, nearly eliminating manual reviews

Automated transcript reviews with 99% accuracy

Aggregated data from 100+ datasets

Classified transcripts into 15 classes

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

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%

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%

FORECASTING AND PLANNING

Consumer Retail & Manufacturing Company

The company used Abacus.AI to improve the accuracy of demand forecasts, streamlining operations and reducing monthly expenditures

Problem

The company wanted to improve forecast accuracy for 1m SKUs over a period of six months

Solution

Used Demand Forecasting Solution to predict demand for each SKU

Results

Improved their models and predicting the demand more accurately

Built and deployed a model within 2 weeks

Spends $15k less per month on AI

Increased accuracy by over 25% across all categories

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%

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%

FORECASTING AND PLANNING

Health Care

The company used Abacus.AI to prioritize research investments more effectively by forecasting drug demand with new models

Problem

The company wanted to prioritize research investments with forecasted drug demand

Solution

Used Demand Forecasting solution to build models for all medical conditions related to their drug portfolio

Results

Improved forecast accuracy compared to econometric models

Forecasting NN 25% more accurate than other models

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