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Case Studies

ALL CASE STUDIES

Media and Telecommunications

Forecasting and Planning

Personalization AI

Predictive Modeling

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

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

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

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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