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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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