Data Analysis & Reporting Services
AI-Powered Inventory Forecasting for Manufacturing
Manufacturing company improved forecast accuracy from 65% to 91% and reduced excess inventory by $150K annually.
Client:
Manufacturing
The Challenge:
Manufacturing company with $3M in annual inventory costs struggled with demand forecasting. Over-ordering led to $200K in excess inventory annually, while stock-outs caused production delays and lost sales. Excel-based forecasting was 65% accurate.
Solution:
Implemented AI-powered demand forecasting system analyzing historical sales data, seasonal trends, supplier lead times, and market indicators. Automated purchase order generation and inventory alerts integrated with their ERP system.
Results:
Forecasting accuracy improved from 65% to 91%
Excess inventory reduced by over $100K (75% improvement)
Stock-out incidents decreased by 85%
The Challenge:
Manufacturing company with $3M in annual inventory costs struggled with demand forecasting. Over-ordering led to $200K in excess inventory annually, while stock-outs caused production delays and lost sales. Excel-based forecasting was 65% accurate.
Solution:
Implemented AI-powered demand forecasting system analyzing historical sales data, seasonal trends, supplier lead times, and market indicators. Automated purchase order generation and inventory alerts integrated with their ERP system.
Results:
Forecasting accuracy improved from 65% to 91%
Excess inventory reduced by over $100K (75% improvement)
Stock-out incidents decreased by 85%
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