Description
Companies are extremely interested in capturing variances in COGS to speed up planning cycle, optimize the impact of key variance drivers and increase transparency and connection between Cost of goods sold and Cost of goods manufactured
Companies are extremely interested in capturing variances in COGS to speed up planning cycle, optimize the impact of key variance drivers and increase transparency and connection between Cost of goods sold and Cost of goods manufactured
Development of an A.I. model to increase forecast COGS variances accuracy and bias.
Development of an Analytics solution to breakdown the discrepancies and identify key drivers for variances
Solution
A.I. Model
Development of an A.I. model to increase forecast COGS variances accuracy and bias.
Analytics Solution
Development of an Analytics solution to breakdown the discrepancies and identify key drivers for variances
Results
Increased accuracy by 15%
Increased productivity, due to less manual processes
Increased transparency on key drivers impact