Addressing Sales Volatility

February 12, 2021
Addressing Sales Volatility


A large publicly traded fertilizer company needed a more accurate way to forecast the demand for its products, specifically how much fertilizer will be needed in what location and at what time.  


Using 30 years of historical data on sales, weather, presence of marketing and farm-gate prices, this effort created an AI based prediction model which resulted in an 85% forecast accuracy, which was a substantial improvement over the previous methods of calculating demand.

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