Addressing Sales Volatility

Problem:

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.  

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Solution:

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.