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Inventory forecasting is hard, automated machine learning makes it easier

Managing inventory can be difficult for retailers. Matching supply with demand will always be a challenge if a business does not accurately know how consumer sentiment and market forces will change in the future. Getting it wrong can create unhappy customers who shop elsewhere or leave shelves filled with products that aren’t selling.

Technology has evolved to use predictive analytics to better predict and manage inventory. Read the white paper, Automated Machine Learning Helps Retailers Better Forecast Demand, and learn how one predictive technology has improved the accuracy of inventory forecasting.

The DataRobot Team

DataRobot, Inc, 225 Franklin Street, 13th Floor, Boston, MA 02110

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