Mathematical optimization empowers companies employing the make to stock approach to utilize their demand forecasts to fuel data-driven, optimal planning and decision making – so that they can maximize their operational efficiency, minimize costs, and match inventory with demand in the most cost-effective and profitable way possible.
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