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Solution: Terra's solutions apply pattern recognition mathematics to daily data daily, including channel inventory, orders, shipments and POS, to create a forecast that immediately responds to shifts in demand.
Results: Our customer implemented Terra's Demand Sensing in North America, reducing forecast error by 40 percent. This 40 percent reduction enabled them to remove three days of finished goods safety stock and decrease costs by reducing transshipments and shipping expedites. Following the success in North America, our customer is implementing Terra's Demand Sensing and Multi-Enterprise Inventory Optimization globally to improve forecast accuracy and decrease costs around the world.
About the Solution Provider: Terra Technology's solutions use better mathematics and downstream data to improve supply chain performance, reducing forecast error up to 50% and inventory up to 20%. Some of the world's largest consumer goods companies use Terra, including Procter & Gamble, Unilever, Kraft Foods, Kimberly-Clark, General Mills, ConAgra Foods and Campbell Soup.
Phone: (978) 532-1012
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