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Home » Analyzing Retailer Data to Accurately Forecast Demand in Volatile Markets

Analyzing Retailer Data to Accurately Forecast Demand in Volatile Markets

September 29, 2012

Solution: The company implemented Terra Technology's Multi-Enterprise Demand Sensing (MDS) as a first step in creating a demand-driven supply chain. MDS analyzes current demand signals to improve forecast accuracy, enabling the company to decrease inventory and improve service levels.

Results: The company significantly lowered inventory levels across its entire consumer products business. For example, in the most recent high-volume period for one of its top products, the company carried the lowest inventory level and experienced the highest service levels in its history. At the same time, the company has experienced a substantial reduction in rush shipment activity, and the need to ship products from the west coast to the east coast at the last minute because the company anticipated demand incorrectly is reduced.

About the Solution Provider: Terra Technology uses better mathematics to sense demand, optimize inventory and predict transportation and warehousing requirements for some of the world's best-known companies including Procter & Gamble, Unilever, Kraft Foods, Kimberly-Clark, General Mills, Kellogg's, ConAgra Foods and Campbell Soup.

Web: www.terratechnology.com

Email: terrasales@terratechnology.com

Phone: 203 847 4007 x100

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Case Study Showcase Sourcing/Procurement/SRM Forecasting & Demand Planning Supply Chain Planning & Optimization Technology Consumer Packaged Goods Food & Beverage Retail
KEYWORDS Case Study Showcase consumer packaged goods Food and Beverage Forecasting & Demand Planning Retail SC Planning & Optimization Sourcing/Procurement/SCM Technology
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