NORWALK, Conn.--Sept. 19, 2006--Terra Technology (
www.terratechnology.com), the leading provider of Real-Time Forecasting (RTF) solutions, today announced the immediate availability of Real-Time Forecasting Version 3.5. This latest release improves forecast accuracy for large consumer products companies with complex global supply chains by delivering improved scalability, increased accuracy and enhanced ease-of-use.
"Many of our largest clients manufacture and ship products all over the world," said Robert F. Byrne, president and CEO of Terra Technology. "Real-Time Forecasting is dynamic, analyzing shifts in daily demand for thousands of products in hundreds of countries with different holidays, promotional plans and SKUs, resulting in greater forecast accuracy and cost savings for our customers."
Key Enhancements of RTF Version 3.5
-- Flexible modeling to accurately forecast for holidays in the United States and abroad, e.g., forecasting the impact of a Thursday holiday such as Corpus Cristi Day in Germany.
-- The capability to analyze history for patterns that reflect promotions and derive promotional volume when no actual promotional data is available.
-- Allocation of a forecast for a generic item when more than one SKU is selling for that item at that time.
-- Easy integration with SAP, enabling implementation in 90 days for SAP users.
Real-Time Forecasting improves traditional demand planning systems by combining real-time data and advanced mathematics to cut forecast error. Forecast error is the single most expensive problem for consumer products companies and the largest obstacle to becoming demand-driven. When forecast error is high manufacturers produce and ship the wrong products to retailers; increasing inventory, transportation costs, manufacturing changeovers and stock-outs. When consumer products companies combine RTF with their existing demand planning systems, customer service improves; planners are more productive and sales revenue and profitability increase.
About Terra Technology
Terra Technology is the leading provider of Real-Time Forecasting and Inventory solutions for consumer goods companies. Terra's pattern recognition technology works with traditional demand planning systems to monitor daily demand signals and reduce near-term forecast error by up to 50 percent. More accurate forecasts and inventory targets improve customer service, lower inventory, decrease unplanned changeovers and reduce costs. Headquartered in Norwalk, CT, Terra's customers include Campbell Soup, Georgia-Pacific, McCain Foods and Ventura Foods. For more information, please visit www.terratechnology.com or call 203-847-4007 x108.