Briefs

Software automatically tracks variations between forecasted and actual numbers to guide the sales and operations planning process

www.sas.com/news/preleases/060308/demandrivenforecasting.html

CARY, NC (June 03, 2008) - Companies moving to a progressive demand-driven business model seek sophisticated analytics as traditional enterprise resource planning and supply chain technologies often fall short of expectations. Poor forecasting harms companies across all functional areas: lost sales, budget over-allocations, product obsolescence, overstocks and higher prices. To meet the need for robust demand planning and forecasting, SAS, the leader in business intelligence and predictive analytics, has introduced SAS(r) Demand-Driven Forecasting.

According to AMR Research, "demand-planning applications with innovative new capabilities, such as attribute-based forecasting, direct ties into sales and operations planning processes and integration of downstream data are driving market demand and causing firms to re-evaluate existing demand-planning and forecasting implementations." Further, AMR Research estimates demand planning and forecasting will command a 12 percent revenue share of total supply chain management (SCM) application spending with a compound annual growth rate (CAGR) of 6 percent through 2011.

http://www.amrresearch.com/Content/View.asp?pmillid=20566