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 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% revenue share of total supply chain management (SCM) application spending with a compound annual growth rate (CAGR) of 6 percent through 2011.
SAS Demand-Driven Forecasting integrates customer and other upstream data into a demand plan that helps maximize profits, market share and customer satisfaction. Implementing SAS Demand-Driven Forecasting helps users:
* Generate accurate, demand-driven forecasts using the right methods and models at any hierarchical level with SAS' patented Forecast Server engine;
* Respond profitably to demand using “what-if” analyses and scenario modelling to gauge the financial impact of changes in marketing strategies or product mix;
* Create more accurate automatic-weighted consensus forecasts that track variations between forecasted and actual numbers to help with sales and operations planning;
* Reduce finished goods inventory levels and stock-outs; and
* Measure and manage forecast performance by monitoring, tracking, reporting and surfacing alerts on forecast performance metrics.