For example, Dell orders PC computers in anticipation of customer orders, whereas it performs assembly in response to a customer orders. To determine the amount of components to have on hand (a push process) and to determine the capacity needed in its plants (for pull production), Dell requires a of forecast of future demand. Forecast are also needed further up the supply chain. For example, Intel faces a similar need in determining their own production and inventory levels to supply Dell. Intel’s suppliers need forecasts for the same reason. When each stage in the supply chain makes its own separate, these forecasts are often very different. The result is a mismatch between supply and demand. When all stages of a supply chain produce a collaborative forecast, it tends to be much more accurate. The resulting forecast accuracy enables supply chains to be both more responsive and more efficient in serving their customers. Leaders in many supply chain, from PC manufacturers to improve their ability to match supply and demand.