Weak forecasting tools and practices incur high costs. An incremental 10% forecasting error can easily add 10% to product costs. Forecasts that err on the high side generate excess inventory and associated costs, increased discounting, and reduced margins. Forecasts on the low side often cause shortage costs including reduced customer satisfaction, expediting, additional purchasing or manufacturing costs, and displaced production schedules. More generally, poor forecasts give rise to misplaced marketing efforts and ill-advised strategic initiatives. By increasing accuracy in forecasting you can: improve the fit between what is produced/procured and customer-demand aid medium-term production-planning, even longer-term capacity-planning achieve sharper top-level revenue and profit projections and dissect significant trends by product-line, geographical segment, channel etc. Assiduo leverages downstream demand data so that you can collaborate to take a broader view and escape the proverbial bull-whip. Advanced forecasting technology, and intelligent workflow increase forecast accuracy and simplify the demand-planning process. An award-winning statistical forecasting engine factors in both short-term fluctuations (seasonality, special events such as promotions) as well as longer-term trends (product-lifecycle, brand market presence, macroeconomic developments). Intelligent workflow in demand planning keeps your team's attention where it is needed most. Automatic expert model selection from among sophisticated extrapolative forecasting models frees demand planners from playing arm-chair statistician to seek out extrinsic data and build consensus. Rigorous prioritization of product forecasts for review and efficient management of forecast overrides help your team identify and confront exceptions immediately.