Defining a successful forecast is elusive and understanding forecast error is never straightforward. The Forecast Accuracy App identifies trends in forecast accuracy so that corrections can be made at the appropriate levels. Forecasts can be broken down at the product line level, then the item level, and again by customer or any other important factor included in the business. Effects of outliers and upper or lower biases clarify whether error is from a few instances or systematic.
See the Forecast Accuracy App in action.
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Understand how sales order history compares to forecasts while controlling forecast lag time, start week, and end week of graph
Prioritize the most critical product lines based on multiple accuracy metrics and adjusting for cost
Customize each analysis of an items outlier trend and Trigg's Tracking Signal for forecast bias
Sort through items flagged with upper or lower bias signals and review an item's weekly forecast performance
Investigate outliers by breaking error down by trend and customer
Barkawi helps clients improve the performance of their supply chain or aftersales service operations, by addressing four key areas: people, processes, strategies, and technology. Barkawi’s strength lies in our expertise in the systems, data analytics and science of supply chain functions combined with our strategic partnerships with best-in-class solutions providers. In addition to technology transformations, Barkawi also delivers a range of programs focused on driving operational excellence. With headquarters in Munich, Germany and offices in North America, Europe and Asia, Barkawi can support small tactical projects to large scale initiatives.