{"id":26683,"date":"2020-09-10T13:29:35","date_gmt":"2020-09-10T17:29:35","guid":{"rendered":"https:\/\/stageres.blueridgeglobal.com\/?p=26683"},"modified":"2025-09-15T19:44:25","modified_gmt":"2025-09-15T23:44:25","slug":"how-to-improve-forecast-accuracy-in-multi-echelon-manufacturing-supply-chains","status":"publish","type":"post","link":"https:\/\/blueridgeglobal.com\/blog\/how-to-improve-forecast-accuracy-in-multi-echelon-manufacturing-supply-chains\/","title":{"rendered":"How to Improve Forecast Accuracy in Multi-Echelon Manufacturing Supply Chains"},"content":{"rendered":"

\"sciencedirect\"<\/a>Forecast accuracy is a key stumbling block for manufacturing supply chains, as it continues to paralyze a variety of short-term operational decisions, such as production scheduling and inventory management.<\/p>\n

This is especially true where there are multi-echelon<\/a> complexities \u2013 including poor collaboration, costly allocation of inventory between locations, and a lack of visibility into sales data \u2013 which muddle the true picture of demand.<\/p>\n

Seamless Data Collection and Demand Planning<\/h3>\n

Our recent partnership with ReSight highlights the importance of establishing a seamless sales data collection and demand planning<\/a> value chain to create highly accurate wholesaler demand forecasts in these complex environments.<\/p>\n

These advanced solutions improve the availability and reliability of consumer, retail and distribution data \u2013 empowering manufacturers to create highly accurate forecasts, eliminate manual planning and spreadsheets, and wipe out unnecessary risk, cost and inefficiencies in the forecasting process.<\/p>\n

Not Convinced?<\/h3>\n

The strategy of using shared sell-through data to forecast demand is supported in a paper published by the European Journal of Operational Research<\/a>. The paper<\/p>\n