Case Study: ReaderLink achieves up to 30% better new product forecasting accuracy with Blue Yonder

ReaderLink Achieves a 30% Increase in New Product Forecasting Accuracy with Blue Yonder

ReaderLink, a major North American book distributor, faced a difficult challenge forecasting demand for new titles introduced as often as 50 to 100 per week. Inaccurate forecasts were causing stockouts, overstocks, dissatisfied retailers, and costly returns. ReaderLink turned to Blue Yonder for help, using its Demand and Fulfillment capabilities and attribute-based forecasting approach.

Blue Yonder implemented an AI-driven, data-based forecasting solution that improved ReaderLink’s ability to customize assortments and align inventory with customer demand. As a result, forecast errors were reduced, excess stock and reverse logistics declined, and new product forecasting accuracy improved by up to 30% for some retailers and segments.

ReaderLink

Kyle Marx

Executive Vice President, Supply Chain Planning and Enterprise Analytics