Case Study: Multinational Retail Supply Chain Company achieves 18% increase in sell-through rates with Intelligence Node

How a Multinational Retail Supply Chain Leader Achieved 18% Increase in its Sellthrough Rates

Multinational Retail Supply Chain Company, a $12.7 billion global leader in supply chain solutions, faced long cash-to-cash cycles, poor inventory visibility, and uninformed e-commerce decisions that caused inventory waste and missed demand signals. The company engaged Intelligence Node to bring actionable, AI-driven insights into pricing, product lifecycle, and demand forecasting.

Intelligence Node deployed its Product Lifecycle module, predictive sourcing and merchandising insights, and the Infeed solution to replace manual editorial intuition with real-time AI forecasting and to anticipate order composition for upcoming seasons. As a result, Intelligence Node helped the Multinational Retail Supply Chain Company increase sell-through rates by 18% across nearly 100 apparel and footwear brands, reduce its cash-to-cash cycle by 30%, and cut operational costs by 15%.