This guide outlines seven strategies retailers can use to optimize inventory performance during peak shopping periods. It emphasizes the importance of real-time inventory visibility, intelligent order management, dynamic inventory positioning, and AI-driven fulfillment decisions to improve customer experience and reduce stockouts. The report explains how retailers can leverage machine learning, advanced order promising, and flexible fulfillment models like BOPIS and ship-from-store to manage demand spikes efficiently. It also highlights the growing importance of returns management, inventory rebalancing, and predictive analytics in maximizing profitability and maintaining reliable delivery commitments during high-volume retail seasons.

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