In the challenging retail environment, efficient inventory management is crucial for enhancing customer experiences and achieving a competitive edge, especially as unsold stock in the US reached alarming levels in 2022. Retailers face difficulties without a centralized inventory system, which hampers the ability to provide seamless omnichannel experiences and adapt to market demands. MongoDB's document data model offers a solution by providing a single view of inventory, enabling real-time stock tracking and flexible data handling, thus allowing retailers to optimize stock management and implement advanced analytics and AI for demand forecasting. This approach not only streamlines supply chains but also boosts workforce efficiency through event-driven architectures, as demonstrated by 7-Eleven's successful inventory management transformation, which improved operations across thousands of stores. By leveraging these technologies, retailers can reduce costs, increase profitability, and respond rapidly to market changes, securing their position in an evolving industry landscape.