How AI is Transforming Inventory Strategies for Major Retailers

investing.com:

Quiver Quantitative — In the dynamic retail landscape, major players like Walmart (NYSE:WMT), Walgreens (WBA), and ASOS (LON:ASOS) are increasingly leveraging artificial intelligence (AI) to refine their inventory management strategies. This shift comes as a response to the challenges faced during the pandemic, where traditional forecasting models based on historical sales data proved inadequate amidst erratic consumer buying patterns. Retailers are now integrating more complex data sets, including social media trends and weather patterns, into their AI-driven forecasting tools to better anticipate and meet consumer demand.

Walmart, for instance, has enhanced its inventory management system to include data from weather forecasts and online searches, both on its platform and on search engines like Google (NASDAQ:GOOGL) (GOOG). This approach allows the company to efficiently allocate products like toys and seasonal items to locations where they are most likely to be in demand. Similarly, Walgreens is utilizing AI to analyze data from social media and health trend reports, aiding in stocking their stores with the right health products during specific seasons.

The integration of AI in inventory management is not just about predicting consumer demand but also about optimizing the placement of inventory. With the rise of online shopping, retailers are tasked with keeping goods moving rapidly and efficiently to meet consumer expectations for quick fulfillment. Advanced AI and machine learning technologies are now capable of considering a wide array of influential factors, from viral social media content to local weather conditions, enabling more precise and effective inventory distribution.

This technological evolution in