Walmart's AI Strategy: Improving Customer, Employee Experience Across Massive Environment


(MENAFN) While ChatGPT is generating excitement for its transformational potential, artificial intelligence has been used in businesses for years. Walmart, with its 4,700 stores and 600 Sam’s Clubs in the U.S. and 1.6 million associates, has a unique ability to gather massive data sets that power AI. Anshu Bhardwaj, senior vice president of tech strategy and commercialization at Walmart, stated that Walmart's AI strategy is focused on using artificial intelligence and machine learning to improve both the customer and employee experience across such a massive environment.

Sam's Club, Walmart's warehouse chain, uses the membership model to gather huge amounts of data about customer behavior, preferences, and purchases. This data allows the company to make the shopping experience better for its customers. For instance, by ensuring that the items customers want to buy are in stock. However, this means staying on top of roughly 6,000 items stacked on shelves in warehouse stores that average 136,000 sq. feet.

Walmart's AI strategy is not limited to customer experience alone. The company is also using AI and machine learning to enhance the employee experience. For instance, by using AI algorithms to schedule employee shifts and optimize their productivity, Walmart is improving the work-life balance of its associates. This, in turn, leads to happier employees and better customer service.

In conclusion, Walmart's AI strategy is focused on leveraging the massive amounts of data it gathers to improve both the customer and employee experience across its vast network of stores and warehouses. By using AI and machine learning, Walmart is optimizing its operations, enhancing its customer service, and ensuring that its associates have a better work-life balance.

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