Macy’s Bets on Artificial Intelligence and Advanced Automation to Drive Supply Chain Transformation and Cost Savings
Macy’s Inc. is doubling down on artificial intelligence and supply chain modernization, expanding a successful inventory-management pilot project as part of its broader strategy to secure $235 million in cost savings by the end of 2026. Facing persistent macroeconomic headwinds, shifting consumer habits, and rising operational costs, the century-old department store operator is fundamentally reshaping how it moves merchandise from warehouses to store shelves and digital shoppers.
The decision to scale its AI-powered replenishment capabilities underscores a broader industry-wide pivot toward predictive technology. Traditional retail supply chains, which historically relied on historical sales averages and manual auditing, are increasingly proving too slow for modern omnichannel retail. By integrating artificial intelligence directly into inventory forecasting, Macy’s leadership believes the company can dramatically reduce excess stock, minimize out-of-stock scenarios, and optimize product distribution across its nationwide footprint.
The Financial Blueprint and Operational Restructuring
The integration of artificial intelligence into Macy’s logistics framework is not happening in a vacuum. It is a critical pillar of the “Bold New Chapter” strategy, an ambitious multiyear turnaround initiative announced by executive leadership in 2024. The core objective of this strategic roadmap is to revitalize the company’s financial health, enhance operational agility, and generate meaningful supply chain efficiencies that protect gross margins in an increasingly competitive marketplace.
Tom Edwards, chief operating officer and chief financial officer at Macy’s, detailed the strategic importance of the rollout during a recent earnings call with financial analysts. Edwards emphasized that the newly scaled AI forecasting overlay is designed to solve one of retail’s most persistent challenges: having the right product in the right place at the right time.
“We are adding an AI forecast overlay capability to replenishment, moving from pilot to broader execution to improve in-stocks and deploy our inventory more efficiently,” Edwards told analysts. He further noted that the company expects to realize tangible supply chain efficiencies in the second half of 2026, which will directly benefit gross margins and provide a reliable financial cushion as the retailer navigates volatile consumer spending patterns.
However, this transition toward a leaner, highly automated business model has required difficult structural choices. When Macy’s first introduced the Bold New Chapter strategy, it also outlined plans to shutter approximately 150 “underproductive” store locations over a multiyear period to concentrate capital on higher-performing assets and digital channels.
The footprint reduction extended deep into the company’s logistics and distribution network. Earlier this year, Macy’s announced the closure of multiple fulfillment and distribution centers—including facilities in Cheshire and South Windsor, Connecticut—resulting in approximately 1,000 workforce layoffs. These painful cuts were designed to eliminate redundancies and transition the company’s physical logistics toward high-capacity, automated hubs better suited for modern e-commerce fulfillment.
Following these adjustments, Macy’s reported operating a total of 661 retail locations as of August, a portfolio that includes its namesake department stores alongside upscale luxury banners Bloomingdale’s and high-end beauty retailer Bluemercury.
Technological Milestones: The China Grove Fulfillment Center
The physical manifestation of Macy’s logistics evolution is best exemplified by its massive, state-of-the-art fulfillment center in China Grove, North Carolina. Opened in October 2025, the sprawling 2.5-million-square-foot facility represents a watershed moment for the company’s supply chain infrastructure.
Not only is the China Grove facility Macy’s largest storage capacity site to date, but it is also its most technologically advanced. Equipped with high-performance automation, advanced robotics, and sophisticated sorting systems, the facility is engineered to process high volumes of merchandise with unprecedented speed and accuracy. The integration of advanced machinery at China Grove mirrors the broader investments Macy’s is making in technological infrastructure, ensuring that its fulfillment network can seamlessly support both brick-and-mortar replenishment and direct-to-consumer digital orders.
Industry observers note that facilities like the China Grove center are essential for legacy department store chains seeking to compete with digital-native retail giants. By reducing the manual labor required to pick, pack, and ship inventory, automated fulfillment centers significantly lower per-unit handling costs while simultaneously accelerating delivery times for online shoppers.
A Three-Pronged Approach to Artificial Intelligence
While inventory replenishment and warehouse automation represent the backend backbone of Macy’s transformation, the company’s deployment of artificial intelligence extends far beyond the loading dock. Tony Spring, chairman and chief executive officer of Macy’s, has outlined a comprehensive, three-pillar framework for how the organization conceptualizes and deploys artificial intelligence across its enterprise.
According to Spring, Macy’s views artificial intelligence through three distinct operational lenses: driving top-line revenue, improving both the worker and customer experience, and generating greater efficiencies while reducing costs.
“We have a number of pilots, a number of things that are proof of concept, and a number of things that are rolling out that are in those three buckets,” Spring explained during the earnings call.
This holistic vision is already visible in customer-facing applications. In March of this year, Macy’s rolled out an AI-powered shopping assistant designed to help digital consumers navigate its vast product catalog, offering personalized recommendations and streamlining the online discovery process. By bridging the gap between automated backend inventory data and front-end consumer interactions, the retailer aims to create a more cohesive and responsive shopping journey.
Despite the heavy reliance on machine learning, algorithms, and automated robotics, leadership remains steadfast in emphasizing that technology is intended to augment, rather than entirely replace, the human element of retail. Spring pointedly addressed the balance between automation and human capital, expressing a firm belief that human workers remain irreplaceable in key areas of the business.
“The embracement of AI also comes with the belief that humanity has a role within the retail business, particularly in the relationship selling that we do at all three of our brands,” Spring noted. This philosophy suggests that while algorithms can successfully manage inventory replenishment, forecast demand, and route shipments, the personalized customer service delivered by sales associates across Macy’s, Bloomingdale’s, and Bluemercury remains a core differentiator in winning consumer loyalty.
Broader Industry Implications and Future Outlook
Macy’s aggressive pivot toward artificial intelligence and supply chain automation reflects a broader, inescapable reality facing the modern retail and logistics sectors. Across the industry, legacy retailers are grappling with compressed profit margins, fluctuating supply chain expenses, and evolving consumer expectations for fast, reliable delivery.
By embracing predictive AI tools and automated infrastructure, companies are seeking to build resilient supply chains capable of weathering unexpected global disruptions and inflationary pressures. Analysts point out that Macy’s phased rollout—transitioning carefully from small-scale pilot programs to enterprise-wide execution—mitigates the execution risks inherent in massive technological overhauls.
As Macy’s works toward its target of realizing $235 million in supply-chain-related savings by the close of 2026, the success of its AI forecasting replenishment tool will be closely monitored by Wall Street and retail competitors alike. If the initiative delivers the anticipated gross margin improvements and inventory efficiencies, it could serve as a blueprint for other traditional department store operators seeking to modernize their operations without sacrificing the personalized touch that defines experiential retail.
Ultimately, Macy’s ongoing transformation demonstrates that the future of department store retail lies not in choosing between physical presence and digital innovation, but in harmonizing advanced artificial intelligence, state-of-the-art logistics automation, and human-centric customer service into a single, cohesive business model.
