Target Appoints Chandhu Nair as First Chief AI Officer

Target has named Chandhu Nair its first chief artificial intelligence officer, signaling a strategic shift to embed machine learning directly into retail operations. The move places Nair, formerly of Lowe’s, at the center of the company’s push to streamline inventory management and accelerate data-driven decision-making across its store network.

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Target Appoints Chandhu Nair as First Chief AI Officer

Nair assumes the dual role of chief AI officer and senior vice president, joining a leadership team that also includes the newly appointed senior vice president of user experience, Purvi Shah. His mandate centers on moving AI out of experimental labs and into the daily workflow of store employees and customer interfaces. He intends to foster a more coordinated approach to technology, specifically targeting business confidence and speed to market.

The retailer is currently attempting to regain momentum with investors by leaning heavily into generative tools. Recent initiatives include Target Trend Brain, a platform designed to forecast consumer demand for specific styles and materials, alongside conversational AI programs deployed during the holiday season to assist with gift discovery. This organizational pivot mirrors broader industry trends, as major competitors like Walmart, Gap, and Best Buy aggressively integrate AI into their supply chains and customer-facing software. Retail executives view this transition as a fundamental evolution in commerce, with many firms restructuring leadership hierarchies to better capture the potential of agentic systems.

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