Ecommerce Trends: How Lowe’s is using AI

The Strategic Pivot: AI at the Executive Level
The decision to formalize AI leadership at the executive level follows a period of intense technological investment for the Mooresville, North Carolina-based retailer. As the company continues to refine its digital presence, the elevation of Godbole—Lowe’s chief information officer—reflects a broader realization that AI is no longer a peripheral utility but a foundational pillar of the company’s business model. This organizational restructuring comes on the heels of the 2026 Tech Fair, an annual internal exhibition where Lowe’s showcases its latest advancements in proprietary software and infrastructure.
Godbole has characterized this transition as a holistic effort, spanning from internal security protocols to high-level customer engagement tools. By prioritizing AI, the company is attempting to standardize its technological deployment, ensuring that innovations like its “AI Foundry” are integrated seamlessly into the daily operations of its physical stores and online platforms. This shift is designed to improve the efficiency of “MyRedVest,” the company’s internal application for store associates, and to enhance the capabilities of the retailer’s consumer-facing mobile application, which has received industry accolades for its intuitive design and utility.
Chronology of Innovation: Building the Mylow Ecosystem
The journey toward a more automated retail experience began in earnest in 2025, when Lowe’s launched the “Mylow” virtual advisor, a tool developed in partnership with OpenAI. The deployment of Mylow marked a significant departure from standard chatbot interfaces, which often rely on static, rule-based logic. Instead, Mylow was designed as an agentic AI, capable of navigating complex queries and providing context-aware advice to shoppers.
Since its inception in 2025, Mylow has processed more than 25 million inquiries, acting as a force multiplier for the company’s staff. The system serves two primary functions: providing direct, 24/7 assistance to customers on the Lowe’s website and app, and acting as a “Companion” interface for in-store associates. By equipping employees with AI-powered insights, the retailer has successfully reduced the friction associated with complex home improvement projects, allowing staff to offer professional-grade advice regardless of their individual tenure or experience level.
The impact of this technology on the bottom line has been measurable. During the company’s August 2026 earnings call, Marvin Ellison, president, CEO, and chairman of Lowe’s, revealed that the conversion rate for online customers who engage with Mylow is triple that of those who do not. This data point serves as a validation of the company’s investment, proving that AI-driven personalization is a critical driver of the purchasing decision.
Infrastructure and Development: The Role of the AI Foundry
Central to Lowe’s technological advancement is the “AI Foundry,” an integrated development environment (IDE) specifically architected for the testing and deployment of AI-powered tools. In the volatile retail environment, where software bugs or model hallucinations can result in significant reputational and financial damage, the Foundry acts as a secure sandbox.
The Foundry provides developers with controlled access to large language models (LLMs), allowing them to build, refine, and stress-test software before it is introduced to the public. By establishing strict guardrails, Lowe’s can ensure that its AI applications—whether for inventory management, supply chain optimization, or customer service—adhere to internal standards of safety and reliability. This development cycle allows the company to observe how AI performs in simulated real-world environments, effectively mitigating the risks typically associated with rapid technological scaling.
Empowering the Pro Segment: Materials Lists
While consumer-facing tools have captured significant attention, the most transformative application of AI at Lowe’s may be occurring in the Pro business segment. In May 2026, the company introduced “Materials Lists,” a sophisticated tool designed to address the specific pain points of professional contractors, who often operate on razor-thin margins and tight project timelines.
The Materials Lists tool leverages computer vision and natural language processing to digitize the estimation process. Contractors can upload virtually any document format—ranging from blurry photos of handwritten notes to complex PDFs and spreadsheets—and the system automatically converts these into actionable quotes. Prior to the implementation of this AI, the process of generating an estimate was a laborious, manual task that could consume days of an associate’s time.
Joseph McFarland, executive vice president of stores at Lowe’s, noted that the transition from a manual, multi-day process to a digital, minute-long turnaround has fundamentally changed the store experience for professional customers. By reducing administrative burden, the AI allows store associates to focus on high-value interactions, such as project consulting and logistics coordination, which are essential for maintaining the loyalty of professional clients.
Industry Implications and Competitive Landscape
Lowe’s, which holds the No. 9 position in Digital Commerce 360’s Top 1000 Database, is clearly using its scale to gain a competitive edge in the digital arena. Its current ranking of No. 90 in the specialized “AI Rankings” highlights that while the retailer is an incumbent, it is aggressively climbing the ranks of tech-forward companies.
The implications for the broader retail industry are significant. As Lowe’s proves that AI can directly correlate with higher conversion rates and improved operational efficiency, other major retailers are likely to accelerate their own investments in similar agentic AI frameworks. The shift also highlights a broader trend: the convergence of the digital and physical realms. By using AI to assist store associates in real-time, Lowe’s is reinforcing the necessity of the brick-and-mortar store, transforming it from a traditional warehouse into a high-tech service hub.
However, the rapid adoption of these technologies is not without challenges. Maintaining data privacy, ensuring the accuracy of LLMs, and managing the cultural shift among employees who must adapt to working alongside automated agents are ongoing tasks for the executive leadership team. The promotion of leadership specifically dedicated to AI suggests that Lowe’s recognizes these challenges and is prepared to dedicate the human and capital resources necessary to manage them.
Analysis of Future Growth
The integration of AI at Lowe’s serves as a case study in digital transformation for the retail sector. By focusing on two distinct pillars—the “Mylow” consumer experience and the “Materials Lists” professional tool—Lowe’s has effectively segmented its AI strategy to address the specific needs of its diverse customer base.
The success of the Pro-focused tools is particularly timely. With macroeconomic pressures impacting consumer spending, the professional segment represents a stable and high-growth opportunity for home improvement retailers. By prioritizing the time-saving potential of AI, Lowe’s is positioning itself as the partner of choice for contractors who are under increasing pressure to deliver projects faster and more efficiently.
Looking ahead, the role of the AI Foundry will be critical. As the company continues to experiment with new applications, the ability to iterate rapidly within a safe environment will likely determine its long-term success. If the current trajectory of conversion rate improvements and operational efficiencies continues, Lowe’s is well-positioned to cement its role as a leader in the digital transformation of the home improvement industry.
In summary, the recent executive changes and the emphasis on the AI Foundry underscore a strategic commitment that transcends temporary industry trends. By embedding artificial intelligence into the organizational DNA, Lowe’s is not merely adopting new software; it is fundamentally altering the way the company interacts with its data, its associates, and its customers, setting a new benchmark for large-scale retail operations in the digital age.







