How Lowe’s Tailors Its AI-Backed Mylow to Different Customers

Why It Matters

Mylow accelerates decision‑making for both consumers and pros, boosting sales efficiency and expanding Lowe’s reach in a complex, high‑touch category. The multilingual, role‑specific AI demonstrates how retailers can scale personalized service without proportional staffing costs.

Key Takeaways

• Mylow handles ~1M monthly queries across DIY and pros.
• AI reduces pro-associate prep time from hours to minutes.
• Spanish language added for both customers and associates.
• Mylow Companion tailors advice for DIY vs professional needs.
• Store walks drive real‑world feedback and rapid iteration.

Pulse Analysis

Lowe’s AI strategy reflects a broader shift in retail toward generative models that can synthesize disparate data sources into actionable guidance. By embedding Mylow into both consumer‑facing channels and internal associate tools, the home‑improvement giant addresses the sector’s inherent complexity—large SKUs, technical specifications, and project‑specific logistics. The assistant’s ability to pull product availability, pricing, and instructional content into a single conversational flow reduces friction for DIY shoppers who often rely on fragmented online videos and blogs.

The differentiation between DIY and professional users is a core design principle. Mylow Companion equips floor associates with a one‑click “Pro Companion” function that instantly generates bulk‑order recommendations, delivery timelines, and site‑specific considerations, slashing preparation from hours to minutes. This efficiency translates into faster quote turnaround, higher conversion rates, and stronger loyalty among contractors who value speed and reliability. For DIY customers, the AI curates step‑by‑step guidance and product bundles, simplifying complex projects and encouraging higher basket sizes.

Language accessibility and iterative feedback loops further cement Mylow’s competitive edge. Launching Spanish‑language support for both voice and text acknowledges the demographic realities of Lowe’s workforce and customer base, expanding adoption across regions. Weekly store walks by senior leadership provide frontline insights that feed directly into model updates, ensuring the assistant evolves with real‑world usage patterns. As retailers grapple with balancing personalization and scale, Lowe’s approach offers a blueprint for leveraging AI to drive both operational efficiency and enhanced shopper experiences.