Overview:
Lowe’s Home Improvement, a major U.S. retailer with over 1,750 stores and 300,000 associates, has undertaken a comprehensive AI-driven transformation to modernize its retail operations and elevate both customer and associate experiences. Leveraging NVIDIA technologies including Omniverse for 3D digital twins, DeepStream for computer vision, and GPUs for real-time AI inference. Lowe’s integrates generative AI, simulation, and edge intelligence across its physical and digital channels. The initiative addresses challenges around customer guidance, rapid product discovery, and operational efficiency by unifying advanced AI into customer-facing tools, associate support systems, and store planning workflows.
Key Features:
Implements generative AI for customer guidance and project support through the “Mylow” virtual assistant.
Equips associates with AI powered companion tools that provide instant product knowledge and service assistance.
Deploys edge based computer vision via NVIDIA DeepStream to detect customer needs and enable proactive support.
Builds and continuously updates digital twins of more than 1,750 stores to model layouts, inventory, and customer flow for simulation and optimization.
Enhances 3D asset creation using AI driven 2D to 3D conversions to expand virtual model catalogs.
Performs virtual planogram testing to evaluate layout scenarios before physical changes, improving efficiency.
Results & Impact:
Achieved 98% neutral to positive customer reactions with the “Mylow” AI advisor.
Enabled 8,000 AI assisted engineering code reviews weekly, speeding development cycles.
Deployed AI powered support tools across stores, improving customer assistance and product discovery.
Expanded more than 30,000 item 3D assets with cost efficient AI generation.
Maintains store digital twins updated throughout the day, enhancing operational insights and merchandising decisions.
AI Technology:
AI Model Types: Generative AI/LLMs (for customer and associate conversations), Computer Vision models (real-time insight), 3D simulation models for digital twin environments.
AI Purpose: Automate assistance, classify shopper behavior, simulate store layouts, enhance situational awareness, and generate virtual content.
Application Type: Retail operations, Customer service, Merchandising planning, Associate support
Target Users:
- Store Associates
- Retail Operations Managers
- Merchandising & Planning Teams
- Customer Experience & Service Teams
- AI & Engineering Development Teams