What: Lotte Department Store scales AI-driven analytics, achieving a 400% increase in usage, 90% efficiency gains, and democratized data access for non-technical users.

Why it is important: The initiative highlights the critical role of data governance, external data integration, and workforce innovation in enabling agile, data-driven decision-making.

Lotte Department Store has rapidly scaled its AI-driven analytics capabilities, achieving a 400% increase in advanced analytics usage and a 90% improvement in operational efficiency across business teams. By deploying purpose-built AI agents and a governed semantic layer, Lotte has democratized data access, enabling non-technical users to interact with complex data through natural language and receive consistent, actionable insights. The integration of external data sources, such as credit card transactions and public market data, has further enhanced customer understanding, merchandising strategies, and competitive positioning. This transformation has shifted Lotte from fragmented, analyst-dependent reporting to enterprise-wide, agile decision-making, streamlining operations across more than 300 dashboards and supporting over 9,500 AI-powered analysis cases in six months. Lotte’s approach reflects a broader industry trend, as leading department stores invest in data governance, external data integration, and workforce innovation to drive productivity, strategic alignment, and competitive advantage in a rapidly evolving retail landscape.

IADS Notes: Lotte Department Store’s rapid scaling of AI-driven analytics and the deployment of purpose-built AI agents mark a significant leap in digital transformation for the Korean retail sector. By integrating a governed semantic layer and expanding data access to non-technical users, Lotte has democratized decision-making and improved operational efficiency by 90%, completing over 9,500 AI-powered analysis cases in just six months. This approach mirrors Galeries Lafayette’s multi-year digital transformation, where unified performance management systems and advanced analytics have enabled more agile, objective, and collaborative decision-making across the organisation (La Revue du Digital, April 2026). The shift to AI-driven, natural language analytics and the integration of external data sources reflect a broader industry trend, as leading retailers like Walmart and Sephora leverage AI for efficiency, customer experience, and revenue growth (McKinsey, May 2026; BCG, April 2026). Lotte’s transformation is further supported by a new expertise-based HR system, fostering a dynamic, future-ready workforce to meet the demands of a rapidly evolving retail landscape (The Chosun Daily, August 2025). Collectively, these initiatives underscore how AI-powered analytics, data governance, and workforce innovation are becoming critical drivers of productivity, strategic alignment, and competitive advantage in global department store retail.

Lotte Department Store scales retail analytics with Strategy AI