De-risking the map: Why traditional site selection is failing modern restaurants
Emerging AI tools reshape site selection strategies for modern restaurants.
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The article explores how traditional site selection methods in the restaurant sector are becoming obsolete due to changing consumer behavior and working patterns. It highlights the importance of utilizing AI and location intelligence for more accurate real estate positioning. A webinar featuring Gladys Kong will further discuss these transformative analytics on June 23, 2026.
Why It Matters
This suggests that franchisees need to adapt their site selection strategies to incorporate more dynamic and data-driven approaches, which may enhance their competitive positioning and influence territorial decisions.
Traditional site selection methods for restaurants are becoming increasingly unreliable due to changing consumer behaviors and work patterns, particularly in the wake of hybrid work environments and suburban migration. As a result, restaurant operators are urged to rethink their location strategies, moving away from outdated data that often fails to reflect the current market landscape. In a June 23 webinar, Gladys Kong, CEO of Azira and an expert in data science, will discuss how dynamic, AI-powered analytics and mobile location data can provide insights into consumer behavior and optimal site selection.
Kong emphasizes that relying solely on historical data presents substantial risks, especially given the millions of dollars required to open a single restaurant unit. She highlights how evolving privacy regulations are necessitating a shift to consent-driven data strategies, which can reshape decision-making processes in real estate selection for restaurants. "The brands winning the real estate game are moving away from generalized AI models and rigid dashboards," Kong states, indicating a move towards more sophisticated systems that harness high-integrity location intelligence.
