Retail location analytics for site selection and network expansion

Retail location analytics is crucial for making informed site decisions by using geographic, demographic, and foot traffic data combined with internal performance metrics to evaluate market potential and store behavior. Geographic information systems (GIS) facilitate the visualization and interpretation of spatial data, enabling retailers to optimize their store networks and make data-driven decisions about where to open, close, or expand stores. Key components include diverse data sources, a location engine for spatial analysis, dashboards for visualization, and business logic for identifying risks and opportunities. Retailers employ methods like trade area analysis, site selection analysis, cannibalization analysis, and market gap analysis to strategically position stores and minimize expansion risks. Despite challenges like data fragmentation, outdated datasets, and complex tools requiring GIS expertise, solutions like Felt offer integrated platforms that streamline data analysis and decision-making, allowing retailers to adapt quickly to market changes and enhance competitive edge.