Interior analytics allows retailers to fully understand how shoppers move inside their stores, to identify the hot areas or departments, as well as the most recurrent shopping journeys. These are all relevant indicators of shoppers engagement across the store and its departments.
RetailerIN provides advanced analytics tools such as the most highly traveled routes within the store and how long shoppers remain in specific areas. Such knowledge can be extracted from the department level, down to the single product categories. This information can be analysed based on time of day and season. Once retailers have identified store high traffic areas, they can implement specific product planning and layout strategies, placing key merchandise in these highly traveled areas to drive conversion, improve sell-through, and promote merchandise. Similarly, this information can be used to ensure the optimal performance of promotional campaigns.
RetailerIN interior analytics toolkit lets retailers easily model their store, specifying departments, product categories, aisles, end caps. RetailerIN will then automatically start to compute actionable Key Performance Indicators (KPIs) to let retailers:
optimise store layout and displays by identifying under-visited areas;
improve customers shopping experience by identifying bottlenecks in shoppers flows and congested areas over time;
increase engagement by creating personalised shopping experiences for specific customers segments;
identify recurrent shoppers patterns;
create engagement with specific brands and promotional campaigns.
See how our customers benefited from this feature to enhance their business!