Mall operators need various types of information such as the number of shoppers that entered the mall within the last 15 minutes and the areas in the mall where they spent their time, in order to make short-term operational adjustments and long-term strategic plans.Mall People Counting Analytics Reports
Throughout the year, shopping centers host various events to attract crowds. Our machine learning algorithm helps evaluate the effectiveness of each event, suggesting which ones are successful in attracting the right audience and which ones need to be reviewed for improvement in the future.
Ensuring that there are sufficient helpers, security staff, and cleaners in shopping centres is essential as visitor traffic can vary. To maintain a consistent level of service, mall operators need to plan their staff roster based on the expected footfall.
By analysing footfall and sales data from tenants, our machine learning algorithms can evaluate the effectiveness of each store's location and recommend an optimal mix of tenants that will maximise revenue for both the tenants and the mall operators.
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Our AI-driven analytics platform offers an array of solutions to address various challenges users face, including shopper insights, catchment area demographics, missed opportunities, marketing ROI, and the impact of store upgrades and locations, as well as staffing requirements. With comprehensive footfall data and intuitive AI-driven recommendations, our platform empowers shopping mall managers, marketing managers, and operations leaders to make informed decisions, enhance the customer experience, and optimise operations, leading to increased sales.
Case StudiesSee all Shopping Mall Case Studies
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