By gaining valuable insights into shopper behaviour, shopping malls can optimise operations, justify rental rates, and ultimately improving profitability.
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.
By using footfall data to track shopper traffic during mall marketing events, mall operators can accurately measure the success of their marketing efforts, with some reporting an average increase of up to 30% in sales during these events.
According to a survey conducted by the International Council of Shopping Centers (ICSC), 76% of shoppers indicated that they would be less likely to visit a shopping center if they had a negative experience with customer service.
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.
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.
An artificial intelligence assistant that proactively alerts and suggests actions.
The machine learning algorithms constantly learns and improves its predictions over time.
Enables timely and informed decision making, leading to increased operational efficiency.
The analytics provided by the system can be customised to meet specific needs.
A multi-stakeholder tool equipped with workflow automation, dashboards, and reports.
Combining four different counting technologies provides varying degrees of data granularity .
Visualise the footfall pattern in live dashboards and management reports for KPI review.
With intelligent business rules and machine learning to provide smart recommendations .
Automate the workflow and optimise operations across multiple business functions.
Flexibility to choose the most suitable people counting device that caters to specific use cases.
Combining data from devices and zones helps malls track progress with meaningful metrics.
Footfall.in - AI Driven Traffic Intelligence
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