Measure footfall, optimise sales conversion
Visualise traffic flow for tenant rental justification
Measure space utilisation and booking system
Patrons counting, measure facility usage to justify funding
Demand-based cleaning management system
Automated passenger counting system
Pedestrian and vehicle counting system
Visitor counting and exhibit engagement
Queue management system for QSR
Passenger flow monitoring system
Footfallcam provide a powerful management tool for retailers by a comprehensive sets of reports and analytics. Retailers could quickly gain the insight to the seasonal traffic patterns, customer trends and support their operational and marketing decision. Retailer can access to all the key metrics or parameter, and drill down for a further insight, e.g. From overall trend, you can see national average dwell time is dropping, and you may want to drill down to see which store has the most impact on the national average or further compare with other stores.
FootfallCam understands the importance of different managerial level and their business requirements and hence designed the powerful analytic for CEO, regional manager, store manager, marketing manager for actionable insights. All the data collected can be presented in different type of graphs and even pivot table so that the users of the software can have a clearer picture of all the data presented.
Data Analytics workspace which allows retailer to roll up and drill down the data to see the further deep insight of the visitor behavior. Retailers could quickly gain the insight to the seasonal traffic patterns, customer trends and support their operational and marketing decision. User can identified the patterns and carry out holistic analytics with minimal training. API are available to import or export data to and from a system. Retailers could also export the data to their own business system to generate their in-house business reporting.
Provides insights into the visiting paths of each shopper, where the customer journey starts and where it ends. This gives a clear visualisation of where the customers are going, and at what time of day is the traffic most congested.
Footfallcam able to deal with the complex mathematical framework (data mining, machine learning, predictive modeling) to generate the prediction based on last year trend, weather, temperature, weekly trend, bank holidays and other variables. Predictive analytics allows retailers to make advance decision like staff allocation, stock availability for improving business processes to meet specific organization goals.
Footfallcam work with a global network of reseller to offer local service to our customerFind out more
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