Visualized Footfall & Visitor Behaviour
Key Features:
Deep Business Insight
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.
Visualize Business Data Through Different Lenses
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.
Drill Up & Down
Further export to your business system
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.
Advanced Zone Analytics - Traffic Flow
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.
Predictive Analytics
Predict next 7 days Footfall Traffics base on historical data & weather forecast.
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.
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Dedicated in software research, continuously improve data accuracy and algorithm to fit for different industries.
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