FootfallCam helps retailers to track the footfall traffics across multiple stores, evaluate the performance of your store compared to similar retail stores by benchmarking your sales opportunities with the industry average, utilise the business metrics to identify top and least performing stores and use this as a base point to improve your business as well as optimise the staff allocation.
Trusted by businesses worldwide
The FootfallCam people counting system, when combined with retailers' sales data, provides a powerful tool for optimizing sales conversion. By analysing the number of visitors and comparing it to the sales data, retailers can gain insights into how well their store is performing and identify areas for improvement, and make data-driven decisions to maximise their sales potential.
Throughout the year, retailers host multiple marketing campaigns. Our machine learning algorithm can evaluate the effectiveness of your events by providing insights on which events are successful in attracting the right audience and which ones need improvement for the future.
Having the right staff to footfall ratio is crucial for retail stores as it can directly impact customer experience and sales performance. Finding the optimal staff to footfall ratio is essential to provide excellent customer service and maximise sales while keeping costs under control. With FootfallCam's people counting system, retailers can accurately measure footfall traffic and make informed decisions about staffing levels to achieve the right balance.
We welcome bids of all sizes and all industry, regardless of whether they are at an early or later stage of the bidding process, we are eager to participate in your bids and collaborate with a partner to provide the best solution for your business needs.Invite Us to Your Bid
FootfallCam in ActionWatch Videos
Equipped with superior processing power to run complex counting algorithms, up to 99.5% accuracy
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
Find more FootfallCam People Counter and IoT Sensor SeriesExplore Products
3D Stereo Vision + AI Analytics
Supports ceiling height of 2.1m to 4.5m
Suitable for All Retail Store Entrances
AI Video Analytics
Facial Recognition (gender, age, mood)
Can be Installed at Some Entrances
Software Analytics PlatformFootfallCam Analytics Manager V9
Our AI-driven analytics platform offers an array of solutions to address various challenges users face, including footfall insights, peak hours, catchment area demographics, missed opportunities, marketing ROI, and the impact of store locations, as well as staffing requirements. With comprehensive footfall data and intuitive AI-driven recommendations, our platform empowers sales directors, 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.
Case StudiesSee all Retail Case Studies
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