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Industries
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Retail
Measure footfall, optimise sales conversion
Shopping Malls
Visualise traffic flow for tenant rental justification
Offices
Measure space utilisation and booking system
Libraries
Patrons counting, measure facility usage to justify funding
Washrooms
Demand-based cleaning management system
Transportation
Automated passenger counting system
Smart Cities
Pedestrian and vehicle counting system
Museums
Visitor counting and exhibit engagement
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Overview
People Counting for Retail Stores
“80% of retailers who implemented people counting systems experienced an average increase in footfall by 20%, resulting in a 15% increase in sales revenue.”
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.
- In/Out Counting
- Outside Traffic
- Staffs Counting
- Group Counting
- Turn in Rate
- Visit Duration
Trusted by businesses worldwide
Key Features
Increase Sales Conversion using Footfall Data
“According to a recent study, retailers that utilise people counting systems experience an average of 20% increase in sales conversion rates”
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.
Measure the ROI of Each Marketing Promotion
“Retailers who utilise people counting systems to measure the effectiveness of their marketing campaigns have experienced an average increase of 35% in marketing ROI.”
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.
Plan for the Right Level of Staffing
“Studies have shown that maintaining the right staff to footfall ratio can lead to a significant increase in sales conversion rates and customer satisfaction levels in retail stores.”
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.
Do You Have a Bid?
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 BidPeople Counter Demonstrates A Better Way to Track Your Business’ Performance
FootfallCam in Action
Watch VideosHow it Works?
Entrance Counting
Staff Exclusion
Product Engagement
Queue Counting (Retail)
Demographic Analytics
Queue Counting (Supermarket)
Check-Out Manager
Car Engagement
Why FootfallCam?
AI Powered 3D Stereo Vision People Counter
Equipped with superior processing power to run complex counting algorithms, up to 99.5% accuracy
10+ Dashboard & Report Templates
Visualise the footfall pattern in live dashboards and management reports for KPI review
Prescriptive Analytics
With intelligent business rules and machine learning to provide smart recommendations
3x Customised Apps
Automate the workflow and optimise operations across multiple business functions
Cost Effective
Flexibility to choose the most suitable people counting device that caters to specific use cases
Data Modelling
Combining data from devices and zones helps malls track progress with meaningful metrics
FaceCam™
AI Video Analytics
Facial Recognition (gender, age, mood)
Can be Installed at Some Entrances
Software Analytics Platform
FootfallCam Analytics Manager V9Leveraging footfall data to gain insights into traffic pattern and ROI tracking
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.
AI Assistant for Alerts & Recommendations
An artificial intelligence assistant that proactively alerts and suggests actions.
Continual Learning and Improvement
The machine learning algorithms constantly learns and improves its predictions over time.
Near Real-time Response
Enables timely and informed decision making, leading to increased operational efficiency.
Tailor-made Analytics
The analytics provided by the system can be customised to meet specific needs.
Apps / Dashboard / Reports
A multi-stakeholder tool equipped with workflow automation, dashboards, and reports.
Case Studies
See all Retail Case Studies“The people counting solution provided by FootfallCam is user-friendly and simple to install, while also offering remote support and readily available report templates.”
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