People Counting System for Retail Stores
FootfallCam People Counting System helps retailers to have a better understanding of their store traffic, improve sales conversions and measure the effectiveness of marketing events.
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People Counting
FootfallCam helps businesses 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
WiFi Analytics
Staff Exclusion
InGroup Counting
Sales Conversion Analytics
In-Store Analytics
Provide in-depth customer engagement analytics within the zone of interest of a store, to have a better understanding of the user behaviour, and identify the most and least visited areas. With the analytics, retailers can create more effective localised plans and marketing strategies that better align with who your customer is.
Store Heatmap
Customer Shopping Journey
Product Level Engagement
Demographic Analysis
The in-depth visitor demographic analysis helps businesses to have a better profiling of their visitors by categorising the visitors into different age groups, genders and mood. By evaluating with other business key metrics, businesses can have better idea on which products/ campagins able to drive customer flow to store.
Customer Base Profiling
Facial Attribute Analysis
People Counting for Retail Stores
Measure
Measure the number of visitors at the store entrance. Get informed on the number of visitors in/out of the store.
Action
Visualise the footfall trend in real time with live dashboard for operation review and perform necessary actions in real time.
Review
Evaluate the monthly footfall trend against other key business metrics for management review and decision making.
People Counting for Retail Stores
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People Counting for Retail Stores
Footfallcam retail store solution can help retailers to accurately collect real time in/out data of the visitors of the store. With one unit of footfall counter installed at the entrance, it is able to identify which direction shoppers first head towards when they first enter the store. Footfallcam is able to identify different objects/personnel such as trolleys, wheelchairs, kids or staff via AI Analytics technology to better reflect visitor count.
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People Counting at Entrance
Footfallcam uses advanced people counting technology that is proven to be accurate in any condition. Using stereo vision, Footfallcam is capable of accurately detecting each person during high traffic or distinguishing multiple persons when walking close to each other. It could also avoid counting people that make a U-turn when entering the store. With one unit of footfallcam installed at the store’s entrance or an area with multiple entrances, it can track the direction of the shopper first heads toward when they cross the counting zone.
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Suitable for All Environments
Footfallcam uses advanced people counting technology that is proven to be accurate in different site environments. It is perfectly designed for stores with strong shadows, low light environment, low ceiling or high ceiling to accurately collect footfall data at the entrance with the latest stereo vision technology.
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Suitable for Different Types of Entrances
Footfallcam is able to accurately detect the number of people entering and exiting the store at different types of entrances by ensuring positioning of the counter is the most idea. The counting zone and counting lines will be drawn by our specialists according to the store’s environment.
Contact us at [email protected] or give us a call +44-(0) 1344 937275
If you’re interested in getting FootfallCam for your business, please contact us for further information. We’d love to hear from you, tell us more about what you need.
RetailFootfall™
FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Utilising 3D Depth map technology, capture by dual lens, FootfallCam people counter able to determine the height and size of moving objects, giving a more accurate depiction of the actual number of customer visits.
People Counting at Entrances
FootfallCam 3D people counters installed at the entrances can detect the number of people entering and exiting the premise. Retailers can gain valuable business insights from the people counting data provided by FootfallCam’s system.
Understand the store traffic with footfall data collected
Identify the peak hours and non peak hours of store traffic
Measure the sales conversion rate by comparing sales data against footfall data collected
Determine the height and size of moving objects, distinguish objects from people and differentiate kids from adults.
Data Analytics for Retailers
FootfallCam offers the most complete set of business metrics and the wide range of ready made reports generated from the data made available by the FootfallCam devices, allowing retailers to perform deep analysis and be able to have better visibility on their store performance level. Present the sales conversion rate with confidence to store managers.
Store traffic profile
Sales conversion optimiser
Determine the success rate of a marketing campaign
Measure store performance based on data-driven KPI
Excluding Staff from Footfall Counting
Combining Footfallcam 5D Pro™ and 5 different staff exclusion methods, the store staff can be identified and excluded from the traffic counting to provide a more realistic and accurate people counting data.
Anonymous identification of staffs
Plug-and-play, no configuration required for hardware
Cost effective and ease of deployment
Tailored for different use cases, including store staff, security personnels and delivery man
Features
Up to 99.9% Accuracy
Combining 3D stereoscopic image processing and AI video analytics together with advanced tracking algorithms, FootfallCam 5D Pro™ People Counter is optimised to achieve up to 99.5% accuracy, even in environmentally challenging conditions.
Overcome strong shadowing effect;
Count accurately with a swinging door at the entrance
Work well in low and high ceiling height
Allows accurate people tracking and maintaining high accuracy even in high traffic stores
Cover wide entrance with minimal number of counters
Wi-Fi Analytics
Combining 3D Counting together with the Wi-Fi capturing technology, the people counter is able to detect the number of smart devices within the range of Wi-Fi detection, allow Wi-Fi data to be normalized with the large sample size statically neutral video counting data to have an accurate picture of the overall customer shopping behavior.With this, the people counter is capable of providing in depth Wi-Fi analytics and business metrics
Dwell Time, Turn In Rate, Outside Traffic
Dealing with MAC randomisation
60+ Report Templates Available
With access to over 60+ different reports that helps to answer specific business questions, data gets turned into meaningful analyses so you can make data driven decisions to improve your business.You may request for custom reporting options by configuring your own metrics via the Custom Report builder feature. We can provide both live data, as well as historical data.
Reports for Targeted Functions
Dashboards for Operation Review
Reports for Management KPI
Custom Report Builder
Centrally Managed in Platform
An enterprise web-based control panel is designed for customers who are managing a large number of counters. It is a free service and retailers will be able to access the data via the control panel. FootfallCam is hosting the most powerful functions on behalf of the retailer, making it available even for 1 counter installation. Users' data are stored in the cloud by default without any limits on the amount of data stored and the duration stored on the cloud will be lifetime or until end of business.
Centrally Managed System
API: Data Integration
Health Check Monitoring
Provide the full analysis of traffic data for individual stores and across multiple store locations, region and the entire chain
Exclude Kids and Objects from Counting
Utilising 3D Depth map technology, captured by dual lens, FootfallCam 5D Pro™ can determine the height and size of the moving objects, and distinguish the objects from the people using AI algorithms. This helps to exclude the object, such as wheelchairs, trolleys, carts and strollers from the counting. In addition to the above, the technology can also differentiate kids from adults by height differentiation, providing kids counting solution.
Comparing Sales with Footfall Data - Sales Conversion
Sales Conversion is defined as the number of visitors that turns into a customer, reflects the more accurate method to determine the performance level of a store in comparison with looking at the number of transactions per store. Businesses will be able to analyse the unique profiling of each store and make customised responses, to improve the sales conversion.
Customise strategies based on store profiling
Configure sales target for each individual store
Track sales progress
Drive store staff by comparable achievement with other stores with same attributes
System Design
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People Counting at Store Entrance
The most popular and cost efficient people counting option for small format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
11x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
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Medium-format stores
The most popular and cost efficient people counting option for medium format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
11x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
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Stores with Wide Entrance
Suitable for retail stores with a large entrance (wider than a standard double door entrance), applicable to people counting for all formats of stores.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
13x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
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Stores with Multiple Entrances
Suitable for retail stores with more than one entrance, applicable to people counting for all formats of stores.
UsesEquipment UsedUses
Measuring the number of visitors enter the store (from multiple people counters)
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults, kids and objects (trolley, pushchair, wheelchair, and etc.)
MetricsEquipment Used
12x 3D Pro2 for entrance counting (1x for each entrance)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Case Studies
Contact us at [email protected] or give us a call +44-(0) 1344 937275
If you’re interested in getting FootfallCam for your business, please contact us for further information. We’d love to hear from you, tell us more about what you need.
RetailHeatmap™
Provides in-depth customer engagement analytics within the zone of interest of a store, to have a better understanding of the user behaviour, and identify the most and least visited areas.
Engagement Store Comparison
Utilising FootfallCam Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.
Product-level Engagement Analytics by Skeleton Tracking
To identify the market response to each of the product.
To measure the sales conversion in product level.
Avoid Sales Opportunities with Empty Shelf/Rack Detection
Staffs can carry out the quick replenishment of stock based on automated alerts received.
Reallocate the staff to focus on other priority tasks instead of focusing on stock level monitoring
Heatmap - Analyse Customer Behaviour within the Store
Combining CCTV cameras with FootfallCam Centroid will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store. Heatmap data can be combined with sales data to obtain the correlation between the customer engagement in a zone and the conversion of sales.
Reuse existing CCTVs, reduce project cost
Identify “Hot” or “Cold” zones
Measure Product Level Engagement
Create more effective localised plans and marketing strategies to better align with your customer
Visualise Customer’s In-Store Shopping Journey
Using path counting to visualise the traffic flow of visitors to determine which pathways are often used to plan placements of advertisement displays and digital signages while traffic heatmap provides in-depth view into how engaged shoppers are to determine the effectiveness of those displays and signages.
Reuse existing CCTVs, reduce project cost
Identify “Hot” or “Cold” zones
Measure Product Level Engagement
Create more effective localised plans and marketing strategies to better align with your customer
Heatmap Dashboard
Allow user to draw multiple area polygon at Heatmap Dashboard to obtain heatmap analytics for area of interest, to measure engagement in each zone at different time of the day, or different time of the year.
Area Utilisation Rate
No. of Engaged Customers
Dwell Time of Engaged Customers
No. of Passer-bys
Features
AI Video analytics
AI image processing technology is a key development in our people counting technology to ensure all counters across different locations can reach 99.5% accuracy.
Heatmap Analytics
Combining CCTV cameras with FootfallCam Centroid will produce heatmap analytics that helps retailers visualise customers’ shopping journey within the store.
Product Engagement Analytics
Utilising FootfallCam Centroid™, the customers’ movement can be monitored and analysed by re-using the video stream from the existing CCTV system.
System Design
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People Counting at Store Entrance and Area Counting
In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas with an additional people counter only.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement within an area of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
11x 3D Pro2 for entrance counting
21x 3D Pro2 for In-store shopper journey
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
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Medium-format stores
In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas within the areas of interest.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
11x 3D Pro2 for entrance counting
21x 3D Pro2 for point-of-sale display engagement tracker
32x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
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Full Coverage System
Provides full coverage of the entire floor space to track the customer in-store journey within the store in all areas.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
11x 3D Pro2 for entrance counting
21x 3D Pro2 for point-of-sale display engagement tracker
36x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Contact us at [email protected] or give us a call +44-(0) 1344 937275
If you’re interested in getting FootfallCam for your business, please contact us for further information. We’d love to hear from you, tell us more about what you need.
RetailDemographic™
Utilising FootfallCam Centroid™, the facial features of customers can be recognised and analysed using the video stream from your existing CCTV system.
Capture the Demographic Features of Your Customers
With the intelligent video analytics technology, the people counter can combine the feature to allow more in-depth analysis on the customer profiling like gender, age group and mood.
Reuse your existing CCTV system
Facial recognition with AI Video Analytics
Visitor verification, for e.g.: VIP customers , blacklisted individuals
Help businesses have a better profile of their customer base
Facial Attributes Analysis
The facial features, age group and gender of each customer can be recognised and analysed, it helps retailers to categorise their customers and plan for a more targeted sales and marketing strategy.
Age
Emotion
Gender & etc
Demographic Analytics Report
Analysing the demographic of your customer base with ready-made reports, determine if businesses are reaching out to their target audiences.
How many percent of your customers are male/female?
What are the age groups for each gender?
Did my customers have a positive/negative experience in your store
Contact us at [email protected] or give us a call +44-(0) 1344 937275
If you’re interested in getting FootfallCam for your business, please contact us for further information. We’d love to hear from you, tell us more about what you need.
System Design
People Counting at Store Entrance
The most popular and cost efficient people counting option for small format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
People Counting at Store Entrance and Area Counting
In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas with an additional people counter only.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement within an area of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for In-store shopper journey
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Stores with Wide Entrance
Suitable for retail stores with a large entrance (wider than a standard double door entrance), applicable to people counting for all formats of stores.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
3x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Medium-format stores
The most popular and cost efficient people counting option for medium format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Medium-format stores
In addition to people counting at entrance, retailers can measure the customer engagement, track the passerby within an area of the store, and identify the hot and cold areas within the areas of interest.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for point-of-sale display engagement tracker
2x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Medium-format stores
Provides full coverage of the entire floor space to track the customer in-store journey within the store in all areas.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for point-of-sale display engagement tracker
6x 3D Pro2 for In-store shopper journey (depending on the number of area of interest)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Large-format stores
The most popular and cost efficient people counting option for large format stores which requires footfall counting at the entrance.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Large-format stores
Multiple people counters at different entrances to provide full visibility on the traffic flow and area counting, and queue counting at checkout areas to better manage the opening/closing of checkout lanes
Uses
Measuring the number of visitors enter the store, from the main entrance or via lift or via escalator
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Identify the queue waiting time, queue length,and serving time
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
2x 3D Pro2 for entrance counting at main entrance
2x 3D Pro2 for entrance counting at lift/escalator
3x 3D Pro2 for point-of-sale display engagement tracker
3x 3D Pro2 for queue management (per checkout lane)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Queue Length
Average Queue Duration
Average Serving Duration
Store in store
Provides in depth analytics on the counting of passer-bys, turn in rate and customer in-store activity tracking after the visitors entered the concession stores
Uses
Measuring the number of visitors enter the store, from the main entrance or via lift or via escalator
Passerbys monitoring
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
2x CCTV cameras for Passerbys monitoring
1x CCTV camera for In-store activity tracking
1x FootfallCam Centroid for AI Video Analytics
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Average Dwell Time
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Supermarket
Suitable for supermarket, hypermarket and grocery stores - footfall counting at main entrance, tracking the promotional product engagement and optimising the opening/closing of checkout lanes with footfall prediction.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Identify the queue waiting time, queue length,and serving time
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
1x 3D Pro2 for point-of-sale display engagement tracker
4x 3D Pro2 for queue management (per checkout lane)
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Queue Length
Average Queue Duration
Average Serving Duration
Telco Stores
Understand the customer in-store shopping behavior by measuring and comparing the customer engagement rate across multiple product display areas.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
3x 3D Pro2 for point-of-sale display engagement tracker
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Car Showroom
In-store analytics to track the customer journey within the showroom by identifying the hot and cold areas, and measure the customer-product engagement for each of the display areas.
Uses
Measuring the number of visitors enter the store
Comparing sales data with footfall data or purchasing group
Measuring customer engagement across multiple areas of interest
Object Classification-Differentiating between adults,kids and objects (trolley, pushchair, wheelchair, and etc.)
Equipment Used
1x 3D Pro2 for entrance counting
4x 3D Pro2 for Heatmap
4x 3D Pro2 for Point-of-sale display engagement tracker
Metrics
Visitor Count (In/Out)
Visitor Count (Kids/Adult)
Outside Traffic
Turn in rate
Dwell Time
Returning customer
Live Occupancy Count
Sales Conversion
Group Count
Heatmap & Customer Engagement
Zone Analytics
Case Studies
CASE STUDY #1
Managing Multinational Rollout
A.S Watsons is the largest pharmaceutical retailer in the APAC region, with 5 different brands and 15,000+ stores globally.
Global rollout with multi geo-region server
Work with different business units to deliver centralised solution
Supporting all countries
End-to-end project management
Work with their preferred installers or FootfallCam partners
Integrate with their BI system
Multi-language UI and supports
CASE STUDY #2
People Counting for Independent Retail Stores
Finisterre is an outdoor apparel company with 9x retail stores in the United Kingdom.
Easy to install
FootfallCam remote support
Easy to use
Analytics platform with 60+ readily available reports
Easy to maintain
Automated health check and monitoring tools
No software subscription fees
CASE STUDY #3
Luxury Retail Store
Cartier has more than 200 stores world-wide and each of the deployment are carefully designed to suit the store
Discreet and Accurate
Flush Mounted Device on the ceiling
Aligns with the aesthetics of the store
Accurate under strong lighting/ reflection environment
Sales Conversion
Lower Footfall; store services and sales conversion is crucial
Staff exclusion tags to keep sales conversion accurate
Group counting feature to accurately count potential visitors
CASE STUDY #4
Managing Retail Chains
Joules is a fashion apparel store in the United Kingdom
High Accuracy Footfall Data
Consistently accurate in all environments with video proof
Enterprise Grade Software
Integration with BI System
Multi-user management
Visibility chain-wide performance
Provide workspace for sales managers
Roll-out Management
Managing installation schedule
CASE STUDY #5
Replacing Incumbent System
Pandora with more than 6,700 point of sale in more than 100 countries has replaced legacy Prism™ people counters with FootfallCam people counters.
Complete Business Solution
Hardware + Enterprise class software - Combining 3D counting, AI analytics and WiFi metrics
Lower Total Cost of Ownership
Competitive pricing - 30% lower than our competitors’ price
Reduced number of devices
Host Incumbent Data
Integration with existing devices
CASE STUDY #6
Store-In-Store/ Brand Concession
15x Concession Stores in the Departmental Store
Comprehensive Solution for Retail Chain
Caters even for store-in-store setup
Metrics Collected for In-store Analytics
Product-level Engagement
Store and product-level sales conversion
Area Traffic Performance
Turn in rate (Departmental store visitors that entered concession stores)
Marketing Effectiveness
CASE STUDY #7
Covid-19 Occupancy Control
Coop integrates FootfallCam with their automated door to control the access of visitors
Live Occupancy Control
Measures and manage occupancy limit
Integrated with Electronic Sliding Door
Automatically controls the access
Replaced security guard at entrance
Quick Deployment and Setup
Helps re-opening stores to be compliance with local government policy on the occupancy limit per store
CASE STUDY #8
Telecommunication Shops
Wind installed 950x devices installed in 2 months of deployments
Product Engagement
Measure the engagement of visitors with the products in terms of dwell time, heat map, touch point analysis
Returning Customers
Gauge the effectiveness of loyalty programs on store level
Visitors to service subscription conversion
Measure KPI of employees service level
Set target for employees
CASE STUDY #9
Large Format / Departmental Store
Metrojaya has 4 department stores and 70 specialty stores that occupy over one million square feet of floor space
Door Counting
Footfall-to-staff ratio
Marketing effectiveness
Staff planning
Zone Analytics
Reduced Number of Devices using Wi-Fi Counting
Flow Statistic
Service Desk Counting
Queue Counting
Cashier/till opening prediction based on footfall changes
CASE STUDY #10
Showroom & Experience Centre
Amway experience centre is fully equipped with FootfallCam for comprehensive in-store analytics
Comprehensive in-store analytics
People Counting + WiFi Analytics
Queue Counting
Meeting Room Utilisation
Tracking Customer Journey within Centre
Traffic Flow across multiple areas and floors
Product touch-point analytics
Heat Map
Business Insights and Workspace
Consultation tables utilisation and its conversion
Product-level sales conversion
Visit duration of “hot” and “cold” areas
CASE STUDY #11
Car Showroom
Toyota Showroom equipped with FootfallCam.
Track Visitor Behaviour
Real-time People Counting
Staff Exclusion
Customer Arrival Alerts
Group Counting
Product Engagement Workspace
Overview of Store Performance
Set Store Targets and Measure Progress
Measure Product Engagement
Past vs New Car Model Comparison
Dwell Time
Heat Maps
Consultation tables utilisation and conversion rates