www. Footfallcam.com

In-store AnalyticsComprehensive Analytics Solution for Retailers

Heat Map Analysis with Custom Zone

Traffic Analytics by Different DepartmentsEach zone can be used as different business unit, e.g. Vitamins, Cosmetics, Hair Care, Personal Care and etc.In-depth, business intelligence (Promotional response, shoppers’ engagement) can be discovered.

Heat Map Analysis

- Using Video Heat Map to analyse engaged customer, passer-by and other customer behavior

- Wi-Fi Zone analytics- identify customer behavior in each zone and cross zone analysis

- Counter install at Entrance of different zone

Bubble Map- How many passer-by is engaged?

Distribution of number of Visitor

Analysis of Passer-­‐by and Engaged Customer

FootfallCam provides hourly data for the distribution of

- Number of Passer-by : number of visitor passed by the specific area

- Number of Engaged Visitor: number of visitor who stayed in the zone more than 5 seconds

To analyse how many passer-by had engaged in the specific area

In-store Analytics: Hourly Trend

Identify the traffic pattern based on:

- Number of Passer by- Number of Engaged Visitor- Total Store Traffic

E.g. During lunch hour on 1pm number of visitor coming in to the store is high, and most of the people just pass by the zone A without dwell too long toplay around compared to of engaged

with the virtual shelf, 9am-­‐12pm, the number customer is relativelyhigher, due to they might have

plenty of time to play around with the virtual shelf.

In-store Analytics: Daily Trend

Evaluate the marketing effectiveness via Daily Trend

The daily trend of the in-store analytics make it possible to evaluate the following key questions improve the visibilities of the performance

- Does the change of digital content in the Virtual Shelf improve the customer engagement?

- During the Christmas period, are the performance of the specific zone, e.g. perfume area has more engaged shoppers?

- How does the Loreal shampoo promotion help to increase engaged shopper in particularzone?

In-store Analytics: Sales Conversion

Evaluate the correlation between sales volume and the engaged visitors.

Gained behavioral insights by understanding the customer journey by the engagement, product exposure, sales volume on the specific zone

- E.g. Does the increase in the engagement in virtual make up shelf helps to improve the sales for cosmetic?

Information required:

Number of transaction by hour for each category of product

Business Deliverables

1. Gauge the popularity of specific brand in a zone

2. Hourly trend to identify the pattern of customer behavior, enhance understanding of different customer segments across zone, creating more effective localised plans and marketing strategies that better align with who your customer are.

3. Daily Trend to evaluate the effectiveness of different promotion offer, content changes (packaging, or kiosk content), comparable analysis for before the marketing campaign, during the campaign and after.

4. Combine with sales data to obtain the correlation between the customer engagement in a zone and the conversion of sales.

www. Footfallcam.com

About FootfallCamCompany Profile

About FootfallCamBusiness Intelligence Through Advance Technology

o Founded in 2002

o Original Manufacturer of People Counter Hardware and Software in United Kingdom

o Developed into a technologically sophisticated system with many world-first innovations

o Strive to improve our system in every aspect, both hardware and software, through thousands of research and development hours

o Global offices and distribution network

o Expand significantly without any outside Investment

FootfallCam Timelines

2002Launched Video Counting Device using Digital Video Recording

Penetrate in Retail Chains industry

20x Resellers in 3 continents

Launched our first 2D video counter + Wi-­‐Fi analytics

2003

2007

2006

August 2003Loccitane has installed more than 200+ stores across UK, Ireland and Australia

2D video countercombined with Wi-­‐Fi analytics inone device provides more business metrics forthe retailers to gain actionable insights.

FootfallCam Timelines

2008More than 50x Resellers in 30 countries

Expanding our market in Casino industry

Footfallcam Zone Analytics for shopping malls, large building

Launched Footfallcam 3D Plus-­‐ Stereovision technology

2011

2015

2013

FootfallCam TimelinesWhat has happened over the period

2016Auto Tuned in different retail environment in minimised the hassle after installed

60+ KPI and 15+ Reports available for different industries

Heat Map Analytics/ In-­‐store analytics available

Mission StatementCONTINUAL INNOVATION AND DEVELOPMENT

Through many years of research and development, FootfallCam has developed into a technologically sophisticated system with many world-first innovations. Our core values are our dedication to engineering excellence and to delivering business values to our customers. We constantly survey the market, introduce new technologies and enhance functionalities, to help our customers getting further business insights and benefit most out of the system. Continuous development of the product allows FootfallCam to stay at the forefront in the people counting industry.

We Aim to provide

Most Reliable Hardware-­‐ MBTF 25

years Most Feature-­‐ Rich Software

Most Accurate Data

Most comprehensive Software Suite or highest business value for

retailers Easiest to configure and install

We are the first in the world that combine people counting and Wi-Fi analytics into a single device. We are committed to continually maintain our market leading position, bringing a great deal of strategic foresight that our customers require.

Our Research and Development30,000 Research hours created an aesthetic hardware and software.We have combined over 100 years industry experiences in developing hardware and software of people counting solution

3D Video Image Processing

SGBM is the most accurate 3D stereovision imaging. Combining quad-core 1.2GHz processor with 96 core GPU, it could handle the intensive computational processing required by SGBM, and could achieve 25fps with 1024x768 resolution. Kalman Filter and Hungarian Algorithm are the best person tracking algorithms available.

Wi-­‐Fi Tracking Engineering

Combining video counting with visitors’ smartphone WiFi signals, visit duration, visit frequency and cross shopping metrics could be measured. Each smartphone carries an unique MAC address, by using statistical profiling and normalisation factor, big data set is collected and machine learning of its unique WiFi environments and visitor characterisations.

Our Research and Development30,000 Research hours created an aesthetic hardware and software.

Reliability and Stability Testing

Each firmware release undergoes a rigorous firmware stress testing to ensure it reaches 100% uptime under all physical and network conditions. Our lab test consists of over 150 test cases and 60 different environments. Self diagnostic and self recovery would be activated when issue arise.

Hardware Design

Each electronics components are sourced from the most trusted manufacturers and does not exceed 58% of its maximum capacity. Our material engineering team has created an aluminum unibody which maximise heat dissipation of up to 550% and maintains the component temperature of less than 55 Celsius. Wide Angle lens are used with Fisheye un-distortion to achieve widest stereoscopic view.

Our Research and Development30,000 Research hours created an aesthetic hardware and software.

Performance and Network Optimisation

Multithreading computing algorithms are optimised to ensure consistent video analytics and WiFi data processing under various network conditions. Billions of WiFi data points are collected each hours, and processed in our cloud computing facilities to enable deep learning of patterns and profile characterisations.

Artificial Intelligence and Deep Learning

Each counter is installed in an unique physical and radio environments, neural networks techniques are used to auto tune over 100 parameters to maintain 98%+ accuracy. Data mining and deep learning in the cloud servers are used to calculate the 15 key metrics presentation to customers.

Manufacturing Facilities of FootfallCam

-­ ISO 9001:2008, ISO 14001:2004 registered-­ aware of REACH regulations and associated

obligations, with CoSHH/RoHS practices and policies.

-­ Operates a Quality Management System that has gained BS EN ISO 9001:2000 certification

-­ Produced and tested by certified IPC specialists (CIS)-­ Conducted Emissions EMC test

Our Customers Worldwide

Our Customers Worldwide

©2016 Footfall counter is trademark application of FootfallCam in various jurisdictions.We reserve the right to introduce modifications without notice.

All other company names and products are trademarks of their respective companies.