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SUPPORTING YOUR RETAIL AMBITIONS People Counter

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Page 1: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

SUPPORTING YOUR RETAIL AMBITIONS

People Counter

Page 2: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

People Counter for Retail Chains

2015 New Release | Model M5

5X Metrics in One Device

Combining 2 Technologies

Video Counting + Wi-Fi Tracking

Page 3: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

Video Counting

Combining 2 Technologies – Video Counting + Wi-Fi Tracking

We are the first in the world to combine video analytics counting and Wi-Fi deacon

tracking in one device, giving you 6 business metrics:

Wi-Fi Tracking

2) Outside Traffic

3) Dwell Time

4) Returning Customers

5) Cross Shopping

1) Footfall Counting

5X Metrics in One Device

Page 4: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

High Counting Accuracy of 95% or aboveEmploys the most advanced algorithm, Multilayer Background

Subtraction based on color and texture, solving the issues with

shadows and light level changes.

Bi-Directional CountingCounts IN and OUT traffic simultaneously

Incorporating a 180º fisheye lens, covering entrance width of

up to 12 meters at mounting height of 3.5m

Real-time DataAccessible from anywhere with Internet connection

Internal Data Storage up to 5 yearsCounting is not affected, even if network is down. And data

will be kept for retrieval when network is restored

1) Footfall Counting

Widest Door Coverage

Additional Features

◾ Wide Angle Lens

◾ Independent Unit with

Powerful Chipset

◾ 8GB Internal Storage

◾ Connect via Ethernet

◾ Discreet and Stylish

Page 5: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

2) Outside Traffic

• Footfall counter is a Wi-Fi hotspot itself

• It detects the Wi-Fi signal emitted by mobile

phones

• It distinguishes the counting data by their

unique ID

• Detects passer by outside the store and

giving you an outside traffic count

• Comparing this outside traffic with the

footfall data and giving you the store front

conversion rate

• Wi-Fi data is normalize with video counting

data Distinguishes distance from the door detected

by the signal strength

Page 6: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

2) Outside Traffic

A. Although the footfall is one of the peak of the

day, but the turn-in rate is similar to the morning

time which is low. Perhaps management need to

find ways to maximize the turn-in rate during this

time, e.g.:

◾ Hand out free samples at the store front

◾ Distribute flyers

B. Footfall is similar to lunch time, however with

the turn-in rate we can see it is much higher,

probably due to the

◾ marketing promotion at that time

◾ many yummy mummies shopping after

school hours

C. High outside traffic after store closing.

Management may need to consider in extending

store operating hours to catch the traffics

This data gives you the following insights:

Page 7: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

3) Dwell Time

A. Customer dwell time

decrease and sales

drop on this day,

perhaps there is not

enough staff to serve

customers

B. Customer dwell time

is high, operating team

can find ways to

increase customer

engagement to boost

sales

Measure how long customers stay inside store by tracking unique identifier emitted by each smartphone’s

Wi-Fi signals as they enter and exit the store.

By looking at the dwell time and sales transaction, management will be able to find the pattern matching

This data gives you the following insights:

Page 8: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

4) Returning Customers

A. Returning customers are relatively higher

during weekdays.

◾ Introduce loyalty discount or promotion

during weekdays to increase customer

loyalty

B. By comparing with other stores, management

will be able to evaluate which stores able to

retain loyal customers better

◾ Bad performing stores need to find ways

to serve customers better. For example,

promote loyalty program

Distinguishes if the customers have visited the store before by matching the unique identifier with previous

records.

Measure customer loyalty via the frequency and shopping habits of returning customers

This data gives you the following insights:

Page 9: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

5) Cross Shopping

A. Visited outlet and main store is high on this

week because it is the bank holiday week so

customers are more likely to travel far to visit

different stores

B. 2 or more store is high on this week probably

due to the stocks in store A is not enough and

thus customers will go to another stores to buy

Compare the unique identifier records from different stores to identify if the shoppers have visited other

stores before

This data gives you the following insights:

Page 10: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

Cloud-based Control PanelAllows retailers to remotely manage multiple counters

from a central location

Easy InstallationCounter will be delivered fully configured, so that it’s

ready to plug and play

Up to 5 hours verification study by FootfallCam

specialist

ReportingDashboard, data analytics and scheduled reports

Flexibility of Data HostingData can be hosted in either FootfallCam’s server or your

own server

Additional Features

Accuracy Audit

Integration with Other Business SystemE.g. EPOS system, Cognos, Business Object, etc.

Page 11: Presentazione standard di PowerPoint - Tekiotekio.it/wp-content/uploads/2016/01/Tekio-People-Counter-1.pdfTekio Srl Milano Supporting Your Retail Ambitions 4) Returning Customers A

Tekio Srl

MilanoSupporting Your Retail Ambitions

Technologies

First Generation: Beam Counters• Counts when a person or object passes

and breaks its beam.

• Not networked, involves each night

manually record counts from the device.

Second Generation:

Networked Footfall Counter

Third Generation: 5 Metrics

Counter (Video + Wi-Fi Counting)

• Thermal Counting: Uses array sensors to

detect heat sources

• 2D and 3D Video Counting: Computer

vision carries out its image processing to

recognize, track and count people.

• Video Counting: Uses the most robust image processing

algorithm - Multilayer Background Subtraction, based on

color and texture – to provide excellent counting

accuracy (90 – 95%)

• Wi-Fi Counting:

o Uses Wi-Fi receiver to pick up Wi-Fi signals emitted

from smartphones, counting people nearby

(outside traffic).

o Detect unique Wi-Fi beacon signals, giving

additional business metrics (dwell time, returning

customers and cross shopping).