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Discover The DollarsIn Your Security Videos!

Sample Dashboard(Based on CCTV footage from several stores)

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Quick Notes

• The data presented here is hypothetical and meant to show a sample of the information that can potentially be gathered, analyzed and diagnosed using the Ideotics platform. Content of actual dashboards generated for each client will depend on the quality and coverage of the CCTV footage submitted by them and may appear significantly different.

• While the core data in this sample is extracted from actual CCTV footage, some changes have been made to demonstrate specific features of the Ideotics platform better. Please note that this data cannot be used for drawing any conclusions.

• The dashboard is based on the output of several cameras at different stores. Accordingly, data may not correlate / be consistent across slides.

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Shopper Count

Arrival Times

Groups / Singles

Time Spent

Exit Path

Gender, Age, Attire ++

Bag or Cart

Levels

Location

Arrivals

Appearance

Demos / Activites

Customer Chats - Number

Heat Map

Customer Chats - Time

Shopper visits by aisle

SKU Related Behavior

Spillage

Time at Cashier

Stock Refill times

Planogram Compliance

Product Facing

Promotion Sightings

Stock-out Durations Traffic Flow

Aisle Correlations

Endcap Attention

SHOPPERS

S1

STAFF

S2

SPACE

S4

STOCKS

S3

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SHOPPERS

S1

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149 Males, constituting

67% & 74 Females (33%)

Business Trigger:

Groups of 2 form over 60% of Shoppers – highest carting sub-set. Groups larger than 2 do not show carting behavior

S1

Demographics

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Arrivals

Shopper Count

S1

Business Trigger:

Arrivals peak at different times for males and females. Can we change promotions dynamically at peak times?

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Time Spent

Average: 5:55; Min 2:00; Max: 2:53

S1

Business Trigger:

Men are leaving too early! Can we add promotions of interest to Men, at least during their peak shopping times?

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Time Spent

S1 Business Trigger:

Groups A & C are spending longer in store. Does this correlate with spend?How can we make the store more appealing to other groups – especially if they are more well off?

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SKU Related Behavior

S1

Business Trigger:

Women are clearly more engaged! How can we engage Men better?How can we convert the engaged Women from Shoppers (Take None) to Buyers (Take one or more)?

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Exit Path

S1B-Left B-Right

B-Straight

F-Left F-RightF-Straight

Business Trigger:

How can we leverage adjacencies in Shopper preferences to enhance revenues & shopper convenience?

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Indecisive*

S1

Business Trigger:

How can we reduce uncertainty to enhance shopper value and increase revenues? (Confused / unsure Shoppers may indicate lack of clarity in Aisle / Shelf signage)

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Groups

S1

Business Trigger:

Can we launch targeted promotions for specific groups?

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Business Trigger:

How can shopper colour preferences & dressing style help merchandise selection / branding?

S1

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Based on Shoppers who “cart” products vs others

Business Trigger:

MORE LIKELY TO BUY:• Seniors & Males (in Men’s

wear area)• Shoppers carrying bags• Shoppers coming in from

the far side of the camera (face to camera)

LESS LIKELY TO BUY:• Youth and Children (may

be influencers)• Fitness as an indicator of

buying needs deeper investigation

S1

Customer Profiling

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STAFF

S2

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Male=3 Female=4

Profile & Behaviour

Appearance

Staff ID

Arrival Time

S2

Business Trigger:

How can we use frequency of critical activities and quality of service to develop & monitor KPIs?

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Business Trigger:

Location of Staff identifies specific staff members, their attire (vs policy) and the specific activity they engaged in, with frequency. Use this as a measure for meeting KPIs to drive efficiency & effectiveness.

S2

Staff Appearance & Activity

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STOCKS

S3

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Shelf Reject Took Reject% Took% Total

AO 0 1 0% 100% 1

AC 9 2 82% 18% 11A2 23 4 85% 15% 27AB 13 2 87% 13% 15A4 43 6 88% 12% 49A1 23 3 88% 12% 26

A6 80 6 93% 7% 86

A7 30 2 94% 6% 32

A5 43 2 96% 4% 45

A3 6 0 100% 0% 6A8 10 0 100% 0% 10

OTHER-X 27 0 100% 0% 27A1

A8

A2

A4

A5

A6

A7

AA

AB

AC

Other-X

S3

Stock movement by shelf

Business Trigger:

• AC, A2 & AB reflect high percentage of carting / selection.

• A6, A4 & A5 show high shopper interest but high rejection. Causes: Pricing? Quality?

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Shelf # ADD STOCK REARRANGE Total

A1 1 1 2

A2 0

A4 1 5 6

A5 0

A6 2 2

A7 1 2 3

A8 4 4

AA 1 1

AB 1 2 3

AC 2 2

Total 6 17 23

Business Trigger:

• No activity @ Shelf A5 reflects low carting by shoppers; @ Shelf A2 is despite high carting.

• Hi Activity @ Shelf A4 suggests changing display style. Move to hangers rather than on shelf?

S3

Stock-outs & Replenishment

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Stock off-take by segment

S3

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SPACE

S4

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# 16 Receives Maximum Traffic!# 15, the Least

S4

Heat Map by Shelf

A16A6

A13 A3

A17A12

A14

Business Trigger:

• Should we widen the aisle space in the high traffic areas?

• Should we disperse the items so shoppers visit other parts of the store and get exposed to other merchandise?

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Shoppers @ Aisle / Shelf

SPACE

Business Trigger:

• # 6 Has Maximum “Stopping” Value!• # 3, 12, 13 reveals intriguing behavior

– “commodity products”(?)

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Srikrishna Vadrevu

Email: sri@sigmax-e.com

+1-408-660-8126

+601-2221-2553

Please consider the environment before printing this document

Srikrishna Vadrevu

http://operations-excellence.blogspot.com/Blog

www.sigmax-e.com