Omni Channel Consumer Empowerment - GS1...Consumer- tokens to brand driven opt-in P roduct K ing R...

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Denis Vuckovac, Researcher, Auto-ID Labs ETH / HSG Omni Channel Consumer Empowerment Strengthening the role of the consumer in an omni-channel world. 5 th October, 2016

Transcript of Omni Channel Consumer Empowerment - GS1...Consumer- tokens to brand driven opt-in P roduct K ing R...

Page 1: Omni Channel Consumer Empowerment - GS1...Consumer- tokens to brand driven opt-in P roduct K ing R ivella R ot P roduktinformationen Al ternativen Empfehlen Pu nkte sammeln Rivella

Denis Vuckovac, Researcher, Auto-ID Labs ETH / HSG

Omni Channel Consumer Empowerment

Strengthening the role of the consumer in an omni-channel world.

5th October, 2016

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© GS1 2016 2

Auto-ID Labs: GS1’s research partner and focus on «Internet of Things»

• Auto-ID Labs are research partners

of GS1 and our research focus is

the “Internet of Things” in the

retailing context.

• Located at top-ranked universities:

- Cambridge, UK

- MIT, USA

- ETH + HSG, CH

- Fudan, CN

- KAIST, SK

- Keio, JP

• Links: www.autoidlabs.org ,

www.autoidlabs.ch

Sources: www.autoidlabs.org

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© GS1 2016 3

Auto-ID Labs are GS1´s partner for IOT-related research

Auto-ID Labs ETH / HSG in Zurich

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© GS1 2016 4

Not about a single transaction but building a relationship – learn and implement

Last Mile in eCommerce

Last Mile in Physical Retailing

• How much is shipping?

• How long does it take?

• Where is my customer?

• How expensive is it?

• Where can I get it?

• How much is it?

• Who is my customer?

• What does he want?

Custo

mers

Busin

esses

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Get to know your customer in high-resolution (time + individual)

Time Dimension Customer Granularity

Weekly

Daily

Real-time

Store Avg.

Household

Individual

Level of Transaction Data Aggregation

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Get to know your customer in high-resolution (time + individual)

Time Dimension Customer Granularity

Weekly

Daily

Real-time

Store Avg.

Household

Individual

Level of Transaction Data Aggregation

Industry Average

Situationof case study

Goal

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Fast paced environment struggles with lost sales and no adequate loyalty solution

Research Partner Situation General Context

• Largest convenience store chain

• Reaching 10% of Swisspopulation daily

• Two key peak hours due tocommuting

• Waiting queues cause lost sales

• Swiss grocery chains achieve loyaltyprogram penetration >80%

• However: our partner hasno information on the averageconsumer and cannot learn individualconsumer’s preferences

• No way to link transactions

Source: Insights from industry partner; Coop Publication; Capizzi & Ferguson (2005)

Our approach: Mobile Self-Checkout as base use case for high resolution customer relationships

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What do we know from today’s low resolution

Ø Items/ Basket

Ø Value/ Basket

1.7

7.5 CHF

Basket Stats Transaction Pattern

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Traditional solutions won’t do it…

Physical Self Scan Terminal

Additional devices

Mobile scanning, but payment at terminal

Terminals

Many not intuitive nor advertised, little used

Only at regular PoS

Self Checkout Mobile Payment

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© GS1 2016 10

…so we built our own…

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… and run it “in the wild” at three pilot stores at Zurich main train station …

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...to finally get to know the customers

Gender

Age 35-44 35-44 25-34 25-34 35-44

Train station

frequency4 4 4 3 4

Perceived

Lost Sales0 3 3 2 NA

Motivation Time saving Time saving Time saving Time saving

Buys what

Cold Coffee

Drink, Soft

Drink

Coffee to goCoffee to go,

SandwichSandwich Soft Drink

Buys when 07:55 05:53 08:05 08:08Morning/

Noon

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Gender

Age 35-44 35-44 25-34 25-34 35-44

Train station

frequency

4 4 4 3 4

Perceived Lost

Sales

0 3 3 2 NA

Motivation Time saving Time saving Time saving Time saving

Buys what Cold Coffee Drink,

Soft Drink

Coffee to go Coffee to go,

Sandwich

Sandwich Soft Drink

Buys when 07:55 Uhr 05:53 Uhr 08:05 Uhr 08:08 Uhr Morning/ Noon

...to finally get to know the customers

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But this is just the beginning…

Mobile Self-Checkout (Base Use Case that provides high resolution data)

Opportunity 3:Help them to

discover things!

Opportunity 1:Make them feel

special!

Opportunity 2:Engage them

more!

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Opportunity 1: Make them feel special!

Mobile Self-Checkout (Base Use Case that provides high resolution data)

Opportunity 3:Help them to

discover things!

Opportunity 1:Make them feel

special!

Opportunity 2:Engage them

more!

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© GS1 2016 16

Product King

Rivella Rot

Produktinformationen

Alternativen Empfehlen Punkte sammeln

Rivella Rot

Rivella

Von mir gekauft: 537x

Transmission of proof of purchase tokens to brandConsumer-

driven opt-in

Product King

Rivella Rot

Produktinformationen

Alternativen Empfehlen Punkte sammeln

Rivella Rot

Rivella

Von mir gekauft: 537x

Gratuliere! Du hast den Goldstatus

für Rivella Rot erreicht!

Zurück zum Produkt

Neues VIP-Level erreicht

How about a “frequent flyer program” for products?

Give them location-based product status tier levels!

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Opportunity 2: Engage them more!

Mobile Self-Checkout (Base Use Case that provides high resolution data)

Opportunity 3:Help them to

discover things!

Opportunity 1:Make them feel

special!

Opportunity 2:Engage them

more!

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Commuters have to commute back…

Number of Transactions with App during Weekdays

Average Number of all Store Transactions with App during Weekdays

We know they have more time on their way home, so how can we activate them?

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Build a personal channel with a customer to reward and incentivise future behaviour

VABINGO

Bingo-like Gamification

Elements

Personalised Playing Field

Trigger new actions

Receive Rewards

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Opportunity #3: Discover things!

Mobile Self-Checkout (Base Use Case that provides high resolution data)

Opportunity 3:Help them to

discover things!

Opportunity 1:Make them feel

special!

Opportunity 2:Engage them

more!

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© GS1 2016 21

Find the newest, special issue or the coldest Coke in town

7°C

3°C

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Auto-ID Labs ETH / HSG

Dr. Alexander Ilic, Director and Assistant Prof.

Denis Vuckovac, Researcher

+41 (0)44 633 84 09

www.autoidlabs.ch

[email protected]

[email protected]

ETH Zurich WEV G214

Information Management, D-MTEC

Weinbergstrasse 56-58

8092 Zurich