La réinvention du retail et de la grande distribution repose en grande partie sur le Data Streaming, qui joue un rôle crucial. Cette table ronde se concentre sur les différents cas d’utilisation, architectures et déploiements liés au Data Streaming.

1. Data Streaming Breakfast
Retail | CPG | Luxury
Kai Waehner
Field CTO
Confluent
Pierre Delivet
Director Sales Retail, CPG, Luxury
Google
Didier Girard
Co-CEO & VP Engineering
SFEIR

2. Proprietary + Confidential
Google Cloud
for Retail
11 Mai 2023

3. Proprietary + Confidential
In retail, transformation is more than a requirement. It’s a race
Disruptive Companies Shifting Customer Expectations
Real-time recommendations
Subscription models
Autonomous stores
On-demand delivery
AR / VR experiences
Seamless omnichannel
Shopping assistants
Customized offers
Order-ahead capability
Supply chain transparency

4. Proprietary + Confidential
Today, the right partner plays a new strategic role…
We accelerate your ability to transform
through data-powered innovation,
on your terms

5. Proprietary + Confidential
Google is uniquely positioned to help drive impact in each of these areas
Create a better customer
journey starting from a variety
of Google entry points, and
optimizing marketing from
journey insights
Increase traffic
Give shoppers a personalized
eCommerce experience with
AI-driven search,
recommendations, and
conversational interfaces
Improve conversion rates
Support ordering and
fulfillment, improve store agent
efficiency and critical curbside
pickup capabilities
Increase basket size
Leverage technology to
improve associate processes
and provide better customer
experiences
Decrease costs through
operational efficiency

6. Proprietary + Confidential
Leading AI/ML
Expertise
Best of
Google
Valued
Sustainability
Infrastructure/
security built for
billions of users
Industry-Aligned
Solutions
Operating the cleanest
Cloud in the industry by
eliminating all carbon
emissions since 1998
Leveraging
Cross-Google
synergies o provide
unparalleled capabilities
Using Industry-leading
AI/ML to solve complex
problems such as
demand forecasting
Leveraging the same
infrastructure that
powers Google Search
Applying expertise to
help retailers meet
customer needs &
operate profitably
By partnering with Google Cloud,
retailers gain access to the best of Google

7. Proprietary + Confidential
Reduce operational costs
with managed IT solutions
Operate efficiently, even
under resource constraints
Leverage large volumes of
customer and product data
for business transformation
Easily run powerful AI/ML
for better marketing,
forecasting, and insights
Digitize the store to deliver
AI-driven use cases for shoppers
and associates
Help associates better serve
customers by improving product
and service intelligence and
streamlining in-store processes.
In a rapidly changing
environment, power
ecommerce with reliability,
scalability, and flexibility
Quickly build new experiences
with a modular infrastructure
Become
Customer-Centric,
Data-Driven
Capture Digital
and Omnichannel
Revenue Growth
Create the
Modern Store
Drive Sustainable and
Efficient Operations
Google Cloud has positioned its retail solution strategy accordingly

8. Proprietary + Confidential
Common references
+

9. Merci

10. Data Streaming
in the Retail Industry
Kai Waehner, Field CTO

11. Real-time data beats slow data
Logistics
Sensor Diagnostics
Delivery Planning
ETA Updates
Payment
Fraud Detection
Risk Systems
Mobile Application
Retail
Inventory Management
Point of Sale
Loyalty Platform
Sales
Recommendations
Personalized Coupons
Pay by Walking Out

12. Data Streaming with Confluent
DWH
APP
STREAM
PROCESSING
CONNECTORS
ksqlDB
KStreams
APP
4) STREAM PROCESSING
Data Processing
Real-time Analytics
Stateless and Stateful
Business Applications
5) SERVERLESS
in the cloud
Fully-managed
Pipelines
Connectivity to
Data Infrastructure,
SaaS, AI/ML
Data Governance
3) DATA INTEGRATION
Filtering and Routing
Change Data Capture
Built-in Scale and Fault Tolerance
Oracle
DB
ORACLE CDC
SOURCE
PREMIUM
CONNECTOR
6) EVERYWHERE
Real-time Data Sharing
across Hybrid and Multi-Cloud
2) STORAGE
Backpressure Handling
Slow Consumers
Replayability
1) REAL TIME MESSAGING
Transactional Workloads
Analytical Workloads
7) PLATFORM
Security, Governance, Support, Expertise

13. Confluent is a complete Data Streaming Platform. Cloud-native. Everywhere.

14. Edge data synchronization to the cloud in real-time
E V E R Y W H E R E

15. TODO
Data Consistency across
real-time and batch systems
Walmart - End-to-End Supply Chain Control Tower
Example: Replenishment Workflow
Source:
https://www.confluent.io/blog/how-walmart-uses-kafka-for-real-time-omnichannel-replenishment
E V E R Y W H E R E

16. Omnichannel Up/Cross Selling
C O M P L E T E
Customer 360 across Website, Mobile App, On-Site in Store, In-Car, etc.

17. TODO
AO.com - Clickstream Analytics in Real-Time
Source: https://www.confluent.io/customers/ao/
C O M P L E T E

18. C O M P L E T E
Live Commerce with Data in Motion
Interact with the customer via social commerce.
Recommend products that need to be sold.
Provide context-specific pricing.
All automated. In real-time. At scale.

19. TODO
Source: https://medium.com/whatnot-engineering/scaling-our-data-stack-with-kafka-and-real-time-stream-processing-56554dcbb0fc
WhatNot – Live Actions with Interactive Selling
C L O U D N A T I V E

20. Archi Moderne
SI Event-Driven
20

21. 21
INTERVENANT
Didier Girard
co-CEO & VP Engineering SFEIR
Directeur Engineering WENVISION
“Pour rester compétitive et innovante,
l'entreprise du futur doit constamment
savoir anticiper et se préparer aux
prochains paradigmes technologiques.”

22. 22
SFEIR x GOOGLE CLOUD x CONFLUENT
Partenaire depuis 2021
Service & Training
Partenaire depuis 2012
Service & Training
Pour rendre son SI
compatible avec le futur, il
convient de s’entourer des
partenaires technologiques
les plus pertinents

23. THE WORLD IS CHANGING RAPIDLY
LINEAR
Historiquement
"Dans 50 ans, tout le
monde conduira une
voiture."

24. THE WORLD IS CHANGING RAPIDLY
EXPONENTIAL
Technologie
"Dans 5 ans, tout le
monde aura un iPhone
dans sa poche."

25. Volatility - Uncertainty - Complexity - Ambiguity
VUCA
THE WORLD IS CHANGING RAPIDLY
EXPONENTIAL
“NOUS SOMMES EN GUERRE”
"Dans 5 jours, tout le
monde sera bloqué à la
maison."

26. LES 3 PILIERS
du SI
04
26
"Un SI compatible avec le
futur s'appuie sur trois
piliers."

27. LES 3 PILIERS
Produit
04
27
"La culture produit
est orthogonale à la
culture projet."

28. LES 3 PILIERS
Plateforme
Platform = Product_A ⋂ Product_B ⋂ …
04
28

29. LES 3 PILIERS
Data
04
29
Données Fossilisées
Données Synchrones
Events

30. LES 3 PILIERS
Data
04
30
Data temps réel
Synergie parfaite
Confluent + Big Query

31. LES 3 PILIERS
Data
04
31
Métaphore

32. EVENT-DRIVEN
BUSINESS
03
32
Shift from
Big Data : “Big is better” to Stream Data : “Fresh is better”

33. “Les espèces qui
survivent ne sont pas les
espèces les plus fortes, ni
les plus intelligentes,
mais celles qui s'adaptent le
mieux aux changements.”
Darwin

34. www.wenvision.com
www.sfeir.com

35. Q&A

36. Merci