Operative HöchstleistungWie Echtzeit-Daten zu Operational Efficiency beitragen

1. Webinar-Reihe: Realtime Retail Snack
DCCS & Confluent
6. Oktober 2022

2. 2
Operative Höchstleistung
Wie Echtzeit-Daten zu Operational
Efficiency beitragen
Sprecher heute:
Angelo Sebastianelli
Senior Partner Solutions
Engineer
2
Di, 27. September 2022, 12:00 - 12:30
Innovation
Sprecher: Kai Waehner
Di, 4. Oktober 2022, 12:00 - 12:30
Echtzeit-Bestandsmanagement
Sprecher: Stefan Pirer
Als Aufzeichnung verfügbar:
Do, 29. September 2022, 12:00 - 12:30
Kundenerwartung im Wandel
Sprecher: Thomas Renner

3. 3
Confluent liefert die grundlegende
Plattform für Data-in-Motion. Mit
Confluent können Unternehmen die
volle Leistungsfähigkeit
kontinuierlich fließender Daten
nutzen, um in der modernen digitalen
Welt innovativ und somit
erfolgreich zu sein.
Ihr Partner für zukunftsweisende IT-Lösungen.
Sie haben eine Vision Ihrer Geschäftsmodelle und Prozesse. Gemeinsam mit
Ihnen gestalten wir diese und setzen Ihre maßgeschneiderte IT-Lösung um.
Profitieren Sie vom Know-how unserer Consultants und IT-Experten, die Sie in
Digitalisierungsfragen beraten, ​​​​Ihre Lösung userzentriert designen und
umsetzen, sowie im Betrieb und mit persönlichem Support unterstützen.

4. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Retailers are Undergoing a Digital (R)evolution
4
BRICK-AND-MORTAR
Traditional store presence
for face-to-face
transactions OMNI-CHANNEL
Integrated experience
across multiple devices
and touchpoints
Digital / physical
integration
Real-time
inventory mgmt
Real-time offers
Loyalty programs
Mobile checkout
Empowered
workforce
Customer
personalization

5. Warehouses Warehouse
Mgmt System
Inventory
Systems
Billing
System
Merchandising
System
Price
Management
System
Replenishment
System
Shipment
System
Fulfilment
Centers
Warehouse
Mgmt System
Inventory
Systems
Billing
System
Merchandising
System
Price
Management
System
Replenishment
System
Shipment
System
Stores
Warehouse
Mgmt System
Inventory
Systems
Billing
System
Merchandising
System
Price
Management
System
Replenishment
System
Shipment
System
Merchants /
Suppliers
Warehouse
Mgmt System
Inventory
Systems
Billing
System
Merchandising
System
Price
Management
System
Replenishment
System
Shipment
System
Customers
Loyalty
Systems
Payment
Systems
Billing
System
Customer
Data
SCM Systems
CRM /ERP
Systems
Purchase
Behavior
Legacy Infrastructure is Not Fit for the Future

6. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Common Practice Architecture
6
Warehouses
Customers

7. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Data in Motion: What is an Event?
● Inform Warehouse to
prepare order
● Predict order waiting
time
● Update Inventory status
in real-time
● Update Customer
Loyalty Program /
collected points in real-
time
● Update product
master data in real-
time across all systems
● Start campaigns &
promotions in real-time
● Online Shop shows
real time inventory
● Customer pays at
POS station
● Provide Notifications
about order status
● Inform when order is
ready for pick-up
● Provide accurate
inventory status for inhouse
& online shop in real-time
● Updated Pricing,
campaigns and
product details
● POS gets updated
pricing and product
information
● Warehouse gets updated
product details
● Inventory gets updated
product details
● Cold outside? -> App
notifications (wait in car)
7
● App is updated with
real-time inventory
● App is updated with
updated product details
● Update the incentives
per product group

8. Increase Agility with Data in Motion
Master
Data
Sales
Transactions
Supply
Chain
Loyalty
Program
Campaigns &
Notifications
Data
Warehouse
Master
Data
Sales
Data
Special
Events
ksqlDB Schema
Registry
Enriched
Sales Data
Inventory
System

9. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Datastores
Web / Mobile
PoS Systems
SaaS
Applications
IoT Sensors
Legacy Apps
and Systems
Machine data
ML Engines
Ingest and
aggregate events
from everywhere
Join, enrich, transform and
analyze data in real-time
Store and persist events in a
highly available and scalable
platform
BI Tools
Standardize schemas to
ensure data compatibility
to all downstream apps
SIEM and
Observability
tools
Data lakes &
warehouses
Real-time alerts
and dashboards
Convert raw events into clean, usable data Unlock value
Bring all your data together
in real-time
Integrate with 100+
pre-built connectors
Applications
How Confluent Works

10. Automate and Optimize Supply Chain
Store
Data
Item
Data
Sales
Data
Stock
Data
Returns
Data
OMS Events
DC Events
FC Events
Store Events
.com Events
Merchant
Inventory
Status
Fulfill Order /
Shipment
Shipment /
Tracking
Fulfill Order /
Shipment
Sales Order /
Updates
Sales Order /
Updates
Warehouse Logistics Store
Manufacturing
Online Marketplace
/ Customer
Business-ciritial
apps and enterprise
services
Data lakes /
Data warehouses
CRM System
Shipments /
Fulfillment /
Orders

11. Real-time Omni-channel Inventory Management
Orders Events
Store Events
Dist. Center Events
Fulfillment Events
Web and Mobile Events
● Inventory
● Price
● Product
● Product SKU
● Store
● Sale
● Order status
● Laws and
regulations
● Location
Downstream systems
and more...
Bring all your data together
Schema
Registry
Long-term
storage
ksqlDB
Integrate data sources from new merchants
and vendors with standardized schemas
1
2
3
1
2
3
Build streaming applications for omni-channel
customer experience
Store data in long-term cost-effective storage
to run predictive models on your inventory

12. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Integrate Data at the Edge
12
Global Inventory
Management
Item Availability
Customer
Data
Loyalty
Info
Payment
Data
Purchase
Behavior
Streams of real time events
Loyalty
System
Local Inventory
Management
Item Availability
Discount data
Payment data
Point of
Sale (POS)

13. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Build a Hybrid Retail Architecture
Customer
Data
Loyalty
Info
Payment
Data
Purchase
Behavior
Streams of real time events
Customer
Data
Loyalty
Info
Payment
Data
Purchase
Behavior
Streams of real time events
Customer
Data
Loyalty
Info
Payment
Data
Purchase
Behavior
Streams of real time events
In store In store
CRM Customer data
Manager
Get Report
3rd party
service provider
(payment processing,
fraud detection…)
Context-specific
real-time upsell
Customer Customer 13

14. The Central Nervous System of the Modern Enterprise

15. 15
400 USD zum freien Testen
+200 USD Credits on top mit folgendem
Code: RETAILSNACK200
URL:
https://www.confluent.io/de-de/confluent-
cloud/tryfree/?utm_campaign=tm.fm-emea_cd.we[…]l-
snack.dach&utm_source=(unknown)&utm_medium=ondema
ndwebinar
Wir haben noch etwas für Euch:
Confluent Cloud Voucher Code Workshop
In einem kostenfreien ½ Tages
Workshop analysieren wir mit Ihnen
gemeinsam die Anforderungen Ihrer
Kunden und Anwender auf Echtzeit
Use Cases und evaluieren Ihre
bestehenden Batch Prozesse auf
Echtzeitanforderungen.
Di, 27. September 2022, 12:00 - 12:30
Innovation
Sprecher: Kai Waehner
Di, 4. Oktober 2022, 12:00 - 12:30
Echtzeit-Bestandsmanagement
Sprecher: Stefan Pirer
Als Aufzeichnung verfügbar:
Do, 29. September 2022, 12:00 - 12:30
Kundenerwartung im Wandel
Sprecher: Thomas Renner

16. 16
Euer Kontakt zu uns:
kai.waehner@confluent.io hpoelzl@confluent.io
stefan.pirer@dccs.at
thomas.renner@dccs.at asebastianelli@confluent.io
Di, 27. September 2022, 12:00 - 12:30
Innovation
Sprecher: Kai Waehner
Di, 4. Oktober 2022, 12:00 - 12:30
Echtzeit-Bestandsmanagement
Sprecher: Stefan Pirer
Als Aufzeichnung verfügbar:
Do, 29. September 2022, 12:00 - 12:30
Kundenerwartung im Wandel
Sprecher: Thomas Renner

17. Thank you