the future of the future … belongs to intelligent
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1Copyright © 2017. Infor. All Rights Reserved. www.infor.comInfor Confidential 1
The future of the future … belongs to intelligent networked companies
Infor, August 2018
2Copyright © 2017. Infor. All Rights Reserved. www.infor.comInfor Confidential
The power of networks
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State of the market
Sellers FinancialInstitutions
LogisticsProviders
Buyers
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State of the market: From Source to Delivery
OUTBOUNDINBOUND
E N T E R P R I S E
80% of the data needed to effectively runa global supply chain resides with partners
Suppliers Manufacturing Distribution Channels / Customers
Plant 1
Near Source
ContractManufacturer
Plant 1
LSP
Supplier 1
Supplier 2
Transport 1
DC
3rd partydistributor
Transport 2
Retail 1
Retail 2
Retail 3
LSP
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Information model for the Supply Chain Network
Many versions of truth
Traditional supply chain data flows Infor’s commerce networkSingle source of truth
Shipment InfoSupplier
Finance Provider
Customs Broker
3PL
Ocean Carrier
Inland Carrier
Control Tower
Enterprise
Shipment
Orders, Shipment and
Inventory
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T R A D I T I O N A L S U P P LY C H A I N S
Are not able to compete
Traditional Networked
Silos
Manual
Spreadsheets
Rigid
Support Business
In-side out thinking
Point-to-point connections
Firefighting
Enterprise thinking
Out-side In thinking
Collaborative
Digital supply network
Big Data • Machine learning • IoT
End-to-end
Automated
Proactive
Flexible
Drive Business
…... and wont survive
7Copyright © 2017. Infor. All Rights Reserved. www.infor.comInfor Confidential
Suppliers
OEMs
ShippersCarriers
Brokers
Forwarders
3PLs
Banks
Warehouses
Dealers
Forecasts
Orders
Invoices
ShipmentsPayments
Products
Inventory
8Copyright © 2017. Infor. All Rights Reserved. www.infor.comInfor Confidential
Supplier
Finance Provider
Customs Broker
3PL
Logistics ProviderCarriers
Enterprise
Order
Invoice
ASN
ASN
Inspection Certificate
Invoice
Customs
Invoice
Change
Order
Invoice
Accounts
Payable
ASN
Information Model for Network Orchestration
• All parties operating on a
shared platform
• Every party represented
once
• Single shared view
• Digital automation of supply
chain processes
• Multiple ways to connect
Single version of the truth
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Digital Supply Chain Collaboration: Manufacturers/Distributors
OEM
MANUFACTURER
FINANCIAL INSTITUTIONS
LOGISTICS PROVIDERS
ERP
ERP
WMSTMS
FIN
RAW MATERIALS
SUPPLIERS
TMS
ERP ERPERP
FINFIN
COMPONENT SUPPLIERS
ERP ERP ERP
Infor
Global
Commerce
Book Carriers & Track Shipments
Confirmation & Collaboration
Customer Orders
Orders to Suppliers
Order Collaboration
Book & Tender
Transportation Sourcing
Supply Chain Visibility
Book Carriers
Respond to Tenders & Take Bookings
Track Shipments
Invoices
Financing
Financing
Payments & Invoices
Payments
Freight Invoices & Audit
ERP
Order Collaboration
Forecast
Collaboration
RETAILERS
ERP
ERP
Order Collaboration
Payments & Invoices
Track Shipments
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Next Generation Supply Chains
Network
Cloud
Single source of truth
Multi-tier
Network insights &
benchmarking
Digital
Real time information
More accurate
Process automation
Insights
Collaborative
Real time data sharing
and collaboration
Faster decisions
Ensures better
alignment
Transparent
Visibly to all parties
Better insights
Increased
responsiveness
E2E visibility: origin to
final delivery
Intelligent
More predictive &
prescriptive
Machine learning
Self-actuating
Resilient
Financially healthy
Secure
Compliant
Early notice of supply
chain disruptions
Value for all parties
Func t ion as In te rconnec ted Networks : More ag i le , respons ive and e f f i c ien t
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IOT & MHE Extensibility
Document
ManagementWork flow
Alerts & Event
management
Integration
Social
Collaboration
API
Next Gen WMS + Advanced Technology Platform
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Infor Next Generation Networked WMS and MHE
Infor Open Network
Transmits instructions from SCE to WCS
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Modern Digital Technologies Enhance Visibility
Where it was, is and will be.
Real time
Granular
End-to-end
Where it was
…is
and will be
Network IoT Machine
LearningIn-Memory
Data
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Live: Real Time Visibility with IoT
Road
• 400+ GPS device types• + EDI 856, 210, 214
News Feeds
Social Media
Weather
Disasters
GPS / AIS
Ocean
• Largest Ocean network• + EDI 301, 310, 314
Air
• All 100,000+ daily flights• + EDI 856, 210, 214
Risk
• Rule-based filers• Location-based services
GPS / Telematics Flight Status
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R E A L T I M E V I S I B I LT Y R E Q U I R E S M O R E T H A N J U S T I O T
Continuous Visibility: Example
Carrier / 3PL DCCarrier / 3PL
Augmented logistics processes combining EDI messages with real-time GPS
IoT vendor data lacks
supply chain context
Execution data doesn’t
provide full visibilityMilestone-only approach
limited by speed and scope
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W E L C O M E T O
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Katherine Coleman JohnsonNASA research mathematician
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A . I . T H AT M A X I M I Z E S H U M A N P O T E N T I A L
EvolvingAI Toolset
EmbeddedIntelligence
SeamlessInfor OS
Connectivity
Levels of AIExperience
Enterprise Intelligence Platform
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Artificial intelligence components
Voice UX
Voice assistant for the
enterprise
Relationships
Connected and referenceable data
patterns across applications
Data Science
Machine learning and deep learning
models for business
Big Data
Single cost effective, unrestrictive,
enterprise-wide data repository
Extensibility
Flexibility over customization
Predictive Analytics
Proactive KPIs to better
manage the enterprise
Intelligence Foundation
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A . I . T H AT M A X I M I Z E S H U M A N P O T E N T I A L
Augmentation AutomationAdvisory
Coleman Digital Assistant Coleman AI PaaS
Embedded Intelligence = Enterprise Whitespace
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Coleman amplifies work
• Provides information
• Executes tasks
• Is available everywhere
Augments
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Automates
Coleman frees you up to focus on high value work
• More intelligently
• More quickly
• More efficiently
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Advises
Coleman helps you seize the moment by making the best decision every time
• Provides recommendations
• Makes expert decisions
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A . I . T H AT M A X I M I Z E S H U M A N P O T E N T I A L
Augments Automates AdvisesConversational
UX
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v
Chat Voice Image
recognition
Conversational UX
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Amazon Lex Example
Submit Hours
API Gateway
Submit my hours for today.
IntentsAn intent performs
an action in
response to natural
language user input
D I G I TA L A S S I S TA N T
UtterancesSpoken or typed
phrases that invoke
your intent …
8am to 5pm
Sure, what were your hours?
SlotsSlots are input
data required to
fulfill the intent
FulfillmentFulfillment
mechanism for
your intent
Great, hours have been posted.
27Copyright © 2015 Infor. All rights reserved. This presentation is provided for informational purposes only and does not constitute a commitment in any way. The information, products and services described herein are subject to change at any time without notice.
A.I. ColemanHOW CAN INFOR HELP?
Coleman, do we have a 15 tablets ready to ship to customers?
11:51 AM
Coleman
No, would you like to manufacture them?11:51 AM
Yes?
11:52 AM
Coleman, show me the production plan for this week?
11:52 AM
Coleman, show me the parts I will likely need for this week’s jobs and highlight ones
we will need to expedite in ordering.
11:53 AM
Coleman, can you alert the service desk delay maintenance. We need all production
capacity this week. Schedule the maintenance for next week. Assign this
maintenance job to John Johnson’s team.
Let them also check the SMT machine as extra check.
ChatVoice Automates
28Copyright © 2015 Infor. All rights reserved. This presentation is provided for informational purposes only and does not constitute a commitment in any way. The information, products and services described herein are subject to change at any time without notice.
A.I. ColemanHOW CAN INFOR HELP?
8:51 AM
Coleman, email [customer] to let them know I will arrive at 10:15
08:50 AM
Coleman, how long will it take to get to my next customer?
10:28 AM
Coleman, show me the specification documents for this equipment
10:33 AM
Coleman, show me the condition based monitoring check list for this equipment.
08:50 AM
Who do I need to meet?
29Copyright © 2015 Infor. All rights reserved. This presentation is provided for informational purposes only and does not constitute a commitment in any way. The information, products and services described herein are subject to change at any time without notice.
A.I. Supporting Service Technicians: ExecutionHOW CAN INFOR HELP?
10:56 AM
Coleman, I’ve finished the job now.
10:38 AM
Coleman, I’m starting the job now
10:56 AM
Coleman, record I have used parts A, B & C on this job
10:42 AM
Coleman, mark tasks 1 to 3 as completed
ColemanPlease confirm the following activities for job: SO0004512
10:56 AM
Yes?Confirm:
Part Expected Use
Quantity
Actual Use
Quantity
PART A 1 each 1 each
PART B 1 each 1 each
PART C 1 Litre 1 Litre
PART D 3 each 0 each
Time taken
Start time: 10:38 AM
End time: 10:56 AM
ChatVoice Automates Augments
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31Copyright © 2016. Infor. All Rights Reserved. www.gtnexus.comConfidential
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Apache Hive
Apache Hadoop
Apache Pig
Apache Spark
Apache Hbase
Redshift
Python
Mathematica
Matlab
SAS
CPLEX
C/C++
JAVA
SQLAMPL
Simulation Models
Constraint Programming
Multivariate Regression
Graph Theory
Linear Algebra
Galois Theory
Number Theory
Optimization Algorithms
Optimization Solvers
Game Theory
Mixed Integer
Programming
Machine Learning
Linear Programming
Statistical Analysis
Dynamic Programming
Chaos Theory
Option Theory
Combinatory Theory
Probability Theory
Optics
Differential Geometry
Network Theory
Differential Equations
Real Analysis
Numerical Analysis
Bayesian Statistics
GAMS
COIN-OR
Stochastic Processes
Topology
Predictive Analytics
Mathematical Modeling
Optimization
Forecasting
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Shanghai Ning Bo Los Angeles Topeka
When will it arrive? A science approach…
7
Loadedon truck
ArrivedPOL
Loadedon vessel
Vesseldeparted
ArrivedPOD
Loadedon truck
Arrived
12 days1 day 2 days 1 day 2 days 2 days
2 3 4 5 61
More accurate ETAs based on data science and machine learning
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Optimization designed for the cloud and big-data
Next-gen algorithms,self-learning and flexible
Multi-threaded and scalable to largest data sets
Massively parallel computing process made for the cloud
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Ocean Community PerformanceKey Metrics:
Ports
• Volume of trade
• On-time arrival
• On-time departure
• Total time at port
(container velocity)
• Average lateness
Lanes
• Volume of trade
• Average speed
• Transit time
– Vessel transit time
– Container transit time
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I T S TA R T S W I T H A N E T W O R K V I E W O F V I S I B I L I T Y
An Unprecedented Level of Responsiveness
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Beyond Supply
Chain
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I N F O R C O L E M A N A I P L AT F O R M ( A I P a a S )
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I N F O R C O L E M A N A I P L AT F O R M ( A I P a a S )
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I N F O R C O L E M A N A I P L AT F O R M ( A I P a a S )
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I N F O R C O L E M A N A I P L AT F O R M ( A I P a a S )
Pump
needs to be
ordered
Auto create
in EAM
Based on
type order
via ERP
Outbound
Notification
(customers)
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Enterprise Intelligence Platform
Runs by itself, cheap compute, automates for all.
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Delivered with design thinking
INFOR
STRATEGY
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The future of the future … belongs to intelligent networked companies
• The future of the future … belongs to intelligent networked companies
•
• Total network orchestration is the highest and most sophisticated state a global supply chain can attain. Networked companies
win because they’re agile, fast, and efficient. They’re the first to sense and the first to respond to events, the right way. That’s
operational excellence.
•
• The networked supply chain combines advanced and intelligent supply chain planning, execution, and finance capabilities with
the global commerce network so companies achieve the velocity and control needed to compete in today’s rapidly-evolving
markets. Intelligent supply chain applications automate key processes from planning, through execution, to final
settlement. Advanced algorithms, optimization engines, and machine learning turn data, from across the value chain, into
actionable insights and prescribe better decisions. Integrated execution allows users to easily turn plans into action.
•
• For anyone who enjoys being scared and excited at the same time, AI is shaping up to be the roller coaster of choice for some
years to come. Parsing what is real and what is not—what is cool for the sake of being cool versus what can offer genuine
business benefit—will take some time. However, executives will be wise to “watch this space” and look for partners equipped to
turn the AI vision into reality. As the saying goes, just because you can’t see it, doesn’t mean it’s not there.
•
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