Discover what 10 thought leaders think about the future of machine learning and the digital supply chain. Read more at www.sap.com/s4-digitalsupplychain.

1. Moving Beyond the Annual Budget
"The CFO can leverage machine learning models to
better understand emerging patterns in the massive
amount of data"
Judith Hurwitz
President & CEO • Hurwitz & Associates
“CFOs who support this driver of corporate day-to-day
operations stand to reap the benefits of demand driven
expenditures backed by improved revenues and profits.”
Hal Good
Founder • Procurement Pros
"Contextualizing data for the purpose of sustainable
customization and individualization will require the
assistance of machine learning"
Philip Ideson
Co-Founder and Managing Director • Palambridge
@pideson
"Machine learning can detect product trends quickly so
that OEMs can fine tune the supply chain in advance"
Hailey McKeefry
Editor in Chief • AspenCore
@HaileyMcK
Finding the Key with Customization
“Successful industrial firms utilize machine learning
and IoT to provide end-to-end, in-transit visibility of
their supply chain networks — helping to deliver
vmass customization and individualization with
build-to-order principles.”
Ganapathi Pulipaka
Chief Data Scientist | SAP Technical Lead
Founder and CEO • DeepSingularity LLC
@gp_pulipaka
Finding the Key with Customization
“Successful industrial firms utilize machine learning
and IoT to provide end-to-end, in-transit visibility of
their supply chain networks — helping to deliver
"Machine learning combined with big data allows us
to find obscure, hidden correlations embedded
in the data that no human would ever find."
Matt Ridings
Chief Innovation Officer • XVA Labs
@techguerilla
"Using machine learning, companies can develop
adaptive models to learn from data, analyzing the
state of their supply chain in real-time"
Marcus Borba
Founder and Principal Analyst • Borba Consulting
@marcusborba
of organizations feel that they have
mastered digital to a point of
differentiation from their competitors2
Balancing Supply & Demand
"Machine learning has the capability to forecast product
demand changes in advance, providing valuable decision
support for supply chain management."
George Vyshnya
Co-Founder and CTO • SBC Group
@gvyshnya
Digital supply chains can reduce
supply chain process costs by 50%
reduce procurement costs by 20%
and increase revenue by 10%1
By 2020, 85% of a customer’s
brand experience will occur
without any human interaction3
SUPPLY CHAIN COSTS
PROCUREMENT COSTS REVENUE
"Machine learning-enabled tools have the potential to help
business leaders identify the optimal times to begin (or
scale up) production to meet anticipated customer
demand in a more-timely and cost-effective way."
Matthew York
Research Analyst • Ardent Partners
@MattYork_Ardent
Balancing Supply & Demand
Harness the Power
of Machine Learning
for Supply Chain
Management
Going digital in the supply chain means being able to
manage end-to-end extended processes digitally —
optimizing quality, maximizing speed, reducing costs,
and being able to provide highly personalized and
customizable products.
To learn more about how machine learning can truly
help supply chain management, we reached out to 9
supply chain and digital thought leaders. Read on to
hear what they have to say about the impact of
machine learning for supply chain management.
Machine learning has evolved supply chain,
integrated business planning, and budget
management. It improves forecasting, efficiency,
accuracy, scheduling, and decision making.
Experience the power of a digital core ready to take
your supply chain management to the next level
with the intelligent, next-generation business suite,
SAP S/4HANA.
5%
@jhurwitz
@Hal_Good
Learn More
3.“How Omni-Channel Customer Experiences Drive Brand Transformation,” Centric Digital
2. Accenture, Digital transformation in the Age of the Customer
1.“Digital Supply Chains: A Frontside Flip,”The Center for Global Enterprise.
Sources: