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Harness the Power of Machine Learning for Supply Chain Management

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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.

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Harness the Power of Machine Learning for Supply Chain Management

  1. 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:

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