1、The Supply Chain AI PlaybookHarness AI-Assisted Analytics to Model,Predict,and Automate for Resilience Table of Contents03040506071012IntroductionThe Insights ConstraintIntro to AIThe Alteryx AI Platform:Secure and Governed Drag-and-Drop AnalyticsAI-Powered Analytics Use Cases in AlteryxGenerative A

2、I Use Cases in Alteryx Putting End-to-End AI to WorkWhether its from the pandemic,geopolitics,technology,or soaring inflation,youve no doubt felt disruptions vice-like grip on your supply chain.According to a recent study from Accenture,disruption caused organizations to miss out on$1.6 trillion in

3、revenue.In contrast,Accentures study found that more resilient companies captured 3.6%more revenue than their less mature counterparts,enabling a competitive advantage that secured an additional 1.2%EBIT margin.“These more resilient companies are investing in the right mix of resiliency-focused capa

4、bilities and achieving better business results because of it.”Whats helping organizations become more resilient?In a word,insights.Data insights from diagnostic,descriptive,predictive,and prescriptive insights are required to mitigate risk and remove kinks or inefficiencies in the supply chain.To fu

5、el these insights,organizations are increasingly“digitizing”their supply chains,collecting data on everything from machinery to inventory management and vehicle routes.However,analyzing and modeling all this valuable data to make proactive decisions and mitigate risk is still stumping supply chains

6、due to a mismatch between enterprise technology and enterprise talent.Digital economic value is created when technology is used to amplify productivity,partnership and strategic decision-making.This involves using data assets,such as algorithms,analytics,AI,large language models(LLMs),augmented real