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    From Legacy Systems to Intelligent Supply Chain Platforms

    Turn Legacy Technology into a Competitive AdvantageLegacy supply chain systems were designed for stability, but today’s dynamic business environment demands greater speed, agility, intelligence, and resilience. This session explores practical approaches to modernizing legacy supply chain platforms to improve decision-making, increase operational efficiency, and support long-term business growth.Attendees will learn how organizations are using service modernization, scalable architecture, workflow automation, data-driven insights, and responsible AI to build more flexible and resilient supply chain capabilities. The session will demonstrate how modernization extends beyond technology upgrades to enable greater visibility, adaptability, and operational excellence across the supply chain.

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    AI-Powered Forecasting & Planning

    Predicting the future is an impossible task. Even a 10-day weather forecast is only right about half the time. Then how can you plan for next month, next quarter or next year? Traditional supply chain forecasting largely predicts the future based on patterns in historical data. While this can work with cyclical products or operations, in most cases it’s often only part of the data. There’s still a chance the forecast will be close to accurate, but there’s room for improvement.Artificial intelligence (AI) is improving forecast accuracy by identifying more complex relationships in historical data, incorporating more data sources and continuously learning from new information. Join this microlearning to explore how AI is being used to enhance forecasting processes across supply chains. You’ll compare traditional and AI-driven forecasting approaches, examine the steps involved in developing and using AI forecasts, and discover how planners work alongside AI to improve decision-making. Developed in collaboration with ASCM member Janetta Barker, CSCP, CPIM.

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    Trust: The Hidden Variable Undermining n-tier Supply Chain Performance

    After a 12 month research initiative on supply chain transparency and trust—conducted in collaboration with the Department of War—the SCRM Consortium, together with a select group of five consulting partners (MBE 3D Engineers, University Supply Chain Chair, Organizational Development Professor, Master Integrator-LSSMBB, and DoW SaaS -SC Illumination solution provider), co developed a breakthrough approach to measuring and accelerating trust as a core operational capability: the Trust Acceleration Index™ (TAI™).Drawing on 70+ executive interviews, 200+ global survey responses, and cross industry workshops, this session will reveal how trust directly impacts cost, speed, resilience, and decision making under pressure.Participants will gain a concise overview of the Trust Acceleration Index™ (TAI™)—an AI enabled framework that identifies hidden friction, quantifies trust gaps, and links them to measurable performance outcomes.The session will conclude with an invitation to join a select group of ALPHA participants to apply TAI™ in their organization—at no cost.

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    The Future of Supply Chain Careers: Skills That Set You Apart

    Discover the skills, certifications, and strategies you need to stand out, advance your career, and thrive in the future of supply chain.Supply chain careers are changing faster than ever. New technologies, evolving business demands and ongoing disruption are reshaping what employers look for—and creating new opportunities for professionals who are ready to grow. Join Anthony Allen and Kelci Olson as they discuss the skills that will define the next generation of supply chain professionals, how to stand out in a competitive job market, and why certifications can help validate your expertise and accelerate your career. Whether you're looking to advance into leadership, strengthen your current skill set, or prepare for your next opportunity, you'll leave with practical insights and a clearer roadmap for long-term career success.

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    How Hyper-Personalization is Transforming Supply Chains

    Because of the advancements of artificial intelligence (AI), analytics and big data, companies now have the ability to offer hyper-personalization, delivering experiences as unique as their customers. Whether it’s by sending replenishment reminders based on actual usage patterns, offering recommendations based on proven customer preferences or ensuring an item is in stock exactly when the customer needs it, B2Me supply chains are targeting hyper-specific customer needs. Offering hyper-personalization at scale while delivering service consistently and within a reasonable timeframe requires a more complex supply chain than ever before. Organizations need to incorporate thousands of demand points into their supply chain planning. At the same time, organizations must balance consumer privacy when managing unique customer profiles. Efficiency is critical for managing this operational complexity, but there still needs to be flexibility for customization. In this microlearning, you’ll discover how to design this complicated supply chain that delivers effective, context-aware experiences for customers. The course also covers enabling tools, key risks and responsible hyper-personalization practices. Created in collaboration with ASCM member Renee Williams, MBA, PMP, PROSCI, CLSSGB.

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    From Collaboration to Co-Creation: Building Innovation Ecosystems for the Next Generation of Supply Chain Solutions

    Attendees will gain a strategic understanding of how innovation ecosystems and open innovation approaches are reshaping the way supply chain solutions are developed. The session highlights how collaboration with customers, partners, and cross-industry players accelerates innovation, improves solution relevance, and increases adoption rates. Using some real case examples, participants will see how ecosystem-driven innovation enables organizations to address complex challenges that cannot be solved alone. They will leave with insights into key trends, value drivers, and how open innovation contributes to more resilient, adaptive, and future-ready supply chains.

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    Three Big Disastrous Assumptions Behind Every MRP Schedule

    Material Requirements Planning (MRP) has been the backbone of supply chain planning for decades—but in today’s volatile, uncertain, complex, and ambiguous (VUCA) environment, its foundational assumptions are increasingly at odds with reality.In this thought-provoking session, industry experts Carol Ptak and Chad Smith unpack the three core assumptions behind every MRP schedule—and why they no longer hold true. From the false certainty of demand forecasts to the illusion of stable lead times and perfect execution, these assumptions create the conditions for chronic shortages, excess inventory, and costly expediting.Using real-world examples and practical insights, the speakers will explore how these flawed assumptions amplify variability, distort signals across the supply chain, and fuel the bullwhip effect. More importantly, they’ll introduce a modern, demand-driven approach to planning—focused on flow, decoupling, and resilience—to help organizations better navigate disruption and improve performance.Attendees will leave with a clearer understanding of why traditional planning methods fall short—and what to do instead to build more adaptive, responsive, and resilient supply chains.

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    Agentic AI 101 for Supply Chain Management

    This webinar is presented by Didero, a Stanford-founded technology company at the forefront of building advanced AI agents for supply chain and procurement. Their work focuses on automating complex, high-volume operations—giving them a unique, hands-on perspective on how Agentic AI is being applied in real-world environments.In this sponsored session, you’ll get a practical, no-hype introduction to Agentic AI and what it really means for modern supply chains. We’ll break down the technology behind agentic systems, how they differ from traditional automation and other forms of AI, and where they deliver the most value (and where they don’t).Through real-world examples and use cases across planning, procurement, operations, and supplier management, you’ll see how AI agents can execute work, adapt to change, and drive faster, smarter decisions across the supply chain.You’ll leave with a clear framework for identifying high-impact opportunities and evaluating where Agentic AI can deliver meaningful results in your organization.

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    Next-Gen Transportation: Electric & Autonomous Fleets

    Amid sustainability concerns, turbulent gas and diesel prices, and driver shortages, electric and autonomous fleets are filling the gaps. The next generation of distribution vehicles is geared toward the modern delivery landscape and will drive logistics into the future. Take this microlearning to discover where electric vehicles and autonomous vehicles are most used today, from yards and terminals to corridors and last-mile delivery. Then you’ll learn the key decision drivers behind adoption and explore practical operational impacts on routing, delivery and reliability. Developed in collaboration with ASCM member Tiffany Ownby, MBA, CSCP

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    Analytics in Action w/Lora Cecere: What Does Native AI Mean

    Ganesh Ramakrishna, Founder of Lyric, will explain the definition of Native AI and what it means, and why it matters.

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    Analytics in Action with Lora Cecere: Using transportation insights to drive decision intelligence

    In this series of talking tech, Lora Cecere, Founder of Supply Chain Insights, speaks to Mark Strassman, Chief Product Officer at Project 44 on how to use transportation visibility data to inform decision-support technologies on lead time.

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    From Chains to Systems: Managing Supply Chains as Complex Adaptive Systems (CAS)

    In an era of unprecedented global disruption, the traditional understanding of a supply chain as a linear chain, is no longer sufficient to ensure long-term viability. This session, presented by Kimberly Tholl, CSCP, PMP, challenges practitioners to shift their mindset from managing chains to navigating Complex Adaptive Systems (CAS). As both a seasoned industry leader and a doctoral researcher, Kimberly bridges the gap between theoretical systems thinking and practical supply chain operations. Attendees will explore the core characteristics of a CAS, including emergence, adaptation, feedback loops, and non-linearity, where small, localized changes can trigger massive, delayed effects across an entire network. Through real-world examples, ranging from pandemic-era pivots in the textile industry to the systemic impacts of labor subcontracting, the webinar illustrates how individual firm actions shape the broader networks that sustain them. Key Takeaways for Practitioners:1. Map Your Supply Network: Move beyond Tier 1 visibility to identify critical nodes and interdependencies across suppliers, logistics providers, and regulators.2. Bridge, Don't Just Buffer: Transition from purely protective strategies (safety stock) to collaborative "bridging" through information sharing among industry players.3. Identify Network "Tipping Points": Learn to recognize when a critical mass of industry change

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    Business Continuity Planning in the Digital Supply Chain

    In the digital age, supply chain continuity depends on more than just physical operations. It relies on data, digital handoffs and a globally interconnected network of systems. This is both technically challenging and also time consuming to ensure that data is clean and relevant and that various systems within a business and among partners can connect seamlessly to ensure continuity. Join this microlearning to discover the fundamentals of business continuity in digital supply chains. You’ll also learn common challenges and sources of disruption and explore how organizations leverage digital tools to build resilience to keep operations moving when conditions change. Developed in collaboration with ASCM member Jesse Peterson, CPIM

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    When Priorities Collide: Turning Friction to Fuel

    Conflicting priorities are a constant reality in supply chain management. The ability to navigate them effectively can mean the difference between stalled progress and stronger collaboration.Join us for When Priorities Collide: Turning Friction to Fuel, a webinar designed for supply chain professionals looking to improve how they manage and resolve conflict. This session will explore the root causes of conflict, the factors that influence it, and the different styles that shape interactions with internal stakeholders, suppliers, and vendors.You will learn how to apply conflict intelligence to better understand personal motivators, assess situational dynamics, and move conversations toward more productive outcomes. Real-world examples and practical strategies will highlight how to turn challenging moments into opportunities for alignment, innovation, and better decision-making.

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    What the Iran Conflict Really Means for U.S. Ports and Supply Chains

    As tensions rise in global chokepoints like the Strait of Hormuz, headlines often point to immediate disruption—but supply chains are more complex than that. In this webinar, ASCM CEO Abe Eshkenazi speaks with Dr. Noel Hacegaba, CEO of the Port of Long Beach, to explore what is actually happening at U.S. ports today, what recent cargo and container trends reveal about demand and costs, and how supply chain professionals can separate short‑term volatility from more structural shifts as they plan for the months ahead.

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    Proactive Forecasting and Demand Shaping in the Age of AI

    • Explore how modern forecasting practices are evolving into strategic demand shaping to help organizations respond faster and smarter in a rapidly changing environment.• Discuss how AI, machine learning, and chatbots are elevating demand visibility, scenario analysis, and customer engagement.• Review practical insights from recent industry case studies and research, including the Journal of Business Forecasting article “Adding Strategic Demand Shaping to Your IBP Process.”• Participate in live forecasting practice surveys for benchmarking and engage directly with the panel through real time Q&A.

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    Cold Chain Management: Keeping Temperature-Sensitive Goods Safe

    Cold chain management is widely considered one of the most challenging types of supply chain management. Temperature-sensitive goods must maintain temperature integrity for the entirety of their journeys. Accurate tracking throughout the distribution process is critical to ensure the goods stayed in the proper temperature range at all times to ensure product safety and integrity. Join this microlearning to learn the fundamentals of cold chain operations across industries. You’ll explore how products from delicious ice cream to lifesaving medications move from origin to final delivery, the temperature controls required at each stage, and why even brief temperature deviations can have serious downstream impacts. Developed in collaboration with ASCM member Biniam Tufa, BPharm, MSc, CSCL, CHHP

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    Analytics in Action with Lora Cecere: The difference between agents and agentics and why should you care?

    What is the real difference between AI agents and agentic systems, and why should supply chain leaders care?Join Lora Cecere, founder of Supply Chain Insights, and Razat Gaurav, CEO of Kinaxis, for a timely discussion on how emerging AI capabilities are reshaping supply chain decision-making. As organizations explore new ways to apply AI, many are moving beyond simple automation toward systems that can sense, analyze, and act within complex supply chain environments.In this Analytics in Action session, Lora and Razat will break down what these concepts mean in practice, how agents and agentic systems differ, and what these technologies could mean for the future of supply chain management. Drawing on decades of experience in supply chain strategy and enterprise technology, they will share practical insights on how leaders can better understand the evolving AI landscape.You will learn:The difference between AI agents and agentic systemsHow agentic approaches may influence supply chain planning and operationsWhat supply chain leaders should be watching as AI capabilities evolveKey considerations when evaluating next-generation analytics and decision support tools

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