My presentation will explore the transformative impact of generative AI technologies—such as large language models, GANs, and multimodal systems—on Supplier Relationship Management (SRM). It will cover key applications including supplier discovery, automated content creation for RFPs and RFQs, performance monitoring, risk management, and contract handling. Attendees will learn how generative AI enhances communication, efficiency, and predictive analytics within SRM, while also addressing challenges like data privacy, system integration, and ethical considerations. The presentation will highlight future trends such as autonomous supplier networks, AI-driven negotiations, and integration with emerging technologies like digital twins, blockchain, and IoT.

This presentation will benefit supply chain professionals, procurement managers, and organizational leaders seeking to leverage AI to build more resilient, collaborative, and strategic supplier partnerships. Attendees will gain practical insights into implementing generative AI solutions, overcoming adoption barriers, and driving innovation in supplier collaboration and decision-making. By the end, participants will understand how to harness AI to improve supplier engagement, mitigate risks, and achieve competitive advantages in their procurement operations.

By intelligently connecting manufacturing work centers with their corresponding maintenance equipment through strategic data design, we can unlock real-time insights that transforms how maintenance is scheduled. By doing this along with leveraging orchestrations in JD Edwards, we’ll show how live production cycle data can be seamlessly captured and converted into actionable updates—automatically adjusting equipment meter readings and triggering precisely timed preventative maintenance orders. Don’t miss this opportunity to see how smart automation can boost equipment reliability, slash unplanned downtime, and drive operational excellence across your manufacturing floor.

Once companies go live with JD Edwards, the real journey begins—finding smarter, faster ways to improve everyday operations. In this session, we’ll demonstrate how leading organizations are accelerating their purchasing cycles, minimizing errors, and achieving real-time visibility—all while enhancing compliance and profitability.

You’ll see a live demo of a real-world JD Edwards setup, featuring:
Self-Service Purchasing: Request everything from stocked items to one-time purchases—even punch out directly to Amazon Business for a seamless buying experience.
Supplier & Buyer Portal: Say goodbye to scattered emails and spreadsheets. This portal keeps everything in one place—approvals, order changes, shipment notices, and contact details—complete with automated alerts and workflows.
AP Automation: Watch how companies use Amazon Textract’s powerful OCR to process invoices, match purchase orders, and settle payments with ease.
Vendor & Item Setup: Learn how smart forms and tailored workflows simplify onboarding, helping you create new vendor and item records faster—and more accurately.

Whether you’re in procurement, finance, or IT, this session gives you a look at what’s possible with JD Edwards and no-code tools that bring your business processes into the future.

Material requirement planning has been around since the mid ‘70s when we all read Orlicky’s yellow MRP book. How come it hasn’t gotten easier? Are you asking yourselves “why do our teams continue to struggle unpacking the mystery of material planning?” Well, it’s not a surprise. Many companies struggle with their material planning process. It is simple. Maintain your MRP/DRP engine and you WILL get to the right destination. Afterall, how long has it been since you implemented material planning? What business changes have taken place since then? What new tools has JD Edwards provided to help “fine-tune” your material planning process. How can AI help? In this session you will discuss how to remove some of the mystery from material planning (MPS/MRP) and discuss some ways to unlock the potential of your supply chain.

Demand forecasting accuracy is paramount for businesses striving to optimize their inventory and supply chain management. With AI/ML, companies have a tool that goes beyond traditional methods, offering unprecedented precision and insight. In today's fast-paced market dynamics, integrating AI into these forecasts could unlock new levels of operational efficiency. We will review:
- Key Benefits of AI-Augmented Demand Forecasting in JD Edwards
- Integrating AI & Machine Learning into JD Edwards
- Case Studies: Successful AI Integration in JD Edwards
This presentation is appropriate for JDE Supply Chain Planning users, managers and executives.

As part of any EnterpriseOne upgrade project, customizations to applications and reports must be retrofitted after reviewing the latest code from Oracle. Intending to eliminate customizations, MASYC's approach to retrofitting versus implementing no/low code configured solutions ensures your company optimizes the newest toolset while retaining only customizations that provide strategic advantages. Our approach results in fewer customizations in your system after the upgrade, thus helping to maintain an easier upgrade path in the future and reducing overall technical debt.

We’re thrilled to include Miguel Solares from Tri Pointe Homes, who will share invaluable insights on their Release 25 upgrade!

Traditionally, this retrofit endeavor would be undertaken with the expectation that the majority of modifications would carry over, unless perhaps a new application functionality was introduced by Oracle that replaced the customization.

Jump to today with the latest no/low code tools available from Oracle, such as end-user Personalization and configurable User Defined Objects that include the Orchestrator Studio. JD Edwards clients can now replace their legacy customizations with a tailored UDO-configured solution, achieving the goal of reducing their customization inventory.

The EAM/CAM SIG is finalizing its consolidation under the umbrella of the E1 Manufacturing & Distribution User Group (E1MDUG). This session will discuss that move and will facilitate an open discussion of issues that are unique to the EAM, CAM, and Equipment & Maintenance community.

Are you ready to empower your finance and AR teams with instant, real-time access to JD Edwards data - right inside Microsoft Teams? In this session, we’ll demonstrate how we built a conversational Assistant Bot that connects JD Edwards (via Orchestrator) to Microsoft Teams using OpenAI technology. With this bot, users simply ask questions in natural language (“What’s our current AR balance?”, “Who are our top overdue customers?”), and receive accurate, up-to-date answers - no technical skills or JDE navigation required.
We’ll share the full lifecycle of the project: from business needs and technical architecture to real-world outcomes and lessons learned. Attendees will see a live demo and explore how the bot interprets user requests, retrieves AR data through Orchestrator, and responds in plain English. We’ll also dive into key challenges, including Teams integration, secure authentication, and persistent conversation memory, as well as future roadmap features like multi-module support and advanced reporting.

Who should attend?
Anyone involved in JD Edwards administration, financial operations, IT, or business analysis - especially those seeking to streamline user access to JDE data, reduce manual reporting, and accelerate decision-making. Whether you’re a technical developer, business analyst, or functional user, you’ll walk away with practical insights and actionable steps for bringing conversational AI to your own JDE environment.

Key Takeaways:
1. How to leverage OpenAI, Microsoft Teams, and JDE Orchestrator to automate real-time data delivery
2. Real-world benefits for AR and Finance teams
3. Tips for integration, security, and scaling your own JDE bot

Forget custom code—Logic Extensions let you create powerful, maintainable business logic directly in JD Edwards without touching the underlying source. In this session, you’ll see real-world scenarios where Logic Extensions replaced legacy customizations, from advanced validations to dynamic pricing calculations. We’ll walk through best practices, performance tips, and how to combine them with Orchestrations to deliver agile, upgrade-safe solutions.

Log Literacy: Turning Huh?? into Aha! is a hands-on session designed to help you learn troubleshooting EnterpriseOne batch reports (UBEs) and untangle complex business function call chains. This class guides you step-by-step through tracing execution flow across multiple nested BSFN calls to pinpoint the root cause of issues.

You’ll gain skills in interpreting JDEDEBUG and UBE logs to examine BSFN inputs, outputs, return codes, and control flow. Learn how to filter out irrelevant noise, detect where and why processes fail, and verify data consistency across function calls. Real-world debugging examples will provide practical experience you can apply immediately in your work.