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UNLOCK THE POWER OF AI within your JDE System

We’ll help you use generative AI to mine the treasure trove of data already available to you, and use it to overcome the problems hamstringing your efficiency.

Manuel Neyra, VP of AI, on how AI helps JDE businesses

Why You Need Enterprise AI

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Innovate

Innovate faster and respond to business challenges more effectively than competitors

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Data-Driven Decisions

Absorb and interpret data to make complex business decisions faster than ever

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Strategic Focus

Concentrate on strategic projects and reduce time spent on routine tasks through automation

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Agility

Quickly adapt to a changing business environment

AI In Action for JD Edwards Users

AI Solutions from ERP Suites

At ERP Suites, we understand the challenges enterprises face. That’s why we’ve developed AI-powered digital assistants designed to work seamlessly within the JD Edwards platform.

Our AI solutions leverage your company’s secure data to streamline workflows, reduce manual tasks, and support faster, smarter decision-making.

Manufacturing Digital Assistant

Improve manufacturing processes and ensure prioritized orders get out the door.

A Manufacturing Digital Assistant can save 21+ clicks in JDE by updating and assigning work orders to work centers through these tasks:

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Get master routing

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Add alternate work centers

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Assign work orders to alternate work centers

Financial Digital Assistant

Seamlessly interact with JDE and third-party data using natural language, driving faster, automated insights and empowering proactive, data-driven decisions.

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Query financial data using natural language

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Automate calculations for forecasting

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Identify unusual data with anomaly detection

AI Use Cases

Where Can AI Help You?

We understand the complexities of AI and the overwhelming nature of managing change. Our seasoned JDE and industry experts offer guided exploration of GenAI for your organization—helping you identify feasible use cases and implementing the most valuable ones. After all, AI is not the solution for every problem.

Marc Zinck, AI Product Owner, shares 9 uses for AI

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Financial Analysis

Generate financial statements and estimates

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Financial Forecasting

Predictions from monitoring transactions and balances

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Transactional & Balance Auditing

Identify unusual transactions

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Customer Segmentation

Boost sales and profits with better insights

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Customer Scoring

Identify new opportunities and customer attrition

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Order Promise Date

Improve satisfaction and prioritize shipments

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Inventory Turnover

Identify obsolete products sooner

How to Get Started

ERP Suites AI Journey

When implementing an AI solution, analysts such as Mckinsey and Gartner illustrate the importance of:

  1. Properly preparing your data
  2. Ensuring data security
  3. Choosing the right use case
  4. And more...

At ERP Suites we bundle all of these into our proven guided AI methodology.

Ford Meter Box shares its experience with the guided AI Journey

Start My AI Journey Download Starter Guide
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Alignment

Set expectations and align key stakeholders

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Assess and Roadmap

Complete a series of workshops and establish your AI readiness

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Cleanse and Optimize

Build a solid foundation

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Develop and Deliver

Implement, test, and support your AI solution

Frequently Asked Questions

Common Questions about AI

Do you need to be in the public cloud?

How much data is needed?

What if data is outside JD Edwards?

How do you handle AI with regulatory compliance?

Do users need JD Edwards license/login?

AI Certifications

Our unique approach to GenAI—and our knowledge of the latest AI services, machine learning, and AI infrastructure—will help you take your JDE solutions further.

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Every company has data - but only some are leveraging it to differentiate themselves.

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How do you maximize the potential of AI for your organization?

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Which use cases should you prioritize when you have multiple inaccuracies and bottlenecks?

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What is the best way to integrate emerging technologies into your JDE system to ensure you’re ready for the future?

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Do you want to continue down the familiar but frustrating road, or embrace the innovative power of AI and avoid getting leapfrogged by the competition?

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