Resource Library
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Eyelit Technologies Version 10.1 Release Notes
ArticleSpotlight
Read moreVersion 10.1 is the most significant release in Eyelit’s history bringing agentic AI, a reimagined demand planning platform, deeper execution intelligence, and hundreds of enhancements across MES, APS, and supply chain planning. Here is what’s new. Demand Planning Version 10.1 is a ground-up rearchitecting of demand planning for the AI era. The…
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Article
Manufacturing is all About the Order
The immutable truth – running a successful business depends on securing and fulfilling orders. Securing orders boosts sales volume and…
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Article
Show Notes Request | SAC 2025
Are you heading to the SAC 2025 show in Huntsville? Don’t miss your chance to visit Eyelit Technologies at booth…
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Article
Expanding Manufacturing Operations Management Benefits to the End-to-End Supply Chain
A typical company runs a monthly Sales and Operations Planning (S&OP) process, and every day tries to execute that plan…
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Case Study
Case Study – Order Moves Reduce Order to Delivery Cycle Times
A major automotive OEM who Has already deployed the Eyelit APS requested help in dealing with supply chain instability.
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Case Study
Case Study – Boosting Productivity and Quality Control
At Eyelit, we face the same issue as all solutions providers: how to convey the practical value that our technology…
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Case Study
Case Study | Production Planning Use Case Keeping Promises
A global manufacturer, with a strong brand and reputation for producing quality high-value products, started losing market share.
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White Paper
White Paper | AI Empowerment Through MES is Proven to Drive Overall MOM Improvement
It’s logical that actionable insights which leverage real time data would drive optimized factory performance.
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White Paper
White Paper | Composable APS MES Solution Stack Optimizes Smart Factory Operations
Execution always varies from plan. We bake inefficiencies into our planning process by buying insurance in the form of extended…
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White Paper
White Paper | Smart Factory Planning, Scheduling, and Decision Execution
This paper discusses the powerful combination of advanced planning, scheduling, and sequencing with a full MES/MOM capability that includes quality,…
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Case Study
Case Study Long-Term Planning Visibility with Short-Term Gains on the Line
The client faced challenges with their manual planning and scheduling process as component lead times increased, and production demand surged.
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Case Study
Case Study Providing a Data-Driven Solution to Streamline Manufacturing Processes
The client encountered a significant challenge in their manufacturing processes, necessitating a tailored and robust MES solution to effectively document…
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Case Study
Case Study Migration of Legacy Semiconductor MES to Eyelit Technologies MES
A semiconductor foundry, a vendor for the automotive and industrial sectors, migrated away from its existing legacy MES system which…
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White Paper
Nucleus Research MES Value Matrix
Nucleus Research’s inaugural Manufacturing Execution System (MES) Technology Value Matrix for 2025 examines how MES has shifted from a niche,…
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Article
The 14-Day Vehicle: Closing the Gap Between Showroom and Customization
In the U.S., the great majority of vehicles are sold straight off the lot, and you can drive away the…
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Why Manual Scenario Analysis Fails Supply Chains
Almost all current S&OP solutions and so-called Control Towers provide an environment for what-if scenarios driven by the users.
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Article
Don’t Use ML to Predict Manufacturing Cycle Times
Many S&OP vendors are now using Machine Learning (ML) in order to estimate manufacturing cycle times. In this paper we…
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Article
Self-Improving AI Supply Chain Technologies
Imagine a world where supply chain planning systems can mold themselves into their environment, adapt and improve as the business…
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Article
Supply Chain Planning Systems
Predict, Not Just Response As important a role as automation has played in increasing business productivity, automation is simply a…
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Article
Top AI/ML Use Cases in Supply Chain Planning
With recent popularity of AI and ML, companies are making fast moves to learn and use these techniques in order…
