Optilogic Training Courses teach teams to model, analyze, and optimize supply chains with confidence. Learn Cosmic Frog and DataStar through expert-led, hands-on sessions that deliver faster insights, stronger decisions, and measurable ROI.
Explore Optilogic’s on-demand training library, curated to help you learn exactly what you need, when you need it. Access everything at your fingertips and move through each module at your own pace.
In this session, we introduce the fundamentals of NIO optimization models in Cosmic Frog. You'll learn how NIO evaluates millions of possible supply chain configurations to find the least-cost or most profitable way to meet customer demand while respecting every constraint in your network. Instead of manually analyzing trade-offs, NIO automatically determines the optimal combination of suppliers, manufacturing sites, and distribution centers to fulfill orders.
In this episode, we explore two powerful pre-run validation tools in Cosmic Frog: the Model Assistant and the Integrity Checker. Instead of running your entire model, waiting for results, and then diagnosing issues, you can catch data errors in just minutes before hitting "run." The Model Assistant flags missing essential information—like un-geocoded locations or absent production policies—while the Integrity Checker goes deeper, identifying numeric issues, unit of measure mismatches, master data references that don't exist, and data type conflicts.
In this episode, we dive into scenario building in Cosmic Frog—the heart of network optimization testing. Instead of manually reconfiguring your entire model for each "what if" analysis, you create modular scenario items that make specific changes to your data. Want to test closing a facility? Doubling demand for a customer? Removing flow constraints to see optimal behavior? Just build a scenario item, assign it to a scenario, and run. Each scenario can combine multiple items, letting you stack changes and test complex configurations in minutes.
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Learn how to navigate the DataStar interface and understand the core concepts behind your data transformation workflows. This overview walks you through the Optilogic platform, including projects, macros, data connections, and how to use Leapfrog AI to build tasks with natural language prompts.
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Ready to take your modeling skills to the next level? Join Leapfrog 102 for a hands-on walk-through of the latest AI-powered use cases—designed to help you explore, edit, and optimize like a pro inside Cosmic Frog.
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This session will give users and introduction to the Hopper engine. Typical Hopper use cases, differences and synergies with other Optilogic engines, and high level solve approach will be covered. The session will also equip users with the base input information needed for models, as well as types of outputs.
This session examines the inputs for an outbound multi stop routing model within Cosmic Frog. Base elements, pickup and delivery constraints, assets, costs and time considerations will be covered.
This session covers Hopper scenarios that consider tradeoffs between reatining current route configurations and customer segmentation vs. relaxation of these rules.
This session covers Hopper scenarios that considers the impact of adjusting various factors when routing outbound shipments. Considerations include business hours, asset types available, and origin locations for the shipments.
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Step-by-step instruction to be able to confidently run your own simulation model and review outputs.
Learn the foundational elements of building supply chain simulation models in Cosmic Frog, including Model Elements, Transportation, Sourcing, Production, Inventory, and Demand (Orders).
Understand the conceptual elements of simulation modeling, what makes simulation unique as a modeling methodology, and questions that can be addressed with simulation.
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Learn how to navigate the DataStar interface and understand the core concepts behind your data transformation workflows. This overview walks you through the Optilogic platform, including projects, macros, data connections, and how to use Leapfrog AI to build tasks with natural language prompts.
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Optilogic Cosmic Frog addresses your facility location questions and empowers you with the data and tools to make smart choices with greenfield analysis. Learn how Cosmic Frog helps you determine facility location in supply chain design.
Interceramic will leverage Optilogic Cosmic Frog’s robust supply chain network optimization and inventory simulation to improve customer satisfaction and its overall competitive advantage
When planning for new facilities or market expansion, reducing transportation expenses and emissions without sacrificing customer service is a tricky problem to solve. The obvious solution is through reducing the distance between you and your customers, but you can’t run an unlimited number of distribution centers. Finding the balance between unlimited distribution centers and high transportation costs requires some serious math—how do you narrow down site options before you get into the optimization model? That's where greenfield analysis comes in.
INSIGHT Software was just acquired by Optilogic. Here’s how INSIGHT pioneered some of the most critical capabilities in supply chain design today and left an indelible mark in the industry over its 40-year history.
The automotive industry has experienced high volatility in recent years. The pandemic all but halted manufacturing across nearly every industry, including automotive. In 2024, the automotive industry is experiencing new trends shaping behaviors at every step along the supply chain. This article explores trends in the automotive industry in 2024 and how companies can take advantage of these trends to see greater success.
Mexico’s largest lime producer Calidra will use Cosmic Frog to coordinate logistics between multiple production sites in Mexico and Latin America as well as operations in the United States.
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See how Optilogic combines advanced modeling, risk analysis, and expert support to deliver faster decisions and measurable supply chain results.