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.
This live training session shows you how to use DataStar’s AI-first capabilities to replace manual configuration with natural language, automate repetitive tasks with AI agents, and turn raw data into insights in minutes. Through hands-on exercises and real examples, you’ll see how users reduce days of work to minutes, migrate legacy workflows with AI assistance, and expand modeling and analysis by combining data transformation, machine learning, optimization, and AI agents. The session covers core skills including building your first DataStar project, mastering Leapfrog AI prompting, and exploring the latest Optilogic innovations, ideal for new users, analysts, and modelers moving from legacy tools.
Date: December 17th, 2025 12:00 PM EST
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.
This interactive training session will enable users to successfully navigate the Cosmic Frog solution, build and run a basic model with scenarios, and visualize a model and its results in the platform. Sample model input data will be shared, giving attendees the option to follow along with the model, scenario, maps, and analytics dashboard build portions of the training. Attendees who wish to follow along will have an opportunity to create a free Optilogic account during the training if they have not done so beforehand.
From high-level strategy tools that reveal where to open your next DC, to detailed simulations that mirror real-world operations, this episode offers a first look at the technology reshaping supply chain design - and the why behind it all. You’ll see how different engines balance scope and detail, and why choosing the right one can mean the difference between runaway costs and breakthrough efficiency.
This episode is your first guided tour of the apps that form the backbone of every modeling project. You’ll discover where to find free demo models to kickstart your work, how to track and learn from your own runs, and even how to collaborate with your team inside the brand-new Teams Hub.
In this episode, Mert from Optilogic walks you through the essentials of creating, managing, and sharing models inside Cosmic Frog. You’ll learn how to spin up a new model from scratch, use resource library templates to get a head start, and organize your growing collection with filters and search
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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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Every supply chain technology vendor is clamoring to tell you about their digital twin capability, but what is a “digital twin”? Here’s the real story on one of the industry’s most over-hyped and overused buzzwords.
Supply chain design software innovator Optilogic is once again leap-frogging the competition by introducing Cosmic Frog “Hopper”, automated transportation route optimization built into its Cosmic Frog supply chain design solution.
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.
In this episode, Mert from Optilogic walks you through the essentials of creating, managing, and sharing models inside Cosmic Frog. You’ll learn how to spin up a new model from scratch, use resource library templates to get a head start, and organize your growing collection with filters and search
Discover the scariest supply chain design problems that manufacturers, retailers, and logistics companies are facing, and how you can vanquish them.
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For consumer goods companies to adapt and thrive, leadership must adapt to industry trends. Here are trends the CPG industry faces in 2024 and how companies can evolve to meet new consumer demands.
While challenges are unavoidable, manufacturers can take proactive steps to embrace these challenges as opportunities for growth. This Optilogic blog explores the challenges the manufacturing industry faces in 2023 and how companies can overcome them to win their market.
Due to the COVID-19 pandemic and global events like the war on Ukraine, it wasn’t long before the global supply chain as we knew it had nearly ground to a halt. Today, as we’ve emerged from the worst of it, we’ve learned some crucial lessons about how to design supply chains.
Supply chain design software innovator Optilogic is proud to announce that Optilogic Vice President of Product Management Rebecca Janowiak is one of the winners of the 2023 “Pros to Know” by Supply & Demand Chain Executive magazine. This award recognizes outstanding executives whose accomplishments offer a roadmap for other leaders looking to leverage supply chains for competitive advantage.
According to PwC, more than 60% of companies said that their performance indicators had dropped by 3% or more because of supply chain disruptions. Yet shockingly, 60% of companies pay only marginal attention to risk reduction processes. Good news! By incorporating risk analysis into the supply chain design process, you can start making smarter supply chain decisions that address both financial and resiliency business objectives.
Recently, a series of crises including the COVID-19 pandemic and the obstruction of the Suez Canal had a major impact on the global supply chain, resulting in disruptions such as temporary shortages, delayed deliveries, increased uncertainty, and higher costs for goods and services.
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Visit our Help Center to explore detailed product guides, troubleshooting tips, and expert insights from the Optilogic community. Whether you’re learning the basics or diving into advanced modeling, you’ll find step-by-step resources to help you get the most out of the Design Intelligence Platform.
Explore all Optilogic resources in one place — from expert-led webinars and thought leadership blogs to customer success stories and product videos.
See how Optilogic combines advanced modeling, risk analysis, and expert support to deliver faster decisions and measurable supply chain results.
