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.
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This video answers that by introducing the foundational components that make every Cosmic Frog model work — the locations, products, connections, and rules that form the backbone of your digital supply chain.
This episode shows you how to get comfortable working with data inside the Cosmic Frog interface. You’ll learn how to clean up your tables, filter columns by engine type, hide what you don’t need, and pin what you do — turning overwhelming spreadsheets into focused, usable views.
This chapter walks through a practical, real-world loop: export a demand table to Excel/CSV, make changes, then import it back. You’ll see the two import paths in action—Replace (wipe and reload) and Upsert (update existing rows, insert new ones)—and how Cosmic Frog keeps you honest with Model Activity cards, record counts, and clear success checks. By the end, you’ll know exactly when to use each method, how to avoid accidental data loss, and how primary keys decide what gets updated vs. created.
This episode dives into geocoding and distance calculations, the backbone of accurate supply chain modeling. You’ll see how to turn raw addresses into latitude/longitude points, verify them visually, and switch between providers like Mapbox, Bing, or Azure with a single key. From there, the video shows how Cosmic Frog calculates road distances and transit times, either from your own data or through automated lookups powered by external APIs. The best part? You’ll discover how flexible the platform is.
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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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An increasing number of U.S. companies are evaluating how to move all or part of their supply chain out of China to increase resiliency. Here’s how to model your China supply chain exit strategy to reduce risk and improve service.
In a global M&A market that even experts describe as unpredictable, this is certain: Deal velocity will ramp up again, and when it does, preparedness is the difference between champagne toasts and failure. For companies with a physical supply chain, network design is the secret weapon dealmakers use to rapidly evaluate the cost, service and risk trade-offs of mergers, acquisitions and divestitures — before investing a dime.
Donald Hicks, Founder and CEO of Optilogic, joins to discuss the state of the supply chain industry and how now is the time to shift out of a ‘reactive’ mode and into a ‘proactive’ and forward-thinking system of operations.
This chapter walks through a practical, real-world loop: export a demand table to Excel/CSV, make changes, then import it back. You’ll see the two import paths in action—Replace (wipe and reload) and Upsert (update existing rows, insert new ones)—and how Cosmic Frog keeps you honest with Model Activity cards, record counts, and clear success checks. By the end, you’ll know exactly when to use each method, how to avoid accidental data loss, and how primary keys decide what gets updated vs. created.
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.
The time for pandemic-era thinking is over. This will be the year of strategic supply chain design — but companies must be shrewd in their technology and vendor selection. Following are six predictions for the new era of strategic supply chain design in 2024.
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See how Optilogic combines advanced modeling, risk analysis, and expert support to deliver faster decisions and measurable supply chain results.