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.
Are you looking for greater detail in transportation cost to complement your network designs? Transportation route optimization can provide the insight needed to answer tough questions: Should I consolidate shipments onto multi-stop routes? What should my fleet size be? What empty miles can I save if I incorporate backhauls? Does utilization improve if I adjust my time windows?
Our 2-hour live training session will cover:
Date: January 21, 2026 01:00 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 chapter tackles one of the most common hurdles in supply chain modeling: infeasibility. You’ll see how Cosmic Frog flags errors when your model can’t satisfy all its constraints, and more importantly, how to track down the root cause. Starting with the validation report, you’ll learn how to spot critical errors, trace them back through sourcing or transportation policies, and fix the issues step by step.
This session explores the automatic OptiRisk metrics available with each Cosmic Frog scenario. We dig into the components that make up each scenario's risk scores, where to find this reporting within Cosmic Frog outputs, and dashboards available to visualize cost versus risk tradeoffs. We then walk through examples of building and tuning your own risk profiles, and how to respond to risk identified with mitigation scenarios and quantifying impacts of risk events.
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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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Understand the conceptual elements of simulation modeling, what makes simulation unique as a modeling methodology, and questions that can be addressed with simulation.
Learn the foundational elements of building supply chain simulation models in Cosmic Frog, including Model Elements, Transportation, Sourcing, Production, Inventory, and Demand (Orders).
Step-by-step instruction to be able to confidently run your own simulation model and review outputs.
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In this session, we introduce the fundamentals of NEO optimization models in Cosmic Frog. You'll learn how NEO 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, NEO 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.
In this episode, we explore how to analyze your optimization results through Cosmic Frog's output tables. Instead of digging through raw solver logs or exporting data to external tools, you can filter, compare, and aggregate results directly within Cosmic Frog. Want to see total cost savings between your baseline and optimized scenarios? Need granular detail on which facilities are shipping to which customers? And it doesn't stop there. You'll see how to use the job logs and error logs to troubleshoot model runs, validate that scenarios completed successfully, and identify where infeasibilities occur. With Cosmic Frog's output tools, analysts can quickly validate results, pinpoint where savings are generated, and confidently present findings to stakeholders.
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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.
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.
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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.
