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.
But it doesn't stop there. You'll see how to build a baseline model that replicates your current network operations, then validate it against historical data before running "what if" scenarios. We walk through a live example model, exploring how customers, facilities, policies, and constraints work together to define your supply chain. With NIO, planners and supply chain leaders can confidently test network changes, evaluate cost impacts, and accelerate strategic decision-making.
Understanding What an Optimization Model Is and How NIO Solves It
Exploring Core Model Components: Customers, Facilities, Products, and Policies
Reviewing the Example Model Setup and Network Structure
Defining Sourcing and Transportation Policies That Connect Your Network
Using Flow Constraints to Replicate Historical Shipment Patterns
Building and Validating a Baseline Scenario
Navigating NIO Output Tables and Visualizing Results on the Map
Suggested Pre-Work 💻
Before starting this E-Webinar, please ensure that you have:
Get answers to your burning questions 🔥
Ask us questions at any time during your session through private 1:1 chat.
We are excited for you to start using our product and look forward to helping you take your first step on that journey!