Optilogic Cosmic Frog
Supply chain cost-to-serve analytics software
Supply chain planning software
Supply chain management software
- Features
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- Ease of management
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What is Optilogic Cosmic Frog
Optilogic Cosmic Frog is a supply chain network design and planning platform used to model, optimize, and compare end-to-end supply chain scenarios. It supports use cases such as facility location and capacity planning, transportation and sourcing strategy, inventory positioning, and service-level trade-off analysis. The product emphasizes scenario modeling with optimization and simulation to quantify cost, service, and risk impacts across multi-echelon networks. Typical users include supply chain strategy, planning, and analytics teams, often in conjunction with ERP and TMS/WMS data sources.
Strong network design optimization
The product is purpose-built for network design and strategic planning problems that require mathematical optimization across facilities, flows, and constraints. It supports comparing multiple scenarios to evaluate trade-offs between cost, service, and operational feasibility. This aligns well with organizations that need repeatable network studies rather than one-off spreadsheet models. It is commonly positioned for strategic and tactical planning rather than execution.
Scenario modeling and what-if analysis
Cosmic Frog focuses on building scenarios and running structured what-if comparisons (e.g., new DC, nearshoring, mode shifts, capacity changes). It helps teams document assumptions and quantify impacts across a consistent model, which is useful for cross-functional decision-making. This approach can reduce reliance on ad hoc analyses spread across multiple tools. It also supports iterative planning cycles where scenarios are revisited as inputs change.
Cost-to-serve style trade-offs
The platform can be used to analyze cost and service impacts by customer, product, lane, or region as part of network and fulfillment strategy decisions. It supports evaluating how policy changes (service targets, inventory rules, sourcing constraints) affect total landed cost and service outcomes. This is valuable when teams need to connect network decisions to customer-facing service commitments. It provides a planning-oriented view of cost-to-serve rather than a purely financial reporting view.
Not an execution SCM system
Cosmic Frog is primarily a planning and network design tool, not a system of record for procurement, order management, warehouse execution, or transportation execution. Organizations typically still need ERP/TMS/WMS platforms to run day-to-day operations. As a result, benefits depend on how well planning outputs are operationalized. Users should plan for process changes and governance to ensure scenarios translate into execution.
Data preparation can be significant
Network design and optimization require clean, well-structured data (locations, lanes, costs, lead times, capacities, demand, and service rules). Many organizations must invest in data mapping, validation, and ongoing refresh processes to keep models current. If source data is fragmented, time-to-value can be driven more by data readiness than by software configuration. Integration work is often needed to maintain repeatable scenario cycles.
Advanced modeling requires expertise
Building realistic constraints and interpreting optimization results typically requires specialized supply chain analytics skills. Teams may need training to avoid oversimplified models or misinterpretation of outputs (e.g., infeasible constraints, sensitivity to assumptions). Complex networks can also require careful model design to balance fidelity and runtime. Some organizations rely on internal centers of excellence or external support for advanced studies.
Seller details
Optilogic Inc.
Ann Arbor, MI, USA
Private
https://www.optilogic.com/
https://x.com/optilogic
https://www.linkedin.com/company/optilogic/
