Competition
Who are Gen 1 and Gen 2 competitors?
Gen 1: Coupa, AIMMS
Gen 2: Optilogic
Name 3 customers who use Lyric for Network Modeling?
PepsiCo, Google, Petco
“We already have a network design tool, why do we need Lyric?”
Most customers start with that assumption, but quickly realize their questions extend far beyond classic design. Lyric complements and then replaces static tools by supporting ongoing, integrated decision-making.
What types of network modeling problems do customers solve with Lyric?
Customers use Lyric for facility open/close decisions, flow path optimization, sourcing strategy, capacity planning, and network sensitivity analysis—often combined in end-to-end models.
How does Lyric change the role of the supply chain modeler?
Modelers shift from maintaining one-off studies to building reusable decision products that scale across the enterprise.
Name 3 capabilities Lyric where excels in Network Modeling capared to Legacy solutions?
Predictions (ML/Time series)
Daisy-Chain Use Cases
Compute + Scalability
Simulation Algorithms
How are Lyric customers using the platform for traditional network design decisions?
Customers use Lyric to evaluate facility location, DC placement, sourcing paths, and flow optimization under cost, capacity, and service constraints. Examples include Petco and PepsiCo using Lyric to validate long-term DC strategies and avoid unnecessary capital investments while maintaining service levels.
“Isn’t Lyric too flexible? We want something proven.”
Lyric includes proven accelerators for network optimization, inventory, and routing—while also allowing teams to extend beyond predefined templates as their needs evolve.
How often do customers rerun network models in Lyric?
Unlike annual studies, many customers rerun scenarios weekly or monthly as costs, demand, or constraints change—turning network modeling into an operational capability.
What happens when assumptions change mid-cycle?
Lyric is built for change—models can be rerun automatically as inputs shift, without rebuilding logic from scratch.
How does Lyric compare to custom Python or in-house modeling solutions?
Custom solutions offer flexibility but struggle with scale, governance, and reuse. Lyric gives customers the same flexibility while providing enterprise-grade data pipelines, workflow automation, and reusable decision engines.
How do customers move beyond static network studies with Lyric?
Instead of one-off studies, customers operationalize network models as living systems that can be rerun frequently. Many customers connect Lyric to enterprise data clouds and refresh scenarios weekly or monthly to respond to demand shifts, cost changes, or capacity constraints.
Who did we lose the General Mills ND proposal to and why?
Optilogic, relationship with leadership and readiness for "Frontier Modeling"
Who typically uses Lyric inside an organization?
Modelers, planners, finance teams, operators, and executives all engage with Lyric—each through tailored experiences built on the same underlying models.
What’s the biggest mindset shift customers experience with Lyric?
They stop thinking in terms of “projects” and start thinking in terms of “products”—living models that continuously guide decisions.
Define Traditional vs. Frontier Network Modeling
Traditional Network Modeling: Traditional network modeling refers to the class of use cases customers typically associate with legacy tools like Llamasoft (Coupa SCG). These models focus on relatively well-defined, static problems such as facility location, lane flows, and cost–service tradeoffs, usually solved periodically and in isolation from adjacent planning decisions.
Frontier Network Modeling: Frontier network modeling addresses more complex, forward-looking problems that go beyond standard network design. These use cases require innovative problem solving and composable modeling—such as end-to-end network optimization at PepsiCo or capacity planning at Niagara—where network decisions are tightly linked with inventory, production, financials, or operational constraints and must support frequent scenario iteration and evolution over time.
How is Lyric enabling end-to-end network modeling?
Customers like PepsiCo and Niagara use Lyric to connect sourcing, production, inventory, and distribution decisions into a single end-to-end optimization framework. This allows them to understand cross-functional tradeoffs that traditional siloed network tools cannot capture.
“Will this require heavy IT involvement?”
Lyric is designed for modelers and analysts to own solutions. With no-code workflows and automated data refreshes, IT involvement is minimized after initial data connections.
Can Lyric support both strategic and tactical decisions?
Yes. Customers use the same models to evaluate long-term network strategy and short-term operational tradeoffs, avoiding the handoffs and inconsistencies of siloed tools.
How do Lyric customers analyze tariffs with network modeling?
Lyric customers analyze tariffs by embedding tariff structures directly into network and sourcing models, allowing them to quantify the true cost impact across suppliers, lanes, facilities, and regions. Using scenario-based modeling, teams evaluate alternatives such as supplier switching, nearshoring, flow re-routing, product segmentation, or facility reconfiguration—while balancing cost, service, capacity, and risk. Because Lyric supports always-on modeling, customers can rapidly rerun tariff scenarios as policies change and turn what is traditionally a reactive analysis into a continuous decision capability
What competitive advantage does Lyric provide for complex, end-to-end modeling?
Lyric allows teams to compose multiple engines—network, inventory, production, transportation—into a single decision system. This enables tradeoff analysis that competitors typically solve in disconnected models.
What business outcomes are customers driving with Lyric-based network modeling?
Customers consistently identify material cost savings, avoided capital expenditures, faster decision cycles, and improved confidence in strategic decisions. In several cases, network modeling with Lyric has unlocked multi-million-dollar savings while also improving service levels and operational resilience.
“Will business users actually trust and use the outputs?”
Yes—because Lyric delivers insights through role-specific interfaces and repeatable workflows, not black-box studies. This transparency drives adoption beyond modeling teams.
How does Lyric handle large, complex data sets?
Lyric connects directly to enterprise data sources and processes hundreds of millions to billions of records, enabling realistic modeling at production scale.
How can Lyric support sustainability and emissions analysis?
Lyric enables sustainability and emissions analysis by embedding carbon metrics directly into network, transportation, and sourcing models rather than treating them as a separate exercise. Customers can model emissions alongside cost, service, and capacity—evaluating tradeoffs such as mode shifts, facility placement, sourcing strategies, and network redesign—using always-on, scenario-based analysis that adapts as assumptions and regulations change.