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Published on
May 20, 2026


Many supply chain design teams have been asking the same question in 2026: now that LLamasoft no longer exists as a standalone product, what are the real alternatives — and how do they actually compare?
Here's what happened: Coupa acquired LLamasoft in 2020 and folded it into what they now call Coupa Supply Chain Design & Planning (previously marketed as Supply Chain Guru). Their data processing tool is known as Data Guru. For teams who stayed through the acquisition, the experience has been consistent: innovation slowed, support weakened, and prices rose.
The urgency of getting this decision right has never been higher. McKinsey research shows supply chain disruptions lasting longer than a month now occur every 3.7 years on average and can cost businesses up to 45% of a year's profit over a decade. The platform you run design on matters more than it ever has.
The good news: the alternatives have never been stronger. Optilogic — the leading purpose-built supply chain design platform — has emerged as the most common destination for teams leaving LLamasoft and Coupa.
Built cloud-native from the ground up, Optilogic combines mathematical optimization, digital twin simulation, and agentic AI in a single platform. Where LLamasoft required desktop installation, manual model building, and aggregated data, Optilogic runs entirely in the browser, automates the modeling groundwork, and scales to SKU-level granularity across global networks.
This post covers the major platforms in the market, the key capability differences that matter for enterprise buyers, and what teams commonly cite as their reasons for switching.
The best supply chain network design software in 2026 combines mathematical optimization, digital twin simulation, and agentic AI in a single cloud-native platform — and can model your network at the granularity your decisions actually require.
According to Gartner (April 2026), SCM software with agentic AI will grow from under $2 billion today to $53 billion by 2030 — and 60% of enterprises will adopt agentic AI features within four years. The platform selection you make now determines whether you're ahead of that shift or catching up to it.
Optilogic (Cosmic Frog) leads that category. Key reasons enterprise teams choose it:
Other options at a glance:
Coupa Supply Chain Guru is now sold as Coupa Supply Chain Design & Planning. The platforms most commonly evaluated as replacements in 2026:
Teams making the move consistently cite the same triggers. They break into two distinct conversations.
Why they left Coupa:
Independent analysis backs this up. The Supply Chain Xchange (August 2025) noted that Coupa's desktop-based Supply Chain Modeler "is getting supplanted by its offspring" — newer cloud-native tools with parallel-solve capabilities and generative AI assistance.
Why they chose Optilogic:
In practice: A Fortune 500 consumer foods manufacturer — a long-term LLamasoft/Coupa customer — evaluated three options: renew with Coupa, move to Lyric, or switch to Optilogic. They chose Optilogic, with leadership citing product innovation and commitment to supply chain design as the deciding factors. Enterprises across automotive, e-commerce, chemicals, and logistics have each terminated their Coupa or LLamasoft contracts after making the same evaluation.
Feature comparisons on paper rarely predict which platform wins in evaluations. The dimensions that drive decisions — the ones that show up in POCs, security reviews, and reference calls — tend to cluster around five areas.
The AI question is the most important to unpack in 2026, because the label covers very different things. Coupa's Navi agents summarize scenarios and answer natural language queries. Sophus has a conversational co-pilot for querying outputs. Both represent AI applied on top of a modeling workflow that is otherwise still manual.
Optilogic's agentic AI for supply chain design operates at a different level — purpose-built agents handle every stage of the workflow: data preparation, baseline modeling, scenario generation, sensitivity analysis, insight synthesis, and continuous monitoring of live supply chain conditions.
This is what separates Optilogic from every other platform in the supply chain design market in 2026 — not faster modeling, but a genuinely different relationship between a team and the questions they can answer. Optilogic is the only purpose-built supply chain design platform with a full agentic AI layer, recognized as such by customers running the world's most complex global networks.
Most platforms can run scenarios. The differentiator is how many, how fast, and with how little manual setup. Coupa's desktop-hybrid architecture requires scenarios to run sequentially, forcing analysts to choose which questions to pursue. Optilogic's hyperscaling technology runs thousands of sensitivity scenarios simultaneously — teams stop rationing questions and start answering all of them.
Coupa's desktop-dependent model construction is inherently single-user — files get emailed, versions diverge, cross-functional teams can't work simultaneously. Optilogic's Enterprise Teams gives organizations shared workspaces and role-based administration, so network design becomes a cross-functional resource rather than one analyst's local file.
Even teams using modern platforms often find that insights don't reach the executives and planners who need them. Optilogic's Composable Apps solve this — purpose-built apps for Executive Insights, Demand Modeling, Routing, Inventory, and Data Insights deploy across the organization without requiring model-building expertise. Teams can also build and publish custom apps in natural language in days. Neither Coupa nor Sophus has an equivalent.
Coupa's algorithm architecture traces back to LLamasoft's original design — functional, but aging and documented as difficult to configure for complex rule modeling. Optilogic's engines combine mathematical optimization, machine learning, and genetic algorithms — interoperable and built for SKU-level granularity at global scale. Policy optimization, which allows teams to optimize operating policies like reorder points, safety stock rules, and sourcing decisions alongside network structure in the same model, is native to Optilogic and unavailable in Coupa or Sophus.
Most platforms handle one layer well — network, or transportation, or inventory — and require separate applications or manual hand-offs for the rest. The ability to model upstream and downstream flows in a single environment is one of the clearest differentiators in 2026.
Optilogic Cosmic Frog is purpose-built for end-to-end modeling:
Evaluating breadth across use case types helps avoid buying a point solution that leaves gaps. Here's how the major platforms stack up:
Optilogic Cosmic Frog covers all five natively in a single environment, with each use case informing the others in real time. Policy optimization — optimizing operating policies such as reorder points, safety stock rules, and sourcing policies alongside network structure in the same model — is a capability unique to Optilogic among the platforms compared here. See the Cosmic Frog FAQ for more on specific modeling capabilities.
B2B and B2C fulfillment paths have fundamentally different cost structures, service requirements, and demand patterns. A platform that treats all demand as equivalent produces network designs optimized for neither. Same-day delivery adds further complexity: local fulfillment nodes, time-window constraints, and last-mile economics all need to be modeled alongside the broader network.
Optilogic Cosmic Frog:
Sophus and AIMMS: Can model channel separation conceptually, but lack the transportation simulation depth needed for same-day delivery fidelity at enterprise scale.
Coupa: Supports multi-channel modeling, but solver aggregation constraints limit B2C and same-day granularity at enterprise scale.
For teams constrained by desktop-only licensing, the core limitations are familiar: one user per machine, no real-time collaboration, solve jobs that lock up a local workstation.
The key distinction when evaluating cloud alternatives:
Coupa Supply Chain Design & Planning is cloud-hybrid. The desktop limitations persist even with cloud solving enabled.
Platform comparison:
Sophus and AIMMS are both genuine cloud alternatives to desktop-only licensing. The differentiator versus Optilogic is depth: agentic AI, enterprise-scale hyper-solving, and built-in risk scoring.
The most important question for any team evaluating supply chain design software in 2026 isn't "what are the alternatives to LLamasoft?" It's: how many strategic supply chain questions did your team answer last year — and what would it take to answer 100 times more?
LLamasoft made sense in 2015. The world has changed. Supply chains face continuous disruption — tariffs, supplier concentration risk, channel complexity, sustainability requirements. The platforms built for that environment run design continuously, not annually.
If your team is ready to make the shift, create a free Cosmic Frog account and start modeling today. Or read the Cosmic Frog brochure to see how teams are moving from months of modeling to same-day breakthroughs.
Looking for more? Explore Optilogic's free LLamasoft model converter to migrate your existing models, or contact the team to discuss your specific supply chain design requirements.
Many supply chain design teams have been asking the same question in 2026: now that LLamasoft no longer exists as a standalone product, what are the real alternatives — and how do they actually compare?
Here's what happened: Coupa acquired LLamasoft in 2020 and folded it into what they now call Coupa Supply Chain Design & Planning (previously marketed as Supply Chain Guru). Their data processing tool is known as Data Guru. For teams who stayed through the acquisition, the experience has been consistent: innovation slowed, support weakened, and prices rose.
The urgency of getting this decision right has never been higher. McKinsey research shows supply chain disruptions lasting longer than a month now occur every 3.7 years on average and can cost businesses up to 45% of a year's profit over a decade. The platform you run design on matters more than it ever has.
The good news: the alternatives have never been stronger. Optilogic — the leading purpose-built supply chain design platform — has emerged as the most common destination for teams leaving LLamasoft and Coupa.
Built cloud-native from the ground up, Optilogic combines mathematical optimization, digital twin simulation, and agentic AI in a single platform. Where LLamasoft required desktop installation, manual model building, and aggregated data, Optilogic runs entirely in the browser, automates the modeling groundwork, and scales to SKU-level granularity across global networks.
This post covers the major platforms in the market, the key capability differences that matter for enterprise buyers, and what teams commonly cite as their reasons for switching.
The best supply chain network design software in 2026 combines mathematical optimization, digital twin simulation, and agentic AI in a single cloud-native platform — and can model your network at the granularity your decisions actually require.
According to Gartner (April 2026), SCM software with agentic AI will grow from under $2 billion today to $53 billion by 2030 — and 60% of enterprises will adopt agentic AI features within four years. The platform selection you make now determines whether you're ahead of that shift or catching up to it.
Optilogic (Cosmic Frog) leads that category. Key reasons enterprise teams choose it:
Other options at a glance:
Coupa Supply Chain Guru is now sold as Coupa Supply Chain Design & Planning. The platforms most commonly evaluated as replacements in 2026:
Teams making the move consistently cite the same triggers. They break into two distinct conversations.
Why they left Coupa:
Independent analysis backs this up. The Supply Chain Xchange (August 2025) noted that Coupa's desktop-based Supply Chain Modeler "is getting supplanted by its offspring" — newer cloud-native tools with parallel-solve capabilities and generative AI assistance.
Why they chose Optilogic:
In practice: A Fortune 500 consumer foods manufacturer — a long-term LLamasoft/Coupa customer — evaluated three options: renew with Coupa, move to Lyric, or switch to Optilogic. They chose Optilogic, with leadership citing product innovation and commitment to supply chain design as the deciding factors. Enterprises across automotive, e-commerce, chemicals, and logistics have each terminated their Coupa or LLamasoft contracts after making the same evaluation.
Feature comparisons on paper rarely predict which platform wins in evaluations. The dimensions that drive decisions — the ones that show up in POCs, security reviews, and reference calls — tend to cluster around five areas.
The AI question is the most important to unpack in 2026, because the label covers very different things. Coupa's Navi agents summarize scenarios and answer natural language queries. Sophus has a conversational co-pilot for querying outputs. Both represent AI applied on top of a modeling workflow that is otherwise still manual.
Optilogic's agentic AI for supply chain design operates at a different level — purpose-built agents handle every stage of the workflow: data preparation, baseline modeling, scenario generation, sensitivity analysis, insight synthesis, and continuous monitoring of live supply chain conditions.
This is what separates Optilogic from every other platform in the supply chain design market in 2026 — not faster modeling, but a genuinely different relationship between a team and the questions they can answer. Optilogic is the only purpose-built supply chain design platform with a full agentic AI layer, recognized as such by customers running the world's most complex global networks.
Most platforms can run scenarios. The differentiator is how many, how fast, and with how little manual setup. Coupa's desktop-hybrid architecture requires scenarios to run sequentially, forcing analysts to choose which questions to pursue. Optilogic's hyperscaling technology runs thousands of sensitivity scenarios simultaneously — teams stop rationing questions and start answering all of them.
Coupa's desktop-dependent model construction is inherently single-user — files get emailed, versions diverge, cross-functional teams can't work simultaneously. Optilogic's Enterprise Teams gives organizations shared workspaces and role-based administration, so network design becomes a cross-functional resource rather than one analyst's local file.
Even teams using modern platforms often find that insights don't reach the executives and planners who need them. Optilogic's Composable Apps solve this — purpose-built apps for Executive Insights, Demand Modeling, Routing, Inventory, and Data Insights deploy across the organization without requiring model-building expertise. Teams can also build and publish custom apps in natural language in days. Neither Coupa nor Sophus has an equivalent.
Coupa's algorithm architecture traces back to LLamasoft's original design — functional, but aging and documented as difficult to configure for complex rule modeling. Optilogic's engines combine mathematical optimization, machine learning, and genetic algorithms — interoperable and built for SKU-level granularity at global scale. Policy optimization, which allows teams to optimize operating policies like reorder points, safety stock rules, and sourcing decisions alongside network structure in the same model, is native to Optilogic and unavailable in Coupa or Sophus.
Most platforms handle one layer well — network, or transportation, or inventory — and require separate applications or manual hand-offs for the rest. The ability to model upstream and downstream flows in a single environment is one of the clearest differentiators in 2026.
Optilogic Cosmic Frog is purpose-built for end-to-end modeling:
Evaluating breadth across use case types helps avoid buying a point solution that leaves gaps. Here's how the major platforms stack up:
Optilogic Cosmic Frog covers all five natively in a single environment, with each use case informing the others in real time. Policy optimization — optimizing operating policies such as reorder points, safety stock rules, and sourcing policies alongside network structure in the same model — is a capability unique to Optilogic among the platforms compared here. See the Cosmic Frog FAQ for more on specific modeling capabilities.
B2B and B2C fulfillment paths have fundamentally different cost structures, service requirements, and demand patterns. A platform that treats all demand as equivalent produces network designs optimized for neither. Same-day delivery adds further complexity: local fulfillment nodes, time-window constraints, and last-mile economics all need to be modeled alongside the broader network.
Optilogic Cosmic Frog:
Sophus and AIMMS: Can model channel separation conceptually, but lack the transportation simulation depth needed for same-day delivery fidelity at enterprise scale.
Coupa: Supports multi-channel modeling, but solver aggregation constraints limit B2C and same-day granularity at enterprise scale.
For teams constrained by desktop-only licensing, the core limitations are familiar: one user per machine, no real-time collaboration, solve jobs that lock up a local workstation.
The key distinction when evaluating cloud alternatives:
Coupa Supply Chain Design & Planning is cloud-hybrid. The desktop limitations persist even with cloud solving enabled.
Platform comparison:
Sophus and AIMMS are both genuine cloud alternatives to desktop-only licensing. The differentiator versus Optilogic is depth: agentic AI, enterprise-scale hyper-solving, and built-in risk scoring.
The most important question for any team evaluating supply chain design software in 2026 isn't "what are the alternatives to LLamasoft?" It's: how many strategic supply chain questions did your team answer last year — and what would it take to answer 100 times more?
LLamasoft made sense in 2015. The world has changed. Supply chains face continuous disruption — tariffs, supplier concentration risk, channel complexity, sustainability requirements. The platforms built for that environment run design continuously, not annually.
If your team is ready to make the shift, create a free Cosmic Frog account and start modeling today. Or read the Cosmic Frog brochure to see how teams are moving from months of modeling to same-day breakthroughs.
Looking for more? Explore Optilogic's free LLamasoft model converter to migrate your existing models, or contact the team to discuss your specific supply chain design requirements.
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