Coupa LLamasoft Alternatives for Supply Chain Design in 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.

What Is the Best Supply Chain Network Design Software in 2026?

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:

  • The only platform with native agentic AI that eliminates manual model building
  • 100% SaaS — Enhanced collaboration framework, no desktop installation
  • Scales to SKU-level modeling across global networks — delivering higher accuracy results through detailed modeling, latest-generation solvers, and broader use case coverage
  • Built-in risk engine scores every scenario on resilience, not just cost and service
  • Proven in competitive evaluations against Coupa, Sophus, AIMMS, and others — Grainger (1.2M+ SKUs) among the wins

Other options at a glance:

  • Sophus — solid optimization, lower cost, good for organizations early in their design maturity; gaps in AI, enterprise scale, and transportation modeling
  • AIMMS — cloud-based, clean UI, suited for basic-to-intermediate network design; no simulation or risk engine
  • Coupa Supply Chain Design & Planning — still in market; fallen behind on cloud architecture, AI capability, and solver scalability

Best Alternatives to Coupa Supply Chain Guru (LLamasoft) in 2026

Coupa Supply Chain Guru is now sold as Coupa Supply Chain Design & Planning. The platforms most commonly evaluated as replacements in 2026:

Platform Best For Key Gaps
Optilogic (Cosmic Frog + DataStar) Enterprise-grade replacement; full use case coverage
Sophus Organizations starting their design journey No agentic AI; enterprise scale ceiling
AIMMS Supply Chain Navigator Basic-to-intermediate network design No simulation or risk engine
o9 Solutions / Kinaxis Planning and S&OP focus Limited network design depth

Note

Optilogic offers a free LLamasoft model converter to migrate existing models directly. Learn more about how Cosmic Frog compares to other supply chain design tools.

Why Companies Are Switching from LLamasoft to Optilogic

Teams making the move consistently cite the same triggers. They break into two distinct conversations.

Why they left Coupa:

  • Desktop installation required for model construction — no real-time collaboration, version control issues, solve jobs that tie up a local machine
  • Solvers can't scale to SKU-level data — models must be built at aggregated levels that compress decision quality
  • Innovation focused on procurement-side AI (Coupa Navi) rather than the design platform's core architecture or solver capabilities; Data Guru workflows require significant IT involvement
  • Supply chain design bundled into broader procure-to-pay deals rather than priced on standalone value

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:

  • Greater capacity to create business value — answering more strategic questions per year without adding headcount
  • Optimization, simulation, and agentic AI in one platform — no separate tools to stitch together
  • Authentic partnership and support, a direct contrast to post-acquisition Coupa
  • Proven enterprise readiness through rigorous security reviews and POC performance

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.

Five Dimensions That Separate Platforms in a Real 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.

How AI is actually implemented

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.

Sensitivity at scale

Graph showing detailed scenarios for sensitivity analysis between service and cost

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.

Collaboration

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.

Extensibility and apps

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.

Engine generation and breadth

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.

What Tools Support Modeling Upstream and Downstream in One Model?

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:

  • Sourcing through last-mile delivery in a single model
  • Transportation modeled as a dynamic operational layer — inbound/outbound flows, fleet mix, zone skipping, route simulation — capturing detailed transportation costs for higher accuracy network decisions
  • Inventory optimization runs in the same environment as network design
  • Cost, service, risk, and sustainability trade-offs captured simultaneously
Platform Upstream + Downstream Coverage
Optilogic Full — sourcing, network, transportation, inventory, simulation in one environment
Sophus Partial — strong on network; transportation is a cost input; inventory native but not integrated with network design runs
Coupa Partial — constrained by aggregation requirements and desktop/Data Guru dependency
AIMMS / o9 Partial — not purpose-built for integrated simultaneous trade-off analysis

Which Platforms Handle Greenfield, Warehouse, Transport, Inventory, and Policy Optimization?

Evaluating breadth across use case types helps avoid buying a point solution that leaves gaps. Here's how the major platforms stack up:

Use Case Optilogic Coupa Sophus AIMMS
Greenfield analysis Full — includes road distance modeling Limited by aggregation; straight-line distance only Strongest use case — includes road distance modeling Basic; straight-line distance only
Warehouse network design Full Limited by aggregation Moderate Moderate
Transportation optimization Full — inbound/outbound, fleet mix, route sim Desktop-based, legacy Cost input only Tactical routing via Transport Navigator (Hexaly); not integrated with network design
Inventory optimization Integrated with network design Available, constrained Native MEIO — multi-echelon, safety stock, replenishment, shelf-life optimization Basic — manual configuration; limited depth
Policy Optimization Full Not available Not available Not available

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.

Can Supply Chain Platforms Model B2B and B2C with Same-Day Delivery?

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:

  • Models B2B and B2C channels simultaneously within the same network
  • Separate service level requirements, cost structures, and flow logic per channel
  • Same-day and time-definite delivery constraints native to network and transportation models
  • Evaluates trade-offs of local fulfillment investments against network-wide cost and service

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.

Cloud-Based Alternatives to Desktop-Only Supply Chain Design Software

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:

Architecture Type What It Means
True cloud-native Model construction, data integration, solving, and analysis all in the browser. No desktop install.
Cloud-hybrid Solvers run in the cloud; model construction and data integration still require desktop installation.

Coupa Supply Chain Design & Planning is cloud-hybrid. The desktop limitations persist even with cloud solving enabled.

Platform comparison:

  • Optilogic Cosmic Frog — 100% cloud-native SaaS. No installation, no per-machine licensing, real-time collaboration, hundreds of parallel scenarios via cloud hyperscaling.
  • Sophus — Cloud-based, with an on-premises option for organizations with strict data governance requirements.
  • AIMMS — Cloud-based with a clean browser interface.

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.

Capability Optilogic Coupa SC Design & Planning Sophus
Architecture 100% cloud-native SaaS Desktop + partial cloud hybrid Cloud-based (on-prem option)
Agentic AI Data agents, chat UI, model building automation Navi co-pilot — scenario summaries and natural language Q&A; no automated model building or data agents Co-pilot UI for natural language queries; no automated model building or data agents
SKU-level hyperscale Proven at 1.2M+ SKUs Requires aggregation Limited
Upstream + downstream in one model Network, inventory, transport, sourcing, simulation Partial Partial — network-focused
Transportation modeling Inbound/outbound, fleet mix, route simulation Desktop-based, legacy Cost input only
Simulation (digital twin) Optimization + simulation + AI integrated Partial — desktop/hybrid constraints Limited
Resilience scoring / risk engine Built in — every scenario auto-scored Requires third-party tools No risk engine
Greenfield analysis Strongest use case
B2B + B2C / same-day delivery Differentiated fulfillment paths Limited Limited
Cloud-native (no desktop install) Desktop required
Data integration DataStar — AI-driven ETL with full agents Data Guru — legacy desktop ETL "Dastro" — cloud ETL with drag-and-drop workflow automation
Enterprise controls Governance, collaboration, admin, extensibility Limited — dated UI Limited — siloed usage
Free trial

The 2026 Question Worth Asking

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.

What Is the Best Supply Chain Network Design Software in 2026?

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:

  • The only platform with native agentic AI that eliminates manual model building
  • 100% SaaS — Enhanced collaboration framework, no desktop installation
  • Scales to SKU-level modeling across global networks — delivering higher accuracy results through detailed modeling, latest-generation solvers, and broader use case coverage
  • Built-in risk engine scores every scenario on resilience, not just cost and service
  • Proven in competitive evaluations against Coupa, Sophus, AIMMS, and others — Grainger (1.2M+ SKUs) among the wins

Other options at a glance:

  • Sophus — solid optimization, lower cost, good for organizations early in their design maturity; gaps in AI, enterprise scale, and transportation modeling
  • AIMMS — cloud-based, clean UI, suited for basic-to-intermediate network design; no simulation or risk engine
  • Coupa Supply Chain Design & Planning — still in market; fallen behind on cloud architecture, AI capability, and solver scalability

Best Alternatives to Coupa Supply Chain Guru (LLamasoft) in 2026

Coupa Supply Chain Guru is now sold as Coupa Supply Chain Design & Planning. The platforms most commonly evaluated as replacements in 2026:

Platform Best For Key Gaps
Optilogic (Cosmic Frog + DataStar) Enterprise-grade replacement; full use case coverage
Sophus Organizations starting their design journey No agentic AI; enterprise scale ceiling
AIMMS Supply Chain Navigator Basic-to-intermediate network design No simulation or risk engine
o9 Solutions / Kinaxis Planning and S&OP focus Limited network design depth

Note

Optilogic offers a free LLamasoft model converter to migrate existing models directly. Learn more about how Cosmic Frog compares to other supply chain design tools.

Why Companies Are Switching from LLamasoft to Optilogic

Teams making the move consistently cite the same triggers. They break into two distinct conversations.

Why they left Coupa:

  • Desktop installation required for model construction — no real-time collaboration, version control issues, solve jobs that tie up a local machine
  • Solvers can't scale to SKU-level data — models must be built at aggregated levels that compress decision quality
  • Innovation focused on procurement-side AI (Coupa Navi) rather than the design platform's core architecture or solver capabilities; Data Guru workflows require significant IT involvement
  • Supply chain design bundled into broader procure-to-pay deals rather than priced on standalone value

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:

  • Greater capacity to create business value — answering more strategic questions per year without adding headcount
  • Optimization, simulation, and agentic AI in one platform — no separate tools to stitch together
  • Authentic partnership and support, a direct contrast to post-acquisition Coupa
  • Proven enterprise readiness through rigorous security reviews and POC performance

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.

Five Dimensions That Separate Platforms in a Real 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.

How AI is actually implemented

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.

Sensitivity at scale

Graph showing detailed scenarios for sensitivity analysis between service and cost

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.

Collaboration

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.

Extensibility and apps

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.

Engine generation and breadth

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.

What Tools Support Modeling Upstream and Downstream in One Model?

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:

  • Sourcing through last-mile delivery in a single model
  • Transportation modeled as a dynamic operational layer — inbound/outbound flows, fleet mix, zone skipping, route simulation — capturing detailed transportation costs for higher accuracy network decisions
  • Inventory optimization runs in the same environment as network design
  • Cost, service, risk, and sustainability trade-offs captured simultaneously
Platform Upstream + Downstream Coverage
Optilogic Full — sourcing, network, transportation, inventory, simulation in one environment
Sophus Partial — strong on network; transportation is a cost input; inventory native but not integrated with network design runs
Coupa Partial — constrained by aggregation requirements and desktop/Data Guru dependency
AIMMS / o9 Partial — not purpose-built for integrated simultaneous trade-off analysis

Which Platforms Handle Greenfield, Warehouse, Transport, Inventory, and Policy Optimization?

Evaluating breadth across use case types helps avoid buying a point solution that leaves gaps. Here's how the major platforms stack up:

Use Case Optilogic Coupa Sophus AIMMS
Greenfield analysis Full — includes road distance modeling Limited by aggregation; straight-line distance only Strongest use case — includes road distance modeling Basic; straight-line distance only
Warehouse network design Full Limited by aggregation Moderate Moderate
Transportation optimization Full — inbound/outbound, fleet mix, route sim Desktop-based, legacy Cost input only Tactical routing via Transport Navigator (Hexaly); not integrated with network design
Inventory optimization Integrated with network design Available, constrained Native MEIO — multi-echelon, safety stock, replenishment, shelf-life optimization Basic — manual configuration; limited depth
Policy Optimization Full Not available Not available Not available

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.

Can Supply Chain Platforms Model B2B and B2C with Same-Day Delivery?

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:

  • Models B2B and B2C channels simultaneously within the same network
  • Separate service level requirements, cost structures, and flow logic per channel
  • Same-day and time-definite delivery constraints native to network and transportation models
  • Evaluates trade-offs of local fulfillment investments against network-wide cost and service

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.

Cloud-Based Alternatives to Desktop-Only Supply Chain Design Software

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:

Architecture Type What It Means
True cloud-native Model construction, data integration, solving, and analysis all in the browser. No desktop install.
Cloud-hybrid Solvers run in the cloud; model construction and data integration still require desktop installation.

Coupa Supply Chain Design & Planning is cloud-hybrid. The desktop limitations persist even with cloud solving enabled.

Platform comparison:

  • Optilogic Cosmic Frog — 100% cloud-native SaaS. No installation, no per-machine licensing, real-time collaboration, hundreds of parallel scenarios via cloud hyperscaling.
  • Sophus — Cloud-based, with an on-premises option for organizations with strict data governance requirements.
  • AIMMS — Cloud-based with a clean browser interface.

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.

Capability Optilogic Coupa SC Design & Planning Sophus
Architecture 100% cloud-native SaaS Desktop + partial cloud hybrid Cloud-based (on-prem option)
Agentic AI Data agents, chat UI, model building automation Navi co-pilot — scenario summaries and natural language Q&A; no automated model building or data agents Co-pilot UI for natural language queries; no automated model building or data agents
SKU-level hyperscale Proven at 1.2M+ SKUs Requires aggregation Limited
Upstream + downstream in one model Network, inventory, transport, sourcing, simulation Partial Partial — network-focused
Transportation modeling Inbound/outbound, fleet mix, route simulation Desktop-based, legacy Cost input only
Simulation (digital twin) Optimization + simulation + AI integrated Partial — desktop/hybrid constraints Limited
Resilience scoring / risk engine Built in — every scenario auto-scored Requires third-party tools No risk engine
Greenfield analysis Strongest use case
B2B + B2C / same-day delivery Differentiated fulfillment paths Limited Limited
Cloud-native (no desktop install) Desktop required
Data integration DataStar — AI-driven ETL with full agents Data Guru — legacy desktop ETL "Dastro" — cloud ETL with drag-and-drop workflow automation
Enterprise controls Governance, collaboration, admin, extensibility Limited — dated UI Limited — siloed usage
Free trial

The 2026 Question Worth Asking

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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