A Decision- Centered View of the Supply Chain

Plan, model, and decide on one system, so a choice in one place shows up everywhere it matters.

Modeling, planning and execution. The shape of the work is the same underneath: connected decisions across every horizon.

Traditional software defines those connections for you and ships them as packaged use cases, built around a generic reference supply chain. Yours does not look like that.

The decisions you run, as one living mesh.

Your network design drives transportation cost; your inventory policy sets service; strategy only pays off when it reaches the floor.

Planning
Modeling
Decision Intelligence
Composable by Design
Lyric Studio
Unified Semantic Layer
Manufacturing Network Design
Distribution Network Design
Sourcing & Supplier Network Design
Greenfield Network Design
Channel Network Architecture
Cross-Dock vs Stock Flow Architecture
Postponement Network Design
Reverse Logistics Network Design
Sustainability & Carbon Footprint Network Design
Network Scenario Modeling & Simulation
Demand Forecasting
Demand Sensing
Probabilistic / Quantile Demand Forecasting
New Product Introduction (NPI) Forecasting
End-of-Life / Phase-Out Demand Planning
Promotional Demand Forecasting
Cannibalization & Halo Modeling
Demand Shaping
Long-Range Demand Planning
Out-of-Stock Forensics & Prediction
Supply Planning
Sales & Operations Planning (S&OP / IBP)
Master Production Schedule (MPS)
Production Planning
Detailed Production Scheduling
Material Requirements Planning (MRP)
Rough Cut Capacity Planning (RCCP)
Multi-Plant Production Allocation
Co-Pack / Co-Man Allocation
Raw Material Sourcing Optimization
Multi-Echelon Inventory Optimization (MEIO)
Days-of-Supply / Inventory Norm Setting
Deployment Planning
Distribution Requirements Planning (DRP)
Allocation Optimization
Inventory Pooling Strategy
Slow & Obsolete Inventory Management
Postponement Inventory Strategy
Substitution Recommendation
Order Promising (ATP/CTP)
Transportation Planning
Lane Optimization
Load Build Optimization
Load Consolidation
Carrier Selection & Rate Management
Freight Procurement / RFP Optimization
Fleet Sizing & Mix
Drayage & Intermodal Optimization
Last-Mile Fulfillment Optimization
Order ETA Prediction
Capacity Modeling & Sizing
Line & Asset Utilization Optimization (OEE)
Bottleneck Identification & Debottlenecking
Changeover Optimization
Planned Maintenance Scheduling
Labor Planning & Staffing
Shift & Workforce Scheduling
Co-Pack Capacity Reservation
Warehouse Throughput Optimization
Capacity Investment / CapEx Planning
Collaborative Strategic Planning (S&OP / IBP)
Supply Chain Command Center (S&OE)
Supply Chain Segmentation
Omni Channel Optimization
N-Tier Supplier Visibility
Real-time Order Analytics
Customer Service Companion
Returns Optimization
Sustainable Optimization
Cost-to-serve modeling
Service parts & aftermarket planning
Enterprise Scenario Planning
Risk & Resilience Optimization
Commodity Hedging Strategy
Sourcing Policy Optimization
Geopolitical & tariff modeling
Climate & ESG risk
Service Level Optimization
Customer Allocation
Long-term Contract Negotiation
Sustainable Optimization
Tariff & trade compliance
Regulatory compliance frameworks

Find your use case. See where it starts.

Three journeys most supply chain teams know well. Each is drawn from a real team's path: where the work stood before, and what changed first with Lyric Studio.

Optimize

Predict

Plan

Simulate

Compose

Decide

Act & learn

01

Supply Chain Planning

For the planning lead who spends more time defending the forecast than deciding with it.

Stop defending the plan. Start marking the call.

For the planning lead who spends more time defending the forecast than deciding with it. Lyric turns the hunt for one  perfect plan into continuous deciding,

Lyric Studio replaces the single-plan mindset with a living decision mesh that guides choices across potential outcomes, synchronizes decisions across the planning funnel, and organizes actions across stakeholders and systems.

One connected model

How your journey will be different with Lyric Studio?

A chain of decisions, not a stack of point tools

Network, demand, supply, production and transportation run on one interoperable foundation, so upstream calls flow into every downstream decision, always the best global call across functions and horizons.

A composable system, not rigid workflows

Decision frameworks that flex with the business. Go live in weeks, model different strategies, adjust policies as things change, and evolve workflows as teams grow.

A range of futures, not a single plan

Sensitivities and simulation alongside living prediction engines weigh thousands of scenarios, replacing guesswork with proactive decision intelligence.

AI-native, not AI on top

Drawing from catalogs of the latest supply chain science, optimization, heuristics, simulation, machine learning, generative intelligence and agent-based techniques.

What changes for your planning team?

01

From data gatherers to decision architects

Automation and trained agents take over the gathering and grooming, giving planners clean end-to-end visibility and a job that's finally about deciding.

02

Work exceptions and strategy, not every SKU

Agents take the fast mechanical calls; planners focus on the consequential ones, shifting from checking every detail to exceptions, analysis and opportunities.

03

Start with feasible futures, not gut-feel fixes

Tailored supply chain science means plans that work from day one, no more patching algorithmic shortcomings in endless spreadsheets as disruptions emerge mid-cycle.

04

Decide in the moment with self-serve analysis

Leaders answer in-the-moment questions via self-serve analytics right in the meeting, no takeaway scenarios reported days after the decision was needed.

The value that results from thinking differently. Our customers dared to stray from the typical APS approach, and are seeing the value of doing so.

Demand forecasts worth millions

A national fresh-food brand with 1,400+ locations turned sharper demand forecasts into a projected $5M+ across its network.

Live in twelve weeks

An always-on promotion control tower hit first value in about a month, and now handles hundreds of promotion reviews a year that used to be done by hand for just a handful of top accounts.

The best part? You don't need to start from scratch. Our customers don't go on multi-year journeys to rip and replace massive systems already in place. With a truly composable platform, organizations can start exactly where it hurts most.

Start anywhere, go everywhere…Demand Planning, Supply Planning, Order Promise, Production Planning and Detailed Scheduling, Truckload Building, Operational Routing…pick your pain and let's change the way your decisions are being made.

Stop defending the plan. Start marking the call.

For the planning lead who spends more time defending the forecast than deciding with it. Lyric turns the hunt for one  perfect plan into continuous deciding,

Lyric Studio replaces the single-plan mindset with a living decision mesh that guides choices across potential outcomes, synchronizes decisions across the planning funnel, and organizes actions across stakeholders and systems.

One connected model

Demand

Supply

Inventory

S & OP

Transportation

Fulfilment

How your journey will be different with Lyric Studio?

A chain of decisions, not a stack of point tools

Network, demand, supply, production and transportation run on one interoperable foundation, so upstream calls flow into every downstream decision, always the best global call across functions and horizons.

A composable system, not rigid workflows

Decision frameworks that flex with the business. Go live in weeks, model different strategies, adjust policies as things change, and evolve workflows as teams grow.

A range of futures, not a single plan

Sensitivities and simulation alongside living prediction engines weigh thousands of scenarios, replacing guesswork with proactive decision intelligence.

AI-native, not AI on top

Drawing from catalogs of the latest supply chain science, optimization, heuristics, simulation, machine learning, generative intelligence and agent-based techniques.

What changes for your planning team?

01

From data gatherers to decision architects

Automation and trained agents take over the gathering and grooming, giving planners clean end-to-end visibility and a job that's finally about deciding.

02

Work exceptions and strategy, not every SKU

Agents take the fast mechanical calls; planners focus on the consequential ones, shifting from checking every detail to exceptions, analysis and opportunities.

03

Start with feasible futures, not gut-feel fixes

Tailored supply chain science means plans that work from day one, no more patching algorithmic shortcomings in endless spreadsheets as disruptions emerge mid-cycle.

04

Decide in the moment with self-serve analysis

Leaders answer in-the-moment questions via self-serve analytics right in the meeting, no takeaway scenarios reported days after the decision was needed.

The value that results from thinking differently. Our customers dared to stray from the typical APS approach, and are seeing the value of doing so.

Demand forecasts worth millions

A national fresh-food brand with 1,400+ locations turned sharper demand forecasts into a projected $5M+ across its network.

Live in twelve weeks

An always-on promotion control tower hit first value in about a month, and now handles hundreds of promotion reviews a year that used to be done by hand for just a handful of top accounts.

The best part? You don't need to start from scratch. Our customers don't go on multi-year journeys to rip and replace massive systems already in place. With a truly composable platform, organizations can start exactly where it hurts most.
‍

Start anywhere, go everywhere…Demand Planning, Supply Planning, Order Promise, Production Planning and Detailed Scheduling, Truckload Building, Operational Routing…pick your pain and let's change the way your decisions are being made.

02

Modeling

For the modeler stuck redrawing one network study a year. Design once, model always.

Stop defending the plan. Start marking the call.

For the planning lead who spends more time defending the forecast than deciding with it. Lyric turns the hunt for one  perfect plan into continuous deciding,

Lyric Studio replaces the single-plan mindset with a living decision mesh that guides choices across potential outcomes, synchronizes decisions across the planning funnel, and organizes actions across stakeholders and systems.

One connected model

How your journey will be different with Lyric Studio?

A chain of decisions, not a stack of point tools

Network, demand, supply, production and transportation run on one interoperable foundation, so upstream calls flow into every downstream decision, always the best global call across functions and horizons.

A composable system, not rigid workflows

Decision frameworks that flex with the business. Go live in weeks, model different strategies, adjust policies as things change, and evolve workflows as teams grow.

A range of futures, not a single plan

Sensitivities and simulation alongside living prediction engines weigh thousands of scenarios, replacing guesswork with proactive decision intelligence.

AI-native, not AI on top

Drawing from catalogs of the latest supply chain science, optimization, heuristics, simulation, machine learning, generative intelligence and agent-based techniques.

What changes for your planning team?

01

From data gatherers to decision architects

Automation and trained agents take over the gathering and grooming, giving planners clean end-to-end visibility and a job that's finally about deciding.

02

Work exceptions and strategy, not every SKU

Agents take the fast mechanical calls; planners focus on the consequential ones, shifting from checking every detail to exceptions, analysis and opportunities.

03

Start with feasible futures, not gut-feel fixes

Tailored supply chain science means plans that work from day one, no more patching algorithmic shortcomings in endless spreadsheets as disruptions emerge mid-cycle.

04

Decide in the moment with self-serve analysis

Leaders answer in-the-moment questions via self-serve analytics right in the meeting, no takeaway scenarios reported days after the decision was needed.

The value that results from thinking differently. Our customers dared to stray from the typical APS approach, and are seeing the value of doing so.

Demand forecasts worth millions

A national fresh-food brand with 1,400+ locations turned sharper demand forecasts into a projected $5M+ across its network.

Live in twelve weeks

An always-on promotion control tower hit first value in about a month, and now handles hundreds of promotion reviews a year that used to be done by hand for just a handful of top accounts.

The best part? You don't need to start from scratch. Our customers don't go on multi-year journeys to rip and replace massive systems already in place. With a truly composable platform, organizations can start exactly where it hurts most.

Start anywhere, go everywhere…Demand Planning, Supply Planning, Order Promise, Production Planning and Detailed Scheduling, Truckload Building, Operational Routing…pick your pain and let's change the way your decisions are being made.

Stop delivering answers, start delivering the answering machine.

For the modeling teams and COEs fielding more what-ifs than ever before, each one urgent, each one not quite fit for the off-the-shelf tools available.

Lyric Studio replaces one-off studies with living models that connect to enterprise data at scale, rerun on their own schedule, and turn every analysis into a reusable product the whole business can pull from.

Connected models across every horizon

Network

Inventory

Transportation

Tariffs

Strategic

Operational

How your journey will be different with Lyric Studio?

A living model, not a one-time answer

Traditional tools deliver a static output that's out of date before your next question. Lyric Studio stays connected to real data, refreshes automatically, and runs sensitivities on a schedule, a continuous pulse between the big questions.

A composable system, not prebuilt boxes

No more force-fitting your problem into someone else's framework. Combine engines, chain solvers (optimization, simulation, heuristics, ML) and build custom logic with agents so the model fits the question.

A living Decision Mesh, not a spiderweb of analyses

Daisy-chain models, network to transportation to inventory to planning, on shared data and intelligence, not manual handoffs between disconnected tools.

Built for enterprise scale, not toy models

Connect directly to enterprise sources, process billions of records, and balance speed with scale on elastic, distributed and GPU-accelerated compute, robust decisions delivered when needed, not weeks later.

What changes for your modeling team?

01

From modeler to product creator

Agents build the pipelines and automation takes over the manual prep, so modelers focus on end-to-end workflows and reusable tools, the high-value, scalable applications the business needs.

02

From incremental to exponential value

Most logic only creates value in the model it was built in. Reusable decision logic lets modelers build once, then reconfigure and scale across the decision spectrum.

03

All in one environment

ETL, modeling logic, reporting and interfaces created, adapted and delivered in one place, transparent end-to-end workflows ready to bend when the decision changes next week and next year.

04

Answers where decisions happen, not where models live

Model translation becomes part of the output, role-specific interfaces and self-service, agent-based analytics put models directly in the hands of the organization, when and where they need it.

The value that results from thinking differently. Our customers dared to stray from typical supply chain design approaches, and are seeing the value of doing so.

Resilient sourcing through a 250% price shock

When a core commodity spiked to a 60-year high, a global manufacturer modeled 16-year strategic and 1-year tactical scenarios in minutes, not weeks, to protect margin.

More than $8M, surfaced by modeling the entire network at once

A national distributor optimized its 30+ DC network end to end, something its fragmented tools couldn't do, and now serves the same demand with 10% fewer assets.

Modern supply chain decision-making demands more than rigid static answers. Modeling in Lyric Studio reflects this shift. It's about creating living models that fit each problem at hand and let you analyze, optimize, and adapt in the face of constant change.

‍

Composable by design, so one model becomes many. Combine engines, chain solvers, and reuse the logic you build, from network flows to cost to serve to fleet sizing, without starting over each time the question changes.

03

Decision Intelligence

For the data scientist and DI practitioners who own the models everyone leans on.

Stop defending the plan. Start marking the call.

For the planning lead who spends more time defending the forecast than deciding with it. Lyric turns the hunt for one  perfect plan into continuous deciding,

Lyric Studio replaces the single-plan mindset with a living decision mesh that guides choices across potential outcomes, synchronizes decisions across the planning funnel, and organizes actions across stakeholders and systems.

One connected model

How your journey will be different with Lyric Studio?

A chain of decisions, not a stack of point tools

Network, demand, supply, production and transportation run on one interoperable foundation, so upstream calls flow into every downstream decision, always the best global call across functions and horizons.

A composable system, not rigid workflows

Decision frameworks that flex with the business. Go live in weeks, model different strategies, adjust policies as things change, and evolve workflows as teams grow.

A range of futures, not a single plan

Sensitivities and simulation alongside living prediction engines weigh thousands of scenarios, replacing guesswork with proactive decision intelligence.

AI-native, not AI on top

Drawing from catalogs of the latest supply chain science, optimization, heuristics, simulation, machine learning, generative intelligence and agent-based techniques.

What changes for your planning team?

01

From data gatherers to decision architects

Automation and trained agents take over the gathering and grooming, giving planners clean end-to-end visibility and a job that's finally about deciding.

02

Work exceptions and strategy, not every SKU

Agents take the fast mechanical calls; planners focus on the consequential ones, shifting from checking every detail to exceptions, analysis and opportunities.

03

Start with feasible futures, not gut-feel fixes

Tailored supply chain science means plans that work from day one, no more patching algorithmic shortcomings in endless spreadsheets as disruptions emerge mid-cycle.

04

Decide in the moment with self-serve analysis

Leaders answer in-the-moment questions via self-serve analytics right in the meeting, no takeaway scenarios reported days after the decision was needed.

The value that results from thinking differently. Our customers dared to stray from the typical APS approach, and are seeing the value of doing so.

Demand forecasts worth millions

A national fresh-food brand with 1,400+ locations turned sharper demand forecasts into a projected $5M+ across its network.

Live in twelve weeks

An always-on promotion control tower hit first value in about a month, and now handles hundreds of promotion reviews a year that used to be done by hand for just a handful of top accounts.

The best part? You don't need to start from scratch. Our customers don't go on multi-year journeys to rip and replace massive systems already in place. With a truly composable platform, organizations can start exactly where it hurts most.

Start anywhere, go everywhere…Demand Planning, Supply Planning, Order Promise, Production Planning and Detailed Scheduling, Truckload Building, Operational Routing…pick your pain and let's change the way your decisions are being made.

Not another dashboard. Intelligence you can operate on.

For the data scientists and decision intelligence practitioners on your team, the supply chain engineers they become in Lyric Studio.

Anything you could model in another platform, you can build here, on real algorithms, not black boxes. What really changes is who owns it: your team builds and keeps the capability in-house, instead of renting engineers who build it once and leave.

Every decision on one governed model

Optimization

ML

Simulation

Agents

Guardrails

Explainability

How your journey will be different with Lyric Studio?

Real algorithms, not just agents and data

Optimization, ML and simulation model your physical supply chain, so the call holds up in the real world, not just on a dashboard.

Agentic, with you on the guardrails

Agents sense the exception, simulate the futures, and put the decision on the table with its trade-offs; you own the policy they work inside.

One connected Decision Mesh

Every decision runs on the same foundation, so a call in one place respects the plan and the network in another, strategy to operations.

Governed, and sharper every cycle

Decisions are explainable and logged, then learned from, so the model everyone leans on never quietly goes stale.

What changes for your data science team?

01

From dashboards to decisions

Your models drive the call and its execution, not just another report someone else has to act on.

02

Ship the call in minutes, even under disruption

When an input swings, agents surface the exception and the options while it still matters.

03

Build the decision logic once, reuse it everywhere

Compose models, agents and guardrails into decisions that run across the mesh, no rebuild.

04

You set policy; agents do the mechanical calls

Own the guardrails and the consequential decisions; let agents handle the routine ones.

Customers are already making the call, not just charting it.

More than fourteen million in identified annual savings

A digital freight brokerage now routes 200,000+ shipments in real time, replacing overnight batch planning with decisions made the moment conditions change.

AI agents that keep stockouts from happening

Across a large beverage bottler's 60+ distribution centers, they anticipate out-of-stock risk and flag it before it materializes, protecting revenue that would otherwise be lost.

The real shift isn't just faster decisions. It's that every model, agent, and team is deciding off the same source of truth. Lyric Studio runs on a unified semantic data layer, one governed definition of your supply chain that every decision is built on.
‍

One shared layer, one language. A decision made in one place holds up everywhere. No more reconciling conflicting numbers across disconnected tools.

Delivering measurable results

How BODYARMOR saved tens of millions using Lyric Studio

How Coca-Cola achieves dynamic order management

How Estée Lauder future-proofed its supply chain with Lyric Studio

How TreeHouse Foods democratizes network design using Lyric Studio

How Coca-Cola is orchestrating models using Lyric Studio

How Lyric is enabling faster and better decision-making for Krispy Kreme

How Coca-Cola Consolidated unlocked $5.9M in supply chain savings

Deliver Better Decisions Faster

Supply chains run on thousands of interconnected decisions. Demand shapes production. Inventory affects transportation. Every choice influences another. Every decision matters.

A New Era in Supply Chain

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