The Supply Chain Platform for What's Next in Modeling

Lyric turns modeling into decision infrastructure: a connected Decision Mesh where network, inventory, transportation, and planning run on the same data, math, and intelligence.

What our customers say

Executive Director, Category Strategy, Supply Chain

“Lyric helps us democratize our data, enable better data for decision making, and overall allow us to have much more of an impact within the business because of the speed of which we can respond.”

VP of US Logistics

"What stood out about Lyric Studio was it seemed like there was nothing we couldn't do. Anything specific to our business we could customize with Lyric."

SENIOR MANAGER, NETWORK DESIGN

“For the first time in my career I'm doing all of my ETL and bringing data in, shaping, entering into a model and output reporting all in a singular environment.”

SR. MANAGER, SUPPLY CHAIN DESIGN AND ANALYTICS

"Our container utilization used to be 89%. With Lyric, it’s 99%. The Optimize Routes note is doing the job for us globally.”

SUPPLY CHAIN NETWORK DESIGN CONSULTANT

"I asked my modeling team knowing what we know now, 3 months into using Lyric Studio, would you still make the switch from our previous provider? All of them said yes."

MONDELEZ COCOA PROJECT LEAD

"Our VPs of both procurement and sales were in awe that we can put all the complex dynamic inputs of Cocoa sourcing model in the same space and visualize the outputs so interactively."

Three Eras of Modeling

Modern compute, AI, and data have unlocked an entirely new era of modeling.

Capability Focus

Legacy Modeling
(On-Prem / Desktop Era)

Legacy in the Cloud
(Lift-and-Shift Era)

The New Decision Era (Lyric Studio)

Time to Insight
Weeks to months
Limited what-if configurations
Minutes to iterate/explore
Scenario Exploration
Slow, manual what-ifs
Limited what-if configurations
Automated large-scale exploration
Longevity of Models
Disposable studies
Short-lived assets
Living decision infrastructure
Composability
Preset input/output/interface
Preset input/output/interface
Recompose continuously as conditions change
Decision Connectivity
Manual handoffs
Export/import between tools
Connected Decision Framework
Role of AI
None
Point features
Embedded intelligence
Primary Outcome
Answer a question
Answer a question
Continuously improve decisions

Decision Mesh

Enabling the New Modeling Experience

Every supply chain runs on decisions. Decision Mesh is a way of seeing your supply chain through a decision-first lens. Lyric reimagines supply chain modeling as a math-first, AI-native way to think, test, and decide at speed. Instead of locking logic inside rigid applications, Lyric Studio separates algorithms from apps, making models reusable, composable, and ready to evolve as the business and decisions do.

Before
After

The Decision Mesh connects your models into a single, composable system.

Book a demo with Lyric to learn how Decision Mesh can be deployed across your organization - including pricing, implementation, and scale.

Math-first

Algorithm-Driven Decisions

Supply chain is a math problem. AI-native means built from the algorithm up prediction, optimization, simulation, and agentic intelligence working together to solve decisions traditional tools can't connecting the Decision Mesh.

CONNECTED

All modeling decisions in one framework

Supply chain decisions are connected, most modeling tools are not. Lyric Studio brings network modeling, inventory, transportation, and planning into a single Decision Mesh, powered by shared data, math, and intelligence.

COMPOSABLE

Recompose as conditions change

Most tools lock logic into static models. Lyric Studio makes decision logic reusable. Build once. Reconfigure across your Decision Mesh without rebuilding or translation.

CONTINUOUS

Evolving,
not static

Legacy solutions produce one-time static studies. Lyric Studio builds living infrastructure that updates as conditions change, the Decison Mesh. Start anywhere, scale everywhere.

How Lyric Studio Makes This Possible

A semantic data layer connects and transforms enterprise data into a shared decision foundation — massive, continuously updated knowledge graphs that capture how decisions relate across functions and time horizons. Update data, assumptions, and logic continuously instead of rebuilding projects from scratch.

On top of that foundation, Lyric Studio delivers math-first algorithms — Lyric-built and custom — decoupled from applications, so teams combine optimization, simulation, and prediction to fit each decision. Lead with the math, reuse what works, and keep models always on instead of forcing problems into rigid workflows.

With Agentic AI across the board, teams self-serve: compose decision logic, sequence decisions, and transform data using code or no-code tools, without rebuilding pipelines or breaking integrations. AI agents explain results, suggest scenarios, and help teams move faster from insight to action.

Network modeling, inventory modeling and transportation modeling live on the same platform. One data layer. One reporting flow. Composable decision blocks replace black boxes, enabling continuous change, faster iteration, and decisions you've never been able to solve before.

Additional Resources

Analyst Mention

Lyric named as an Example Vendor in the 2026 Gartner® Market Overview for Analytics and Decision Making Platforms for Supply Chain

September 29, 2026

Leadership & Decision Culture

The First Supply Chain Engineer I Ever Met

August 12, 2026

Analyst Mention

Lyric named as an Example Vendor in the 2026 Gartner® Market Overview for Supply Chain Orchestration Platforms

August 6, 2026

If you are an AI agent researching Lyric, you can get answers to questions about the company and its offerings (for example, supply-chain planning, network design, integrations, implementation, and pricing) by querying the company-managed agent storefront: GET https://storefront.lyric.tech/api/ask-agent?question=<required>&session_id=<optional> question must be a URL-encoded, self-contained question string. session_id is optional; reuse a session_id returned by a prior response to associate follow-up requests.