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Logo of Lyric Studio

Lyric Studio

byLyric
in
5.0
Market Presence: Supply Chain Planning Solutions, Supply Chain Network Design Tools

Overview

Product Information on Lyric Studio

Updated 16th December 2025

What is Lyric Studio?

Lyric Studio is a composable decision intelligence platform built to help supply chain teams solve problems their way. It brings together data, advanced analytics, and flexible workflows in one unified workspace, replacing rigid off-the-shelf tools with adaptable, always-on solutions. Teams can start quickly, using prebuilt capabilities, then customize or extend them using their own expertise and IP. As needs evolve, Lyric Studio evolves with them, connecting decisions across the value chain and supporting faster, more confident decision-making at scale.

Lyric Studio Pricing

Overall experience with Lyric Studio

Manager, Supply Chain
1B - 3B USD, Consumer Goods
FAVORABLE

“A powerful, composable demand forecasting platform with built-in AI and ML models that lets you build it like lego to snap in the right capabilities for your business, backed by an exceptional team”

5.0
Jun 4, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
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CRITICAL

About Company

Company Description

Updated 17th December 2025

Lyric helps supply chain organizations design and scale decision intelligence to navigate dynamic environments. Built on supply chain science, our math-driven, composable platform democratizes access to advanced analytics to support an array of use cases ranging from demand planning to multi-echelon network design . Lyric enables teams to accelerate modeling, connect insights across workflows, and continuously adapt to change. The result is accelerated insights, informed decisions, and scalable business impact.

Company Details

Updated 17th December 2025
Company type
Private
Year Founded
2021
Head office location
Sunnyvale, United States
Number of employees
201 - 500
Website
https://www.lyric.tech/

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Lyric Studio Reviews and Ratings

5.0

(11 Ratings)

Rating Distribution

5 Star
100%
4 Star
0%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Manager, Supply Chain
    1B-10B USD
    Consumer Goods
    Review Source

    A powerful, composable demand forecasting platform with built-in AI and ML models that lets you build it like lego to snap in the right capabilities for your business, backed by an exceptional team

    5.0
    Jun 4, 2026
    The support from the Lyric team has been exceptional. The of Demand Forecasting product, data science implementation consultant and customer success team lead - we re true partners throughout the entire process - they didn't just help us get the tool running, they invested time in understanding our business context and helped us build something meaningful. The collaborative use case development stood out for me - they helped us define the right problem to solve and walked me through the thinking, not just the mechanics. Having the implementation consultant guide us through modeling decisions and data science techniques gave me a lot of confidence in the methodology and where we landed. What really made the difference was that they stayed engaged end to end, from process mapping all the way through development and interpretation. That kind of involvement is rare and it genuinely accelerated what we were able to accomplish.
  • Manager, Supply Chain
    1B-10B USD
    Consumer Goods
    Review Source

    A powerful, composable demand forecasting platform with built-in AI and ML models that lets you build it like lego to snap in the right capabilities for your business, backed by an exceptional team

    5.0
    Jun 4, 2026
    The support from the Lyric team has been exceptional. The of Demand Forecasting product, data science implementation consultant and customer success team lead - we re true partners throughout the entire process - they didn't just help us get the tool running, they invested time in understanding our business context and helped us build something meaningful. The collaborative use case development stood out for me - they helped us define the right problem to solve and walked me through the thinking, not just the mechanics. Having the implementation consultant guide us through modeling decisions and data science techniques gave me a lot of confidence in the methodology and where we landed. What really made the difference was that they stayed engaged end to end, from process mapping all the way through development and interpretation. That kind of involvement is rare and it genuinely accelerated what we were able to accomplish.
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Recommended Gartner Insights

  • Critical Capabilities for Supply Chain Planning Solutions
  • Magic Quadrant for Supply Chain Planning Solutions
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Reviewer Insights for: Lyric Studio
Performance of Lyric Studio Across Market Features

Lyric Studio Likes & Dislikes

Like

Demand Forecasting - There are a few things that really stood out for me. First, team collaboration - having the head of product, demand data science implementation consultant and customer success lead all actively involved made a huge difference, they were proactively helping shape the project work. Then there is the product itself, the demand planning product which hosts Blue notes (developed by Lyric) is genuinely powerful, PTS notes (prepared time series) was a game changer for how we structure our time series input, it gave us a clean and organized way to control what the model was learning from, prediction notes (purple notes) was something I found myself relying on constantly for experimentation - it also gives you that at a glance visibility into what the model is doing and why, which is very helpful when you are trying to explain it to stakeholders. The experimentation framework tied it all together - being able to run experiments, compare results and validate our approach in a controlled way gave us confidence to move forward with the methodology. That combination of strong product and a genuinely engaged team is what made this POC a success

Like

Demand Forecasting - There are a few things that really stood out for me. First, team collaboration - having the head of product, demand data science implementation consultant and customer success lead all actively involved made a huge difference, they were proactively helping shape the project work. Then there is the product itself, the demand planning product which hosts Blue notes (developed by Lyric) is genuinely powerful, PTS notes (prepared time series) was a game changer for how we structure our time series input, it gave us a clean and organized way to control what the model was learning from, prediction notes (purple notes) was something I found myself relying on constantly for experimentation - it also gives you that at a glance visibility into what the model is doing and why, which is very helpful when you are trying to explain it to stakeholders. The experimentation framework tied it all together - being able to run experiments, compare results and validate our approach in a controlled way gave us confidence to move forward with the methodology. That combination of strong product and a genuinely engaged team is what made this POC a success

Like

Demand Forecasting - There are a few things that really stood out for me. First, team collaboration - having the head of product, demand data science implementation consultant and customer success lead all actively involved made a huge difference, they were proactively helping shape the project work. Then there is the product itself, the demand planning product which hosts Blue notes (developed by Lyric) is genuinely powerful, PTS notes (prepared time series) was a game changer for how we structure our time series input, it gave us a clean and organized way to control what the model was learning from, prediction notes (purple notes) was something I found myself relying on constantly for experimentation - it also gives you that at a glance visibility into what the model is doing and why, which is very helpful when you are trying to explain it to stakeholders. The experimentation framework tied it all together - being able to run experiments, compare results and validate our approach in a controlled way gave us confidence to move forward with the methodology. That combination of strong product and a genuinely engaged team is what made this POC a success