Lyric Studio: the AI-native platform for supply chain planning
Lyric Studio connects every supply chain planning decision, from strategic to operational and from demand to fulfillment, on one shared foundation of algorithms, context and agents.























What our customers say

Chief Technology and AI Officer
“Lyric Studio is composable, integrated, and fits every decision we want to make. What would have been a year-long demand and supply planning implementation moved at the speed of light.”

Supply Chain Lead
“We’ve moved to an adaptable, composable scenario planning model. Changing the forecast used to take business cases and steering committees. Now we change it ourselves in four hours and see the new result overnight.”

VP, Revenue Management
“It was a 14-week sprint from start to go-live. Instead of stitching together data from six different sources, we’re spending our time analyzing what worked and what didn’t, and putting those insights to action.”
The decision era of supply chain
Take the guesswork out of planning.
What changes | The algorithms era(MRP, DRP, early forecasting) | The era of integration | The era of limited flexibility (Legacy Planning) | The decision era (Lyric Studio) |
Focus | Bringing basic structure and discipline to planning | Trying to align demand and supply | A plan that’s out of date by the time it’s signed off | Plans to connected decisions you can actually act on |
Data | Siloed and inconsistent | Starting to unify, mostly internal | Stuck in disconnected tools and spreadsheets | One shared data and context layer |
Models | Simplified models that captured only part of the real world | Models that didn’t keep up as supply chains grew more complex | Rigid models that can’t adapt to constant change | Living models that refresh as signals arrive |
Scenarios | Not yet | Limited what-if | Each one takes half a day to set up | Many futures explored and stress-tested at once |
Planning cadence | Slow batch cycles | Batch cycles under strain | One plan, updated weekly or monthly | Always on |
Agents | None | None | None | Agents that know your business context and act within your gates |
Connect every planning decision on one composable platform
Start with the decision that hurts most, then add the next one without starting over.
Always-on demand plans you can explain

Zero-touch forecasts from AI agents, with every number traced to what drove it.
- Demand forecasting and sensing
- Automated history correction
- New products, lifecycle and promotions
- Consensus planning
Supply plans you can execute

Optimized plans that respect real operational constraints, like campaigns, lot sizes and shelf life.
- Constrained supply and capacity planning
- Production planning and detailed scheduling
- Inventory optimization, replenishment and deployment
- Order promising and truckload building
Business plans every team stands behind

Commercial, Supply Chain and Finance teams aligned on what needs to change, with the plan stress-tested against many scenarios.
- Scenario planning
- Financial integration
- Long-range and annual planning
- Demand, supply and executive reviews
Constant, from signal to execution

Agents fix what falls within the gates your planners set and bring the rest for approval.
- Exception management, with agent gates and approvals
- Stockout prediction and root cause analysis
- Order allocation and fulfillment orchestration
- Predictive ETA
Decision Mesh
Where every decision works together.
Every supply chain already has a decision mesh: a web of thousands of decisions made across every function and horizon. The question is whether yours is connected, living and intelligent. Lyric Studio makes it all three. All your decisions share the same foundation of data, models and context, so a change in one ripples through the rest immediately.
How Lyric Studio makes this possible
Every system feeds one supply chain data model, with no separate integration project, and the model updates as your business changes. Algorithms and agents both work from it. It also keeps the context behind every decision, what was decided, when and why, so each cycle starts from what the last one learned.
Forecasting, optimization, simulation and heuristics come ready to use, and you can add your own. Each decision gets the math that fits it.
Algorithms, rules and approvals run each decision end to end, and the output of one feeds the next. When the business changes, like planning by product group instead of by item, or moving from pull to push, you change the step, not the system.
Executives, planners and operators each work in an application built for their role, with the detail they need.
Agents work across every layer, from preparing data to carrying a decision through to execution. Every action is logged.




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