USE CASE
Pigment for Supply Planning
Pigment models your plants, lines, calendars, and bills of material as they actually run. Planners see a capacity gap and the production plan connects straight through to inventory, cost, and margin.
Trusted by
"What I see with Pigment is that the flexibility really allows you to model whatever you need to serve you best."
Adeeb Ali
“We chose Pigment for its flexibility and capabilities allowing us to run multiple what-if scenarios in a post Covid and changing retail environment."
Marianne Vandeville
"I used to block two weeks every summer just to build the strategic plan. Now, if everyone sends their inputs on time, I can do it in a day."
Sophie Hun
“The main KPI we wanted to improve was around forecast accuracy and we improved by 20% to 25%.”
Fabien Gibot
"Tariffs are the single biggest area of focus for Evenflo [...], we're constantly modeling scenarios to determine how much cost we can absorb. In a fast-changing environment like this, having a tool that lets us rapidly model the P&L impact and pivot our strategy is absolutely essential."
Kate Dolph
Why choose Pigment for Supply Planning
Rerun capacity, production, and inventory as fast as demand moves, and price the tradeoff before you commit.
Planning agility
Adapt capacity, production, and inventory as fast as demand moves.
One connected supply plan
A shortage traces straight through to the customer orders it puts at risk.
An ever-evolving model
Extend the model yourselves as the network changes.
How it works
From production plan to the customer order at risk
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01
Production plan
Convert finished-goods demand by region into load by plant, line, and warehouse, then test it against machine and labor capacity together. When a location runs over, reallocate demand to another location, region, or warehouse and see the new load immediately.
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02
Inventory plan & allocation
Track material coverage against the production plan. When a material is short, trace the impact through production to the specific customer orders at risk, then use inventory allocation to decide which customers are shorted.
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03
Scenario comparison
Run the spike 20% larger and watch the recommended prebuild adjust, then compare scenarios side by side. Price overtime against a contract manufacturer and see which products are worth moving out.
AI
An AI ecosystem built into every planning solution
MCP Server
Bring your own agent via MCP
Use your enterprise AI tools such as Claude, ChatGPT, Microsoft Copilot directly with Pigment, instead of being locked into a single interface.
Agent connectors
Connect agents to get the full business context
Draw on context from systems like Notion, Google Drive, and Slack, so recommendations are grounded in what's actually happening across the business.
Modeler Agent
Build and adapt your application
From natural language prompts, the Modeler Agent extends plants, lines, and bills of material as the network changes such as a new production line or manufacturer.
Analyst Agent
Monitor, explain, and automate
The Analyst Agent explains what changed in demand to move the production plan, and recommends whether the fix is capacity, labor, or else.
Planner Agent
Explore every possibility
The Planner Agent builds the what-if scenario and the inputs behind it, then recommends the option for the planner to review and approve.
Customer spotlight
How a fashion retailer transformed supply chain and demand planning with Pigment
5 days → 1 hour
Analysis on capacity and inventory
3 months
Time to launch supply chain use case
“Our business teams are really impressed by the impact Pigment's had. The IT team told us that to do 10% of what we do on Pigment would take at least 3 years with another tool… and it only took us 6 months!”
Director,
Key features
Pigment natively supports your core supply planning needs
Inventory targets and dynamic safety stock planning
Distribution requirements and inter-location transfer planning
Rule-based customer allocations
Material shortage and customer-order risk visibility
Supply scenario modeling
Rough-cut capacity planning across plants and lines
Material requirements planning and BOM explosion
“Many vendors claim flexibility and agility, but once implemented, you realize you can’t really change how the data is handled or visualized. We didn’t want another rigid solution. We wanted something that could be built for Danone, not just adapted to Danone.”
Sophie Hun
Discover more supply chain use cases
See Pigment in action
The fastest way to understand Pigment is to see it in action. Sign up today and explore how agentic AI can transform the way you plan.
From 8 days to 4 min
Update P&L actuals & financial forecasting
80%
Time cut on data aggregation
12 hours
Saved per month on executive reporting
6 days faster
For scenarios creation and analysis