What is supply chain planning?

Supply chain planning involves forecasting demand, managing inventory, and coordinating supply and logistics to ensure products are delivered efficiently and cost-effectively.

How does Pigment support supply chain planning?

Pigment provides real-time data modeling and scenario planning capabilities to help teams align supply with demand, manage inventory, and respond quickly to changes.

Can Pigment help with demand forecasting?

Yes, Pigment supports demand forecasting by integrating historical data, sales inputs, and market trends to produce accurate and adaptable forecasts.

Does Pigment support collaboration between supply chain and finance teams?

Absolutely. Pigment fosters cross-functional collaboration by providing a shared platform for supply chain and finance teams to plan, simulate, and align on strategic decisions.

What are the benefits of using Pigment for inventory planning?

Pigment helps you optimize inventory levels by simulating various supply and demand scenarios, reducing overstocking and stockouts while improving working capital efficiency.

The AI-NATIVE platform for supply chain teams

Anticipate disruptions, automate forecasting, and balance capacity constraints in real time with an enterprise-grade AI platform built for agile operations.

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“We chose Pigment for its flexibility and capabilities allowing us to run multiple what-if scenarios in a changing retail environment.”

Marianne Vandeville - IDKIDS
Financial Controlling Director

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Why Pigment for Supply Chain Planning

Watch how Pigment’s native AI capabilities automatically surface supply chain risks and model complex what-if scenarios instantly.

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Forecasting agility

Build your supply chain resilience with scenarios that run as workflows to simulate disruptions and optimize decisions at the speed of change.

Aligned decision-making

Connect teams, data, and scenarios in one place so every function plans, reacts, and optimizes toward the same outcome.

Fast time to value

Empower your team to modify, expand, and adapt supply chain planning models independently to keep pace with changing realities.

Rethinking the Supply Chain operating model for the AI era

Build resilience in a volatile world

Unify market signals to build a high-fidelity demand forecast that integrates commercial inputs, macroeconomic indicators, and live sales data into a collaborative forecasting environment.

“The main KPI we wanted to improve was around forecast accuracy and we improved by 20% to 25%.”

Fabien Gibot

Fulfillment Analyst

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Evaluate trade-offs

Run "what-if" analysis without breaking your baseline as shifts occur overnight. Quickly assess operational changes like modifying shipping lines or switching production facilities, while seeing the precise impact on fully landed costs.

“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

Senior Director FP&A and Business Planning

Orchestrate dynamics

Synchronize commercial expectations with real-world logistical constraints. Use AI Agents to build an action plan across multiple dimensions to determine the most profitable distribution path in real-time.

“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,

Integrated Business Planning & Supply Chain

Move from units to margins

Remove operational silos to translate supply chain variables into direct corporate KPIs. Map lead times, shipping volumes, and warehouse capacities directly to COGS, and working capital requirements to protect overall margin performance.

“Planners can now compare projected load with available capacity for each factory, technology, and format, and directly adjust allocations. This resolves a long-standing disconnect between demand planning and supply constraints.”

Sophie Hun

Integrated Business Planning Director

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Supply chain planning use cases

AI in the flow of work that enables continuous planning

Pigment’s native AI capabilities for Supply Chain leaders

Agents

The Analyst Agent

Understand your risks and opportunities early

Analyze supply chain performance, turn operational questions into automated missions, and surface critical risks at scale.

Stay on top of supply chain changes

Generate reports from your planning data, schedule recurring analyses, and continuously monitor the metrics that matter most.

Move from analysis to action quickly

Automate recurring operational insights, and deliver scheduled reports with a simple chat interaction.

Agents

The Modeler Agent

Build supply chain models from intent

Go from planning idea to production-ready model in minutes with AI-guided model generation.

Structural adaptability

Instantly spin up or extend multi-dimensional models such as adding a new distribution center or restructuring your supplier network.

S&OP Meeting Prep

Build optimized board views for your audience and ensure cross functional meetings are decision-ready.

Pigment MCP

Connects your AI tools to your supply chain data in Pigment, allowing platforms like ChatGPT or Claude to instantly reason through complex models and automate operational deliverables.

Supply Chain data for everyone

Give cross functional teams instant access to governed supply chain data through the tools they use everyday.

From planning to execution

Turn live supply chain planning data into stakeholder updates, operational reports, and executive-ready deliverables.

Enrich supply chain planning

Use trusted Pigment data in business context from connected enterprise tools.

Frequently Asked Questions

How does Pigment improve supply chain forecast accuracy?

Pigment utilizes built-in machine learning and statistical algorithms to analyze historical trends, seasonal demand, and market variables. It allows planners to easily combine these automated baselines with collaborative commercial overlays and relevant external data.

How does Pigment support Sales & Operations Planning (S&OP / IBP)?

Pigment serves as a single, centralized platform where Sales, Supply Chain, and Finance can collaborate simultaneously. It streamlines data collection, automates validation, and provides interactive dashboards so everyone works from the same operational plan.

Can we run what-if scenarios for supply chain disruptions?

Absolutely. Planners can spin up independent, isolated sandboxes in seconds to simulate sudden events like tariff adjustments, logistics bottlenecks, or material cost spikes, mapping out the direct impact on both production volumes and P&L metrics.

How does Pigment integrate with our existing ERPs and data warehouses?

Pigment features native connectors to major ERP systems (SAP, Oracle, NetSuite) and data platforms (Snowflake, BigQuery). This enables automated data pipelines that pull bills of materials, transactional logs, and inventory data without manual file downloads.

Can Pigment handle complex capacity and production constraints?

Yes. Pigment’s multi-dimensional architecture allows you to model your entire supply network, including factory lines, labor limitations, and supplier lead times, helping you balance projected workloads against available capacity.

How long does a typical Pigment supply chain implementation take?

Unlike legacy supply chain suites that require year-long deployments, Pigment’s flexible and intuitive model builder typically delivers a fast time-to-value, going live in just 2 to 4 months.

Can Pigment calculate profitability down to the SKU level?

Yes. By mapping granular data—such as component costs, freight expenses, and localized pricing—Pigment enables real-time profitability analysis across specific product lines, regions, and individual SKUs.

Can Pigment integrate with ChatGPT, Claude, or other AI tools to leverage external intelligence in planning?

Yes. Organizations can leverage AI tools to surface emerging risks, market shifts, competitive moves, and regulatory changes from external sources, and bring those insights via MCP connectors into Pigment to assess business impact, run scenarios, and proactively adapt plans.