Demand planning &
forecasting, without spreadsheets.
Trusted by market leaders
See it in action
Explore the powerful features that make DemandPlan IO the most intuitive demand planning solution.
Manage multiple forecast versions with ease. Roll forecasts forward, compare scenarios, and track changes across time periods.
| Region | Current (V7) | Previous | Delta |
|---|---|---|---|
| North America | 1,245 | 1,198 | +3.9% |
| Europe | 892 | 901 | -1.0% |
| Asia Pacific | 2,103 | 2,050 | +2.6% |
| Latin America | 456 | 418 | +9.1% |
Designed for
modern operations.
A comprehensive suite of tools built to replace disparate spreadsheets with a single source of truth.
Advanced Forecasting Engine
Our proprietary ML algorithms process historical sales, seasonality, and market trends to predict future demand with 98% accuracy.
Real-time Sync
Collaborate instantly. Updates reflect across your organization in milliseconds.
Enterprise Security
Secure, role-based access control and audit logs built-in.
Team Collaboration
Comment directly on forecasts, assign tasks, and track approvals without leaving the platform.
What is demand planning vs demand forecasting?
While often used interchangeably, demand forecasting and demand planning serve different functions in the supply chain.
Demand forecasting is the prediction of future demand based on historical data, statistical models, and machine learning. It asks "what will likely happen?"
Demand planning is the broader process that takes that forecast and operationalizes it. It involves aligning inventory, sales strategies, and supply chain capabilities to meet that predicted demand. It asks "how do we execute on this prediction?"
DemandPlan.io unifies both in a single source of truth, replacing disconnected spreadsheets.
How DemandPlan streamlines the forecasting process
Ingest Data
Connect Sales, ERP, and Channel data automatically.
Generate Baseline
Create statistical baselines instantly for thousands of SKUs.
Layer Intelligence
Apply ML forecasts & planner judgment where it matters.
Align & Execute
Review consensus (SIOP) and track accuracy over time.
Forecasting models: statistical and machine learning
Effective demand planning requires the right tool for the job. DemandPlan supports a hybrid approach:
- Statistical forecasting: Best for stable, high-volume products. Uses time-series methods (Holt-Winters, ARIMA) to identify trends and seasonality.
- Machine learning forecasting: Adapts to complex patterns and non-linear drivers. Ideal for new products or volatile markets where history doesn't repeat perfectly.
AdaptiveHierarchy™ forecasting and custom demand dimensions
Pivot your view instantly. Plan at any level.
Traditional planning tools lock you into a rigid hierarchy (e.g., Region > Customer > SKU). DemandPlan's AdaptiveHierarchy™ allows you to slice and dice forecasts dynamically across any demand dimension.
How it works: When you adjust a higher-level forecast (e.g., increasing "North America" by 10%), the system automatically allocates changes down to individual SKUs and plants based on historical ratios (pro-rata disaggregation). This keeps your top-down financial goals aligned with bottom-up operational reality.
Sales planning + S&OP Consensus
DemandPlan serves as the collaborative hub for your Sales and Operations Planning (S&OP) process. Manage multiple inputs in one view:
- Sales field input & overrides
- Finance budget targets
- Marketing promotion overlays
Reach consensus faster with version comparisons, approvals, and a complete audit trail of who changed what and when.
Forecast Accuracy Tracking
Stop guessing which models work. Automatically track forecast accuracy (MAPE/WAPE) over time by SKU, customer, or channel. Visualize where you are over-forecasting or under-forecasting to continuously refine your models.
Security & Data Controls
Enterprise-grade security is built-in. Features include Role-Based Access Control (RBAC), audit logs for every cell change, and encrypted data transmission (TLS 1.3).
Frequently Asked Questions
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Join high-growth teams using demandplan.io to master their demand forecasting.