Demand Planning Artificial Intelligence Software

Demand planning AI software your CFO will actually trust

Perimattic Demand OS is demand planning artificial intelligence software that forecasts demand, optimizes inventory, and explains every number it gives you. Live in weeks, not years, with pricing you can see before you talk to sales.

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DEMAND FORECAST · AI-POWEREDLIVE

HistoricalAI forecastConfidence band

✓ Model selected

Gradient Boosting

MAPE 4.2% · best fit

↑ Accuracy gain

+20pp improvement

vs. stat baseline

$ Inventory released

$1.0M – $2.0M est.

working capital freed

4–8 weeks

Scoped pilot live on your own SKUs, not 6–24 months

Defined SKU/location scope, results before rollout

$1.73T

Lost annually to stockouts & overstock industry-wide

Source: IHL Group, 2025

20–50%

Forecast error reduction with AI-driven forecasting vs. traditional methods

Source: McKinsey & Company

What is Perimattic Demand OS?

Perimattic Demand OS is an AI-powered demand planning and forecasting platform that forecasts demand at the SKU level, optimizes inventory across every node, and explains every number it produces. It replaces spreadsheets and legacy planning suites with ensemble machine-learning models that retrain automatically as new data arrives. The platform goes live in weeks — not the 6–24 months typical of enterprise planning tools — and includes demand sensing, scenario planning, explainable AI, and a natural-language copilot out of the box.

The Problem

Your planners are still fighting spreadsheets

Manual forecasting hasn't fundamentally changed in 30 years. The cost of getting it wrong keeps rising.

Manual Excel-based planning

Version chaos, no audit trail, and endless "final_v3_FINAL.xlsx" files shared over email. One overwritten cell breaks the entire plan.

Stockouts & overstock

The $1.73T global inventory-distortion problem. Customers leave when you stock out. Capital ties up in the wrong SKUs when you over-order.

Siloed planning

Sales, Finance, and Ops each working off different numbers. The consensus meeting reconciles data instead of making decisions.

No early warning

No visibility into promotions, weather events, or competitor moves until it's too late. Reactive planning costs more than proactive planning every time.

Platform

How our AI demand planning software works

A five-stage artificial intelligence architecture that turns raw signals from your existing stack into executable demand plans, with full human oversight at every step.

Data Sources

ERP · POS · WMS · SIGNALS

Connects to SAP, Oracle, Dynamics 365, NetSuite, Salesforce, Snowflake, and flat-file/SFTP feeds.

AI/ML Forecast Engine

ENSEMBLE STAT + ML

Selects the best-fit model per SKU and explains which it chose and why.

Optimization Layer

INVENTORY · SAFETY STOCK

Translates forecast uncertainty into inventory targets and prioritized replenishment.

Planner Workbench

OVERRIDES · COPILOT

Where planners review, adjust, and collaborate. The AI Copilot explains anomalies on demand.

Execution & Write-back

ERP WRITE-BACK · PO GEN

Approved plans push back to your ERP as POs, with a full audit trail for every change.

Features

Demand planning AI features teams actually use

Sixteen capabilities across four disciplines: from AI demand forecasting to governance and trust.

Forecasting & SensingDeep dive →

ML Forecasting

Ensemble of statistical and ML models, auto-selected per SKU based on data patterns and horizon.

Demand Sensing

Short-horizon signal detection using POS, order, and external data to sharpen the near-term forecast.

New Product Forecasting

Cold-start forecasting for items with zero history, using analogous product matching and Bayesian priors.

ABC-XYZ Segmentation

Automatic segmentation by value and variability, so model selection and review cadence match the SKU.

Planning & CollaborationDeep dive →

Scenario Planning

Model optimistic, pessimistic, and most-likely scenarios side-by-side before committing to a plan.

What-If Analysis

Adjust any driver and see the downstream inventory and supply impact instantly.

Consensus Forecasting

Sales, Finance, and Ops submit inputs into one structured workflow. One number, full traceability.

Promotion Planning

Model promotional uplift, cannibalization, and halo effects on data, not gut feel.

Inventory & SupplyDeep dive →

Inventory Optimization

Service-level–driven safety stock that balances working capital against stockout risk.

Supply Planning

Converts demand plans into constrained supply requirements: lead times, MOQs, supplier capacity.

Automated Replenishment

Rules-based and ML-driven triggers that reduce manual PO creation at agreed service levels.

Demand Shaping

Recommends pricing, promotion, or channel actions to shift demand toward available supply.

Governance & TrustDeep dive →

Explainable AI

Every forecast includes a ranked list of contributing factors in plain language, not just a number.

Accuracy Dashboard

Track MAPE, WMAPE, bias, and Forecast Value Add at every level with root-cause drill-down.

Bias Detection

Surfaces systematic over- or under-forecasting by planner, product group, or channel.

Audit Logs & Versioning

Every override and approval logged with timestamp and reason. Full version history.

How the AI Works

Artificial intelligence you can actually explain

The "black box" criticism of AI demand planning is valid, and Demand OS is built to answer it directly.

Ensemble, not a single model

For every SKU and horizon, Demand OS evaluates statistical and ML models against held-out data and selects the best performer, logging the reason.

SKU-4021 · MODEL SELECTED THIS CYCLE

Gradient Boosting ML4.2% ✓

Neural Network ML5.0%

ARIMA STAT6.1%

Holt-Winters STAT7.8%

Every forecast shows its work

A ranked feature-attribution breakdown ships with every number. Override confidence comes from understanding, not guessing.

SKU-4021 · FORECAST DRIVERS THIS WEEK

Summer seasonality72%

Promo uplift (July 4)48%

Recent sales trend31%

Weather signal18%

Competitor stockout11%

Forecast value add vs. stat baseline: +8.3%

Ask it anything, in plain language

The built-in GenAI Copilot answers directly in the workbench, grounded in the forecast model, override history, and supply data.

"Why did the forecast for SKU-4021 increase 28% this week?"

The uplift is primarily driven by the active July promotional event (+48%) and a strengthening summer seasonality signal (+72%). The model last changed on Tuesday when the promotion was confirmed in Salesforce.

"Which SKUs are most at risk of stockout next week?"

3 SKUs are below safety stock threshold: SKU-1182, SKU-2047, SKU-3391. Replenishment orders are pending approval in your queue.

Integrations

Plays well with the stack you already have

Native connectors for the ERPs that run mid-market and enterprise supply chains, plus REST API and SFTP for everything else.

SAPNATIVE

OracleNATIVE

Dynamics 365NATIVE

NetSuiteNATIVE

Salesforce

Snowflake

Shopify

WooCommerce

Databricks

BigQuery

AWS

Azure

Power BI

Tableau

Looker

QuickBooks

Odoo

Zapier

Slack

Teams

CSV / SFTP supported for legacy systems. Ask about a custom connector →

Industries

Built for how your industry plans

Pre-configured templates for five verticals, because retail demand patterns are nothing like spare-parts forecasting.

Retail

Promotional uplift, seasonal spikes, store-level replenishment

Learn more →

Manufacturing

Long-tail spare-parts forecasting, production scheduling, MRP integration

Learn more →

CPG

Trade promotion management, category management, retailer collaboration

Learn more →

Distribution & Wholesale

Multi-echelon inventory, customer demand volatility, lead-time variance

Learn more →

Ecommerce

Daily demand signals, rapid SKU proliferation, returns-adjusted forecasting

Learn more →

How We Compare

See the difference for yourself

Five dimensions that separate modern demand planning from legacy enterprise software.

Typical Enterprise Software

Perimattic Demand OS

Pricing transparency

Contact sales, NDA often required

✓ Published bands before any call

Implementation time

6–24 months typical

✓ Pilot live in weeks

AI explainability

Black-box outputs, no factor attribution

✓ Per-SKU factor attribution by default

UI / UX

Built for consultants; planners adapt

✓ Built for planners; usability-tested

Reporting focus

MAPE / accuracy metrics

✓ Inventory dollars & stockouts avoided

See how we compare to Blue Yonder, o9, ToolsGroup & SAP IBP: full comparison →

See how Demand OS compares in our guide to the 5 best AI-powered demand forecasting tools.

Estimate Your Impact

See what Demand OS could save you

Enter three numbers. Get a conservative estimate based on published research, every multiplier cited, every assumption labeled.

Annual inventory value ($)Current forecast accuracy (%)Number of SKUs

CONSERVATIVE ESTIMATE · ANNUAL

Working capital released

$1.5M – $3.8M

6–15% of inventory value · IHL / McKinsey benchmarks

Stockout losses avoided

$500K – $1.3M

2–5% of inventory value at current accuracy

Forecast accuracy headroom

+20pp

vs. 85%+ typical with AI ensemble forecasting

Get the full estimate

How You Go Live

A pilot live in 4–8 weeks, not 6–24 months

Every engagement follows the same four phases, scoped to a defined set of SKUs and locations first, so you see results before committing to a full rollout.

Weeks 1–2

Discovery & Data Connect

Connect ERP, POS, and WMS feeds; agree the pilot SKU/location scope and success metrics.

Weeks 3–5

Model Calibration

The forecast ensemble is trained and validated against your historical data before anything goes live.

Weeks 6–7

Onboarding & Parallel Run

Planners work in the workbench alongside their existing process. Overrides tracked side by side.

Week 8

Go-Live & Rollout Plan

The pilot goes live for production use, with a scoped plan for expanding coverage.

Security & Compliance

Enterprise trust, built in

Security and compliance are not add-ons. They ship with every tier of Demand OS.

SOC 2 Type II

Independent third-party audit of security controls, availability, and confidentiality.

ISO 27001 Certified

International standard for information security management, independently certified.

GDPR-ready

DPAs, data residency options, and configurable retention policies for EU compliance.

Role-Based Access

Granular permissions per user, team, product group, and location.

Full audit logging

Every login, change, and approval logged, immutable and exportable.

Encryption everywhere

AES-256 at rest, TLS 1.2+ in transit, HSM-managed keys, annual pen testing.

Frequently Asked Questions

Demand planning, answered

What is demand planning artificial intelligence software?+

Software that uses AI and machine learning to predict customer demand, optimize inventory, and turn predictions into executable plans. Perimattic Demand OS explains every forecast in plain language, not a black box.

How is AI demand planning different from traditional forecasting?+

Traditional forecasting relies on a single statistical model and manual spreadsheet adjustment. AI demand planning software runs an ensemble of models per SKU, ingests external signals like promotions and weather, and cuts forecast error by 20–50% (McKinsey).

How much does it cost?+

We publish starting price bands rather than requiring a sales call just to see a number. Enterprise deployments with custom integration scope are quoted after a short discovery call.

How long does implementation take?+

A scoped pilot can go live in 4–8 weeks, not the 6–24 months typical of legacy enterprise planning suites. We deploy in phases, starting with a defined SKU/location scope.

Does it integrate with our ERP?+

Yes. Native connectors for SAP, Oracle, Dynamics 365, and NetSuite, plus Salesforce, Snowflake, Power BI, Tableau, Slack, and Teams via REST API, and CSV/SFTP for legacy systems.

Can planners override the AI?+

Yes. Every forecast is editable, every override is logged with a reason and timestamp, and the system tracks override accuracy over time (Forecast Value Add).

Get Started

Ready to plan with AI you can trust?

Talk to a demand planning specialist, see the artificial intelligence software live on your own data, and get a pricing proposal, all in one conversation.

Book a Demo