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Demand Planning

Turn historical demand into a structured, explainable forecast—and make performance, assumptions and business adjustments visible in one practical planning workflow.

Build a better demand baseline. Understand what is changing.

Demand Planning is designed for organizations that need more structure than a basic spreadsheet forecast, without the complexity or cost of a large enterprise planning platform.

It combines statistical forecasting, historical analysis and business judgment so the forecast is not treated as a black box. The objective is simple: create a plan that can be understood, challenged, measured and improved over time.

Statistical ForecastActual vs ForecastForecast AccuracyBiasMAPECommercial AdjustmentSKU & Family Views
TYPICAL USE CASES

Where the tool fits into the monthly planning process.

Monthly Demand Review

Review historical performance, new forecast and key assumptions before the formal demand meeting.

Forecast Performance Follow-up

Identify where Accuracy or Bias has deteriorated and focus discussion on root causes.

SKU / Family Exception Review

Find products that require attention instead of spending equal time across the full portfolio.

Commercial Adjustment Review

Document when and why the business view should differ from the statistical baseline.

WHO IT IS FOR

Designed for practical planning environments.

A strong fit when…

You need more structure, governance and visibility than a basic forecast spreadsheet provides, but do not need—or are not ready for—the cost and complexity of a large enterprise planning suite.

Works best with…

Reliable historical demand, disciplined monthly review and business users willing to challenge assumptions rather than treat the forecast as an automatic answer.

WHY IT MATTERS

A forecast should support decisions, not simply produce a number.

The value of Demand Planning is not the forecast file itself. It is the ability to understand the demand signal, challenge assumptions and improve the decisions that follow.

Reduce noise

Separate recurring demand patterns from unusual events, data issues and one-time activity.

Improve visibility

See performance at the level where decisions are made—from overall plan to family and SKU.

Make adjustments explicit

Keep commercial knowledge visible instead of silently overwriting the statistical baseline.

Measure performance

Use Forecast Accuracy, Bias and MAPE to understand both magnitude and direction of forecast error.

Focus the review

Spend planning time on exceptions and meaningful gaps instead of reviewing every item the same way.

Support collaboration

Create a common baseline for Sales, Finance, Supply and other stakeholders to discuss one plan.

KEY CAPABILITIES

What is included in the planning workflow.

Historical AnalysisReview demand history, trends, seasonality and structural changes.
Statistical BaselineCreate an objective forecast using historical demand behavior.
Actual vs ForecastCompare planned and realized demand by period.
Forecast AccuracyMeasure how close the plan was to actual demand.
BiasIdentify persistent over-forecasting or under-forecasting.
MAPETrack forecast error magnitude over time.
Business AdjustmentLayer commercial or market knowledge over the statistical baseline.
SKU & Family ViewsMove from high-level performance into more actionable product detail.
HOW THE KIT WORKS

Analyze → Diagnose → Select Method → Forecast → Adjust → Measure.

The toolkit is built as a planning workflow, not just a forecast output. It starts by understanding the data, selects an appropriate forecasting approach, creates a statistical baseline, captures business judgment explicitly and then measures performance against prior forecast runs.

01Analyze

Review demand history, data quality, outliers and recent behavior.

02Diagnose

Identify forecastability, demand type and areas that need intervention.

03Select Method

Use diagnostics and model performance to choose the most appropriate method by SKU.

04Forecast

Create the statistical baseline for the forward planning horizon.

05Adjust

Document commercial adjustments with owner, reason and impact.

06Measure

Review Forecast Accuracy, Bias, MAPE and changes versus previous runs.

PRODUCT PROOF

From raw demand to one explainable forecast.

These views come directly from the toolkit workflow. They show how the process diagnoses the portfolio, chooses a method, creates the statistical baseline, captures business input and publishes the final plan.

01 · ANALYZE

Methodology and diagnostic logic

The kit begins with a transparent seven-step process and clearly defined metrics. The planner can see what is being tested and why.

MGV76 Demand Planning methodology snapshot showing the seven steps and metric definitions
02 · DIAGNOSE

Turn the analysis into findings

Portfolio diagnostics summarize which SKUs are ready to forecast, which need caution and where the data requires review.

Portfolio summary from Module A showing data diagnostic findings
03 · SELECT METHOD

Do not force one model on every SKU

Demand type, backtest performance, FVA and forecastability are evaluated before the recommended model is carried into the forecast engine.

Method selection snapshot showing demand type, backtest method and recommended model by SKU
04 · FORECAST

Build the statistical baseline

Module B converts the selected model into a forward forecast by SKU and month. This is the objective starting point—not the final answer.

Statistical forecast baseline by SKU and month
05 · ADJUST

Make business judgment visible

Commercial adjustments are documented with period, adjustment type, owner and reason so the change is explicit and defensible.

Commercial adjustment table showing promotion assumptions, owner, reason and adjustment
06 · PUBLISH & MEASURE

One final plan, ready for review

The final forecast combines the statistical baseline with approved business input and becomes the plan that can be reviewed in the dashboard.

Final forecast table by SKU and month after commercial adjustments
INTERACTIVE DEMOS

Try both sides of the workflow before you buy.

Explore how MGV76 builds a simplified statistical baseline and how the plan is then reviewed in the dashboard.

Forecast Engine Demo

Edit sample demand, compare four forecasting methods, see the selected baseline and apply a simple business adjustment. Nothing is uploaded or saved.

Launch Forecast Engine Demo

Dashboard Demo

Explore Plan and Performance views using sample data. The public dashboard demo is read-only: upload, export, saving versions and printing are disabled.

Launch Dashboard Demo
VERSIONS & PRICING

Choose only what your team needs.

You can purchase the forecasting engine by itself, the dashboard by itself, or the complete package. The Full version is the most complete planning and review experience.

Before choosing a version: Product capabilities and examples shown illustrate the planning workflow. Actual outcomes depend on data quality, process maturity and execution discipline. The products offered here are standardized digital software tools delivered electronically; purchases through this website cover digital products only.
FORECAST ONLY

Basic — Forecast Kit

USD 39.99

For teams that want the forecasting methodology, engine and outputs without the dashboard layer.

  • Module A — Data & Diagnostics
  • Module B — Forecast Engine
  • PDF Guide
  • README
DASHBOARD ONLY

Interactive Dashboard

USD 24.99

Standalone HTML dashboard for users who only want the visualization and review layer.

  • Interactive HTML Dashboard
  • Plan and Performance views
  • Family / SKU filters
  • Units / Value and EN / ES

Delivered as a standardized digital software product. The purchase includes only the files and functionality described on this page; no human-delivered professional services are included.

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Still deciding? Review the Frequently Asked Questions for product, data, licensing, delivery and support details.

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