S&D Planning Engine

Forecast Accuracy

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Avg Stock Coverage

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Target 30–45 days

At-Risk SKUs

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Critical + Low

On-Time Delivery

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Open PO Value

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Active NPI SKUs

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Phase-In stage

Demand vs Supply Monthly

Demand

Supply

Inventory Health by Market Leading Indicator

Confidence: High · Current data

SKU Status Breakdown

PLC Mix Lifecycle

Top Alerts 0

Inventory Snapshot

SKU	Product	Market	PLC Stage	Stock	Days Cover	Stockout Prob	Status

Statistical Forecasting

For SKUs with steady demand history — Mature and Growth stage items

Moving Average

ℹBest for SKUs with stable demand and no strong trend or seasonality. Averages the last few periods — simple, low-risk baseline most planners check first.

Window (months)

Type

Forecast Chart 13 weeks

Exponential Smoothing

ℹWeights recent demand more heavily than older demand. Reacts faster to a real shift than a moving average — use when demand is gradually trending without seasonality.

Alpha (responsiveness)

Optimize alpha

Forecast Chart 13 weeks

Holt-Winters

⚠ Limited history for a full seasonal cycle — using a shortened seasonal period until more data builds up.

ℹTracks level, trend, and seasonality together. The right choice for SKUs with a repeating yearly pattern (holiday peaks, summer dips) layered on top of growth or decline.

Alpha (level)

Beta (trend)

Gamma (season)

Forecast Chart Trend + Seasonal

Model Comparison Auto-selects best fit

The tool runs all three models against this SKU's history and ranks them by MAPE (lower is better). In production planning systems, this is normally the only screen a planner sees — the underlying math stays in the background.

Model	MAPE (%)	MAE	RMSE	Next Month	Best For	Verdict

Forecast Overlay — All Models

Actual

Moving Average

Exp. Smoothing

Holt-Winters

NPI & Product Lifecycle

New product launches and phase-out items need a different forecasting approach than mature SKUs

Lifecycle Stage Mix

SKUs by Stage

Select a SKU

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Select a SKU on the left to see its lifecycle forecast

Hierarchy View

Company → Region → Market → SKU — drill down for detail, or roll up for the executive view

Top-down: start from total company demand and see how it splits across regions, markets, and SKUs.

Inventory Optimization

Economic Order Quantity (EOQ)

ℹFinds the order size that minimizes total cost — the trade-off between ordering too often (high order cost) and holding too much stock (high holding cost).

Annual Demand (D)

Order Cost (S) $

Holding Cost (H) $

Unit Cost (C) $

Lead Time (days)

Service Level %

Safety Stock & Reorder Point

ℹThe buffer stock needed to protect against demand and lead-time variability at your target service level. Reorder Point is when to trigger the next order.

Avg Daily Demand

Demand Std Dev

Avg Lead Time (days)

Lead Time Std Dev

Service Level %

Review Period (days)

Batch Optimization — All SKUs Auto-calculated

SKU	Product	Market	Weekly Demand	EOQ (units)	Safety Stock	Reorder Point	Stockout Prob %	CV	Status

Inventory Tracker

SKU	Product	Market	Stock	Days Cover	ROP	Weekly	EOQ	Safety Stock	CV	Stockout Prob	Status

Production Schedule

Supplier Scorecard

Supplier	Region	OTD %	Quality %	Lead time	Status

Open Purchase Orders

PO Number	Supplier	SKU	Product	Units	Order date	ETA	Status

Risk Monitor

Critical

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Moderate

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Monitoring

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Data Quality Flags

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Active Risks

Data Quality Flags Outlier check

Demand History rows flagged automatically where a single month deviates sharply from the SKU's own trend.