Demand & Sales Performance Service level, fill rate and forecast accuracy
Live—
Time intelligence: Year to date vs prior year
Customer Service

Service & Fulfilment

On-Time In-FullOTIF

Target 95%
—OTIF
On-time —
In-full —
Damage-free —

Case Fill RateCustomer Service

Cases shipped / ordered
— %
—

Forecast AccuracyDemand Planning

1 − MAPE, category-weighted
— %
—

Smart NarrativeAI generated

—

Case salesSales

Confirmed dispatch, period
— cases
—
Promo uplift —

Demand vs forecast — trendTime intelligence

Actual dispatch, forecast and prior year (cases)

Sales variance vs forecastZebra BI

Actual − forecast, by category
Above forecastBelow forecast
Commercial

Trade & Promotions

Promotion uplift by categorySales & Marketing

Promoted vs baseline volume

Sell-throughSales & Marketing

Promoted stock sold
— %
—
Trade spend ratio —
Figures are illustrative synthetic data. OTIF = On-time × In-full × Damage-free.
Plant Floor

Packaging Line OEE

Line OEEOEE

World-class benchmark 85%
—OEE
Availability —
Performance —
Quality —

ThroughputProduction

Cases / hour, packed
— cph
—

Wastage & giveawayProduction

Material loss + overfill
— %
—

Predictive AlertsAI forecast

Line-risk and threshold breaches, next 7 days

Changeover & downtimeTime intelligence

Changeover vs breakdown hours, with prior year

Smart NarrativeAI generated

—

Wastage variance vs targetZebra BI

Actual − target wastage %, by line (lower is better)
Below targetOver target
Reliability

Line Maintenance

MTBFMaintenance

Mean time between failures
— hrs
—

MTTRMaintenance

Mean time to repair
— hrs
—

Avg changeoverMaintenance

SKU change, SMED
— min
—

OEE loss waterfall — by causeOEE

Where the run rate is lost (percentage points)
Predictive alerts are model-simulated on illustrative data. In production these run on Azure ML scored into Power BI.
Stock

Inventory & Shelf-life

Stock coverInventory

Days of demand on hand
— days
—

DIOInventory

Days inventory outstanding
— days
—

Shelf-life at riskInventory

SKUs < 30 days to expiry
— SKUs
—

Wastage costInventory

Write-off, period
USD —k
—

Complaints ParetoQuality

Consumer complaints by cause, cumulative %

Smart NarrativeAI generated

—

Conformance

Quality & Compliance

First Pass YieldQuality

Right first time
— %
—

ComplaintsQuality

Per million units
— PPM
—

Audit readinessCompliance

BRCGS / ISO 22000 checklist
— %
—
Finance

Margin & Trade Spend (FP&A)

P&L — Actual vs BudgetZebra BI

USD '000, period to date
FavourableAdverse

Cost per case — trendTime intelligence

USD / case, actual vs prior year
Liquidity

Cashflow, Income & Balance Sheet

Operating cashflowCashflow

Net cash from operations
USD —k
—

Gross marginIncome

After COGS & trade spend
— %
—

Working capitalBalance sheet

Current assets − liabilities
USD —k
—

Cash bridge — opening to closingCashflow

Operating, investing and financing movements (USD '000)
Financials are illustrative. Wastage and giveaway feed write-off cost and gross margin — the model keeps these tied.