Demand Planningv1

Forecast Accuracy

Measures how closely demand forecasts match actual sales or consumption.

Owner: Unassigned
Updated: 10/30/2025
Calculation Formula
ENGLISH
100 - (ABS(Forecast - Actual) / Actual) * 100
Python Example
If forecast was 1,000 units and actual was 950, accuracy is 95%.
Entity Applicability
Which business entities use this KPI
Standard Calculation
8 of 8 entities
100%
Entity-Specific Notes

Higher accuracy enables better inventory planning and resource allocation.

Entity List (8)
MENA-01•Dubai Terminal
EU-02•Hamburg Terminal
HQ•Headquarters
ASIA-02•Hong Kong Terminal
EU-01•Rotterdam Terminal
ASIA-01•Singapore Hub
US-01•US East Terminal
US-02•US West Terminal
Additional Information
Industry
Retail & CPG, Heavy Manufacturing
Tags
Retail & CPGHeavy Manufacturing
Status
active
Local Network
Data Quality Dependencies
Critical DQ dimensions for this KPI
Accuracy
high

The degree of closeness of data values to real values.

Critical for Forecast Accuracy accuracy and reliability

Completeness (Data values)
high

The degree to which all required data values are present.

Critical for Forecast Accuracy accuracy and reliability

Timeliness
high

The degree to which the period between the time of creation of the real value and the time that the dataset is available is appropriate.

Critical for Forecast Accuracy accuracy and reliability

Quick Stats
DQ Dependencies3
Applicable Entities8/8
Versionv1
API Access
GET /api/kpis/forecast-accuracy