II.
LibraryProcess overview
Reference · livelib-process:logistics--demand-forecasting
demand-forecasting overview
AI-powered demand prediction using historical data, market signals, and external factors to improve forecast accuracy and inventory planning.
Attributes
displayName
demand-forecasting
description
AI-powered demand prediction using historical data, market signals, and external factors to improve forecast accuracy and inventory planning.
libraryPath
library/specializations/domains/business/logistics/demand-forecasting.js
specialization
logistics
references
- - MIT Supply Chain: https://www.edx.org/micromasters/mitx-supply-chain-management - Forecasting Best Practices: https://www.ascm.org/
example
const result = await orchestrate('specializations/domains/business/logistics/demand-forecasting', {
salesHistory: [{ sku: 'SKU001', date: '2024-01-01', quantity: 100 }],
products: [{ sku: 'SKU001', category: 'Electronics' }],
forecastHorizon: 12
});
usesAgents
- forecast-data-specialist
- demand-pattern-analyst
- seasonality-analyst
- external-factors-specialist
- forecast-model-trainer
- forecast-generator
- confidence-interval-specialist
- accuracy-assessment-specialist
- bias-correction-specialist
- forecast-report-specialist
Outgoing edges
lib_applies_to_domain1
- domain:logistics·DomainLogistics
lib_belongs_to_specialization1
- specialization:logistics·SpecializationLogistics
lib_implements_workflow1
- workflow:strategic-planning·WorkflowStrategic Planning
lib_involves_role2
- role:supply-chain-analyst·RoleSupply Chain Analyst
- role:operations-analyst·RoleOperations Analyst
lib_requires_skill_area2
- skill-area:procurement-management·SkillAreaProcurement Management
- skill-area:organizational-design·SkillAreaOrganizational Design
Incoming edges
None.