AI Agent Supply Chain Intelligence Agent

Forecasting Agent

Implements ensemble forecasting combining ARIMA for time-series patterns, Prophet for seasonality and trend decomposition, and XGBoost for non-linear relationships. Automatically selects optimal models per SKU based on cross-validation MAPE. Generates confidence intervals at 95% level and provides forecast accuracy metrics with feature importance rankings.

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Forecasting Agent

Part of Supply Chain Intelligence Agent

Portal: Nexgile Dealrix Nexus

Agent ID: forecaster-agent

Problem Statement

The challenge addressed

Accurate demand forecasting requires sophisticated modeling beyond simple extrapolation. Single-model approaches fail to capture the complexity of real-world demand patterns.

Core Logic

How the agent solves it

Implements ensemble forecasting combining ARIMA for time-series patterns, Prophet for seasonality and trend decomposition, and XGBoost for non-linear relationships. Automatically selects optimal model... Implements ensemble forecasting combining ARIMA for time-series patterns, Prophet for seasonality and trend decomposition, and XGBoost for non-linear relationships. Automatically selects optimal models per SKU based on cross-validation MAPE. Generates confidence intervals at 95% level and provides forecast accuracy metrics with feature importance rankings.

System Navigation

Explore related components

Portal

Nexgile Dealrix Nexus

Digital Worker

Supply Chain Intelligence Agent

Current Agent

Forecasting Agent

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