ML Forecasting Skill

What problem does it solve?

This Skill automates the creation and deployment of machine learning models to predict future demand for products, optimizing inventory management and reducing stockouts.

Core Features & Use Cases

• Demand Forecasting: Builds and deploys ensemble models (LSTM + XGBoost) for accurate sales predictions.
• Feature Engineering: Generates over 45 relevant features from temporal, sales, product, store, promotion, and weather data.
• Model Training & Evaluation: Manages the end-to-end pipeline from data preparation to performance monitoring.
• Deployment: Integrates with Vertex AI for scalable model serving.
• Use Case: A retail chain can use this Skill to forecast daily sales for each SKU in every store, enabling dynamic inventory adjustments and preventing lost sales due to stockouts.

Quick Start

Use the ML Forecasting Skill to generate a 7-day demand forecast for SKU 'XYZ123' at store 'STORE456'.