ml-supply-chain

What problem does it solve?

This Skill empowers users to apply advanced machine learning and deep learning techniques to solve complex supply chain challenges, from demand forecasting to defect detection.

Core Features & Use Cases

• Predictive Modeling: Build and train models for demand forecasting, lead time prediction, and shipment delay prediction.
• Clustering & Segmentation: Segment customers or products based on historical data for targeted strategies.
• Computer Vision: Detect defects in products using Convolutional Neural Networks (CNNs).
• Use Case: A user wants to predict demand for a new product line using historical sales data and external factors like promotions and seasonality. This Skill can guide them through feature engineering, model selection (e.g., XGBoost, LSTM), training, and evaluation.

Quick Start

Use the ml-supply-chain skill to build a demand forecasting model using historical sales data.