Ai-Powered Demand Forecasting

Mastering Demand Forecasting with AI and Machine Learning

What you'll learn

Core Forecasting Techniques

Introduction to AI and Its Role in Forecasting

Hands-On Use of AI Tools

Choosing the Right Model for Your Business Context

Requirements

Passion for learning forecasting techniques plus artificial intelligence applications

Description

In today’s fast-paced supply chains, accurate demand forecasting is critical—and Artificial Intelligence is revolutionizing how businesses predict demand. This course is designed to equip planners, analysts, and supply chain professionals with the skills to integrate AI into their forecasting processes.You'll start by learning the fundamentals of demand forecasting, exploring both traditional techniques (like Moving Average, Exponential Smoothing, Linear Regression, and ARIMA) and specialized methods for intermittent demand such as Croston’s Method. We’ll dive deep into how and when to apply each model, using real-world business examples and intuitive explanations.Next, we shift into the world of AI and machine learning. You'll discover how AI enhances forecasting accuracy, handles large datasets, adapts to changing trends, and uncovers patterns that traditional models might miss. With practical demos and hands-on guidance, you'll learn to use Python-based tools and platforms like Prophet, Scikit-learn, and even cloud-based solutions such as AWS Forecast and Google AutoML.Whether you're managing inventory, planning production, or leading demand planning initiatives, this course will help you move beyond spreadsheets and into data-driven, intelligent forecasting. No previous coding experience is required—just curiosity, analytical thinking, and a desire to bring forecasting into the future of digital transformation.Instructor: Abraham Natanael Camargo Ortega

Overview

Section 1: Introducción

Lecture 1 Course Navigation

Lecture 2 Introduction

Lecture 3 Introduction to Demand Forecasting

Lecture 4 Exploring AI Tools

Lecture 5 Forecasting Techniques: Qualitative, Quantitative, Time Series

Section 2: Demand Forecasting Techniques

Lecture 6 Theoretical Definition of Demand Forecasting Techniques

Section 3: Using AI in Demand Forecasting

Lecture 7 Real Case of using AI in Demand Forecasting

Demand Planner, Supply Chain professionals, Forecasters, Python programmers