The Supply Chain Analytics and AI Optimization course in Paris is an advanced training course designed to help professionals optimize supply chain operations using data analytics and artificial intelligence.
From:
09-02-2026
From:
27-07-2026
From:
07-09-2026
Course Overview
Global supply chains face increasing challenges, from demand fluctuations to operational risks. This Supply Chain Analytics and AI Optimization Training Course introduces participants to advanced analytics, machine learning, and AI tools that transform supply chain management.
Participants will learn to use predictive models for demand forecasting, optimize logistics with AI, and apply analytics for real-time visibility. Case studies will highlight how industry leaders leverage AI to improve efficiency, reduce costs, and strengthen resilience against disruption.
By the end of the course, attendees will be able to design AI-enabled supply chain strategies that enhance agility, responsiveness, and competitive advantage.
Course Benefits
Apply analytics to improve supply chain efficiency
Use AI to predict demand and manage inventory
Optimize logistics and distribution with data insights
Enhance real-time visibility and risk management
Build resilient and adaptive supply chain strategies
Course Objectives
Explore analytics applications in supply chain management
Apply predictive models for demand forecasting
Use AI for logistics, routing, and inventory optimization
Improve real-time decision-making with analytics dashboards
Address risks and disruptions with AI-enabled systems
Ensure ethical and sustainable AI adoption in supply chains
Build long-term competitive strategies with data insights
Training Methodology
The course combines expert-led lectures, real-world case studies, group discussions, and practical exercises with supply chain datasets and AI platforms.
Target Audience
Supply chain and operations managers
Data analysts and logistics professionals
Business leaders driving operational excellence
Consultants in supply chain and digital transformation
Target Competencies
Supply chain analytics and forecasting
AI-enabled logistics optimization
Risk and disruption management
Strategic supply chain design
Course Outline
Unit 1: Introduction to Supply Chain Analytics
Key concepts of supply chain data and analytics
Benefits and challenges of AI in supply chains
Core KPIs for efficiency and performance
Case studies in data-driven supply chains
Unit 2: Demand Forecasting with AI
Predictive analytics for demand trends
Machine learning models for forecasting accuracy
Handling seasonality and market volatility
Hands-on demand forecasting exercise
Unit 3: Logistics and Inventory Optimization
AI tools for routing and distribution efficiency
Inventory optimization with predictive insights
Warehouse automation and robotics in logistics
Case studies in logistics innovation
Unit 4: Real-Time Visibility and Risk Management
IoT and real-time supply chain monitoring
AI-enabled dashboards for decision-making
Identifying and mitigating risks with analytics
Scenario planning for disruptions
Unit 5: Building Resilient and Sustainable Supply Chains
Strategies for agility and adaptability
Sustainable practices with AI optimization
Governance and ethics in AI supply chain use
Future trends in supply chain transformation
Ready to transform your supply chain with AI?
Join the Supply Chain Analytics and AI Optimization Training Course with EuroQuest International Training and unlock efficiency, resilience, and competitive advantage.
The Supply Chain Analytics and AI Optimization Training Courses in Paris provide professionals with the skills to leverage advanced data analytics and artificial intelligence (AI) techniques to optimize supply chain operations, enhance efficiency, and reduce costs. Designed for supply chain managers, data analysts, logistics professionals, and business leaders, these programs focus on how to apply AI-driven solutions to forecast demand, optimize inventory, and streamline distribution across complex supply chains.
Participants will explore key concepts in supply chain analytics, including demand forecasting, inventory management, transportation optimization, and risk mitigation. The courses emphasize how to integrate AI models into supply chain operations to improve decision-making, enhance visibility, and predict potential disruptions before they occur. Through practical workshops, case studies, and expert-led discussions, attendees will learn how to use machine learning algorithms, predictive analytics, and optimization techniques to develop smarter, data-driven supply chain strategies that lead to cost savings and operational improvements.
These supply chain analytics and AI optimization training programs in Paris offer a hands-on approach, providing experience with industry-leading tools and platforms such as Python, R, TensorFlow, and advanced supply chain management systems. Participants will gain practical skills in AI applications for inventory forecasting, route optimization, production scheduling, and predictive maintenance, ensuring a comprehensive understanding of how AI can drive supply chain efficiency and resilience. The curriculum also covers the ethical implications of AI in supply chains, emphasizing transparency and responsible implementation of AI technologies.
Attending these training courses in Paris offers professionals the opportunity to engage with experts in AI and supply chain management, collaborate with peers from diverse industries, and immerse themselves in the city’s dynamic tech and logistics ecosystem. By completing this specialization, participants will be equipped to lead AI-driven supply chain initiatives that optimize operations, reduce costs, and enhance the agility and competitiveness of their organizations in a rapidly changing global marketplace.