course | Using AI for effective Supply chain Management
Join the Using AI for ef... course taught in English
PSCO-2794 | Using AI for effective Supply chain Management
Course Sector : Procurement & Supply Chain Operations
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 26/10/2026 | 30/10/2026 | Amsterdam | $4,950 | Book now |
| 5 Days | 21/12/2026 | 25/12/2026 | Dubai | $4,250 | Book now |
| 5 Days | 15/03/2027 | 19/03/2027 | Barcelona | $4,950 | Book now |
| 5 Days | 09/05/2027 | 13/05/2027 | Dammam | $4,250 | Book now |
| 5 Days | 09/08/2027 | 13/08/2027 | Dubai | $4,250 | Book now |
| 5 Days | 30/08/2027 | 03/09/2027 | Abu Dhabi | $4,250 | Book now |
| 5 Days | 18/10/2027 | 22/10/2027 | London | $4,950 | Book now |
Course Introduction
This training is designed by Boost to explore how artificial intelligence is transforming supply chain management. Participants will learn how to leverage AI-powered tools and frameworks to enhance visibility, forecast demand, optimize operations, and make intelligent decisions across the supply chain.
From predictive analytics to autonomous logistics, this course offers a practical roadmap for implementing AI at different stages of the supply chain. It bridges the gap between technology and strategy, helping supply chain professionals harness the power of data, algorithms, and automation to improve performance, reduce risk, and build smarter, more resilient networks.
Course objective
- Understand the role and impact of AI in modern supply chains
- Apply machine learning for demand forecasting and inventory management
- Integrate AI tools into procurement, logistics, and supplier management
- Enhance decision-making with predictive and prescriptive analytics
- Evaluate AI solutions for implementation and scalability
Course audience
- Supply Chain Managers and Directors
- Procurement Professionals and Buyers
- Operations and Logistics Teams
- Business Analysts and AI Specialists
- ERP and Digital Transformation Leaders
Course Outline | Day 01
Foundations of AI in Supply Chain
Introduction to Artificial Intelligence and Machine Learning
- Key concepts: supervised, unsupervised, reinforcement learning
- Real-world applications of AI in logistics and procurement
- Data types and sources in supply chain contexts
AI Capabilities in Supply Chain Operations
- Cognitive automation vs. rule-based automation
- Natural Language Processing (NLP) in supplier communication
- AI vs. traditional ERP and optimization tools
Course Outline | Day 02
AI in Forecasting and Inventory Optimization
Demand Forecasting Using AI Models
- Time-series forecasting with machine learning
- Reducing stockouts and overstock through AI-driven insights
- Case studies: retail and manufacturing sectors
Inventory Control and Optimization
- Inventory classification using AI clustering techniques
- Dynamic reorder point setting
- Integrating AI with inventory management systems
Course Outline | Day 03
AI in Procurement and Supplier Management
AI-Powered Procurement Decision Making
- Smart sourcing and AI-driven RFQs
- Supplier risk scoring and contract matching using AI
- Real-time procurement dashboards
AI in Supplier Evaluation and Relationship Management
- Supplier sentiment analysis from performance data
- Predictive analytics for supplier risk
- Automating supplier segmentation and onboarding
Course Outline | Day 04
Autonomous Supply Chain and Logistics Optimization
AI in Logistics Planning and Route Optimization
- Autonomous vehicle planning and drone logistics
- Route optimization using reinforcement learning
- Freight and warehouse automation
Digital Twins and AI Simulation
- Building virtual replicas for supply chain modeling
- Scenario planning using AI
- Monitoring real-time KPIs via AI dashboards
Course Outline | Day 05
Implementation Strategies and Risk Management
AI Integration into Existing Supply Chain Systems
- Cloud-based AI platforms and APIs
- Aligning AI strategy with digital transformation roadmaps
- Cross-functional team collaboration
Ethical and Risk Considerations
- AI bias and transparency in supply chain decision-making
- Data privacy and compliance frameworks
- Ensuring explainability and accountability in AI systems
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
Since 2001, we’ve been at the forefront of professional training in the Middle East — shaping the future of learning and development one success story at a time. With a vision rooted in innovation and excellence, we help individuals, teams, and organizations reach their highest potential through integrated, future-ready training solutions. Our comprehensive programs combine global best practices with local insights, empowering people to grow, lead, and make a lasting impact in their industries.
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