Описание
Business Training Audience
Business Owners
Management
Purchasing Director
Logistics Director
IT Director
CFO
Chief Accountant
Internal Audit Director
Internal Control Director
Risk Manager
Managers and responsible employees from all company departments
This business training on operational logistics and the application of artificial intelligence (AI) in company logistics will help you solve practical problems:
Learn artificial intelligence (AI) technologies that improve the efficiency, transparency, and resilience of logistics processes—from supply planning and inventory management to route optimization, risk monitoring, and cost reduction.
Learn how AI can be used to optimize supply chains, forecast, and make data-driven decisions.
Learn how AI is transforming supply chains and logistics.
Master forecasting, planning, and optimization methods.
Learn AI tools for reducing costs and increasing reliability. Supply Chain
Learn to Develop AI-Driven Logistics Strategies
Key Topics of the Business Training:
The Role of Artificial Intelligence in Modern Logistics
Goal: Understand the strategic role of AI in improving the efficiency of logistics processes.
Topics:
Digital Transformation of Logistics: Shifting from Reactive to Predictive Management
AI Technologies: Machine Learning, Neural Networks, IoT, and Big Data
Key Applications of AI in Logistics
The Impact of AI on the Speed, Cost, and Resilience of Supply Chains
Ethical and Legal Aspects of Using AI
Workshop: Assessing the Digital Maturity of a Company’s Logistics
Demand Forecasting and Supply Planning
Goal: Master the Application of AI to Improve the Accuracy of Planning and Forecasting
Topics:
Application of AI models for demand forecasting
Using neural networks to identify seasonal and market trends
Forecasting production and transportation capacity utilization
Synchronizing purchasing, production, and delivery plans
Inventory optimization using predictive analytics
Workshop: Building an AI model for demand and inventory forecasting
Inventory management and warehouse logistics using AI
Goal: Improve the efficiency of warehouse operations using intelligent systems.
Topics:
AI solutions for warehouse inventory management (WMS + AI)
Predicting shortages and surpluses
Slotting optimization
Robotization and automation of warehouse operations
Computer vision for inventory control, monitoring, and security
Workshop: Optimizing warehouse space using AI
AI in transport logistics and route management
Goal: Learn to use AI to optimize transport flows.
Topics:
Intelligent Route Planning (Route Optimization)
Delivery Time and Delay Forecasting
Fleet Management and Fuel Efficiency
Application of AI for Dynamic Order Allocation
Using IoT Sensors and AI Analytics in Transportation Monitoring
Workshop: Creating an AI Model for Route Optimization and Monitoring
Analytics and Risk Management in Logistics Using AI
Goal: Use AI for risk prediction and continuous monitoring.
Topics:
Supply Chain Risk Analytics
Predicting Disruptions, Shortages, and Force Majeure
Supplier Resilience Monitoring
Using AI Dashboards to Visualize KPIs
Comprehensive Real-Time Risk Management
Workshop: Building an AI Dashboard for Supply Chain Risks
Application of AI for Sustainable and Green Logistics
Goal: Explore the potential of AI in improving environmental and economic efficiency.
Topics:
Optimizing Transport Routes to Reduce CO₂ Emissions
Forecasting Energy and Fuel Consumption
Using AI in Sustainable Supply Chain Planning
ESG Monitoring and Supplier Evaluation Using AI
Using AI for Smart Warehouses and Eco-Transport
Workshop: Calculating the Environmental Impact of AI-Based Logistics Optimization
Implementing AI in a Company’s Logistics System
Goal: Develop a logistics digitalization strategy using AI.
Topics:
Stages of Implementing AI in Logistics Processes
Integrating AI Solutions with ERP, WMS, and TMS
Change Management and Staff Training
Performance Metrics (ROI, KPIs, SLAs)
AI Application Cases in Logistics (Amazon, DHL, Maersk, Alibaba, etc.)
Workshop: Developing a Roadmap for Implementing AI in a Company’s Logistics
Duration: 2 days
