AI-Powered Logistics: Optimizing Supply Chain Operations
Intensive 5-day course · English, Arabic & European languages
- Duration5 days
- FormatClassroom or live online
- LanguageEnglish, Arabic or a European language
- CertificateARUK Certificate of Attendance
- FeeFrom £2,280 + VAT
Logistics and supply chain professionals examine practical AI applications during this five-day course. Delegates work on demand forecasts, inventory and route planning, then study warehouse automation and predictive risk analysis. The programme connects AI with IoT visibility and blockchain transparency, using cases and exercises to consider operational improvements.
Classroom
Public courses in our cities
- 26–30 Oct 2026Abu Dhabi£4,200 + VAT
- 9–13 Nov 2026Rome£3,400 + VAT
- 23–27 Nov 2026Jeddah£4,200 + VAT
- 14–18 Dec 2026Munich£3,400 + VAT
- 28 Dec – 1 Jan 2026Muscat£3,080 + VAT
- 4–8 Jan 2027Istanbul£2,280 + VAT
Show 23 more dates
- 18–22 Jan 2027Cairo£2,280 + VAT
- 1–5 Feb 2027London£3,360 + VAT
- 15–19 Feb 2027Jeddah£4,200 + VAT
- 8–12 Mar 2027Barcelona£3,080 + VAT
- 22–26 Mar 2027Singapore£4,200 + VAT
- 12–16 Apr 2027Rome£3,400 + VAT
- 26–30 Apr 2027Muscat£3,080 + VAT
- 10–14 May 2027Munich£3,400 + VAT
- 24–28 May 2027Casablanca£2,280 + VAT
- 7–11 Jun 2027Istanbul£2,280 + VAT
- 21–25 Jun 2027Manama£3,080 + VAT
- 5–9 Jul 2027London£3,360 + VAT
- 19–23 Jul 2027Amman£3,400 + VAT
- 9–13 Aug 2027Barcelona£3,080 + VAT
- 23–27 Aug 2027Madrid£3,400 + VAT
- 13–17 Sep 2027Rome£3,400 + VAT
- 27 Sep – 1 Oct 2027Berlin£3,400 + VAT
- 11–15 Oct 2027Munich£3,400 + VAT
- 25–29 Oct 2027Milan£3,400 + VAT
- 1–5 Nov 2027Istanbul£2,280 + VAT
- 15–19 Nov 2027Malaga£3,080 + VAT
- 6–10 Dec 2027London£3,360 + VAT
- 20–24 Dec 2027Sarajevo£3,400 + VAT
Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%
Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options
Online (live)
With a trainer, on dates to suit your team
This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.
£1,850 + VAT
Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%
Tailor this course
Pick what you want changed and we’ll come back with a proposal and price.
Course overview
Connected supply networks depend on information about demand, stock and transport conditions. This course examines how AI can support that information and the decisions based on it, including predictive planning and automation. Delegates consider conventional logistics approaches alongside systems that use machine learning, IoT and predictive analytics.
Forecasting leads into practical inventory work. Sessions examine how demand models can support stock decisions and reduce disruptions, then turn to route algorithms and traffic monitoring. Transport work includes autonomous systems and fleet management, with practical applications in last-mile delivery.
Warehouse exercises address sorting, picking and packing. Delegates examine robotics and the integration of AI with connected devices for inventory visibility, followed by supply chain security and fraud prevention. Risk analysis and scenario modelling connect the operational work with resilience, while blockchain applications address transparency across supply networks.
Course objectives
By the end of the course, delegates will be able to:
- Explain the role of artificial intelligence in modern supply chain management
- Apply predictive models for accurate demand forecasting and inventory planning
- Automate warehouse, transport, and distribution activities
- Improve route planning and last-mile delivery efficiency
- Improve visibility across the supply chain by integrating AI and IoT
- Manage supply chain risks with predictive analytics and scenario modelling
- Cut costs and improve operational performance through technology adoption
Who should attend
This course suits:
- Supply chain and logistics managers overseeing end-to-end operations
- Procurement and operations staff responsible for planning and execution
- Warehouse and distribution leaders responsible for automation and inventory systems
- Fleet and transport supervisors concerned with routes and delivery performance
- AI, data analysis and technology specialists supporting logistics
- Business leaders driving digital transformation
Training methodology
- Delivered through instructor-led sessions covering core concepts and frameworks.
- Includes group discussions and real-world case studies across different industries.
- Exercises and demonstrations use AI forecasting models, route planning systems and warehouse automation solutions.
Daily agenda
- Day 1
Introduction to AI in Logistics
- The role of smart technologies in contemporary operations
- Comparing new systems to conventional management approaches
- Machine learning, predictive analytics, Internet of Things (IoT) and automation
- Case studies highlighting successful transformations
- Hands-on session: Familiarisation with modern tools
- Day 2
Demand Forecasting and Inventory Optimisation
- The role of precise forecasting in supply chain effectiveness
- Predictive methods for demand planning
- Optimising stock levels and controlling inventory
- Minimising disruptions through supported forecasting
- Hands-on session: Applying predictive models
- Day 3
Transportation and Route Optimisation
- Network planning and algorithms for route efficiency
- Real-time traffic monitoring and adaptive planning
- Autonomous transportation and smart fleet management
- Applications in last-mile delivery and process automation
- Hands-on session: Testing route optimisation software
- Day 4
Warehouse Management and Automation
- Automation technologies and robotic systems
- Intelligent sorting, picking, and packing solutions
- Integrating connected devices for real-time visibility
- Improving performance with process automation
- Hands-on session: Deploying software in warehouse management
- Day 5
Risk Management and Future Trends
- Supply chain risk analysis and mitigation strategies
- Strengthening security and preventing fraud
- Combining AI and blockchain for supply chain transparency
- Emerging trends and challenges in the industry
- Final case study and group discussion on successful implementation
Certificate
Every delegate who completes the course receives an ARUK Training Certificate of Attendance.
Frequently asked questions
How do I register?
Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.
Are fees shown with VAT?
Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.
Can this course be delivered for our team only?
Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.
Is this course available online?
Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.
Is there a group discount?
Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.
Can the course be delivered in Arabic or another language?
Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.
What certificate will I receive?
An ARUK Training Certificate of Attendance.
Related courses
Blockchain for Supply Chain Management
26–30 Oct 2026 · Riyadh
View course
Demand Planning and Demand Management
26–30 Oct 2026 · Dubai
View course