Logistics and Transportation AI Applications Training Course

Module 1: The AI Revolution in Global Logistics

• Evolution of logistics: From manual tracking to the Internet of Physical Things (IoPT)
• Identifying the ROI of AI in transportation: Speed, safety, and sustainability
• Overview of the AI stack: Sensors, Edge Computing, and Cloud Decision Engines
• Mapping the logistics value chain for AI-ready touchpoints
• Key challenges: Data fragmentation, legacy systems, and connectivity issues
• Practical session: Performing a "Digital Readiness" audit on a transport operations case study

Module 2: Data Engineering for Transportation Networks

• Consolidating heterogeneous data: GPS logs, Telematics, ERP, and Weather feeds
• Feature engineering for logistics: Handling time-series and geospatial data structures
• Real-time data streaming architectures for constant fleet monitoring
• Cleaning and normalizing erratic sensor data from moving assets
• Natural Language Processing (NLP) for automated bill of lading and manifest analysis
• Practical session: Building a data pipeline to merge GPS telemetry with historical traffic data

Module 3: Predictive Maintenance for Vehicle Fleets

• Shifting from reactive to proactive maintenance for trucks, planes, and ships
• Utilizing engine telemetry to predict component failure before it occurs
• Machine learning for tire and fuel consumption optimization
• Anomaly detection in vehicle performance logs to prevent road accidents
• Calculating the "Cost of Failure" vs. the "Cost of Maintenance"
• Practical session: Developing a predictive maintenance model using a vehicle engine dataset

Module 4: Route Optimization and Dynamic Scheduling

• Solving the "Vehicle Routing Problem" (VRP) using genetic algorithms and AI
• Real-time rerouting based on traffic, weather, and unexpected delivery window changes
• Dynamic pricing models: Adjusting freight rates based on supply, demand, and fuel costs
• Backhaul optimization: Reducing "Empty Miles" through intelligent load matching
• Multi-modal optimization: Coordinating sea, rail, and road for complex journeys
• Practical session: Implementing an AI-driven route optimizer for a multi-drop courier fleet

Module 5: Demand Forecasting and Capacity Planning

• Time-series analysis for seasonal shipping peaks and volume surges
• Integrating external market signals to predict freight demand
• Automated capacity bidding and carrier selection using machine learning
• Predicting "No-shows" and cancellations in cargo booking
• Warehouse space optimization based on forecasted inbound shipments
• Practical session: Building a demand forecasting model using Gradient Boosting for a regional 3PL

Module 6: Computer Vision in Warehousing and Cargo Handling

• Automated cargo inspection: Detecting damage and leakage using vision AI
• Optical Character Recognition (OCR) for automated container and plate identification
• Crowd and gesture analysis for safety monitoring in busy loading docks
• AI-driven dimensioning: Automatically calculating cargo volume for space optimization
• Inventory tracking using autonomous mobile robots (AMRs) with vision sensors
• Practical session: Using a computer vision API to identify and categorize damaged packages in a simulated warehouse

Module 7: Autonomous Vehicles and Drone Delivery

• Levels of Autonomy: From Advanced Driver Assistance Systems (ADAS) to Level 5
• Path planning and obstacle avoidance algorithms for autonomous trucks
• Drone logistics: Solving the "Last-Mile" challenge with aerial delivery
• Swarm intelligence: Coordinating multiple robots for efficient warehouse picking
• Regulatory landscapes and the "Human-in-the-Loop" requirement for autonomous transport
• Practical session: Simulating an autonomous drone delivery mission with obstacle avoidance

Module 8: AI in Maritime and Port Operations

• Smart Port Architecture: Coordinating cranes, berths, and trucks via AI
• Predictive arrival times (ETA) for ships using maritime AIS data
• AI for bunker fuel optimization and emission monitoring
• Automating terminal gates through biometric and plate recognition systems
• Managing berth allocation and crane scheduling through reinforcement learning
• Practical session: Analyzing maritime AIS data to predict vessel congestion at a major port

Module 9: Intelligent Traffic Management and Urban Logistics

• Smart City integration: Communicating with urban infrastructure (V2I)
• Curb-side management: AI for optimizing loading zones and reducing double-parking
• Micromobility integration: Coordinating bikes and scooters with urban delivery
• Predicting urban traffic bottlenecks and "Ghost" congestion using neural networks
• AI for public transit synchronization and multi-modal passenger hubs
• Practical session: Designing an AI-driven curbside management plan for a congested city center

Module 10: AI Governance, Safety, and Sustainability

• Navigating data privacy and GDPR/CCPA in transportation tracking
• Addressing algorithmic bias in delivery routing and pricing
• Green Logistics: Using AI to calculate and reduce Scope 3 emissions
• The ethics of autonomous decision-making in high-risk transport scenarios
• Building a long-term AI roadmap: From pilot projects to autonomous fleets
• Practical session: Drafting an AI safety and ethics framework for a global transportation firm

Requirements:

Participants should be reasonably proficient in English.

Applicants must live up to Phoenix Training Center admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@phoenixtrainingcenter.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254725012095 / +254724452588