Prosperas Skills Center

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  • Nairobi, Kenya
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Training Course on Artificial Intelligence and Automation in Supply Chain Management

Training Course on Artificial Intelligence and Automation in Supply Chain Management

Duration: 5 Days

Location: Nairobi

Course Overview
As global supply chains become increasingly complex and data-driven, Artificial Intelligence (AI) and automation technologies are emerging as critical enablers of supply chain resilience, agility, and competitiveness. This course is designed to provide professionals with a deep understanding of how AI, machine learning, robotic automation, and intelligent systems are transforming supply chain functions—from procurement to logistics, demand forecasting, inventory optimization, and customer service.
Participants will explore the practical applications of AI in real-time decision-making, predictive analytics, and risk management. The course highlights how automation tools such as Robotic Process Automation (RPA), smart warehousing solutions, and autonomous logistics systems are streamlining operations and reducing human error. With a focus on hands-on application, participants will be introduced to AI-powered tools, algorithms, and platforms that can be integrated into supply chain operations to improve speed, accuracy, and efficiency.
Through case studies, system demonstrations, and scenario-based group activities, the course bridges the gap between technology concepts and operational realities. Participants will also learn about ethical considerations, data governance, and change management strategies essential for successful AI adoption.
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Course Objectives
By the end of this course, participants will be able to:
•Understand key AI and automation technologies relevant to supply chain management
•Apply AI techniques to improve forecasting, sourcing, and demand planning
•Identify automation opportunities across logistics, warehousing, and procurement
•Use AI tools to enhance visibility, responsiveness, and customer satisfaction
•Evaluate the risks, limitations, and governance requirements of intelligent systems
•Design a roadmap for integrating AI and automation in their organizational supply chain
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Target Audience
This course is ideal for:
•Supply chain and logistics managers
•Operations and procurement professionals
•ICT and innovation officers
•Data analysts and planners
•Project managers in manufacturing, retail, health, and humanitarian logistics
•Strategy and transformation teams
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Training Methodology
•Facilitator-led sessions with practical examples
•Demonstration of AI and automation platforms (e.g., RPA tools, AI dashboards)
•Hands-on simulations of predictive and prescriptive models
•Case studies of AI in global and local supply chain operations
•Group exercises and design-thinking activities
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Expected Outcomes
Participants will gain the ability to:
•Use AI to automate routine supply chain tasks and decision-making
•Enhance forecasting accuracy and inventory optimization with machine learning
•Implement intelligent routing and smart warehousing technologies
•Improve supplier selection, procurement efficiency, and customer fulfillment
•Develop a strategy for digital transformation using AI and automation

Course Modules / Key Topics
Module 1: Introduction to AI and Automation in Supply Chains
•Definitions, concepts, and scope of AI in SCM
•The automation spectrum: from RPA to cognitive automation
•Key trends and innovations in intelligent supply chains
Module 2: AI in Procurement and Supplier Management
•Predictive sourcing and AI-based vendor scoring
•Contract analysis and compliance automation
•Chatbots and virtual procurement assistants
Module 3: Forecasting and Inventory Optimization with AI
•Demand sensing and machine learning models
•Automated replenishment and stock level optimization
•AI-driven inventory simulations and dashboards
Module 4: Automation in Logistics and Warehousing
•Smart warehouses: robotics, drones, and IoT integration
•Autonomous vehicles and last-mile delivery automation
•Warehouse Execution Systems (WES) and robotic picking
Module 5: AI for Risk Management and Supply Chain Resilience
•Scenario modeling and AI-powered risk prediction
•Real-time supply chain monitoring using AI
•Blockchain and AI for supply chain transparency
Module 6: Ethics, Data Governance, and Implementation Strategies
•Ethical considerations in AI deployment
•Data quality, bias, and algorithm accountability
•Organizational readiness and change management
Capstone Session: Designing an AI-Driven Supply Chain Strategy
•Group project: identify use cases and map automation solutions
•Develop an AI integration roadmap
•Presentations and peer feedback

Course General Information:
This course is delivered by qualified and experienced trainers with extensive expertise in their respective fields. Our training approach combines interactive theory sessions, hands-on practical activities, group work, and case studies, ensuring a dynamic and impactful learning experience.

Training Location: The sessions will be held at PROSPERAS SKILLS CENTER, Nairobi, Kenya. We also offer tailor-made group training at client-requested locations upon prior arrangement.

Certification: Upon successfully completing the training, participants will be awarded a certificate from PROSPERAS SKILLS CENTER.

Fees and Inclusions: Covers tuition, training materials, lunch, and venue. Accommodation and airport transfers can be arranged upon request.

Payment Details: Payment must be made to our bank account prior to the commencement of training. Please forward proof of payment to: trainings@prosperasskillscenter.com

For Further Inquiries: Contact us via email: trainings@prosperasskillscenter.com

Artificial Intelligence and Automation in Supply Chain Management

Start DateEnd DateOnline Fee (USD)In-Person Fee (USD)Register
17 Nov, 202521 Nov, 202510001500Enroll
24 Nov, 202528 Nov, 202510001500Enroll
01 Dec, 202505 Dec, 202510001500Enroll
15 Dec, 202519 Dec, 202510001500Enroll
05 Jan, 202609 Jan, 202610001500Enroll
12 Jan, 202616 Jan, 202610001500Enroll
19 Jan, 202623 Jan, 202610001500Enroll
26 Jan, 202630 Jan, 202610001500Enroll
02 Feb, 202606 Feb, 202610001500Enroll
09 Feb, 202613 Feb, 202610001500Enroll
23 Feb, 202627 Feb, 202610001500Enroll
23 Feb, 202627 Feb, 202610001500Enroll
02 Mar, 202606 Mar, 202610001500Enroll
09 Mar, 202613 Mar, 202610001500Enroll
23 Mar, 202627 Mar, 202610001500Enroll
13 Apr, 202617 Apr, 202610001500Enroll
20 Apr, 202624 Apr, 202610001500Enroll
04 May, 202608 May, 202610001500Enroll
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08 Jun, 202612 Jun, 202610001500Enroll
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29 Jun, 202603 Jul, 202610001500Enroll
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31 Aug, 202604 Sep, 202610001500Enroll
07 Sep, 202611 Sep, 202610001500Enroll
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28 Sep, 202602 Oct, 202610001500Enroll
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26 Oct, 202630 Oct, 202610001500Enroll
02 Nov, 202606 Nov, 202610001500Enroll
09 Nov, 202613 Nov, 202610001500Enroll
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23 Nov, 202627 Nov, 202610001500Enroll
30 Nov, 202604 Dec, 202610001500Enroll
07 Dec, 202611 Dec, 202610001500Enroll
14 Dec, 202618 Dec, 202610001500Enroll

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