About This Course
The global warehouse industry is undergoing a fundamental transformation. Rising e-commerce volumes, labour market pressures, and the relentless drive for supply chain efficiency have accelerated the adoption of automated systems and robotics at an unprecedented pace. Organisations that fail to build internal capability in these technologies risk falling behind competitors who can fulfil orders faster, more accurately, and at lower cost.
This ten-day Automated Warehouse Systems and Robotics Training programme from TrainingComplex is designed to bridge the gap between traditional warehouse operations and the automated future. Participants gain a structured, end-to-end understanding of how modern automation technologies work, how they are selected and implemented, and how they are managed for sustained operational performance. The curriculum covers automated storage and retrieval systems (AS/RS), autonomous mobile robots (AMRs), robotic picking and palletising solutions, conveyor and sortation systems, warehouse management systems (WMS), and the safety and maintenance frameworks that keep these assets performing reliably.
The programme is deliberately practical. Every module connects theory to real operational scenarios, and participants work through case studies drawn from leading distribution centres in retail, manufacturing, pharmaceutical, and third-party logistics environments. By the final day, delegates will be capable of evaluating automation investment options, leading implementation projects, managing robotic fleets, and building a continuous improvement culture within their facilities.
Whether your organisation is exploring its first automation investment or scaling an existing system, this course provides the technical literacy, strategic thinking, and hands-on confidence needed to succeed.
Who Should Attend
- Warehouse Managers and Operations Supervisors
- Supply Chain and Logistics Managers
- Engineering and Facilities Managers responsible for warehouse infrastructure
- Procurement Professionals evaluating automation vendors and technologies
- Project Managers leading warehouse automation or digital transformation programmes
- IT and Systems Integration professionals supporting WMS and automation platforms
- Health, Safety and Compliance Officers in warehousing environments
- Senior Operations Executives seeking strategic oversight of automation investments
Learning Objectives
- Explain the core principles and architecture of automated warehouse systems and the role of robotics in modern logistics
- Identify and differentiate the main categories of warehouse automation technology, including AS/RS, AMRs, conveyors, sortation systems, and robotic arms
- Evaluate automation investment options using structured business case and ROI frameworks
- Design and optimise warehouse layouts to accommodate automated systems and robotic workflows
- Manage the integration of robotic systems with warehouse management systems (WMS) and enterprise resource planning (ERP) platforms
- Develop and execute implementation plans for warehouse automation projects, including vendor selection, commissioning, and change management
- Apply preventive and predictive maintenance strategies to keep automated assets performing at optimal levels
- Monitor and analyse key performance indicators (KPIs) specific to automated warehouse operations
- Implement health, safety, and risk management frameworks for environments where humans and robots work in proximity
- Build a continuous improvement and innovation culture that maximises long-term returns from automation investments
Course Modules
Module 1: The Automated Warehouse Landscape
- Evolution of warehouse operations: from manual to fully automated
- Key drivers of automation adoption: cost, labour, accuracy, and speed
- Global benchmarks and case examples from leading automated distribution centres
- Framework for assessing an organisation's automation readiness
- Automation maturity models: mapping the spectrum from mechanisation to autonomous operation
- Regulatory and labour market influences shaping automation investment decisions by region
Module 2: Core Technologies in Warehouse Automation
- Automated Storage and Retrieval Systems (AS/RS): unit load, mini-load, and shuttle systems
- Conveyor and sortation systems: belt, roller, tilt-tray, and cross-belt variants
- Automated Guided Vehicles (AGVs) versus Autonomous Mobile Robots (AMRs)
- Barcode, RFID, and vision-based identification and tracking technologies
- Pick-to-light, put-to-light, and voice-directed picking systems as operator-assist technologies
- Power and energy infrastructure considerations: charging systems, UPS, and load management for automation equipment
Module 3: Robotic Systems in Warehouse Operations
- Robotic picking technologies: articulated arms, delta robots, and collaborative robots (cobots)
- Palletising and depalletising robotics: applications and throughput considerations
- Goods-to-person systems: how robotic pods and shuttle systems serve picking stations
- Emerging robotics: mobile manipulation, exoskeletons, and drone-assisted inventory
- End-of-arm tooling selection: vacuum, mechanical, and adaptive grippers matched to product characteristics
- Robot orchestration software: how fleet management systems coordinate multi-robot picking workflows
Module 4: Warehouse Layout and Flow Design for Automation
- Principles of slotting and zoning in an automated environment
- Traffic flow design for mixed fleets of AMRs, forklifts, and pedestrian workers
- Scalable layout planning: designing facilities that can grow with automation
- Digital twin modelling: simulating layout changes before physical implementation
- Vertical space utilisation strategies: mezzanine structures, high-bay racking, and multi-tier picking modules
- Congestion analysis and bottleneck identification techniques for automated material flow paths
Module 5: Warehouse Management Systems and Automation Integration
- WMS architecture and its role as the command layer for automated systems
- Integration protocols: APIs, middleware, and data exchange standards
- Order management, wave planning, and task interleaving in an automated WMS
- ERP-to-WMS connectivity and inventory synchronisation across the supply chain
- Warehouse Control Systems (WCS) and Warehouse Execution Systems (WES): how they complement WMS in real-time equipment coordination
- Managing system upgrades and version releases without disrupting live automated operations
Module 6: Business Case Development and ROI Analysis
- Total cost of ownership (TCO) framework for warehouse automation investments
- Quantifying benefits: labour savings, error reduction, throughput gains, and space optimisation
- Payback period, NPV, and IRR calculations applied to automation scenarios
- Vendor evaluation criteria: capability, support, scalability, and financial stability
- Sensitivity analysis and scenario modelling: stress-testing the business case against volume fluctuations and cost variances
- Funding and financing structures for automation capital expenditure: leasing, robotics-as-a-service, and phased investment models
Module 7: Automation Project Implementation and Change Management
- Project lifecycle for warehouse automation: discovery, design, build, test, and go-live
- Vendor management and contract governance during implementation
- Stakeholder communication and workforce engagement strategies
- Managing the transition period: running parallel operations and phasing go-live
- Acceptance testing protocols: defining and executing factory acceptance tests (FAT) and site acceptance tests (SAT)
- Post-go-live stabilisation: hypercare support structures and early-life performance tracking
Module 8: Health, Safety, and Risk Management in Automated Warehouses
- Regulatory standards for human-robot collaboration: ISO 10218 and ISO/TS 15066
- Safety zoning, guarding systems, and emergency stop architecture
- Risk assessment methodology for automated environments using FMEA and bow-tie analysis
- Incident investigation protocols specific to robotic system interactions
- Safety validation and commissioning sign-off requirements before live automated operations commence
- Training and competency frameworks for workers operating in proximity to robotic systems
Module 9: Maintenance Strategies for Automated Systems
- Preventive maintenance schedules for conveyors, AS/RS, and robotic arms
- Predictive maintenance: sensors, condition monitoring, and IoT-enabled diagnostics
- Spare parts management and criticality analysis for automation assets
- Vendor support agreements: SLAs, remote diagnostics, and escalation procedures
- Maintenance management systems (CMMS): logging, scheduling, and tracking corrective and preventive work orders for automation assets
- Technician skills development: building in-house capability for first-line robotic and electromechanical fault resolution
Module 10: Performance Measurement and KPI Management
- Key performance indicators for automated warehouses: throughput, uptime, pick accuracy, and cycle time
- Building automation-specific dashboards and real-time monitoring capabilities
- Root cause analysis tools for diagnosing performance dips in automated systems
- Benchmarking against industry standards and setting performance improvement targets
- Overall Equipment Effectiveness (OEE) applied to warehouse automation assets: measuring availability, performance, and quality
- Capacity modelling and headroom analysis: using KPI trend data to anticipate when automation assets will reach throughput limits
Module 11: Data Analytics and Artificial Intelligence in Warehouse Automation
- Role of data analytics in optimising robotic fleet scheduling and task allocation
- Machine learning applications: demand forecasting, slotting optimisation, and anomaly detection
- Connecting warehouse data to supply chain visibility platforms
- Building a data governance framework to ensure data quality across automation systems
- Real-time event streaming and edge computing: processing sensor and equipment data at the point of generation to reduce latency
- Measuring and communicating analytics ROI: translating model outputs into operational decisions and quantifiable efficiency gains
Module 12: Cybersecurity and System Resilience for Automated Warehouses
- Cybersecurity risks unique to connected warehouse automation systems
- Network segmentation, access control, and firmware management for robotics
- Business continuity planning: manual fallback procedures and system redundancy
- Disaster recovery testing and recovery time objectives (RTOs) for warehouse automation
- Threat detection and security monitoring: intrusion detection systems and security information and event management (SIEM) applied to OT environments
- Supply chain software risk: managing cybersecurity exposure introduced through vendor remote access and third-party system integrations
Module 13: Continuous Improvement and the Future of Warehouse Automation
- Lean and Kaizen principles applied to automated warehouse operations
- Building an internal innovation pipeline: piloting new technologies at manageable scale
- Workforce upskilling roadmaps: preparing teams for ongoing automation advancement
- Future trends: autonomous fulfilment centres, 5G-enabled robotics, and sustainable automation
- Structured retrospectives and post-implementation reviews: embedding lessons learned into future automation decisions
- Measuring automation's contribution to sustainability targets: energy consumption benchmarking, carbon footprint reduction, and circular economy practices in automated facilities
Requirements & Prerequisites
Participants should have at least two years of experience working in warehouse, logistics, or supply chain operations. A basic understanding of warehouse processes such as receiving, storage, picking, and dispatch is assumed. Familiarity with warehouse management systems or inventory software is helpful but not required, as the course builds technical knowledge progressively from foundational concepts.
Training Methodology
- Facility walkthrough simulations using digital twin models of real-world automated distribution centres to contextualise each technology category
- Vendor technology showcases and comparative analysis exercises where participants evaluate competing automation solutions against defined operational requirements
- Structured business case workshops in which participants build an ROI model for a hypothetical automation investment using provided cost and productivity data
- KPI dashboard exercises where teams interpret live-style performance data from simulated AMR fleets and AS/RS systems to diagnose operational issues
- Human-robot collaboration scenario exercises exploring safety zoning, traffic management, and emergency stop protocols in mixed-workforce environments
- Group case studies from retail, pharmaceutical, and third-party logistics distribution centres illustrating real implementation successes and failure recovery
- WMS integration labs where participants map data flows between robotic systems, WMS platforms, and ERP environments using process-mapping tools
- Maintenance planning workshops using failure mode and effect analysis (FMEA) to build preventive maintenance schedules for key automation assets
- Peer-led implementation project reviews where participant teams present a mini automation deployment plan and receive structured feedback
- Reflective practice journals maintained throughout the programme to consolidate learning and connect concepts to each participant's own operational context
Organisational Benefits
- Reduced fulfilment errors and improved order accuracy across the warehouse operation
- Higher throughput and faster order cycle times, supporting better customer service levels
- Lower long-term labour costs through strategic automation of repetitive, high-volume tasks
- Improved inventory accuracy through real-time tracking enabled by integrated WMS and robotics platforms
- Reduced workplace injuries resulting from structured human-robot safety practices
- Greater staff capability and confidence to manage, troubleshoot, and continuously improve automated systems
- Stronger vendor negotiation and procurement decisions backed by technical and commercial literacy
- Accelerated return on automation investments through better implementation planning and performance monitoring
- Enhanced organisational readiness for future technology upgrades and digital supply chain transformation
Where Is Automated Warehouse Systems and Robotics Training Offered?
This course runs in-person across: Dar es Salaam, Dubai, Cape Town, Mombasa, Nakuru, Abuja, Kampala, Johannesburg, Naivasha, Kigali, Lagos, Accra, Riyadh, Pretoria, Zanzibar, Nairobi, Kisumu, Arusha, Addis Ababa, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Dar es Salaam, Tanzania |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
USD 4,600 |
| Dubai, United Arab Emirates |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
USD 8,200 |
| Cape Town, South Africa |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
USD 7,600 |
| Mombasa, Kenya |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
KES 230,000 |
| Nakuru, Kenya |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
KES 230,000 |
| Abuja, Nigeria |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
USD 5,600 |
| Kampala, Uganda |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 3,800 |
| Johannesburg, South Africa |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 7,000 |
| Naivasha, Kenya |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
KES 240,000 |
| Kigali, Rwanda |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 3,800 |
| Lagos, Nigeria |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 5,000 |
| Accra, Ghana |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 7,600 |
| Riyadh, Saudi Arabia |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 9,000 |
| Live Virtual |
Online |
24 Oct 2026 – 13 Dec 2026 |
KES 160,000 |
| Pretoria, South Africa |
In-Person |
26 Oct 2026 – 4 Nov 2026 |
USD 6,600 |
+237 more dates — view live schedule →
Frequently Asked Questions
Do I need a technical engineering background to attend this course?
No engineering degree is required. The course is designed for operations, logistics, and supply chain professionals with practical warehouse experience. Technical concepts are introduced progressively and explained in operational context, making the content accessible to non-engineers while still being substantive for those with a technical background.
Will I receive a certificate upon completing the course?
Yes. Participants who attend the full ten-day programme receive a Certificate of Completion from TrainingComplex in Automated Warehouse Systems and Robotics. This certificate is recognised by industry bodies and can be used to support continuing professional development (CPD) portfolios.
Is this course suitable for organisations that are only beginning to explore automation?
Absolutely. The programme covers the full automation journey from initial readiness assessment and business case development through to implementation and ongoing management. Participants at the early stages of automation exploration will gain the frameworks and knowledge to make informed investment decisions.
How is the course structured across the ten days?
The ten days are divided into thirteen progressive modules, typically covering one to two modules per day with a balance of instructor-led instruction and practical workshops. Days are structured to build from foundational technology knowledge through to strategic, financial, and leadership dimensions of automation management.
Can organisations send multiple team members to attend together?
Yes, and it is strongly encouraged. Sending a cross-functional group — including operations, IT, safety, and procurement representatives — maximises the value of the programme, as participants can immediately apply and discuss learning in the context of their shared operational environment. Group registration discounts are available through TrainingComplex.
