THE INTERNET OF THINGS (IOT) IN RETAIL
Revolutionizing Retail Operations through Smart Connected Technologies
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 08 – 12 Sep 2025 | London – UK | USD 3495 per delegate |
Course Introduction
The retail sector is undergoing a profound digital transformation, driven by the adoption of the Internet of Things (IoT). From smart shelves to connected point-of-sale systems, IoT technologies are enhancing customer experience, optimizing inventory management, and driving data-driven decisions.
This intensive 5-day training course is designed to equip retail professionals with the insights and tools to successfully implement and leverage IoT across the value chain. Participants will explore key technologies, real-world applications, integration challenges, and security concerns in deploying IoT for retail environments.
Course Objectives
By the end of this course, participants will be able to:
• Understand the fundamentals and architecture of IoT in the retail context
• Identify opportunities for IoT deployment across retail operations
• Evaluate IoT platforms, sensors, and technologies relevant to retail
• Design secure, scalable IoT strategies aligned with business goals
• Leverage IoT data for customer personalization, predictive analytics, and inventory optimization
Key Benefits of Attending
• Stay ahead of digital trends transforming the global retail landscape
• Learn to integrate IoT with ERP, CRM, and POS systems
• Explore successful case studies of IoT-driven retail innovation
• Build strategies to enhance customer experience and reduce operational inefficiencies
• Understand security, privacy, and compliance in connected retail systems
Intended Audience
This program is designed for:
• Retail operations and innovation managers
• Supply chain and logistics professionals in the retail sector
• IT architects and digital transformation officers
• E-commerce and omnichannel retail managers
• Business analysts and consultants in retail technology
Individual Benefits
INDIVIDUAL BENEFITS
Key competencies that will be developed include:
• In-depth understanding of IoT architecture and applications in retail
• Strategic thinking for digital transformation in customer experience and operations
• Capability to assess and select IoT tools and platforms
• Knowledge of integration, interoperability, and data handling in IoT systems
• Skills to drive innovation and efficiency in retail operations
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Enhanced readiness for IoT implementation across retail environments
• Ability to reduce operational costs through automation and real-time analytics
• Improved inventory visibility, asset tracking, and demand forecasting
• Stronger customer engagement through data-driven personalization
• Better compliance with data security and privacy regulations
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Core principles of IoT, edge computing, sensors, and network integration in retail
• Case Studies – Examples of IoT-driven retail innovations from global brands
• Workshops – Hands-on sessions for designing IoT solutions and analyzing use-cases
• Peer Exchange – Collaborative discussions and solution development across retail domains
• Tools – IoT architecture templates, vendor evaluation checklists, and integration blueprints
Course Outline
DETAILED 5-DAY COURSE OUTLINE
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Introduction to IoT and the Connected Retail Landscape
Module 1: Fundamentals of IoT in Retail (07:30 – 09:30)
• Key concepts, definitions, and components of IoT
• Overview of IoT adoption in the global retail industry
• Value creation and digital transformation through IoT
Module 2: IoT Architecture and Communication Technologies (09:45 – 11:15)
• IoT layers: perception, network, and application
• Communication protocols: RFID, NFC, BLE, Zigbee, Wi-Fi
• Device management and connectivity in retail
Module 3: IoT-Enabled Retail Applications (11:30 – 01:00)
• Smart shelves, digital signage, automated checkout
• Connected POS systems and in-store analytics
• Augmented reality and customer engagement
Module 4: Workshop – Mapping Retail IoT Use Cases (02:00 – 03:30)
• Identifying business needs
• Matching IoT solutions to retail functions
• Group presentations on potential implementations
Day 2: Smart Inventory Management and Supply Chain Optimization
Module 1: IoT in Inventory Management (07:30 – 09:30)
• Real-time inventory tracking with sensors and RFID
• Automated replenishment systems
• Stockout and overstock prevention
Module 2: Connected Supply Chains (09:45 – 11:15)
• IoT for shipment monitoring and cold chain tracking
• Warehouse automation and asset visibility
• Integration with WMS and ERP systems
Module 3: Predictive Analytics and Demand Forecasting (11:30 – 01:00)
• Leveraging IoT data for predictive insights
• Machine learning models for demand patterns
• Applications in seasonal planning and promotions
Module 4: Workshop – IoT in Warehouse & Logistics (02:00 – 03:30)
• Designing a smart inventory system
• Case study analysis
• Drafting a technology roadmap
Day 3: Enhancing Customer Experience and Engagement
Module 1: IoT-Driven Personalization (07:30 – 09:30)
• Real-time customer tracking and profiling
• Personalized promotions and location-based offers
• Integration with CRM systems
Module 2: Omnichannel Integration (09:45 – 11:15)
• Cross-channel experience and click-and-collect models
• Smart fitting rooms and mobile app integration
• Unified commerce enabled by IoT
Module 3: Voice and Visual Technologies in Retail (11:30 – 01:00)
• Smart assistants and conversational commerce
• Visual recognition for product discovery
• Interactive kiosks and self-service tech
Module 4: Workshop – Customer Journey Mapping with IoT (02:00 – 03:30)
• Designing connected customer experiences
• Personas and behavior modeling
• IoT touchpoint planning
Day 4: Data Management, Privacy, and Security
Module 1: IoT Data Collection and Integration (07:30 – 09:30)
• Sensor data acquisition and storage
• Data lakes and cloud computing in retail
• Edge vs. cloud analytics
Module 2: Cybersecurity in IoT Deployments (09:45 – 11:15)
• Common vulnerabilities in IoT systems
• Authentication, encryption, and access control
• Incident response planning
Module 3: Data Privacy and Regulatory Compliance (11:30 – 01:00)
• GDPR, CCPA, and data protection laws
• Customer consent and data governance
• Trust-building through transparency
Module 4: Workshop – Security Risk Assessment (02:00 – 03:30)
• Assessing IoT risk scenarios
• Prioritizing security measures
• Policy recommendations
Day 5: Strategy, Innovation, and IoT Project Planning
Module 1: Building an IoT Strategy (07:30 – 09:30)
• Vision, objectives, and value proposition
• Aligning technology with business goals
• Stakeholder engagement
Module 2: Evaluating Vendors and Platforms (09:45 – 11:15)
• Selection criteria for IoT partners
• Open vs. closed platforms
• Total cost of ownership considerations
Module 3: Planning and Managing IoT Projects (11:30 – 01:00)
• Phased rollout and pilot testing
• KPIs and success metrics
• Budgeting and ROI calculation
Module 4: Final Assessment and Action Planning (02:00 – 03:30)
• Project pitch presentations
• Individual action plans
• Feedback, wrap-up, and course evaluation
Certification
Participants will receive a Certificate of Completion in The Internet of Things (IoT) in Retail, demonstrating their knowledge and readiness to lead IoT-driven innovation and transformation in the retail sector.