AI for Retail and Personalized Customer Experience Training Course

Module 1: The AI-Driven Retail Revolution

• Overview of the shift from traditional retail to "Phygital" AI-integrated environments
• Identifying the ROI of AI in retail: Revenue growth vs. cost reduction
• Mapping the customer journey to identify high-impact AI touchpoints
• Comparing AI capabilities in E-commerce vs. Brick-and-Mortar stores
• Introduction to the Retail AI tech stack: Cloud platforms and edge computing
• Practical session: Analyzing a retail business model to prioritize AI use cases based on feasibility

Module 2: Data Engineering for Customer Insights

• Consolidating siloed data: Creating a Unified Customer View (UCV)
• Handling unstructured data: Analyzing customer reviews and social media mentions
• Feature engineering for retail: Recency, Frequency, and Monetary (RFM) variables
• Managing data quality and real-time streaming for "instant" personalization
• Integrating online and offline data for seamless omnichannel tracking
• Practical session: Building a customer profile database and calculating RFM scores for segmentation

Module 3: Building Sophisticated Recommendation Engines

• Introduction to Collaborative Filtering: Using "wisdom of the crowd" for suggestions
• Content-Based Filtering: Recommending products based on item attributes
• Hybrid Recommendation Systems: Combining multiple approaches for higher accuracy
• Implementing "Frequently Bought Together" and "People Also Viewed" algorithms
• Metrics for success: Measuring Click-Through Rate (CTR) and Conversion Lift
• Practical session: Developing a product recommendation engine using a transactional dataset

Module 4: Predictive Analytics for Demand Forecasting

• Time-series analysis for seasonal retail trends and holiday peaks
• Using machine learning to predict product "Sell-Through" rates
• Integrating external factors: Weather, local events, and economic indicators
• Identifying and predicting "Trend" vs. "Fad" using social signals
• Automated replenishment systems: Reducing out-of-stock and overstock scenarios
• Practical session: Building a demand forecasting model for a seasonal product category

Module 5: Dynamic Pricing and Markdown Optimization

• Understanding Price Elasticity of Demand through machine learning models
• Implementing real-time dynamic pricing based on competitor activity and stock
• Strategies for AI-driven markdown optimization to clear seasonal inventory
• Personalized promotions: Tailoring discounts to individual customer price sensitivity
• Balancing profit margins with competitive positioning in the marketplace
• Practical session: Simulating a dynamic pricing environment to maximize revenue on high-volume items

Module 6: Computer Vision in Physical Retail

• In-store heat mapping: Analyzing customer flow and dwell times
• Automated shelf monitoring: Detecting out-of-stock items and planogram compliance
• Frictionless checkout: Understanding the tech behind "Just Walk Out" shopping
• Demographics analysis: Using AI to understand shopper age and gender (anonymized)
• Loss prevention: Using vision AI to detect ticket switching and "sweethearting"
• Practical session: Using a computer vision API to identify and count objects on a retail shelf

Module 7: Conversational AI and Virtual Shopping Assistants

• Designing AI Chatbots for 24/7 customer support and order tracking
• Natural Language Understanding (NLU) for identifying customer intent and sentiment
• Building "Virtual Stylists": Using generative AI to provide fashion advice
• Voice-commerce: Implementing search and ordering via smart speakers
• Integrating conversational AI with CRM data for personalized support
• Practical session: Developing a basic retail chatbot that can handle product inquiries and size guides

Module 8: Hyper-Personalization in Digital Marketing

• Moving from broad segments to "Segments of One" using machine learning
• AI-driven email marketing: Optimizing send times and subject lines
• Predictive Churn Modeling: Identifying at-risk customers before they leave
• Programmatic advertising: Using AI to target the right customer with the right creative
• Measuring the "Incremental Lift" of personalized marketing campaigns
• Practical session: Implementing a churn prediction model to identify customers for a win-back campaign

Module 9: Supply Chain and Inventory Intelligence

• Warehouse automation: AI for picking, packing, and sorting efficiency
• Last-mile delivery optimization: Route planning and delivery time prediction
• Using AI to manage returns and "reverse logistics" more profitably
• Supplier risk management: Predicting disruptions in the global supply chain
• Sustainable retail: Using AI to reduce waste and carbon footprint in logistics
• Practical session: Designing an optimized delivery route based on multiple simulated drop-off points

Module 10: AI Ethics, Privacy, and Future Trends

• Navigating GDPR and consumer privacy laws in personalized retail
• Addressing algorithmic bias: Ensuring fair pricing and promotion distribution
• Transparency in AI: Explaining "Why this was recommended for you"
• The future of retail: Augmented Reality (AR) try-ons and the Metaverse
• Building a roadmap for AI adoption and organizational change management
• Practical session: Conducting a privacy audit on a proposed customer tracking and personalization project

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute 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@armstrongglobalinstitute.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@armstrongglobalinstitute.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@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588