Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Retail and e-commerce companies manage thousands of SKUs while competing for visibility in both classic and AI search (GEO), reducing cart abandonment and returns, and aligning store and HQ operations. This course covers AI workflows across category management, product description and attribute enrichment, customer review and return-reason analysis, personalised CRM campaigns and store operations communication.

Participants work hands-on with their own category and channel examples, leaving with a scalable product-content template, a return-reduction analysis workflow and a commercial verification checklist.

Who Should Attend?

  • E-commerce, marketplace and digital channel managers
  • Category management, merchandising and buying teams
  • CRM, loyalty and growth marketing specialists
  • Store operations and omnichannel customer experience leads

Key Takeaways

  • Generate accurate, on-brand and SEO/GEO-ready product titles, attributes and descriptions across large catalogues
  • Spot sizing, quality and description mismatches from customer reviews and return logs
  • Design personalised CRM and promotional journeys tailored to customer segments
  • Produce rapid category performance, basket and competitor promo summaries
  • Prepare concise product knowledge cards, visual-merchandising guides and store briefs for field staff

Curriculum

AI Value Drivers Across Omnichannel Retail
  • AI use-case map across category, e-commerce, CRM, merchandising and store operations
  • Combining recommendation engines and demand models with generative AI
  • Shopping assistants and conversational commerce trends
Product Catalogue, Content and Visual Enrichment
  • Turning raw supplier specs into standardised product attributes and descriptions
  • Optimising catalogues for marketplaces, site search and AI answer engines
  • Lifestyle scene generation and quality control for product imagery
Customer Reviews, Return Analysis and Shopping Experience
  • Detecting SKU-level sizing, quality and listing defects from reviews and return logs
  • Creating helpful review digests and buying guides on product pages
  • Pre-purchase Q&A and digital shopping-assistant flows
Category Analysis, Campaigns and CRM Personalisation
  • Extracting action items from weekly category, margin and sell-through tables
  • Tailoring campaign copy and offers to RFM and lifecycle segments
  • Checking promotional claims against Advertising Board and consumer-law rules
Store Operations and Organisational Standards
  • New-season product cards and selling tips for store associates
  • Regional summaries of store audits and customer feedback
  • Verification checklist and shared prompt library for retail teams

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