AI is already changing the way ecommerce businesses work. Many teams have tried tools like ChatGPT, Claude, or other AI platforms, but for most companies, AI is still being used in a very random way — one prompt here, one task there, and no clear system behind it. This presentation looks at a more practical question: how can ecommerce teams turn AI from a simple tool into a repeatable workflow that actually improves daily operations? The talk focuses on real ecommerce work, including customer review analysis, support summaries, campaign planning, product listing improvements, reporting, and operational tasks that teams repeat every week. Instead of presenting AI as something that replaces people, the session shows how AI can support teams by reducing blank-page work, organizing messy information, and helping people make faster and clearer decisions. The main framework introduced in the presentation is: Capture → Analyse → Create → Execute → Learn. This gives teams a simple way to choose one recurring task, collect real examples, build a clear process, keep human approval in place, and test the workflow over 30 days. The goal is not to automate everything at once, but to start with one painful and repetitive task that can quickly show value. The presentation also shares where AI workflows can be applied across ecommerce, from customer insight and product pages to marketing campaigns, weekly reporting, and internal operations. The key message is that the companies that benefit most from AI will not simply be the ones using the most tools. They will be the ones that build clear workflows around AI, so their teams can learn faster, launch faster, and work with more focus. Keywords Artificial Intelligence; Ecommerce; AI Workflow; Process Automation; Customer Insight; Campaign Planning; Product Listing Optimization; Reporting; Human-in-the-Loop Automation; Business Growth

Dylan Lam is the founder of Omirank, a digital marketing agency supporting ecommerce and Amazon sellers with growth strategy, lead generation, PPC, media buying, email marketing, and AI-driven systems. Known as “Digital Dylan,” he works with sellers and ecommerce brands to improve performance through practical strategy, data, automation, and execution. His work focuses on helping ecommerce teams use AI in a practical way — not just for one-off prompts, but as part of clear workflows that support real business tasks. His approach combines creativity, analytics, and emerging technologies to help businesses reduce manual work, improve decision-making, and build more efficient systems for growth.